The precise estimation of the global agricultural cropland- extents, areas, geographic locations, crop types, cropping intensities, and their watering methods (irrigated or rainfed; type of irrigation) provides a critical scientific basis for the development of water and food security policies (Thenkabail et al., 2012, 2011, 2010). By year 2100, the global human population is expected to grow to 10.4 billion under median fertility variants or higher under constant or higher fertility variants (Table 1) with over three quarters living in developing countries, in regions that already lack the capacity to produce enough food. With current agricultural practices, the increased demand for food and nutrition would require in about 2 billion hectares of additional cropland, about twice the equivalent to the land area of the United States, and lead to significant increases in greenhouse gas productions (Tillman et al., 2011). For example, during 1960-2010 world population more than doubled from 3 billion to 7 billion. The nutritional demand of the population also grew swiftly during this period from an average of about 2000 calories per day per person in 1960 to nearly 3000 calories per day per person in 2010. The food demand of increased population along with increased nutritional demand during this period (1960-2010) was met by the “green revolution” which more than tripled the food production; even though croplands decreased from about 0.43 ha/capita to 0.26 ha/capita (FAO, 2009). The increase in food production during the green revolution was the result of factors such as: (a) expansion in irrigated areas which increased from 130 Mha in 1960s to 278.4 Mha in year 2000 (Siebert et al., 2006) or 399 Mha when you do not consider cropping intensity (Thenkabail et al., 2009a, 2009b, 2009c) or 467 Mha when you consider cropping intensity (Thenkabail et al., 2009a; Thenkabail et al., 2009c); (b) increase in yield and per capita food production (e.g., cereal production from 280 kg/person to 380 kg/person and meat from 22 kg/person to 34 kg/person (McIntyre, 2008); (c) new cultivar types (e.g., hybrid varieties of wheat and rice, biotechnology); and (d) modern agronomic and crop management practices (e.g., fertilizers, herbicide, pesticide applications). However, some of the factors that lead to the green revolution have stressed the environment to limits leading to salinization and decreasing water quality. For example, from 1960 to 2000, the phosphorous use doubled from 10 million tons to 20 MT, pesticide use tripled from near zero to 3 MT, and nitrogen use as fertilizer increased to a staggering 80 MT from just 10 MT (Foley et al., 2007; Khan and Hanjra, 2008). Further, diversion of croplands to bio-fuels is already taking water away from food production; the economics, carbon sequestration, environmental, and food security impacts of biofuel production are net negative (Lal and Pimentel, 2009), leaving us with a carbon debt (Gibbs et al., 2008; Searchinger et al., 2008). Climate models predict that in most regions of the world the hottest seasons on record will become the norm by the end of the century-an outcome that bodes ill for feeding the world (Kumar and Singh, 2005). Also, crop yield increases of the green revolution era have now stagnated (Hossain et al., 2005). Thereby, further increase in food production through increase in cropland areas and\\or increased allocations of water for croplands are widely considered unsustainable and\\or infeasible. Indeed, cropland areas have even begun to decrease in many 3 parts of the World due to factors such as urbanization, industrialization, and salinization. Furthermore, ecological and environmental imperatives such as biodiversity conservation and atmospheric carbon sequestration have put a cap on the possible expansion of cropland areas to other lands such as forests and rangelands. Other important factors limit food security. These include factors such as diversion of croplands to biofuels (Bindraban et al., 2009), limited water resources for irrigation expansion (Turral et al., 2009), limits on agricultural intensifications, loss of croplands to urbanization (Khan and Hanjra, 2008), increasing meat consumption (and associated demands on land and water) (Vinnari and Tapio, 2009), environmental infeasibility for cropland expansion (Gordon et al., 2009), and changing climate have all put pressure on our continued ability to sustain global food security in the twenty-first century. So, how does the World continue to meet its food and nutrition needs?. Solutions may come from bio-technology and precision farming, however developments in these fields are not currently moving at rates that will ensure global food security over next few decades. Further, there is a need for careful consideration of possible harmful effects of bio-technology. We should not be looking back 30– 50 years from now, like we have been looking back now at many mistakes made during the green revolution. During the green revolution the focus was only on getting more yield per unit area. Little thought was put about serious damage done to our natural environments, water resources, and human health as a result of detrimental factors such as uncontrolled use of herbicides-pesticides-nutrients, drastic groundwater mining, and salinization of fertile soils due to over irrigation. Currently, there is talk of a “second green revolution” or even an “ever green revolution”, but clear ideas on what these terms actually mean are still debated and are evolving. One of the biggest issues that are not given adequate focus is the use of large quantities of water for food production. Indeed, an overwhelming proportion (60-90%) of all human water use in India goes for producing their food (Falkenmark, M., & Rockström, 2006). But such intensive water use for food production is no longer tenable due to increasing pressure for water use alternatives such as increasing urbanization, industrialization, environmental flows, bio-fuels, and recreation. This has brought into sharp focus the need to grow more food per drop of water leading to a “blue revolution”
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Land resources: monitoring, modelling, and mapping","language":"English","publisher":"Taylor & Francis","publisherLocation":"Boca Raton, Florida","usgsCitation":"Teluguntla, P.G., Thenkabail, P.S., Xiong, J., Gumma, M., Giri, C., Milesi, C., Ozdogan, M., Congalton, R., Tilton, J., Sankey, T.T., Massey, R., Phalke, A., and Yadav, K., 2015, Global Cropland Area Database (GCAD) derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities, chap. of Land resources: monitoring, modelling, and mapping, 45 p.","productDescription":"45 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054785","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":309997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56221fb0e4b06217fc47921f","contributors":{"authors":[{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841 pteluguntla@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":5275,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"pteluguntla@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Jun 0000-0002-2320-0780 jxiong@usgs.gov","orcid":"https://orcid.org/0000-0002-2320-0780","contributorId":5276,"corporation":false,"usgs":true,"family":"Xiong","given":"Jun","email":"jxiong@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":519107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gumma, Murali Krishna","contributorId":50426,"corporation":false,"usgs":true,"family":"Gumma","given":"Murali Krishna","affiliations":[],"preferred":false,"id":577764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":577765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milesi, Cristina","contributorId":107590,"corporation":false,"usgs":true,"family":"Milesi","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":577766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ozdogan, Mutlu","contributorId":32060,"corporation":false,"usgs":true,"family":"Ozdogan","given":"Mutlu","affiliations":[],"preferred":false,"id":577767,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Congalton, Russ","contributorId":149288,"corporation":false,"usgs":false,"family":"Congalton","given":"Russ","email":"","affiliations":[],"preferred":false,"id":577768,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tilton, James","contributorId":149289,"corporation":false,"usgs":false,"family":"Tilton","given":"James","email":"","affiliations":[],"preferred":false,"id":577769,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sankey, Temuulen Tsagaan","contributorId":149290,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"Tsagaan","affiliations":[],"preferred":false,"id":577770,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Massey, Richard","contributorId":149291,"corporation":false,"usgs":false,"family":"Massey","given":"Richard","affiliations":[],"preferred":false,"id":577771,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Phalke, Aparna","contributorId":149292,"corporation":false,"usgs":false,"family":"Phalke","given":"Aparna","email":"","affiliations":[],"preferred":false,"id":577772,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Yadav, Kamini","contributorId":138720,"corporation":false,"usgs":false,"family":"Yadav","given":"Kamini","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":577773,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70148052,"text":"70148052 - 2015 - Characterizing toxicity of metal-contaminated sediments from mining areas","interactions":[],"lastModifiedDate":"2018-09-04T15:35:04","indexId":"70148052","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing toxicity of metal-contaminated sediments from mining areas","docAbstract":"This paper reviews methods for testing the toxicity of metals associated with freshwater sediments, linking toxic effects with metal exposure and bioavailability, and developing sediment quality guidelines. The most broadly applicable approach for characterizing metal toxicity is whole-sediment toxicity testing, which attempts to simulate natural exposure conditions in the laboratory. Standard methods for whole-sediment testing can be adapted to test a wide variety of taxa. Chronic sediment tests that characterize effects on multiple endpoints (e.g., survival, growth, and reproduction) can be highly sensitive indicators of adverse effects on resident invertebrate taxa. Methods for testing of aqueous phases (pore water, overlying water, or elutriates) are used less frequently. Analysis of sediment toxicity data focuses on statistical comparisons between responses in sediments from the study area and responses in one or more uncontaminated reference sediments. For large or complex study areas, a greater number of reference sediments is recommended to reliably define the normal range of responses in uncontaminated sediments – the ‘reference envelope’. Data on metal concentrations and effects on test organisms across a gradient of contamination may allow development of concentration-response models, which estimate metal concentrations associated with specified levels of toxic effects (e.g. 20% effect concentration or EC20). Comparisons of toxic effects in laboratory tests with measures of impacts on resident benthic invertebrate communities can help document causal relationships between metal contamination and biological effects. Total or total-recoverable metal concentrations in sediments are the most common measure of metal contamination in sediments, but metal concentrations in labile sediment fractions (e.g., determined as part of selective sediment extraction protocols) may better represent metal bioavailability. Metals released by the weak-acid extraction of acid-volatile sulfide (AVS), termed simultaneously-extracted metals (SEM), are widely used to estimate the ‘potentially-bioavailable’ fraction of metals that is not bound to sulfides (i.e., SEM-AVS). Metal concentrations in pore water are widely considered to be direct measures of metal bioavailability, and predictions of toxicity based on pore-water metal concentrations may be further improved by modeling interactions of metals with other pore-water constituents using Biotic Ligand Models. Data from sediment toxicity tests and metal analyses has provided the basis for development of sediment quality guidelines, which estimate thresholds for toxicity of metals in sediments. Empirical guidelines such as Probable Effects Concentrations or (PECs) are based on associations between sediment metal concentrations and occurrence of toxic effects in large datasets. PECs do not model bioavailable metals, but they can be used to estimate the toxicity of metal mixtures using by calculation of probable effect quotients (PEQ = sediment metal concentration/PEC). In contrast, mechanistic guidelines, such as Equilibrium Partitioning Sediment Benchmarks (ESBs) attempt to predict both bioavailability and mixture toxicity. Application of these simple bioavailability models requires more extensive chemical characterization of sediments or pore water, compared to empirical guidelines, but may provide more reliable estimates of metal toxicity across a wide range of sediment types.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.05.021","usgsCitation":"Besser, J.M., Brumbaugh, W.G., and Ingersoll, C.G., 2015, Characterizing toxicity of metal-contaminated sediments from mining areas: Applied Geochemistry, v. 57, p. 73-84, https://doi.org/10.1016/j.apgeochem.2014.05.021.","productDescription":"12 p.","startPage":"73","endPage":"84","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041372","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":300417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555718b3e4b0a92fa7e9d033","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":546959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144530,"text":"70144530 - 2015 - Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","interactions":[],"lastModifiedDate":"2017-11-22T18:01:48","indexId":"70144530","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","docAbstract":"Analyses of how organisms are likely to respond to a changing climate have focused largely on the direct effects of warming temperatures, though changes in other variables may also be important, particularly the amount and timing of precipitation. Here, we develop a network of eight growth-increment width chronologies for freshwater mussel species in the Pacific Northwest, United States and integrate them with tree-ring data to evaluate how terrestrial and aquatic indicators respond to hydroclimatic variability, including river discharge and precipitation. Annual discharge averaged across water years (October 1–September 30) was highly synchronous among river systems and imparted a coherent pattern among mussel chronologies. The leading principal component of the five longest mussel chronologies (1982–2003; PC1mussel) accounted for 47% of the dataset variability and negatively correlated with the leading principal component of river discharge (PC1discharge; r = −0.88; P < 0.0001). PC1mussel and PC1discharge were closely linked to regional wintertime precipitation patterns across the Pacific Northwest, the season in which the vast majority of annual precipitation arrives. Mussel growth was also indirectly related to tree radial growth, though the nature of the relationships varied across the landscape. Negative correlations occurred in forests where tree growth tends to be limited by drought while positive correlations occurred in forests where tree growth tends to be limited by deep or lingering snowpack. Overall, this diverse assemblage of chronologies illustrates the importance of winter precipitation to terrestrial and freshwater ecosystems and suggests that a complexity of climate responses must be considered when estimating the biological impacts of climate variability and change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12756","usgsCitation":"Black, B.A., Dunham, J., Blundon, B.W., Brim-Box, J., and Tepley, A.J., 2015, Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest: Global Change Biology, v. 21, no. 2, p. 594-604, https://doi.org/10.1111/gcb.12756.","productDescription":"11 p.","startPage":"594","endPage":"604","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056994","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":299199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.068359375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"551bc52ce4b0323842783a4e","chorus":{"doi":"10.1111/gcb.12756","url":"http://dx.doi.org/10.1111/gcb.12756","publisher":"Wiley-Blackwell","authors":"Black Bryan A., Dunham Jason B., Blundon Brett W., Brim-Box Jayne, Tepley Alan J.","journalName":"Global Change Biology","publicationDate":"11/17/2014","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":543683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blundon, Brett W.","contributorId":26805,"corporation":false,"usgs":false,"family":"Blundon","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brim-Box, Jayne","contributorId":139992,"corporation":false,"usgs":false,"family":"Brim-Box","given":"Jayne","email":"","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":543685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepley, Alan J.","contributorId":139993,"corporation":false,"usgs":false,"family":"Tepley","given":"Alan","email":"","middleInitial":"J.","affiliations":[{"id":13346,"text":"University of Colorado at Boulder, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":543686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137756,"text":"70137756 - 2015 - North Cascades National Park Service Complex","interactions":[],"lastModifiedDate":"2017-11-22T15:53:32","indexId":"70137756","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NPS/NOCA/NRR—2015/901","title":"North Cascades National Park Service Complex","docAbstract":"Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs.
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This study characterized groundwater quality in a sandy, water-table aquifer influenced by suburban development and compared the results to known patterns in water chemistry associated with natural, background conditions and agricultural effects. Samples for nutrients, major ions, and isotopes of N and O in NO3− were collected in 2011 beneath turfgrass from 29 shallow wells (median depth 3.7 m) and from 18 deeper wells (median depth 16.9 m) in a long-term suburban development. Nitrate (as N) concentrations in groundwater beneath turfgrass were highly variable (0.02–22.3 mg L−1) with a median of 2.7 mg L−1, which is higher than natural water chemistry (>0.4 mg L−1; Na+–Cl−–HCO3− water type), but significantly lower than concentrations beneath a nearby agricultural area (median 16.9 mg L−1; p < .0001). Dissolved Fe concentrations in shallow suburban groundwater, attributed to chelated Fe in turfgrass fertilizers, were significantly higher (p < .005) than concentrations from the agricultural site, although a Ca2+–Mg2+–Cl−–NO3− water type was dominant in both areas. A Na+–Cl−–NO3− water type indicated a septic-system source for nitrate in deep suburban groundwater (0.06–6.0 mg L−1; median 1.5 mg L−1). Isotopic data indicated denitrification; however, geochemical techniques were more helpful in identifying nitrate sources. Results indicate that suburban expansion into agricultural areas may significantly decrease overall nitrate concentrations in groundwater, but excessive turfgrass fertilization could result in localized contamination.
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through molecular detection and characterization of haematozoa in northern pintails (Anas acuta) sampled throughout the North Pacific Basin","interactions":[],"lastModifiedDate":"2015-05-01T11:28:08","indexId":"70147431","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for intercontinental parasite exchange through molecular detection and characterization of haematozoa in northern pintails (Anas acuta) sampled throughout the North Pacific Basin","docAbstract":"Empirical evidence supports wild birds as playing a role in the interhemispheric exchange of bacteria and viruses; however, data supporting the redistribution of parasites among continents are limited. In this study, the hypothesis that migratory birds contribute to the redistribution of parasites between continents was tested by sampling northern pintails (Anas acuta) at locations throughout the North Pacific Basin in North America and East Asia for haemosporidian infections and assessing the genetic evidence for parasite exchange. Of 878 samples collected from birds in Alaska (USA), California (USA), and Hokkaido (Japan) during August 2011 - May 2012 and screened for parasitic infections using molecular techniques, Leucocytozoon, Haemoproteus, and Plasmodium parasites were detected in 555 (63%), 44 (5%), and 52 (6%) samples, respectively. Using an occupancy modeling approach, the probability of detecting parasites via replicate genetic tests was estimated to be high (p ≥ 0.95). Multi-model inference supported variation of Leucocytozoon parasite prevalence by northern pintail age class and geographic location of sampling in contrast to Haemoproteus and Plasmodium parasites for which there was only support for variation in parasite prevalence by sampling location. Thirty-one unique mitochondrial DNA haplotypes were detected among haematozoa infecting northern pintails including seven lineages shared between samples from North America and Japan. The finding of identical parasite haplotypes at widely distributed geographic locations and general lack of genetic structuring by continent in phylogenies for Leucocytozoon and Plasmodium provides evidence for intercontinental genetic exchange of haemosporidian parasites. Results suggest that migratory birds, including waterfowl, could therefore facilitate the introduction of avian malaria and other haemosporidia to novel hosts and spatially distant regions.
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Assessment of critical loads, which are the maximum exposure to pollution an area can receive without adverse effects on sensitive ecosystems, requires accurate deposition estimates. However, deposition is difficult and expensive to measure in high-elevation wilderness, and spatial patterns in N and S deposition in these areas remain poorly quantified. In this study, ion-exchange resin (IER) collectors were used to measure dissolved inorganic N (DIN) and S deposition during June 2006–September 2007 at approximately 20 alpine/subalpine sites spanning the Continental Divide in Rocky Mountain National Park. Results indicated good agreement between deposition estimated from IER collectors and commonly used wet + dry methods during summer, but poor agreement during winter. Snowpack sampling was found to be a more accurate way of quantifying DIN and S deposition during winter. Summer DIN deposition was significantly greater on the east side of the park than on the west side (25–50%; p ≤ 0.03), consistent with transport of pollutants to the park from urban and agricultural areas to the east. Sources of atmospheric nitrate (NO3−) were examined using N isotopes. The average δ15N of NO3− from IER collectors was 3.5‰ higher during winter than during summer (p < 0.001), indicating a seasonal shift in the relative importance of regional NOxsources, such as coal combustion and vehicular sources of atmospheric NO3−. There were no significant differences in δ15N of NO3− between east and west sides of the park during summer or winter (p = 0.83), indicating that the two areas may have similar sources of atmospheric NO3−. Results from this study indicate that a combination of IER collectors and snowpack sampling can be used to characterize spatial variability in DIN and S deposition in high-elevation wilderness areas. These data can improve our ability to model critical loads by filling gaps in geographic coverage of deposition monitoring/modeling programs and thus may enable policy makers to better protect sensitive natural resources in Class 1 Wilderness areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2014.11.027","usgsCitation":"Clow, D.W., Roop, H., Nanus, L., Fenn, M., and Sexstone, G.A., 2015, Spatial patterns of atmospheric deposition of nitrogen and sulfur using ion-exchange resin collectors in Rocky Mountain National Park, USA: Atmospheric Environment, v. 101, p. 149-157, https://doi.org/10.1016/j.atmosenv.2014.11.027.","productDescription":"9 p.","startPage":"149","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059891","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":472435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2014.11.027","text":"Publisher Index Page"},{"id":324950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.90545654296875,\n 40.12429084831405\n ],\n [\n -105.90545654296875,\n 40.561807971278185\n ],\n [\n -105.4522705078125,\n 40.561807971278185\n ],\n [\n -105.4522705078125,\n 40.12429084831405\n ],\n [\n -105.90545654296875,\n 40.12429084831405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223c1","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roop, Heidi","contributorId":64581,"corporation":false,"usgs":true,"family":"Roop","given":"Heidi","email":"","affiliations":[],"preferred":false,"id":519581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":519580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenn, Mark","contributorId":119427,"corporation":false,"usgs":true,"family":"Fenn","given":"Mark","affiliations":[],"preferred":false,"id":519582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546 sexstone@usgs.gov","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":5159,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham","email":"sexstone@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148029,"text":"70148029 - 2015 - Chronology and ecology of late Pleistocene megafauna in the northern Willamette Valley, Oregon","interactions":[],"lastModifiedDate":"2019-04-24T16:24:08","indexId":"70148029","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Chronology and ecology of late Pleistocene megafauna in the northern Willamette Valley, Oregon","docAbstract":"Since the mid-19th century, western Oregon's Willamette Valley has been a source of remains from a wide variety of extinct megafauna. Few of these have been previously described or dated, but new chronologic and isotopic analyses in conjunction with updated evaluations of stratigraphic context provide substantial new information on the species present, timing of losses, and paleoenvironmental conditions. Using subfossil material from the northern valley, we use AMS radiocarbon dating, stable isotope (δ13C and δ15N) analyses, and taxonomic dietary specialization and habitat preferences to reconstruct environments and to develop a local chronology of events that we then compare with continental and regional archaeological and paleoenvironmental data. Analysis of twelve bone specimens demonstrates the presence of bison, mammoth, horse, sloth, and mastodon from ~ 15,000–13,000 cal yr BP. The latest ages coincide with changing regional climate corresponding to the onset of the Younger Dryas. It is suggested that cooling conditions led to increased forest cover, and, along with river aggradation, reduced the area of preferred habitat for the larger bodied herbivores, which contributed to the demise of local megafauna. Archaeological evidence for megafauna–human interactions in the Pacific Northwest is scarce, limiting our ability to address the human role in causing extinction.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.yqres.2014.09.003","usgsCitation":"Gilmour, D.M., Butler, V.L., O'Connor, J., Davis, E.B., Culleton, B.J., Kennett, D.J., and Hodgins, G.W., 2015, Chronology and ecology of late Pleistocene megafauna in the northern Willamette Valley, Oregon: Quaternary Research, v. 83, no. 1, p. 127-136, https://doi.org/10.1016/j.yqres.2014.09.003.","productDescription":"10 p.","startPage":"127","endPage":"136","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053865","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":300375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Universal Transverse Mercator, Zone 10N","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Willamette 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Models were developed with and without exclusion of rare taxa at a site. BRT models are robust, requiring few assumptions compared with traditional modeling techniques such as multiple linear regression. The BRT models were constructed to provide baseline support to stressor delineation by identifying natural physiographic and human land use gradients affecting stream biological condition statewide and for eight ecological regions within the state, as part of the development of numerical biological objectives for California’s wadeable streams. Regions were defined on the basis of ecological, hydrologic, and jurisdictional factors and roughly corresponded with ecoregions. Physiographic and land use variables were derived from geographic information system coverages. The model for the entire state (n = 1,386) identified a composite measure of anthropogenic disturbance (the sum of urban, agricultural, and unmanaged roadside vegetation land cover) within the local watershed as the most important variable, explaining 56 % of the variance in O/E values. Models for individual regions explained between 51 and 84 % of the variance in O/E values. Measures of human disturbance were important in the three coastal regions. In the South Coast and Coastal Chaparral, local watershed measures of urbanization were the most important variables related to biological condition, while in the North Coast the composite measure of human disturbance at the watershed scale was most important. In the two mountain regions, natural gradients were most important, including slope, precipitation, and temperature. The remaining three regions had relatively small sample sizes (n ≤ 75 sites) and had models that gave mixed results. Understanding the spatial scale at which land use and land cover affect taxonomic completeness is imperative for sound management. Our results suggest that invertebrate taxonomic completeness is affected by human disturbance at the statewide and regional levels, with some differences among regions in the importance of natural gradients and types of human disturbance. The construction and application of models similar to the ones presented here could be useful in the planning and prioritization of actions for protection and conservation of biodiversity in California streams.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-4086-x","usgsCitation":"May, J.T., Brown, L.R., Rehn, A.C., Waite, I.R., Ode, P., Mazor, R., and Schiff, K., 2015, Correspondence of biological condition models of California streams at statewide and regional scales: Environmental Monitoring and Assessment, v. 187, Article 4086; 21 p., https://doi.org/10.1007/s10661-014-4086-x.","productDescription":"Article 4086; 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-014-4086-x","text":"Publisher Index Page"},{"id":325078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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The search for these features represents an important aspect of the Curiosity rover mission. With its unique ability to do fine-scale chemical depth profiling, the ChemCam laser-induced breakdown spectroscopy instrument (LIBS) onboard Curiosity can be used to both identify and analyze rock surface alteration features. In this study we analyze a terrestrial manganese-rich rock varnish coating on a basalt rock in the laboratory with the ChemCam engineering model to determine the LIBS signature of a natural rock coating. Results show that there is a systematic decrease in peak heights for elements such as Mn that are abundant in the coating but not the rock. There is significant spatial variation in the relative abundance of coating elements detected by LIBS depending on where on the rock surface sampled; this is due to the variability in thickness and spatial discontinuities in the coating. Similar trends have been identified in some martian rock targets in ChemCam data, suggesting that these rocks may have coatings or weathering rinds on their surfaces.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.05.038","usgsCitation":"Lanza, N.L., Ollila, A.M., Cousin, A., Wiens, R.C., Clegg, S.M., Mangold, N., Bridges, N., Cooper, D., Schmidt, M.E., Berger, J., Arvidson, R.E., Melikechi, N., Newsom, H.E., Tokar, R., Hardgrove, C., Mezzacappa, A., Jackson, R.S., Clark, B., Forni, O., Maurice, S., Nachon, M., Anderson, R.B., Blank, J., Deans, M., Delapp, D., Léveillé, R., McInroy, R., Martinez, R., Meslin, P., and Pinet, P., 2015, Understanding the signature of rock coatings in laser-induced breakdown spectroscopy data: Icarus, v. 249, p. 62-73, https://doi.org/10.1016/j.icarus.2014.05.038.","productDescription":"12 p.","startPage":"62","endPage":"73","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052703","costCenters":[{"id":131,"text":"Astrogeology Science 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However, the TC/EA IRMS method may produce inaccurate δ2H results, with values deviating by more than 20 mUr (milliurey = 0.001 = 1‰) from the true value for some materials. We show that a single-oven, chromium-filled elemental analyzer coupled to an IRMS substantially improves the measurement quality and reliability for hydrogen isotopic compositions of organic substances (Cr-EA method). Hot chromium maximizes the yield of molecular hydrogen in a helium carrier gas by irreversibly and quantitatively scavenging all reactive elements except hydrogen. In contrast, under TC/EA conditions, heteroelements like nitrogen or chlorine (and other halogens) can form hydrogen cyanide (HCN) or hydrogen chloride (HCl) and this can cause isotopic fractionation. The Cr-EA technique thus expands the analytical possibilities for on-line hydrogen-isotope measurements of organic samples significantly. This method yielded reproducibility values (1-sigma) for δ2H measurements on water and caffeine samples of better than 1.0 and 0.5 mUr, respectively. To overcome handling problems with water as the principal calibration anchor for hydrogen isotopic measurements, we have employed an effective and simple strategy using reference waters or other liquids sealed in silver-tube segments. These crimped silver tubes can be employed in both the Cr-EA and TC/EA techniques. They simplify considerably the normalization of hydrogen-isotope measurement data to the VSMOW-SLAP (Vienna Standard Mean Ocean Water-Standard Light Antarctic Precipitation) scale, and their use improves accuracy of the data by eliminating evaporative loss and associated isotopic fractionation while handling water as a bulk sample. The calibration of organic samples, commonly having high δ2H values, will benefit from the availability of suitably 2H-enriched reference waters, extending the VSMOW-SLAP scale above zero.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.analchem.5b00085","usgsCitation":"Gehre, M., Renpenning, J., Gilevska, T., Qi, H., Coplen, T.B., Meijer, H.A., Brand, W.A., and Schimmelmann, A., 2015, On-line hydrogen-isotope measurements of organic samples using elemental chromium: An extension for high temperature elemental-analyzer techniques: Analytical Chemistry, v. 87, no. 10, p. 5198-5205, https://doi.org/10.1021/acs.analchem.5b00085.","productDescription":"8 p.","startPage":"5198","endPage":"5205","ipdsId":"IP-063767","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/dd96a5e9-9828-4660-a829-e3c35aba7496","text":"External Repository"},{"id":338527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"58dcc7d6e4b02ff32c685679","contributors":{"authors":[{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":686716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renpenning, Julian","contributorId":189953,"corporation":false,"usgs":false,"family":"Renpenning","given":"Julian","email":"","affiliations":[],"preferred":false,"id":686717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilevska, Tetyana","contributorId":189992,"corporation":false,"usgs":false,"family":"Gilevska","given":"Tetyana","email":"","affiliations":[],"preferred":false,"id":686718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":686715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meijer, Harro A.J.","contributorId":187804,"corporation":false,"usgs":false,"family":"Meijer","given":"Harro","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":686720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brand, Willi A.","contributorId":33091,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":686721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":686722,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189623,"text":"70189623 - 2015 - Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System","interactions":[],"lastModifiedDate":"2017-07-19T10:43:46","indexId":"70189623","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2070,"text":"International Journal of Rock Mechanics and Mining Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System","docAbstract":"Creation of an Enhanced Geothermal System relies on stimulation of fracture permeability through self-propping shear failure that creates a complex fracture network with high surface area for efficient heat transfer. In 2010, shear stimulation was carried out in well 27-15 at Desert Peak geothermal field, Nevada, by injecting cold water at pressure less than the minimum principal stress. An order-of-magnitude improvement in well injectivity was recorded. Here, we describe a numerical model that accounts for injection-induced stress changes and permeability enhancement during this stimulation. In a two-part study, we use the coupled thermo-hydrological-mechanical simulator FEHM to: (i) construct a wellbore model for non-steady bottom-hole temperature and pressure conditions during the injection, and (ii) apply these pressures and temperatures as a source term in a numerical model of the stimulation. In this model, a Mohr-Coulomb failure criterion and empirical fracture permeability is developed to describe permeability evolution of the fractured rock. The numerical model is calibrated using laboratory measurements of material properties on representative core samples and wellhead records of injection pressure and mass flow during the shear stimulation. The model captures both the absence of stimulation at low wellhead pressure (WHP ≤1.7 and ≤2.4 MPa) as well as the timing and magnitude of injectivity rise at medium WHP (3.1 MPa). Results indicate that thermoelastic effects near the wellbore and the associated non-local stresses further from the well combine to propagate a failure front away from the injection well. Elevated WHP promotes failure, increases the injection rate, and cools the wellbore; however, as the overpressure drops off with distance, thermal and non-local stresses play an ongoing role in promoting shear failure at increasing distance from the well.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijrmms.2015.06.003","usgsCitation":"Dempsey, D., Kelkar, S., Davatzes, N., Hickman, S.H., and Moos, D., 2015, Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System: International Journal of Rock Mechanics and Mining Sciences, v. 78, p. 190-206, https://doi.org/10.1016/j.ijrmms.2015.06.003.","productDescription":"17 p.","startPage":"190","endPage":"206","ipdsId":"IP-065414","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472392,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1468563","text":"Publisher Index Page"},{"id":344012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.68530273437499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 39.884450178234395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fbae4b0d1f9f065a8d4","contributors":{"authors":[{"text":"Dempsey, David","contributorId":194844,"corporation":false,"usgs":false,"family":"Dempsey","given":"David","email":"","affiliations":[],"preferred":false,"id":705475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelkar, Sharad","contributorId":194845,"corporation":false,"usgs":false,"family":"Kelkar","given":"Sharad","email":"","affiliations":[],"preferred":false,"id":705476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nick","contributorId":194846,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nick","email":"","affiliations":[],"preferred":false,"id":705477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moos, Daniel","contributorId":194847,"corporation":false,"usgs":false,"family":"Moos","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":705478,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182228,"text":"70182228 - 2015 - Denitrification in the Mississippi River network controlled by flow through river bedforms","interactions":[],"lastModifiedDate":"2020-09-01T14:28:52.992248","indexId":"70182228","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Denitrification in the Mississippi River network controlled by flow through river bedforms","docAbstract":"Increasing nitrogen concentrations in the world’s major rivers have led to over-fertilization of sensitive downstream waters. Flow through channel bed and bank sediments acts to remove riverine nitrogen through microbe-mediated denitrification reactions. However, little is understood about where in the channel network this biophysical process is most efficient, why certain channels are more effective nitrogen reactors, and how management practices can enhance the removal of nitrogen in regions where water circulates through sediment and mixes with groundwater - hyporheic zones. Here we present numerical simulations of hyporheic flow and denitrification throughout the Mississippi River network using a hydrogeomorphic model. We find that vertical exchange with sediments beneath the riverbed in hyporheic zones, driven by submerged bedforms, has denitrification potential that far exceeds lateral hyporheic exchange with sediments alongside river channels, driven by river bars and meandering banks. We propose that geomorphic differences along river corridors can explain why denitrification efficiency varies between basins in the Mississippi River network. Our findings suggest that promoting the development of permeable bedforms at the streambed - and thus vertical hyporheic exchange - would be more effective at enhancing river denitrification in large river basins than promoting lateral exchange through induced channel meandering.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NGEO2567","usgsCitation":"Gomez-Velez, J., Harvey, J.W., Cardenas, M.B., and Kiel, B., 2015, Denitrification in the Mississippi River network controlled by flow through river bedforms: Nature Geoscience, v. 8, p. 941-945, https://doi.org/10.1038/NGEO2567.","productDescription":"5 p.","startPage":"941","endPage":"945","ipdsId":"IP-066691","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Network","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.15234375,\n 46.042735653846506\n ],\n [\n -104.30419921875,\n 49.009050809382046\n ],\n [\n -109.18212890625,\n 49.296471602658066\n ],\n [\n -113.04931640625,\n 48.79239019646406\n ],\n [\n -113.466796875,\n 45.1510532655634\n ],\n [\n -112.7197265625,\n 43.61221676817573\n ],\n [\n -105.3369140625,\n 40.094882122321145\n ],\n [\n -102.12890625,\n 38.44498466889473\n ],\n [\n -94.658203125,\n 37.96152331396614\n ],\n [\n -87.890625,\n 36.10237644873644\n ],\n [\n -85.517578125,\n 35.38904996691167\n ],\n [\n -82.177734375,\n 37.23032838760387\n ],\n [\n -81.5625,\n 36.73888412439431\n ],\n [\n -81.9140625,\n 36.31512514748051\n ],\n [\n -80.419921875,\n 36.87962060502676\n ],\n [\n -78.92578124999999,\n 42.87596410238256\n ],\n [\n -81.73828125,\n 40.97989806962013\n ],\n [\n -84.287109375,\n 40.97989806962013\n ],\n [\n -85.078125,\n 42.22851735620852\n ],\n [\n -86.1328125,\n 42.5530802889558\n ],\n [\n -87.275390625,\n 41.64007838467894\n ],\n [\n -87.802734375,\n 42.293564192170095\n ],\n [\n -87.890625,\n 43.068887774169625\n ],\n [\n -91.845703125,\n 46.558860303117164\n ],\n [\n -94.04296874999999,\n 47.81315451752768\n ],\n [\n -95.09765625,\n 47.21956811231547\n ],\n [\n -95.537109375,\n 46.800059446787316\n ],\n [\n -96.15234375,\n 46.042735653846506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-26","publicationStatus":"PW","scienceBaseUri":"58ad5fc3e4b01ccd54f8b527","contributors":{"authors":[{"text":"Gomez-Velez, Jesus D. jgomezvelez@usgs.gov","contributorId":5362,"corporation":false,"usgs":true,"family":"Gomez-Velez","given":"Jesus D.","email":"jgomezvelez@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":670075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":670074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardenas, M. Bayani","contributorId":181932,"corporation":false,"usgs":false,"family":"Cardenas","given":"M.","email":"","middleInitial":"Bayani","affiliations":[],"preferred":false,"id":670076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiel, Brian","contributorId":181933,"corporation":false,"usgs":false,"family":"Kiel","given":"Brian","email":"","affiliations":[],"preferred":false,"id":670077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189560,"text":"70189560 - 2015 - Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA)","interactions":[],"lastModifiedDate":"2018-09-18T16:14:56","indexId":"70189560","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1535,"text":"Environmental Engineering Science","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA)","docAbstract":"Concentrations and distributions of metals in Suwannee River (SR) raw filtered surface water (RFSW) and dissolved organic matter (DOM) processed by reverse osmosis (RO), XAD-8 resin (for humic and fulvic acids [FA]), and XAD-4 resin (for “transphilic” acids) were analyzed by asymmetrical flow field-flow fractionation (AsFlFFF). SR samples were compared with DOM samples from Nelson's Creek (NLC), a wetland-draining stream in northern Michigan; previous International Humic Substances Society (IHSS) FA and RO samples from the SR; and an XAD-8 sample from Lake Fryxell (LF), Antarctica. Despite application of cation exchange during sample processing, all XAD and RO samples contained substantial metal concentrations. AsFlFFF fractograms allowed metal distributions to be characterized as a function of DOM component molecular weight (MW). In SR RFSW, Fe, Al, and Cu were primarily associated with intermediate to higher than average MW DOM components. SR RO, XAD-8, and XAD-4 samples from May 2012 showed similar MW trends for Fe and Al but Cu tended to associate more with lower MW DOM. LF DOM had abundant Cu and Zn, perhaps due to amine groups that should be present due to its primarily algal origins. None of the fractograms showed obvious evidence for mineral nanoparticles, although some very small mineral nanoparticles might have been present at trace concentrations. This research suggests that AsFlFFF is important for understanding how metals are distributed in different DOM samples (including IHSS samples), which may be key to metal reactivity and bioavailability.
","language":"English","publisher":"Mary Ann Liebert, Inc. Publishers","doi":"10.1089/ees.2014.0298","usgsCitation":"Kuhn, M.K., Neubauer, E., Hofmann, T., von der Kammer, F., Aiken, G.R., and Maurice, P.A., 2015, Concentrations and distributions of metals associated with dissolved organic matter from the Suwannee River (GA, USA): Environmental Engineering Science, v. 32, no. 1, p. 54-65, https://doi.org/10.1089/ees.2014.0298.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-059563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Suwannee River","volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca3e4b0d1f9f0627563","contributors":{"authors":[{"text":"Kuhn, M. Keshia","contributorId":194715,"corporation":false,"usgs":false,"family":"Kuhn","given":"M.","email":"","middleInitial":"Keshia","affiliations":[],"preferred":false,"id":705177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neubauer, Elisabeth","contributorId":194716,"corporation":false,"usgs":false,"family":"Neubauer","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":705178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmann, Thilo","contributorId":194717,"corporation":false,"usgs":false,"family":"Hofmann","given":"Thilo","email":"","affiliations":[],"preferred":false,"id":705179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von der Kammer, Frank","contributorId":194718,"corporation":false,"usgs":false,"family":"von der Kammer","given":"Frank","email":"","affiliations":[],"preferred":false,"id":705180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maurice, Patricia A.","contributorId":194719,"corporation":false,"usgs":false,"family":"Maurice","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189465,"text":"70189465 - 2015 - Identifying sediment sources in the sediment TMDL process","interactions":[],"lastModifiedDate":"2017-07-13T13:10:35","indexId":"70189465","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Identifying sediment sources in the sediment TMDL process","docAbstract":"Sediment is an important pollutant contributing to aquatic-habitat degradation in many waterways of the United States. This paper discusses the application of sediment budgets in conjunction with sediment fingerprinting as tools to determine the sources of sediment in impaired waterways. These approaches complement monitoring, assessment, and modeling of sediment erosion, transport, and storage in watersheds. Combining the sediment fingerprinting and sediment budget approaches can help determine specific adaptive management plans and techniques applied to targeting hot spots or areas of high erosion.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference)","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, VA","language":"English","usgsCitation":"Gellis, A., Fitzpatrick, F., Schubauer-Berigan, J.P., Landy, R., and Gorman Sanisaca, L., 2015, Identifying sediment sources in the sediment TMDL process, in Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference), Reno, VA, April 19-23, 2015, p. 1983-1991.","productDescription":"9 p.","startPage":"1983","endPage":"1991","ipdsId":"IP-062527","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":343799,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf"},{"id":343800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59ca","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":704787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubauer-Berigan, Joseph P.","contributorId":106220,"corporation":false,"usgs":true,"family":"Schubauer-Berigan","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":704789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landy, R.B.","contributorId":101360,"corporation":false,"usgs":true,"family":"Landy","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":704790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864 lgormansanisaca@usgs.gov","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":172247,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian E.","email":"lgormansanisaca@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182234,"text":"70182234 - 2015 - River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins","interactions":[],"lastModifiedDate":"2017-02-21T15:21:24","indexId":"70182234","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins","docAbstract":"Previously regarded as the passive drains of watersheds, over the past 50 years, rivers have progressively been recognized as being actively connected with off-channel environments. These connections prolong physical storage and enhance reactive processing to alter water chemistry and downstream transport of materials and energy. Here we propose river corridor science as a concept that integrates downstream transport with lateral and vertical exchange across interfaces. Thus, the river corridor, rather than the wetted river channel itself, is an increasingly common unit of study. Main channel exchange with recirculating marginal waters, hyporheic exchange, bank storage, and overbank flow onto floodplains are all included under a broad continuum of interactions known as “hydrologic exchange flows.” Hydrologists, geomorphologists, geochemists, and aquatic and terrestrial ecologists are cooperating in studies that reveal the dynamic interactions among hydrologic exchange flows and consequences for water quality improvement, modulation of river metabolism, habitat provision for vegetation, fish, and wildlife, and other valued ecosystem services. The need for better integration of science and management is keenly felt, from testing effectiveness of stream restoration and riparian buffers all the way to reevaluating the definition of the waters of the United States to clarify the regulatory authority under the Clean Water Act. A major challenge for scientists is linking the small-scale physical drivers with their larger-scale fluvial and geomorphic context and ecological consequences. Although the fine scales of field and laboratory studies are best suited to identifying the fundamental physical and biological processes, that understanding must be successfully linked to cumulative effects at watershed to regional and continental scales.
","language":"English","publisher":"Wiley","doi":"10.1002/2015WR017617","usgsCitation":"Harvey, J., and Gooseff, M., 2015, River corridor science: Hydrologic exchange and ecological consequences from bedforms to basins: Water Resources Research, v. 51, no. 9, p. 6893-6922, https://doi.org/10.1002/2015WR017617.","productDescription":"30 p.","startPage":"6893","endPage":"6922","ipdsId":"IP-066971","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":335903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-04","publicationStatus":"PW","scienceBaseUri":"58ad5fc2e4b01ccd54f8b523","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":670103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":670104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189365,"text":"70189365 - 2015 - Arsenic and antimony geochemistry of mine wastes, associated waters and sediments at the Giant Mine, Yellowknife, Northwest Territories, Canada","interactions":[],"lastModifiedDate":"2017-11-08T19:23:19","indexId":"70189365","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic and antimony geochemistry of mine wastes, associated waters and sediments at the Giant Mine, Yellowknife, Northwest Territories, Canada","docAbstract":"Elevated levels of arsenic (As) and antimony (Sb) in water and sediments are legacy residues found downstream from gold-mining activities at the Giant Mine in Yellowknife, Northwest Territories (NWT), Canada. To track the transport and fate of As and Sb, samples of mine-waste from the mill, and surface water, sediment, pore-water, and vegetation downstream of the mine were collected. Mine waste, pore-water, and sediment samples were analyzed for bulk chemistry, and aqueous and solid-state speciation. Sediment and vegetation chemistry were evaluated using scanning electron microscope imaging, synchrotron-based element mapping and electron microprobe analysis. The distributions of As and Sb in sediments were similar, yet their distributions in the corresponding pore-waters were mostly dissimilar, and the mobility of As was greater than that of Sb. Competition for sorption sites is the most likely cause of elevated Sb concentrations in relatively oxidized pore-water and surface water. The aqueous and solid-state speciation of As and Sb also differed. In pore-water, As(V) dominated in oxidizing environments and As(III) in reducing environments. In contrast, the Sb(V) species dominated in all but one pore-water sample, even under reducing conditions. Antimony(III) appears to preferentially precipitate or adsorb onto sulfides as evidenced by the prevalence of an Sb(III)-S secondary solid-phase and the lack of Sb(III)(aq) in the deeper zones. The As(V)–O solid phase became depleted with depth below the sediment–water interface, and the Sb(V)–O phase persisted under relatively reducing conditions. In the surficial zone at a site populated by Equisetum fluviatile (common horsetail), As and Sb were associated with organic material and appeared mobile in the root zone. In the zone below active plant growth, As and Sb were associated primarily with inorganic phases suggesting a release and reprecipitation of these elements upon plant death. The co-existence of reduced and oxidized As and Sb species, instability of some phases under changing redox conditions, and plant uptake and release pose challenges for remediation efforts at the mine.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.012","usgsCitation":"Fawcett, S.E., Jamieson, H.E., Nordstrom, D.K., and McCleskey, R.B., 2015, Arsenic and antimony geochemistry of mine wastes, associated waters and sediments at the Giant Mine, Yellowknife, Northwest Territories, Canada: Applied Geochemistry, v. 62, p. 3-17, https://doi.org/10.1016/j.apgeochem.2014.12.012.","productDescription":"15 p.","startPage":"3","endPage":"17","ipdsId":"IP-031025","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":488690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.12.012","text":"Publisher Index Page"},{"id":343615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories","city":"Yellowknife","otherGeospatial":"Giant Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.39960479736327,\n 62.486001417196405\n ],\n [\n -114.3137741088867,\n 62.486001417196405\n ],\n [\n -114.3137741088867,\n 62.538769571246775\n ],\n [\n -114.39960479736327,\n 62.538769571246775\n ],\n [\n -114.39960479736327,\n 62.486001417196405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b4b0e4b0d1f9f05b3831","contributors":{"authors":[{"text":"Fawcett, Skya E.","contributorId":194509,"corporation":false,"usgs":false,"family":"Fawcett","given":"Skya","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamieson, Heather E.","contributorId":150176,"corporation":false,"usgs":false,"family":"Jamieson","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":704396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":704389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189762,"text":"70189762 - 2015 - Corrigendum to “Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana” [Appl. Geochem. 56 (2015) 50–66]","interactions":[],"lastModifiedDate":"2017-07-24T15:17:57","indexId":"70189762","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Corrigendum to “Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana” [Appl. Geochem. 56 (2015) 50–66]","docAbstract":"The authors regret that the application of the t-plot to determine the presence of micropores in the three sorbents needs the following corrections: (1) Fig. 1a, c, e are N2(g) adsorption and desorption isotherms” (remove “BET”). This correction applies to descriptions in the text as well. (2) Table 2, the column titled “Micropores” is mislabelled, and should be labelled “Film thickness”, which may not equal the pore width. The column titled “Micropore volume” is a correct description for laterite volume 0.0022 cm3 g−1 (t = 0.3–0.5 nm), but the other pore volumes listed cannot be identified as corresponding to micropores. They likely comprise both micropores and mesopores in laterite, while the presence of micropores in activated alumina is not clear. The positive y-intercept for the lowest linear portion of the laterite t-plot curve indicates micropores (Fig. 1f), and the shape of the t-plot curve suggests the presence of both micropores and mesopores. The shape of the activated alumina t-plot curve suggests the presence of micropores and mesopores, but the zero intercept for the lowest linear portion of the curve (Fig. 1b) creates uncertainty regarding the presence of micropores. Also see Storck et al., 1998; Hay et al. 2011 and references therein. (Additional note: analytical instrument Micromeritics® was misspelled as “Micrometrics”).
The authors would like to apologise for any inconvenience caused.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.06.016","usgsCitation":"Craig, L., Stillings, L.L., Decker, D.L., and Thomas, J.M., 2015, Corrigendum to “Comparing activated alumina with indigenous laterite and bauxite as potential sorbents for removing fluoride from drinking water in Ghana” [Appl. Geochem. 56 (2015) 50–66]: Applied Geochemistry, v. 63, p. 451-451, https://doi.org/10.1016/j.apgeochem.2015.06.016.","productDescription":"1 p.","startPage":"451","endPage":"451","ipdsId":"IP-088988","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2015.06.016","text":"Publisher Index Page"},{"id":344273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59770751e4b0ec1a48889f88","contributors":{"authors":[{"text":"Craig, Laura","contributorId":173675,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":706242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":193548,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa","email":"stilling@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":706241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decker, David L.","contributorId":193549,"corporation":false,"usgs":false,"family":"Decker","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":706243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, James M.","contributorId":195094,"corporation":false,"usgs":false,"family":"Thomas","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182262,"text":"70182262 - 2015 - Study 8: Prevalence and load of Nanophyetus salmincola infection in outmigrating steelhead trout from five Puget Sound rivers","interactions":[],"lastModifiedDate":"2017-04-11T12:26:42","indexId":"70182262","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Study 8: Prevalence and load of Nanophyetus salmincola infection in outmigrating steelhead trout from five Puget Sound rivers","docAbstract":"Nanophyetus salmincola is a parasitic trematode, or flatworm, that infects salmonid fishes in the Pacific Northwest, including Washington, Oregon, and portions of California. The adult worm lives in the intestine of fish-eating birds and mammals. Eggs shed into the water hatch into miracidia which penetrate the first intermediate host, one of two species of snail Juga plicifera or J. silicula. Asexual reproduction occurs within the snail. Free-swimming cercaria are released from the snail and penetrate the secondary intermediate host, often a salmonid fish, in fresh and brackish water. The cercaria encyst as metacercaria in various organs of the fish, including gills, muscle and heart, but favor the posterior kidney. Penetration and migration by the cercaria through the fish causes damage to nearly every organ system. Once encysted, metacercaria survive the ocean phase of salmonid life cycle. N. salmincola is a likely contributor to mortality of juvenile coho salmon (Oncorhynchus kisutch) during the early ocean rearing phase, and it is the most prevalent pathogen of outmigrating steelhead in the estuaries of the Pacific Northwest.
A field survey was implemented from March-June 2014 to compare the prevalence and parasite load of N. salmincola infections in outmigrating steelhead from five Puget Sound watersheds and to assess changes in infection levels that occurred during the smolt out-migration through each watershed. N. salmincola infection prevalence and parasite loads were determined by counting metacercaria in posterior kidney samples. Tissue samples were collected and examined by standard histological methods.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Puget Sound steelhead marine survival: 2013-2015 research findings summary","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Long Live the Kings","publisherLocation":"Seattle, WA","usgsCitation":"Chen, M., Stewart, B., Senkvik, K., and Hershberger, P., 2015, Study 8: Prevalence and load of Nanophyetus salmincola infection in outmigrating steelhead trout from five Puget Sound rivers, chap. of Puget Sound steelhead marine survival: 2013-2015 research findings summary, p. 46-48.","productDescription":"2 p.","startPage":"46","endPage":"48","ipdsId":"IP-066577","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":339570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335929,"type":{"id":15,"text":"Index Page"},"url":"https://marinesurvivalproject.com/resources/"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edbb59e4b0eed1ab8c6f58","contributors":{"authors":[{"text":"Chen, M.F.","contributorId":182025,"corporation":false,"usgs":false,"family":"Chen","given":"M.F.","email":"","affiliations":[],"preferred":false,"id":670272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, B.A.","contributorId":182026,"corporation":false,"usgs":false,"family":"Stewart","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":670273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senkvik, Kevin","contributorId":182027,"corporation":false,"usgs":false,"family":"Senkvik","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":670274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":670271,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189910,"text":"70189910 - 2015 - PhreeqcRM: A reaction module for transport simulators based on the geochemical model PHREEQC","interactions":[],"lastModifiedDate":"2017-08-03T14:32:23","indexId":"70189910","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"PhreeqcRM: A reaction module for transport simulators based on the geochemical model PHREEQC","docAbstract":"PhreeqcRM is a geochemical reaction module designed specifically to perform equilibrium and kinetic reaction calculations for reactive transport simulators that use an operator-splitting approach. The basic function of the reaction module is to take component concentrations from the model cells of the transport simulator, run geochemical reactions, and return updated component concentrations to the transport simulator. If multicomponent diffusion is modeled (e.g., Nernst–Planck equation), then aqueous species concentrations can be used instead of component concentrations. The reaction capabilities are a complete implementation of the reaction capabilities of PHREEQC. In each cell, the reaction module maintains the composition of all of the reactants, which may include minerals, exchangers, surface complexers, gas phases, solid solutions, and user-defined kinetic reactants.
PhreeqcRM assigns initial and boundary conditions for model cells based on standard PHREEQC input definitions (files or strings) of chemical compositions of solutions and reactants. Additional PhreeqcRM capabilities include methods to eliminate reaction calculations for inactive parts of a model domain, transfer concentrations and other model properties, and retrieve selected results. The module demonstrates good scalability for parallel processing by using multiprocessing with MPI (message passing interface) on distributed memory systems, and limited scalability using multithreading with OpenMP on shared memory systems. PhreeqcRM is written in C++, but interfaces allow methods to be called from C or Fortran. By using the PhreeqcRM reaction module, an existing multicomponent transport simulator can be extended to simulate a wide range of geochemical reactions. Results of the implementation of PhreeqcRM as the reaction engine for transport simulators PHAST and FEFLOW are shown by using an analytical solution and the reactive transport benchmark of MoMaS.
Linked atmospheric and wildfire changes will complicate future management of native coldwater fishes in fire-prone landscapes, and new approaches to management that incorporate uncertainty are needed to address this challenge. We used a Bayesian network (BN) approach to evaluate population vulnerability of bull trout (Salvelinus confluentus) in the Wenatchee River basin, Washington, USA, under current and future climate and fire scenarios. The BN was based on modeled estimates of wildfire, water temperature, and physical habitat prior to, and following, simulated fires throughout the basin. We found that bull trout population vulnerability depended on the extent to which climate effects can be at least partially offset by managing factors such as habitat connectivity and fire size. Moreover, our analysis showed that local management can significantly reduce the vulnerability of bull trout to climate change given appropriate management actions. Tools such as our BN that explicitly integrate the linked nature of climate and wildfire, and incorporate uncertainty in both input data and vulnerability estimates, will be vital in effective future management to conserve native coldwater fishes.
Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. This new sensor platform continuously samples surface water at a range of speeds (0 to >45 km h–1) resulting in high-density, mesoscale spatial data. These novel observations reveal previously unknown variability in physical, chemical, and biological factors in streams, rivers, and lakes. By combining multiple sensors into one platform, we were able to detect terrestrial–aquatic hydrologic connections in a small dystrophic lake, to infer the role of main-channel vs backwater nutrient processing in a large river and to detect sharp chemical changes across aquatic ecosystem boundaries in a stream/lake complex. Spatial sensor data were verified in our examples by comparing with standard lab-based measurements of selected variables. Spatial fDOM data showed strong correlation with wet chemistry measurements of DOC, and optical NO3 concentrations were highly correlated with lab-based measurements. High-frequency spatial data similar to our examples could be used to further understand aquatic biogeochemical fluxes, ecological patterns, and ecosystem processes, and will both inform and benefit from fixed-site data.
","language":"English","publisher":"ACS Publications","doi":"10.1021/es504773x","usgsCitation":"Crawford, J.T., Loken, L., Casson, N.J., Smith, C., Stone, A.G., and Winslow, L.A., 2015, High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology: Environmental Science & Technology, v. 49, no. 1, p. 442-450, https://doi.org/10.1021/es504773x.","productDescription":"9 p.","startPage":"442","endPage":"450","ipdsId":"IP-060665","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472436,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504773x","text":"Publisher Index Page"},{"id":335832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Mendota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.40173033599879,\n 43.07347645438287\n ],\n [\n -89.38023693230257,\n 43.078382654645424\n ],\n [\n -89.36176603850066,\n 43.09800352757304\n ],\n [\n -89.36848272715585,\n 43.11614723923495\n ],\n [\n -89.37721442240766,\n 43.115656939360235\n ],\n [\n -89.36411687953026,\n 43.12938385089856\n ],\n [\n -89.37284857478208,\n 43.13575601287684\n ],\n [\n -89.4020661704318,\n 43.1313445868372\n ],\n [\n -89.40508868032673,\n 43.15486851517488\n ],\n [\n -89.41986539536839,\n 43.1507034790599\n ],\n [\n -89.43766462030436,\n 43.148253325220736\n ],\n [\n -89.439343792468,\n 43.130364226724964\n ],\n [\n -89.45479217637498,\n 43.114921482182126\n ],\n [\n -89.4866964474873,\n 43.10707605564116\n ],\n [\n -89.48568894418901,\n 43.08868439660202\n ],\n [\n -89.4645313749251,\n 43.07642022167718\n ],\n [\n -89.43262710381278,\n 43.08917491253359\n ],\n [\n -89.42826125618721,\n 43.07936384756135\n ],\n [\n -89.42053706423373,\n 43.074948355706226\n ],\n [\n -89.40173033599879,\n 43.07347645438287\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-08","publicationStatus":"PW","scienceBaseUri":"58ac0e30e4b0ce4410e7d600","chorus":{"doi":"10.1021/es504773x","url":"http://dx.doi.org/10.1021/es504773x","publisher":"American Chemical Society (ACS)","authors":"Crawford John T., Loken Luke C., Casson Nora J., Smith Colin, Stone Amanda G., Winslow Luke A.","journalName":"Environmental Science & Technology","publicationDate":"1/6/2015","auditedOn":"3/4/2016","publiclyAccessibleDate":"12/8/2014"},"contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":5044,"text":"National Research Program - 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2015 - Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks","interactions":[],"lastModifiedDate":"2017-03-15T15:25:00","indexId":"70182466","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks","docAbstract":"We document changes in forest structure between historical(1930s) and contemporary (2000s) surveys of California vegetation through comparisons of tree abundance and size across the state and within several ecoregions. Across California, tree density in forested regions increased by 30% between the two time periods, whereas forest biomass in the same regions declined, as indicated by a 19% reduction in basal area. These changes reflect a demographic shift in forest structure: larger trees (>61 cm diameter at breast height) have declined, whereas smaller trees ( < 30 cm) have increased. Large tree declines were found in all surveyed regions of California, whereas small tree increases were found in every region except the south and central coast. Large tree declines were more severe in areas experiencing greater increases in climaticwater deficit since the 1930s, based on a hydrologicmodel of water balance for historical climates through the 20th century. Forest composition in California in the last century has also shifted toward increased dominance by oaks relative to pines, a pattern consistent with warming and increased water stress, and also with paleohistoric shifts in vegetation in California over the last 150,000 y.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1410186112","usgsCitation":"McIntyre, P.J., Thorne, J.H., Dolanc, C.R., Flint, A.L., Flint, L.E., Kelly, M., and Ackerly, D.D., 2015, Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks: Proceedings of the National Academy of Sciences, v. 112, no. 5, p. 1458-1463, https://doi.org/10.1073/pnas.1410186112.","productDescription":"6 p.","startPage":"1458","endPage":"1463","ipdsId":"IP-059537","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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