Reversing the ongoing degradation of the planet's ecosystems requires timely and detailed monitoring of ecosystem change and uses. Yet, the System of National Accounts (SNA), first developed in response to the economic crisis of the 1930s and used by statistical offices worldwide to record economic activity (for example, production, consumption, and asset accumulation), does not make explicit either inputs from the environment to the economy or the cost of environmental degradation (1, 2). Experimental Ecosystem Accounting (EEA), part of the System of Environmental-Economic Accounting (SEEA), has been developed to monitor and report on ecosystem change and use, using the same accounting approach, concepts, and classifications as the SNA (3). The EEA is part of the statistical community's response to move SNA measurement “beyond gross domestic product (GDP).” With the first generation of ecosystem accounts now published in 24 countries, and with a push to finalize a United Nations (UN) statistical standard for ecosystem accounting by 2021, we highlight key advances, challenges, and opportunities.
","language":"English","publisher":"AAAS","doi":"10.1126/science.aaz8901","usgsCitation":"Hein, L., Bagstad, K.J., Obst, C., Edens, B., Schenau, S., Castillo, G., Soulard, F., Brown, C., Driver, A., Bordt, M., Steurer, A., Harris, R., and Capparros, A., 2020, Progress in natural capital accounting for ecosystems: Science, v. 6477, no. 367, p. 514-515, https://doi.org/10.1126/science.aaz8901.","productDescription":"2 p.","startPage":"514","endPage":"515","ipdsId":"IP-108491","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6477","issue":"367","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, Lars","contributorId":176849,"corporation":false,"usgs":false,"family":"Hein","given":"Lars","email":"","affiliations":[],"preferred":false,"id":781013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":781012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obst, Carl","contributorId":176851,"corporation":false,"usgs":false,"family":"Obst","given":"Carl","email":"","affiliations":[],"preferred":false,"id":781014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edens, Bram","contributorId":176850,"corporation":false,"usgs":false,"family":"Edens","given":"Bram","email":"","affiliations":[],"preferred":false,"id":781015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenau, Sjoerd","contributorId":222041,"corporation":false,"usgs":false,"family":"Schenau","given":"Sjoerd","email":"","affiliations":[{"id":27734,"text":"Statistics Netherlands","active":true,"usgs":false}],"preferred":false,"id":781016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castillo, Gem","contributorId":222042,"corporation":false,"usgs":false,"family":"Castillo","given":"Gem","email":"","affiliations":[{"id":40481,"text":"Resources, Environment and Economics Center for Studies, Philippines","active":true,"usgs":false}],"preferred":false,"id":781017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Soulard, Francois","contributorId":211874,"corporation":false,"usgs":false,"family":"Soulard","given":"Francois","email":"","affiliations":[{"id":38339,"text":"Statistics Canada","active":true,"usgs":false}],"preferred":false,"id":781018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Claire","contributorId":222043,"corporation":false,"usgs":false,"family":"Brown","given":"Claire","email":"","affiliations":[{"id":40482,"text":"UNEP-World Conservation Monitoring Centre","active":true,"usgs":false}],"preferred":false,"id":781019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driver, Amanda","contributorId":222044,"corporation":false,"usgs":false,"family":"Driver","given":"Amanda","email":"","affiliations":[{"id":40483,"text":"South African National Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":781020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bordt, Michael 0000-0001-5634-2294","orcid":"https://orcid.org/0000-0001-5634-2294","contributorId":222045,"corporation":false,"usgs":false,"family":"Bordt","given":"Michael","email":"","affiliations":[{"id":40484,"text":"UN Economic and Social Commission for Asia and the Pacific","active":true,"usgs":false}],"preferred":false,"id":781021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Steurer, Anton","contributorId":222046,"corporation":false,"usgs":false,"family":"Steurer","given":"Anton","email":"","affiliations":[{"id":40485,"text":"Statistical Office of the European Union","active":true,"usgs":false}],"preferred":false,"id":781022,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harris, Rocky","contributorId":222065,"corporation":false,"usgs":false,"family":"Harris","given":"Rocky","email":"","affiliations":[],"preferred":false,"id":781094,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Capparros, Alejandro","contributorId":222047,"corporation":false,"usgs":false,"family":"Capparros","given":"Alejandro","email":"","affiliations":[{"id":34335,"text":"Spanish National Research Council","active":true,"usgs":false}],"preferred":false,"id":781023,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70208466,"text":"70208466 - 2020 - Expert bioblitzes facilitate non-native fish tracking and interagency partnerships","interactions":[],"lastModifiedDate":"2020-03-11T15:32:23","indexId":"70208466","displayToPublicDate":"2020-01-31T09:40:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Expert bioblitzes facilitate non-native fish tracking and interagency partnerships","docAbstract":"Documenting the distribution and composition of non-native species populations can be challenging, especially when species cross jurisdictional boundaries that require interagency coordination. Herein I report the development of three tools that have been used in Florida over the past seven years to assist with tracking of non-native fishes: 1) an overarching organization to increase coordination and communication amongst stakeholders (Florida Non-Native Fish Action Alliance); 2) regularly-scheduled expert bioblitzes (Fish Slams); and 3) symposia (Fish Chats). Ten Fish Slams were held since 2012, which have included nearly 100 individuals from 20 organizations. Participants have sampled nearly 200 unique sites, capturing 36 non-native fish taxa. These activities have generated over 600 records for the U.S. Geological Survey’s Nonindigenous Aquatic Species database. Many specimens collected during Fish Slams are deposited into natural history museums or used by researchers. Informal interactions amongst colleagues working together in the field, at check-in meetings at the end of the day, and during more structured Fish Chat symposia allow members of various organizations to become acquainted, build trust, and share information and technology, which may then lead to professional collaborations. While this program is focused on non-native fish species in south Florida, I also discuss how the expert bioblitz may be adapted to suit other taxonomic groups and a variety of conservation needs.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2020.11.1.10","usgsCitation":"Schofield, P.J., 2020, Expert bioblitzes facilitate non-native fish tracking and interagency partnerships: Management of Biological Invasions, v. 11, no. 1, p. 139-154, https://doi.org/10.3391/mbi.2020.11.1.10.","productDescription":"16 p.","startPage":"139","endPage":"154","ipdsId":"IP-109058","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2020.11.1.10","text":"Publisher Index Page"},{"id":372225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.7822265625,\n 25.08062377244484\n ],\n [\n -80.013427734375,\n 25.08062377244484\n ],\n [\n -80.013427734375,\n 26.59343927024179\n ],\n [\n -81.7822265625,\n 26.59343927024179\n ],\n [\n -81.7822265625,\n 25.08062377244484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":782015,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208591,"text":"70208591 - 2020 - Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems","interactions":[],"lastModifiedDate":"2020-02-20T09:12:46","indexId":"70208591","displayToPublicDate":"2020-01-31T09:12:37","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems","docAbstract":"Scanning electron microscopy (SEM) has revolutionized our understanding of shale petroleum systems through microstructural characterization of dispersed organic matter (OM). However, due to the low atomic weight of carbon, all OM appears black in SEM (BSE image) regardless of differences in thermal maturity or OM type (kerogen types or solid bitumen). Traditional petrographic identification of OM uses optical microscopy, where reflectance (%Ro), form, relief and fluorescence can be used to discern OM types and thermal maturation stage. Unfortunately, most SEM studies of shale OM do not employ correlative optical techniques, leading to misidentifications or to the conclusion that all OM (i.e., kerogen and solid bitumen) is the same. To improve the accuracy of SEM identifications of dispersed OM in shale, this study used correlative light and electron microscopy (CLEM) to create optical and SEM images of OM in the same fields of view (500x magnification) under white light, blue light, secondary electron, and backscatter electron conditions. Samples (n=8) of varying thermal maturities and typical of the North American shale petroleum systems were used, including the Green River Mahogany Zone, Bakken Formation, Ohio Shale, Eagle Ford Formation, Barnett Formation, Haynesville Formation and Woodford Shale. The CLEM image sets demonstrate the importance of correlative microscopy by showing how easily OM can be misidentified when viewed by SEM alone. Without CLEM techniques, petrographic data from SEM such as observations of organic nano-porosity may be misinterpreted, resulting in false or ambiguous results and impairing an improved understanding of organic diagenesis and catagenesis.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mudstone diagenesis: Research perspectives for shale hydrocarbon reservoirs, seals, and source rocks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","isbn":"9180891814252","usgsCitation":"Valentine, B.J., and Hackley, P.C., 2020, Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems, chap. 1 of Mudstone diagenesis: Research perspectives for shale hydrocarbon reservoirs, seals, and source rocks, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-093317","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372421,"type":{"id":15,"text":"Index Page"},"url":"https://store.aapg.org/detail.aspx?id=1310"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":782638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":782677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226997,"text":"70226997 - 2020 - Ecosystem-specific growth responses to climate pattern by a temperate freshwater fish","interactions":[],"lastModifiedDate":"2021-12-27T14:45:19.675432","indexId":"70226997","displayToPublicDate":"2020-01-31T08:42:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem-specific growth responses to climate pattern by a temperate freshwater fish","docAbstract":"Somatic growth patterns among animal populations are maintained through complex processes that vary among ecosystems. Changes in growth patterns may be concomitant with changes in climate; however, understanding how growth will manifest among ecosystems is limited. Information embedded within fish hard-parts (i.e., otoliths, spines, vertebrae) can account for variation in growth patterns resulting from changing climate conditions. Channel catfish Ictalurus punctatus is a freshwater fish species widely distributed across North America with limited information regarding climate influences on growth and differences in climate-growth relations among ecological systems. We assessed growth (total length) response to changing climate conditions for channel catfish among three waterbody types—pit lakes, irrigation and power-generation reservoirs, and flood-control reservoirs in Nebraska, USA. We used linear mixed-effect models and an information theoretic approach to assess the relative strengths among competing hypotheses. The most supported linear mixed-effect model of channel catfish growth was a function of fish age and an interaction between waterbody type and growing-degree-day (GDD). A positive trend existed in GDD from 1990 through 2008 whereby the predicted increase in GDD among waterbody types ranged from 182 GDD to 189 GDD. The predicted change in channel catfish growth resulting from increased GDD ranged from 1% to 39% among waterbody types. Channel catfish population rate functions, thus, may not respond similarly to climate conditions across ecosystem types. Changes in climate variables may contribute to system-specific responses in population dynamics for channel catfish as well as other similar freshwater species. The establishment of relations between climate and growth variables for a freshwater generalist with a plastic diet and broad temperature tolerance serves as an indication of the breadth of responses possible for freshwater fishes under global changes in climate conditions.
We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL—the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model for seasonal to decadal time scales, including the ability to run large ensembles of simulations with available computational resources. For computational speed SPEAR uses a coarse ocean resolution of approximately 1.0° (with tropical refinement). SPEAR can use differing atmospheric horizontal resolutions ranging from 1° to 0.25°. The higher atmospheric resolution facilitates improved simulation of regional climate and extremes. SPEAR is built from the same components as the GFDL CM4 and ESM4 models but with design choices geared toward seasonal to multidecadal physical climate prediction and projection. We document simulation characteristics for the time mean climate, aspects of internal variability, and the response to both idealized and realistic radiative forcing change. We describe in greater detail one focus of the model development process that was motivated by the importance of the Southern Ocean to the global climate system. We present sensitivity tests that document the influence of the Antarctic surface heat budget on Southern Ocean ventilation and deep global ocean circulation. These findings were also useful in the development processes for the GFDL CM4 and ESM4 models.
A prototype system to explore Linked Data that semantically integrates geospatial data in various formats from different publication sources with data from The National Map of the U.S. Geological Survey is presented. The focus is on accessing advanced feature descriptions for data from The National Map with data coreferenced from other sources. The prototype uses Geoserver to access The National Map data, which are converted to Resource Description Framework triples using Karma and stored in the Marmotta triplestore. Marmotta uses a Postgres relational database as a backend for the project and queries to the Marmotta triplestore are converted to structured query language and executed by Postgres. Triples retrieved are linked with same_as relationships to external data sources. The links to these sources provide additional attributes and relationships of the data from The National Map. Visualization of the results is provided using Leaflet and workflows for all parts of the system are defined. A use case for the system is provided to access structures and names information from The National Map for the Washington, D.C., area and link these to Geonames data, with visualization of the graphical and tabular results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195148","usgsCitation":"Wagner, M., Varanka, D.E., and Usery, E.L., 2020, A system design for implementing advanced feature descriptions for a map knowledge base: U.S. Geological Survey Scientific Investigations Report 2019–5148, 25 p., https://doi.org/10.3133/sir20195148. ","productDescription":"viii, 25 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-111001","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371735,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5148/coverthb.jpg"},{"id":371736,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5148/sir20195148.pdf","text":"Report","size":"3.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5148"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Estimating the number of breeding pairs in a mixed-species waterbird colony is difficult because colonial waterbirds are vulnerable to human intrusion and their colonies are often in remote areas with limited access. We investigated methods to estimate the number of nests of waterbirds at a large, mixed-species colony at Chase Lake National Wildlife Refuge in south-central North Dakota. The primary goals of this study were to evaluate survey methods for shrub- and ground-nesting colonial waterbirds at Chase Lake National Wildlife Refuge and to develop protocols for estimating abundance of the different species. The specific objectives were (1) to assess visible-nest counts for ciconiiform species from the perimeter of nesting areas (hereafter, perimeter counts) and observational surveys from fixed points outside the colony to count flights of adult ciconiiforms in and out of the colony (hereafter, flightline surveys) as alternatives to within-colony counts of ciconiiform nests, and (2) to assess semiautomated, pixel-based image-analysis techniques to estimate abundance of American White Pelicans (Pelecanus erythrorhynchos) as an alternative to traditional manual counts from aerial photographs.
For shrub-nesting ciconiiform species, observers counted 2,259 and 1,759 active ciconiiform nests in 2012 and 2013, respectively, during within-colony counts of ciconiiform nests. Results from within-colony counts of ciconiiform nests indicated a positive relation between the number of nests and the area of the shrub subcolony for the three most common ciconiiform species and all ciconiiform species combined. The perimeter nest counts of ciconiiform nests at Chase Lake represented only 18.8 percent of the total active ciconiiform nests counted in 11 subcolonies in 2012, which was well below the recommended target of 50 percent. Although we found a positive relationship between the number of nests counted during perimeter counts and the number of nests counted during within-colony counts for the three most common ciconiiform species and all ciconiiform species combined, perimeter counts at Chase Lake were hampered by disturbance to nesting birds. Thus, we discontinued the perimeter counts before they were completed. We did not develop predictive models from these perimeter counts in 2012 because these models could be misleading due to inconsistent application of the survey methods, which likely would have provided inaccurate perimeter counts. The extent of this issue is unknown. Flightline surveys at Chase Lake documented patterns of ciconiiform activity that were unknown for this region. For the common ciconiiform species, the number of flights to and from the South Island at Chase Lake were greatest in the morning (7:00−12:00 central daylight time [CDT]) and least in the afternoon (12:00−17:00), and least early in the breeding season (May 29–June 20, 2013) and greatest later in the breeding season (June 24–August 1, 2013). Flightline surveys are an index but lacked comparability with within-colony nest counts because the two methods provide measures of different things (that is, adult activity away from the colony as compared to the number of nests within the colony). The overall proportions of flights generally reflected the proportions of the within-colony nest counts for the four most common species: Black-crowned Night-Heron (Nycticorax nycticorax), Cattle Egret (Bubulcus ibis), Great Egret (Ardea alba), and Snowy Egret (Egretta thula). Flightline surveys at Chase Lake indicated apparent variation related to the time of day and season, as well as a variation in detection of inbound and outbound adult ciconiiforms. For ciconiiforms at Chase Lake, the most appropriate combination of survey approaches will depend on the need for annual estimates of nest abundance of ciconiiform species, balanced with the financial, personnel, and logistical constraints associated with the survey methods.
For ground-nesting American White Pelicans, the results from this study indicated that digital-image processing using remote-sensing software provides an accurate estimate of the number of American White Pelican nests. Estimates of the number of pelican nests from digital-image processing, using two commercially available remote-sensing software packages, produced nest estimates that were comparable to those of traditional manual counts from aerial photographs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201008","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Igl, L.D., Bartos, A.J., Woodward, R.O., Scherr, P., and Sovada, M.A, 2020, Evaluation of survey methods for colonial waterbirds at Chase Lake National Wildlife Refuge, North Dakota: U.S. Geological Survey Open-File Report 2020–1008, 44 p., https://doi.org/10.3133/ofr20201008. ","productDescription":"Report: viii, 44 p.; Data Release","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-112516","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371775,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1008/ofr20201008.pdf","text":"Report","size":"7.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1008"},{"id":371774,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1008/coverthb.jpg"},{"id":371776,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90NK31K","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Evaluation of Survey Methods for Colonial Waterbirds at Chase Lake National Wildlife Refuge, North Dakota, data release"}],"country":"United States","state":"North Dakota ","otherGeospatial":"Chase Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.481105,46.983794 ], [ -99.481105,47.030693 ], [ -99.417191,47.030693 ], [ -99.417191,46.983794 ], [ -99.481105,46.983794 ] ] ] } } ] }","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401
Since the 1990s, increased chloride concentrations of water pumped from wells (much of which is used for drinking water) and the effects of withdrawals on groundwater-dependent ecosystems have led to concerns over groundwater availability on the island of Molokaʻi, Hawaiʻi. An improved understanding of the hydrologic effects of proposed groundwater withdrawals is needed to ensure effective management of the groundwater resources of Molokaʻi, plan for possible growth, and accommodate cultural, social, and economic concerns. To address the information needs of managers and community stakeholders on Molokaʻi, the U.S. Geological Survey developed a numerical groundwater model capable of simulating salinity change and reduction in groundwater discharge in coastal areas of central and southern Molokaʻi. Estimates of groundwater recharge needed as input to the numerical groundwater model were made using a daily water budget for each decade during 1940−2012 (the period 2000−12 spanned 13 years) and the most current available data, including the distributions of monthly rainfall and potential evapotranspiration. Total island recharge during the decadal periods ranged from a low of about 189 Mgal/d during the 1970s to a high of 278 Mgal/d during the 1960s. These recharge estimates were used to develop an island-wide numerical groundwater model with simplifying assumptions (sharp interface between freshwater and saltwater; two-dimensional flow). The island-wide model provided estimates of groundwater inflows to the main area of interest simulated with a three-dimensional numerical groundwater model. Simulated withdrawal scenarios were selected in consultation with water managers and stakeholders and consisted of: (1) a baseline scenario using average recharge (1978−2007 rainfall and 2010 land cover) and average 2016−17 withdrawals; (2) a scenario using average recharge and withdrawals from existing wells at pending (as of January 2019) water-use permit rates; (3) six scenarios using average recharge and selected withdrawals from existing and proposed wells; and (4) a scenario using reduced recharge and selected withdrawals from existing and proposed wells. Results of the simulated withdrawal scenarios indicate that wells may be capable of producing groundwater with chloride concentrations below 250 mg/L at withdrawal rates exceeding average 2016−17 rates. However, the quality of water withdrawn from production wells is dependent on the rate and distribution of the withdrawals. For all nonbaseline scenarios, simulated groundwater discharge to the nearshore environment is reduced relative to the baseline scenario. Areas of discharge reduction may correspond to areas used for cultural or subsistence purposes. The three-dimensional numerical groundwater model developed for this study utilizes the latest available hydrologic and geologic information and is a useful tool for understanding the hydrologic effects of additional groundwater withdrawals in central Molokaʻi. The model has several limitations, including its nonuniqueness and inability to account for local-scale heterogeneities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195150","collaboration":"Prepared in cooperation with the State of Hawai‘i Department of Hawaiian Home Lands, State of Hawai‘i Office of Hawaiian Affairs, and County of Maui Department of Water Supply","usgsCitation":"Oki, D.S., Engott, J.A., and Rotzoll, K., 2020, Numerical simulation of groundwater availability in central Moloka‘i, Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2019–5150, 95 p., https://doi.org/10.3133/sir20195150.","productDescription":"Report: ix, 95 p.; Data Release","numberOfPages":"95","onlineOnly":"Y","ipdsId":"IP-032683","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":399622,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109628.htm"},{"id":371721,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HRQASS","linkHelpText":"Central Molokaʻi, Hawaiʻi, SUTRA model"},{"id":371719,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5150/coverthb.jpg"},{"id":371720,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5150/sir20195150.pdf","text":"Report","size":"40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5150"}],"country":"United States","state":"Hawaii","otherGeospatial":"Moloka‘i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.77352905273438,\n 21.179289725795993\n ],\n [\n -156.8572998046875,\n 21.163922551671376\n ],\n [\n -156.92184448242188,\n 21.167764494849468\n ],\n [\n -156.97265625,\n 21.211299542246586\n ],\n [\n -156.99737548828125,\n 21.189533621502626\n ],\n [\n -157.1429443359375,\n 21.199776807250093\n ],\n [\n -157.21298217773435,\n 21.220261047755002\n ],\n [\n -157.25830078125,\n 21.218980865996457\n ],\n [\n -157.25555419921875,\n 21.17672864097083\n ],\n [\n -157.2967529296875,\n 21.14599216495789\n ],\n [\n -157.30499267578125,\n 21.097313035028538\n ],\n [\n -157.18826293945312,\n 21.090906697412837\n ],\n [\n -157.08801269531247,\n 21.103719096296263\n ],\n [\n -157.03582763671875,\n 21.090906697412837\n ],\n [\n -156.90811157226562,\n 21.051181240269393\n ],\n [\n -156.84906005859375,\n 21.047336278183312\n ],\n [\n -156.77215576171875,\n 21.08450008351735\n ],\n [\n -156.70074462890625,\n 21.15879980561845\n ],\n [\n -156.77352905273438,\n 21.179289725795993\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
Stream fishes are vulnerable to a variety of natural and anthropogenic stressors. Information on fish movements and habitat use is essential to conserve and manage populations, particularly at the edges of distributions and novel habitats. The Neosho Smallmouth Bass Micropterus dolomieu velox is endemic to the southwestern Ozark Highlands ecoregion, where the riverscape is highly dissected by impoundments. Our study objectives were to determine the pre-spawn, spawn, and post-spawn movements of adult, radio-tagged Neosho Smallmouth Bass, and identify the habitat factors at multiple spatial scales related to suitable spawning habitat. Movements by tagged fish in the Elk River of Oklahoma and Missouri and two Oklahoma tributaries draining to lower Elk River and Grand Lake O’ the Cherokee were greatest during the spring spawning period and were positively related to discharge and fish size; however, we observed considerable individual and stream-specific variability. Temperature and fish movement rate in the Elk River were positively related in all seasons except for winter, although temperature was less important for Smallmouth Bass movement in the smaller streams. Tagged fish were never detected using active or passive telemetry in the reservoir or reservoir-river interface except during periods of lotic character (i.e., the reservoir was not pooled above the Buffalo Creek-Elk River confluence). Nests were typically located at intermediate depths (mean = 0.8 m; SD = 0.3) and in low velocity habitats (0.0–0.2 m/s). Most of the nests examined comprised gravel substrates; however, 2.5% of the nests observed were located on full or partial bedrock substrate. We also documented nest clustering behavior by Neosho Smallmouth Bass (i.e., adjacent nests within 2 m of each other); 66 nest clusters were identified across 22 stream reaches. Cluster presence was more prevalent in warmer stream reaches with wide, shallow channels, and less likely in groundwater-gaining reaches, whereas overall nest abundance was greater in warmer streams and reaches with deeper pools. We showed the importance of both warmer streams and deep pools of small streams for Smallmouth Bass rearing (i.e., young-of-year abundance). We found negative relationships between floods and first-year juvenile survival and show the importance of stream network position (i.e., adjacency to larger streams) for mitigating the negative effects of July floods. Our analyses of both nesting and young-of-year habitat use suggest small streams, typically not considered important to many fisheries, are responsible for a proportion of Neosho Smallmouth Bass production. Further, consideration of management actions restricting take during the early spawning season may be warranted due to the unique nesting behavior (i.e., clustering) exhibited by this subspecies.
","language":"English","doi":"10.3996/css43006037","usgsCitation":"Brewer, S., and Miller, A., 2020, Assessing the spawning movement and habitat needs of riverine Neosho Smallmouth Bass: Cooperator Science Series CSS-145-2020, ii, 92 p., https://doi.org/10.3996/css43006037.","productDescription":"ii, 92 p.","ipdsId":"IP-115685","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.13406967809759,\n 37.10685857731461\n ],\n [\n -95.13406967809759,\n 36.131017076016235\n ],\n [\n -94.4372095028383,\n 36.131017076016235\n ],\n [\n -94.4372095028383,\n 37.10685857731461\n ],\n [\n -95.13406967809759,\n 37.10685857731461\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Andrew","contributorId":196361,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","affiliations":[],"preferred":false,"id":946842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227149,"text":"70227149 - 2020 - Targeting aggregations of telemetered Lake Trout to increase gillnetting suppression efficacy","interactions":[],"lastModifiedDate":"2022-01-03T16:05:35.686916","indexId":"70227149","displayToPublicDate":"2020-01-30T08:40:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Targeting aggregations of telemetered Lake Trout to increase gillnetting suppression efficacy","docAbstract":"Conserving Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri by suppressing invasive Lake Trout Salvelinus namaycush in Yellowstone Lake is a high priority for Yellowstone National Park resource managers. Here, we tested whether targeting telemetered Lake Trout could increase the efficacy of Lake Trout suppression by gill netting. Mobile acoustic tracking surveys were performed to identify aggregations of tagged Lake Trout in summer (June–August) 2017. Lake Trout aggregations were relayed daily to suppression crews by phone, radio, or text and a printed map. Suppression crews set 30 large-mesh gill nets targeting telemetered Lake Trout aggregations (target treatment) and 124 large-mesh gill nets not targeting telemetered aggregations (nontarget treatment). Mean loge(CPUE) was higher for the target treatment (0.37; 95% credible interval [CRI] = 0.08–0.65) than for the nontarget treatment (−0.37; 95% CRI = −0.51 to −0.21). Mean of the target treatment was higher than the mean of the nontarget treatment for over 99% of the 1,000 draws from the joint posterior distribution. Because of telemetry costs, mean CPUE per US$10,000 spent was similar between the target treatment (0.20; 95% CRI = 0.15–0.26) and the nontarget treatment (0.15; 95% CRI = 0.13–0.17). Telemetry is an effective strategy for improving Lake Trout CPUE, which corresponds to an increased efficiency in the Lake Trout suppression program.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10401","usgsCitation":"Williams, J.R., Guy, C.S., Koel, T., and Bigelow, P.E., 2020, Targeting aggregations of telemetered Lake Trout to increase gillnetting suppression efficacy: North American Journal of Fisheries Management, v. 40, no. 1, p. 225-231, https://doi.org/10.1002/nafm.10401.","productDescription":"7 p.","startPage":"225","endPage":"231","ipdsId":"IP-107663","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":457948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10401","text":"Publisher Index Page"},{"id":393735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.58357238769531,\n 44.28502826057224\n ],\n [\n -110.58357238769531,\n 44.57188260255312\n ],\n [\n -110.19630432128906,\n 44.57188260255312\n ],\n [\n -110.19630432128906,\n 44.28502826057224\n ],\n [\n -110.58357238769531,\n 44.28502826057224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jacob R.","contributorId":270708,"corporation":false,"usgs":false,"family":"Williams","given":"Jacob","email":"","middleInitial":"R.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":829899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":829799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koel, Todd M.","contributorId":270709,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bigelow, Patricia E.","contributorId":181861,"corporation":false,"usgs":false,"family":"Bigelow","given":"Patricia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":829901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209826,"text":"70209826 - 2020 - Climate relationships with increasing wildfire in the southwestern US from 1984 to 2015","interactions":[],"lastModifiedDate":"2020-04-30T12:22:10.730349","indexId":"70209826","displayToPublicDate":"2020-01-30T07:17:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Climate relationships with increasing wildfire in the southwestern US from 1984 to 2015","docAbstract":"Over the last several decades in forest and woodland ecosystems of the southwestern United States, wildfire size and severity have increased, thereby increasing the vulnerability of these systems to type conversions, invasive species, and other disturbances. A combination of land use history and climate change is widely thought to be contributing to the changing fire regimes. We examined climate-fire relationships in forest and woodland ecosystems from 1984 – 2015 in Arizona and New Mexico using 1) an expanded satellite-derived burn severity dataset that incorporates over one million additional burned hectares when compared to MTBS data, and 2) climate variables including temperature, precipitation, and vapor pressure deficit (VPD). Regional climate-fire relationships were assessed by correlating annual area burned, area burned at high and low severity, and percent high severity with fire season (May-August) and water-year (October-September) climate variables. We also analyzed relationships between climate and high-severity fire at the scale of the individual fires using a hurdle model. We found that increasing temperature and VPD and decreasing precipitation were associated with increasing area burned regionally, and that area burned at high severity had the strongest relationships with climate metrics. The relationship between climate and fire activity in the Southwest appears to be strengthening since 2000. VPD-fire correlations were consistently as strong as, or stronger than, temperature or precipitation variables alone, both regionally and at the scale of the individual fires. Notably, at the scale of the individual fires, temperature and precipitation were not significant predictors of fire activity. Thus, our results support the use of VPD as a more integrative climate metric to forecast fire activity. We suggest that the strong relationship between VPD and fire activity may be useful to assess the likelihood of high-severity fire occurrence through continued development of the high-severity fire threshold model we present. The link between increasing aridity and increasing wildfire activity suggests a future with more fire in Southwest forests and woodlands with projected warming, underscoring the urgency of restoration in dry forests to reduce the likelihood of uncharacteristic, large high-severity fires.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.117861","collaboration":"","usgsCitation":"Mueller, S., Thode, A.E., Margolis, E.Q., Yocom, L., Young, J.M., and Iniguez, J.M., 2020, Climate relationships with increasing wildfire in the southwestern US from 1984 to 2015: Forest Ecology and Management, v. 460, no. , https://doi.org/10.1016/j.foreco.2019.117861.","productDescription":"117861, 14 p.","startPage":"","ipdsId":"IP-109702","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Service","active":true,"usgs":false}],"preferred":false,"id":788192,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208207,"text":"70208207 - 2020 - Multi-region assessment of pharmaceutical exposures and predicted effects in USA wadeable urban-gradient streams","interactions":[],"lastModifiedDate":"2020-02-19T14:30:57","indexId":"70208207","displayToPublicDate":"2020-01-30T07:01:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2978,"text":"PLoS","active":true,"publicationSubtype":{"id":10}},"title":"Multi-region assessment of pharmaceutical exposures and predicted effects in USA wadeable urban-gradient streams","docAbstract":"Human-use pharmaceuticals in urban streams link aquatic-ecosystem health to human health. Pharmaceutical mixtures have been widely reported in larger streams due to historical emphasis on wastewater-treatment plant (WWTP) sources, with limited investigation of pharmaceutical exposures and potential effects in smaller headwater streams. In 2014–2017, the United States Geological Survey measured 111 pharmaceutical compounds in 308 headwater streams (261 urban-gradient sites sampled 3–5 times, 47 putative low-impact sites sampled once) in 4 regions across the US. Simultaneous exposures to multiple pharmaceutical compounds (pharmaceutical mixtures) were observed in 91% of streams (248 urban-gradient, 32 low-impact), with 88 analytes detected across all sites and cumulative maximum concentrations up to 36,142 ng/L per site. Cumulative detections and concentrations correlated to urban land use and presence/absence of permitted WWTP discharges, but pharmaceutical mixtures also were common in the 75% of sampled streams without WWTP. Cumulative exposure-activity ratios (EAR) indicated widespread transient exposures with high probability of molecular effects to vertebrates. Considering the potential individual and interactive effects of the detected pharmaceuticals and the recognized analytical underestimation of the pharmaceutical-contaminant (unassessed parent compounds, metabolites, degradates) space, these results demonstrate a nation-wide environmental concern and the need for watershed-scale mitigation of in-stream pharmaceutical contamination.","language":"English","publisher":"PLoS ","doi":"10.1371/journal.pone.0228214","usgsCitation":"Bradley, P., Journey, C., Button, D.T., Carlisle, D.M., Huffman, B.J., Qi, S.L., Romanok, K., and Van Metre, P.C., 2020, Multi-region assessment of pharmaceutical exposures and predicted effects in USA wadeable urban-gradient streams: PLoS, v. 1, no. 15, p. 1-25, https://doi.org/10.1371/journal.pone.0228214.","productDescription":"e0228214, 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-108109","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":470,"text":"New Jersey 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Data on seasonal sediment loads from tributary streams, and nutrient loads from surrounding streams and groundwater aquifers, were needed to document the causes of this deterioration, the local and regional effectiveness of environmental programs, and to assure compliance with California and Nevada water-quality management programs.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Naranjo, R.C., 2020, Lake Tahoe water monitoring and research activities, 2 p.","productDescription":"2 p.","ipdsId":"IP-144915","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":412440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412426,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/lake-tahoe-water-monitoring-and-research-activities"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.22123496089444,\n 39.319129633023636\n ],\n [\n -120.22123496089444,\n 38.856528354996556\n ],\n [\n -119.83809152557708,\n 38.856528354996556\n ],\n [\n -119.83809152557708,\n 39.319129633023636\n ],\n [\n -120.22123496089444,\n 39.319129633023636\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862724,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228631,"text":"70228631 - 2020 - Upper plate heterogeneity along the Southern Hikurangi Margin, New Zealand","interactions":[],"lastModifiedDate":"2022-02-15T12:50:52.660668","indexId":"70228631","displayToPublicDate":"2020-01-30T06:45:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Upper plate heterogeneity along the Southern Hikurangi Margin, New Zealand","docAbstract":"Controlled and natural source seismic data are used to build a 3-D P wave model for southern North Island, New Zealand, where the Pacific Plate subducts beneath the Australian Plate at a rate of ~41 mm/year. 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The Black Acara, Cichlasoma bimaculatum (Linnaeus, 1758), was first reported as introduced to Florida in 1965. Native to Venezuela, Guyana, Suriname, western French Guiana, and northern Brazil, the species is now distributed throughout Florida’s southern peninsula. Examination of live and preserved acara from Central Florida, heretofore identified as Black Acara, reveal the presence of an additional acara species, the Chanchita, Cichlasoma dimerus (Heckel, 1840). The Chanchita is native to Bolivia, Paraguay, Uruguay, southern Brazil, and northeastern Argentina. Despite similarities, Black Acara and Chanchita can be distinguished by number of anal-fin spines, body and fin color, caudal-fin pattern, and head, nape, and upper-flank scale-rim pigment. The Chanchita is established in multiple Central Florida drainages with the earliest known record from July 27, 2000. The Chanchita has not been found to co-occur with the Black Acara. The presence of Chanchita in more than one Central Florida spring and the widespread distribution of this previously unreported introduced species may be of concern to natural resource managers.
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