Within governance agencies, academia, and communities alike, there are increasing calls to recognize the value and importance of culture within social-ecological systems and to better implement Indigenous sciences in research, policy, and management. Efforts thus far have raised questions about the best ethical practices to do so. Engaging with plural worldviews and perspectives on their own terms reflects cultural evolutionary processes driving paradigm shifts in 3 fundamental areas of natural resource management: conceptualizations of natural resources and ecosystems, processes of public participation and governance, and relationships with Indigenous Peoples and communities with differing worldviews. We broadly describe evolution toward these paradigm shifts in fish and wildlife management. We then use 3 case studies to illustrate the ongoing cultural evolution of relationships between wildlife management and Indigenous practices within specific historical and social-ecological contexts and reflect on common barriers to appropriately engaging with Indigenous paradigms and lifeways. Our case studies highlight 3 priorities that can assist the field of wildlife management in achieving the changes necessary to bridge incommensurable worldviews: acknowledging and reconciling historical legacies and their continued power dynamics as part of social-ecological systems, establishing governance arrangements that move beyond attempts to extract cultural information from communities to integrate Indigenous Knowledges into dominant management paradigms, and engaging in critical reflexivity and reciprocal, accountable relationship building. Implementing these changes will take time and a commitment to processes that may initially feel uncomfortable and unfamiliar but have potential to be transformative. Ethical and culturally appropriate methods to include plural and multivocal perspectives and worldviews on their own terms are needed to transform wildlife management to achieve more effective and just management outcomes for all.
Nutrient (nitrogen [N] and phosphorus [P] chemistry) downgradient from onsite wastewater treatment system (OWTS) was evaluated with a groundwater study in the area surrounding Elizabeth Lake, the largest of three sag lakes within the Santa Clara River watershed of Los Angeles County, California.
Elizabeth Lake is listed on the “303 (d) Impaired Waters List” for excess nutrients and is downgradient from more than 600 OWTS. The primary objective of this study was to develop a conceptual hydrogeological model to determine if discharge from OWTS is transported into shallow groundwater within the Elizabeth Lake subwatershed and contributes nutrients to Elizabeth Lake in excess of the total maximum daily load limit. An analysis of historical data and data collected for this study provided estimates of aquifer properties, such as hydraulic gradients and other parameters necessary to estimate boundary conditions. Electrical resistivity tomography (ERT) surveys were done to determine the best monitoring well locations and to estimate depth to groundwater. During 4 separate sampling events, 11 wells, 2 imported water tanks, 1 spring (sampled on March 17, 2019), and Elizabeth Lake were sampled, which occurred during February–September 2020.
ERT transects and borehole geophysical measurements indicated that there were low to high resistivity materials in the subsurface and potential perched fresh water. Most of the aquifer material was characterized as sandy silt, occasionally with mixed clays and medium gravels, and was estimated to have a hydraulic conductivity from 3.28x10−3 to 16.4 feet per day, a porosity from 0.34 to 0.42, and a hydraulic gradient from 0.01 to 0.03. Although bedrock was not obvious in ERT transects, all well depths were terminated at depths of an impassible confining layer observed to be a highly consolidated blue-gray clay. Depths to granitic bedrock, based on road outcrops and lithologic driller logs, varied throughout the study area. Depth to the bedrock was estimated to be shallow on the north side of Elizabeth Lake at approximately 30 feet below land surface (ft bls). Depth to bedrock is at 50 ft bls toward the east of the Elizabeth Lake subwatershed, which is at topographic ground surface to the north and south of the residential development. Groundwater levels ranged from approximately 0 to 12 ft bls during this study. Historical water levels ranged from 8 to 16 ft bls in the lower elevation of the study area and increased to depths of as much as 80 ft bls at higher elevations on the north and south boundaries of the Elizabeth Lake subwatershed.
Water-quality samples were analyzed for major ions, nutrients, dissolved organic carbon, stable isotopes, and age-dating tracers. A principal component analysis was completed to determine organic matter sources. The proportion of recharge from imported waters, used for domestic consumption, was calculated using stable water isotopes, deuterium (δD) and oxygen (δ18O). Recharge from imported waters accounted for approximately 15–71 percent of the total recharge to groundwater within the study area. Total nitrogen concentrations ranged from 0.17 to 30.9 milligrams per liter (mg/L) as N, and phosphorus, measured in the soluble form as orthophosphate, ranged from 0.03 to 0.35 mg/L as P. Nitrate concentrations in groundwater samples ranged from less than the detection limit (0.01 mg/L as N) to approximately 24 mg/L as N. Nitrate was not detected in 3 of the 12 sites sampled during the study (2 wells and Elizabeth Lake). Dissolved organic carbon concentrations ranged from 0.4 to 27 mg/L in groundwater and from 9.9 to 100 mg/L in Elizabeth Lake. Ammonium and orthophosphate concentrations generally were low in groundwater. However, elevated concentrations of ammonium in Elizabeth Lake were assumed to be due to avian waste products or biological nitrogen fixation. Groundwater ages were mostly modern (recharged since 1952), with a median recharge temperature of 13 degrees Celsius.
Redox conditions in groundwater indicated the likely occurrence of nitrate attenuation by denitrification downgradient from the wells to the south of Elizabeth Lake before groundwater discharges to the lake. Undetectable nitrate in Elizabeth Lake at the time of sampling was likely due to algal uptake. Most wells contained stable isotopes of nitrogen and oxygen in nitrate (δ15N-NO3 and δ18O-NO3) molecules with values consistent with denitrification. However, one monitoring well on the north of Elizabeth Lake (ELLA-8) had no evidence of denitrification, based on elevated concentrations of nitrate and a sufficient amount of dissolved oxygen such that the water was oxic and not favorable for the denitrification reaction. Consequently, this nitrate could be delivered to Elizabeth Lake through groundwater discharge if nitrate is not removed from the system by denitrifying bacteria downgradient from the well before the groundwater discharges into Elizabeth Lake. The principal component analysis demonstrated that dissolved organic matter optical properties track different sources of dissolved organic matter from decayed plants, animals, and animal-derived wastes. Two wells contained strong indicators of OWTS water presence, although geochemical evidence indicated other wells may also be affected by OWTS discharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245012","collaboration":"Water Resources Mission Area—National Water Quality ProgramDirector,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Streptomyces are prolific producers of secondary metabolites from which many clinically useful compounds have been derived. They inhabit diverse habitats but have rarely been reported in vertebrates. Here, we aim to determine to what extent the ecological source (bat host species and cave sites) influence the genomic and biosynthetic diversity of Streptomyces bacteria. We analysed draft genomes of 132 Streptomyces isolates sampled from 11 species of insectivorous bats from six cave sites in Arizona and New Mexico, USA. We delineated 55 species based on the genome-wide average nucleotide identity and core genome phylogenetic tree. Streptomyces isolates that colonize the same bat species or inhabit the same site exhibit greater overall genomic similarity than they do with Streptomyces from other bat species or sites. However, when considering biosynthetic gene clusters (BGCs) alone, BGC distribution is not structured by the ecological or geographical source of the Streptomyces that carry them. Each genome carried between 19–65 BGCs (median=42.5) and varied even among members of the same Streptomyces species. Nine major classes of BGCs were detected in ten of the 11 bat species and in all sites: terpene, non-ribosomal peptide synthetase, polyketide synthase, siderophore, RiPP-like, butyrolactone, lanthipeptide, ectoine, melanin. Finally, Streptomyces genomes carry multiple hybrid BGCs consisting of signature domains from two to seven distinct BGC classes. Taken together, our results bring critical insights to understanding Streptomyces-bat ecology and BGC diversity that may contribute to bat health and in augmenting current efforts in natural product discovery, especially from underexplored or overlooked environments.
","language":"English","publisher":"International Society for Microbial Ecology Communications","doi":"10.1099/mgen.0.001238","usgsCitation":"Montoya-Giraldo, M., Piper, K., Ikhimiukor, O., Park, C., Caimi, N.A., Buecher, D.C., Valdez, E.W., Northup, D.E., and Andam, C., 2024, Ecology shapes the genomic and biosynthetic diversification of Streptomyces bacteria from insectivorous bats: Microbial Genomics, v. 16, no. 4, 001238, 11 p., https://doi.org/10.1099/mgen.0.001238.","productDescription":"001238, 11 p.","ipdsId":"IP-157474","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1099/mgen.0.001238","text":"Publisher Index Page"},{"id":465664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Giraldo, Manuela","contributorId":347765,"corporation":false,"usgs":false,"family":"Montoya-Giraldo","given":"Manuela","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piper, Kathryn R.","contributorId":347766,"corporation":false,"usgs":false,"family":"Piper","given":"Kathryn R.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ikhimiukor, Odion O.","contributorId":347767,"corporation":false,"usgs":false,"family":"Ikhimiukor","given":"Odion O.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Park, Cooper J.","contributorId":347768,"corporation":false,"usgs":false,"family":"Park","given":"Cooper J.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":922405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":922406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":922407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":922409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andam, Cheryl P.","contributorId":347769,"corporation":false,"usgs":false,"family":"Andam","given":"Cheryl P.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922410,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70255278,"text":"70255278 - 2024 - Hunting mode and habitat selection mediate the success of human hunters","interactions":[],"lastModifiedDate":"2024-06-14T11:59:05.996948","indexId":"70255278","displayToPublicDate":"2024-04-16T06:56:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hunting mode and habitat selection mediate the success of human hunters","docAbstract":"As a globally widespread apex predator, humans have unprecedented lethal and non-lethal effects on prey populations and ecosystems. Yet compared to non-human predators, little is known about the movement ecology of human hunters, including how hunting behavior interacts with the environment.
We characterized the hunting modes, habitat selection, and harvest success of 483 rifle hunters in California using high-resolution GPS data. We used Hidden Markov Models to characterize fine-scale movement behavior, and k-means clustering to group hunters by hunting mode, on the basis of their time spent in each behavioral state. Finally, we used Resource Selection Functions to quantify patterns of habitat selection for successful and unsuccessful hunters of each hunting mode.
Hunters exhibited three distinct and successful hunting modes (“coursing”, “stalking”, and “sit-and-wait”), with coursings as the most successful strategy. Across hunting modes, there was variation in patterns of selection for roads, topography, and habitat cover, with differences in habitat use of successful and unsuccessful hunters across modes.
Our study indicates that hunters can successfully employ a diversity of harvest strategies, and that hunting success is mediated by the interacting effects of hunting mode and landscape features. Such results highlight the breadth of human hunting modes, even within a single hunting technique, and lend insight into the varied ways that humans exert predation pressure on wildlife.
Uncontrolled stormwater runoff volume is a legacy stressor on sewer-system capacity that is further compromised by the effects of aging infrastructure. Green stormwater infrastructure (GSI) has been used in a variety of designs and configurations (for example, bioretention) with the goal of increasing evapotranspiration and infiltration in the local water cycle. In practice, GSIs have variable effectiveness in reducing runoff volume.
An urban residential site near Detroit, Michigan, called RecoveryPark was monitored for 8 years before and after GSI construction to evaluate how effectively the GSI reduced volumes of stormwater flowing to Detroit’s Water Resource Recovery Facility through combined sewer systems. In addition to the GSI, the study site included an urban farm where salad crops were grown in hoop houses. The monitoring approach was to characterize the urban water cycle through high-frequency measurements of inflows and outflows. Datasets included meteorological data, soils and sediment characteristics, groundwater levels, flows within the combined sewer system, and soils and water chemistry with specific focus on the disposition of road salt.
Although land cover within the RecoveryPark sewershed was high-density residential in the 1950s, the sewershed included only one residence within the 8.74-acre sewershed during this study. Measurements of annual precipitation at the site exceeded long-term annual averages by more than 10 inches during 3 of the 8 years of study. Potential evapotranspiration was often greater than the measured precipitation that averaged 28–34 inches per year. As compared to underlying clay-rich sediments, soils data indicated relatively permeable sediments near land surface with estimated hydraulic conductivity of 0.75 inches per hour; however, these values decreased with increasing depth. Groundwater-level data revealed increases in groundwater storage as indicated by increases in seasonal groundwater levels and development of a groundwater mound adjacent to the GSI. These increases in groundwater levels were directly adjacent to swales designed to infiltrate stormwater and only became evident after installing the GSI.
Flows within the combined sewer system included rainwater, septic effluent, groundwater infiltration, leakage from water-supply lines, and release of water stored in abandoned foundations. Dry-weather flows (no rain fell within the prior 3 days) averaged 7–10 gallons per minute, which were much greater than flows estimated by septic outflow alone. A set of estimated water budgets were compiled, and results showed large discrepancies in unaccounted flows. To further examine these discrepancies, dye-tracing within the combined sewer system helped examine the sources of water by relating flow volumes to drainage area. For one of the monitoring sites within the combined sewer system along the southeast side of the study area, flows estimated by dye concentrations were more than 10 percent greater than those measured by standard methods. Through peak-flow-regression analysis, a minimum of 2.4 million gallons of water per year were infiltrated or lost to evapotranspiration because of GSI construction. After site modifications were made by excavating gravel drains to improve drainage characteristics, estimated stormwater volumes within the combined sewer system returned to near preconstruction levels. The GSI was effectively bypassed to address slow infiltration rates and standing water; the bypass all but eliminated the potential benefits of volume reduction.
Late in the project, a water-quality study was added to examine the transport of road salt and associated chloride within the GSI and the combined sewer system. Continuous specific conductance was used as a surrogate for chloride concentrations to estimate that 2,790 pounds of dissolved chloride passed through the sewershed during the winter months of late 2020 through early 2021. These data were collected after GSI modification, therefore most, if not all, of the chloride was transported directly to Detroit’s Water Resource Recovery Facility via the combined sewer system. Mixing diagrams using chloride and bromide concentrations of road salt, potable water, rainwater, groundwater, and water from the combined sewer system confirmed that water within the combined sewer system is a mix of these sources. The poor condition of the combined sewer system pipes and resulting unaccounted inflows added to the challenge of accurately monitoring and identifying sources and sinks of water within the RecoveryPark sewershed.
Our research results suggest that—along with clear and quantifiable objectives—the catchment and site conditions should be well-characterized before determining the GSI design. In addition, the work presented in this report provides implications and lessons learned for effectiveness and future studies of GSI in urban settings. These efforts can be improved through increased communication between stakeholders, use of high-quality soils in GSI that have suitable hydraulic characteristics, redundant data-collection networks for critical data streams, and focusing meteorological-data collection within the GSI to obtain relevant evapotranspiration data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245018","collaboration":"Prepared in cooperation with United States Environmental Protection Agency","usgsCitation":"Haefner, R.J., Hoard, C.J., and Shuster, W., 2024, Hydrologic study of green infrastructure in poorly drained urbanized soils at RecoveryPark, Detroit, Michigan, 2014–21: U.S. Geological Survey Scientific Investigations Report 2024–5018, 29 p., https://doi.org/10.3133/sir20245018.","productDescription":"Report: viii, 29 p.; Dataset; 2 Data Releases","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154558","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499447,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116361.htm","linkFileType":{"id":5,"text":"html"}},{"id":427762,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96GBEXW","text":"USGS data release","linkHelpText":"Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2016)"},{"id":427761,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FP21N9","text":"USGS data release","linkHelpText":"Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021)"},{"id":427759,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5018/images/"},{"id":427758,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5018/sir20245018.XML"},{"id":427757,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5018/sir20245018.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5018"},{"id":427756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5018/coverthb.jpg"},{"id":427763,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":427760,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245018/full"}],"country":"United States","state":"Michigan","city":"Detroit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.0495294507557,\n 42.37379642239543\n ],\n [\n -83.0495294507557,\n 42.36384762590089\n ],\n [\n -83.0332708011147,\n 42.36384762590089\n ],\n [\n -83.0332708011147,\n 42.37379642239543\n ],\n [\n -83.0495294507557,\n 42.37379642239543\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1992 Folwell Avenue
St. Paul, MN 55108
This report characterizes changes in peak streamflow in Missouri and the relation of these changes to climatic variability, and provides a foundation for future studies that can address nonstationarity in peak-streamflow frequency analysis in Missouri. Records of annual peak and daily streamflow at streamgages and gridded monthly climatic data (observed and modeled) were examined across four trend periods (100 years, water years 1921–2020; 75 years, 1946–2020; 50 years, 1971–2020; and 30 years, 1991–2020) for trends, change points (abrupt changes in the streamflow time series), and other statistical properties indicative of changing conditions. Peak streamflow magnitudes generally exhibit upward trends across the State for the 100-, 75-, and 50-year trend periods and only in southern Missouri for the 30-year trend period. The medians of the trend magnitudes (normalized by median peak streamflow) range from a 10-percent increase during the 30-year trend period to a 40-percent increase during the 100-year trend period. Changes in the 90-percent quantile of peak streamflow, which correspond to the 10-percent exceedance probability often used for the design of drainage structures, are not as substantial or widespread, showing consistent increases mainly in the southern part of the State in the 50- and 30-year trend periods. Streamgages with trends in peak streamflow often also have change points, or abrupt changes, in streamflow magnitude. Change points in peak streamflows generally follow that of the peak streamflow trends, with upward change points throughout most of the State at the 100- and 75-year trend periods and in southern Missouri at the 30-year trend period. Temporally, clusters upward of change points are observed in the 1970s through 1980s for the 100-, 75-, and 50-year trend periods and around 2006 and 2007 for the 50- and 30-year trend periods.
A peaks-over-threshold analysis, which evaluates changes in the frequency of peak streamflows over a certain threshold, indicates that high flows have increased in frequency at 50 to 64 percent of streamgages in the 100- and 75-year trend periods. Most streamgages in the 50- and 30-year trend periods exhibit no change. Although the frequency of high flows has increased at some streamgages and trend periods in Missouri, these increases are not as widespread as the increases in the magnitude of peak streamflow.
Upward trends in observed temperature and observed annual precipitation dominate in all trend periods, with no downward trends in precipitation and only two somewhat likely downward trends in temperature for the 100-year trend period. Increases in annual precipitation mostly are limited to southern Missouri for the 30-year trend period. The proportion of precipitation falling as snow has largely decreased in the study basins across the State, which is expected in response to increasing temperature. Upward trends in modeled annual runoff, which in this study incorporates only the effects of climatic variation, are observed in the same geographic areas where there are increases in observed annual precipitation. When peak streamflow and climatic trends are considered together, widespread upward trends in peak streamflows for the 100-, 75-, and 50-year trend periods and for the 30-year trend period mainly in southern Missouri (encompassing both trends and abrupt change) appear to be driven largely by increases in precipitation based on spatial patterns and statistical relations.
The prevalence of nonstationarity in peak streamflow in Missouri has important implications for peak-flow frequency analysis. Winter and spring precipitation and the occurrence of extreme precipitation events are expected to increase across the State. If precipitation continues to increase as expected, peak-flow frequency estimates based on older records may no longer represent the hydrologic regime of today, and methods for nonstationary peak-flow frequency analysis may be needed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064F","collaboration":"Prepared in cooperation with the Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Marti, M.K., and Heimann, D.C., 2024, Peak streamflow trends in Missouri and their relation to changes in climate, water years 1921–2020, chap. F of Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 50 p., https://doi.org/10.3133/sir20235064F.","productDescription":"Report: viii, 50 p.; Dataset; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148298","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":427713,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064F/full"},{"id":499377,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116360.htm","linkFileType":{"id":5,"text":"html"}},{"id":427715,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data 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\"}}]}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
New World mabuyine skinks are a diverse radiation of morphologically cryptic lizards with unique reproductive biologies. Recent studies examining population-level data (morphological, ecological, and genomic) have uncovered novel biodiversity and phenotypes, including the description of dozens of new species and insights into the evolution of their highly complex placental structures. Beyond the potential for this diverse group to serve as a model for the evolution of viviparity in lizards, much of the taxonomic diversity is concentrated in regions experiencing increasing environmental instability from climate and anthropogenic change. Consequently, a better understanding of genome structure and diversity will be an important tool in the adaptive management and conservation of this group. Skinks endemic to Caribbean islands are particularly vulnerable to global change with several species already considered likely extinct and several remaining species either endangered or threatened. Combining PacBio long-read sequencing, Hi-C, and RNAseq data, here we present the first genomic resources for this group by describing new chromosome-level reference genomes for the Puerto Rican Skink Spondylurus nitidus and the Culebra Skink S. culebrae. Results indicate two high quality genomes, both ∼1.4 Gb, assembled nearly telomere to telomere with complete mitochondrion assembly and annotation.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evae079","usgsCitation":"Rivera, D., Henderson, J.B., Lam, A.W., Hostetter, N.J., Collazo, J.A., and Bell, R.C., 2024, High-quality, chromosome-level reference genomes of the viviparous Caribbean skinks Spondylurus nitidus and S. culebrae: Genome Biology and Evolution, v. 16, no. 5, evae079, 7 p., https://doi.org/10.1093/gbe/evae079.","productDescription":"evae079, 7 p.","ipdsId":"IP-163789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evae079","text":"Publisher Index Page"},{"id":433073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivera, Danielle","contributorId":341265,"corporation":false,"usgs":false,"family":"Rivera","given":"Danielle","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, James B.","contributorId":341266,"corporation":false,"usgs":false,"family":"Henderson","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lam, Athena W.","contributorId":341267,"corporation":false,"usgs":false,"family":"Lam","given":"Athena","email":"","middleInitial":"W.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":908165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Rayna C.","contributorId":341268,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna","email":"","middleInitial":"C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262577,"text":"70262577 - 2024 - A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards","interactions":[],"lastModifiedDate":"2025-01-21T17:14:40.212979","indexId":"70262577","displayToPublicDate":"2024-04-15T11:09:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19895,"text":"Reclamation Matters","active":true,"publicationSubtype":{"id":10}},"title":"A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards","docAbstract":"The U. S. Geological Survey, in partnership with the Bureau of Land Management, recently published an oil and gas reclamation techniques and methods report that provides land managers and oil and gas operators specific guidance and best management practices for development impacts, successfully reclaiming disturbed lands during and after oil and gas activities. Resource inventory, monitoring, and protection of oil and gas sites are mandated by federal statutes and regulations, yet this is the first publication defining standards and guidelines for how to successfully monitor soil and vegetation outcomes disturbed oil and gas sites and evaluate those monitoring data against standards available at a national level. The report emphasizes the importance of best management practices, clear standards, effective monitoring and minimizing surface disturbance for successful land reclamation.","language":"English","publisher":"American Society of Reclamation Sciences (ASRS)","usgsCitation":"Duniway, M.C., and Hartwell, M.A., 2024, A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards: Reclamation Matters, no. Spring 2024, p. 40-41.","productDescription":"2 p.","startPage":"40","endPage":"41","ipdsId":"IP-163449","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":480840,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asrs.us/wp-content/uploads/2024/10/Reclamation-Matters_Spring-2024.pdf"},{"id":480842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Spring 2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartwell, Meredith A. 0000-0001-6350-5450 mhartwell@usgs.gov","orcid":"https://orcid.org/0000-0001-6350-5450","contributorId":4842,"corporation":false,"usgs":true,"family":"Hartwell","given":"Meredith","email":"mhartwell@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70253005,"text":"70253005 - 2024 - Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon","interactions":[],"lastModifiedDate":"2024-04-16T15:45:51.500784","indexId":"70253005","displayToPublicDate":"2024-04-15T10:37:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon","docAbstract":"Wetland ecosystems hold nearly a third of the global soil carbon pool, but as wetlands rapidly disappear the fate of this stored soil carbon is unclear. The aim of this study was to quantify and then link potential rates of microbial decomposition after vertical drowning of vegetated tidal marshes in coastal Louisiana to known drivers of anaerobic decomposition altered by vegetation loss. Profiles of potential CH4 and CO2 production (surface to 60 cm deep) were measured during anaerobic incubations, organic matter chemistry was assessed with infrared spectroscopy, and soil porewater nutrients and redox potentials were measured in the field along a chronosequence of wetland loss. After vertical drowning, pond soils had lower redox potentials, higher pH values, lower soil carbon and nitrogen concentrations, lower lignin: polysaccharide ratios, more NH4+ and PO43−, and higher rates of potential CO2 release than vegetated marsh soils. Potential CH4 production was similar in vegetated marshes and open water ponds, with depth-dependent decreases in CH4 production as soil carbon concentrations increased. In these anoxic soils, vegetation loss exerts a primary control on decomposition rates because flooding drives sustained increases in porewater nutrient availability (NH4+ and PO43, dissolved organic carbon) and decreases in redox potential (from −150 to −500 mV) that lead to higher potential CO2 fluxes within a few years. Without new carbon inputs following wetland loss, the sustained decomposition in open water ponds may lead to losses of stored soil carbon and could influence global carbon budgets.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007832","usgsCitation":"Creamer, C., Waldrop, M., Stagg, C., Manies, K.L., Baustian, M.M., Laurenzano, C., Aw, T.G., Haw, M., Merino, S., Schoolmaster, D.R., Sevilgen, S.N., Villani, R.K., and Ward, E., 2024, Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon: JGR Biogeosciences, v. 129, no. 4, e2023JG007832, 17 p., https://doi.org/10.1029/2023JG007832.","productDescription":"e2023JG007832, 17 p.","ipdsId":"IP-156115","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":434988,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YJ25DP","text":"USGS data release","linkHelpText":"Plant, soil, and microbial characteristics of marsh collapse in Mississippi River Deltaic wetlands"},{"id":427817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Deltaic Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.114692623043,\n 29.608206673708935\n ],\n [\n -90.114692623043,\n 29.52716446952803\n ],\n [\n -90.0419601124058,\n 29.52716446952803\n ],\n [\n -90.0419601124058,\n 29.608206673708935\n ],\n [\n -90.114692623043,\n 29.608206673708935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Creamer, Courtney 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To date, much of the research in this area has been focused on the direct effectiveness of different methods of deterrence. However, the effect of these structures on populations in spatially complex habitats is unknown. We combine a metacommunity model with movement data of two invasive species (bighead carp and silver carp) in a large river to assess local and river-wide scale population outcomes of deterrent locations. We calculated (1) which potential deterrent locations are most effective at reducing the growth at the invasion front (2) the river-scale population effects at each location, and (3) what, if any, are the risks imposed by altering the current spatial dynamics. We found that the effects on the population dynamics at the invasion front varied with the location of deterrents, ranging from near zero to effects equal to the reduction in an individual’s movement across the deterrent. The river-scale population growth rate was slightly increased by all potential deterrent placements because the deterrents tended to concentrate more of the river-scale population into pools with the highest recruitment rates. The short-term, transient dynamics followed a strictly decreasing pattern after deterrent placement suggesting no additional short-term risk. These results suggest that deterrents can be an effective and low-risk intervention for the control of invasive carp, although the population level effect will depend on the interaction of the traits and behavior of the species with the physical character and spatial structure of the habitat.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03264-y","usgsCitation":"Schoolmaster, D.R., Cupp, A.R., Coulter, A.A., and Erickson, R.A., 2024, Multi-scale effects of behavioral movement deterrents on invasive carp metapopulations: Biological Invasions, v. 26, p. 1957-1968, https://doi.org/10.1007/s10530-024-03264-y.","productDescription":"12 p.","startPage":"1957","endPage":"1968","ipdsId":"IP-153898","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439841,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03264-y","text":"Publisher Index Page"},{"id":428070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.44396631159604,\n 38.97859098451531\n ],\n [\n -90.50584005243351,\n 39.47664301354831\n ],\n [\n -90.45601361764062,\n 39.93556348922536\n ],\n [\n -89.57587065029665,\n 40.56405598106011\n ],\n [\n -89.42460876058917,\n 40.84678108964957\n ],\n [\n -89.24758626552949,\n 41.14254244385123\n ],\n [\n -89.26822098569241,\n 41.28347296384919\n ],\n [\n -88.79044078379243,\n 41.27959285231836\n ],\n [\n -88.13557238918843,\n 41.353175412020306\n ],\n [\n -87.93444927991843,\n 41.56444375028934\n ],\n [\n -87.5821359108771,\n 41.824946761859024\n ],\n [\n -87.6336995179597,\n 41.9247724140896\n ],\n [\n -88.13725499356885,\n 41.65565682607024\n ],\n [\n -88.68223686543755,\n 41.39696913619841\n ],\n [\n -89.43138913096519,\n 41.36994769606008\n ],\n [\n -89.819756558224,\n 40.656782142381616\n ],\n [\n -90.26663167316853,\n 40.29467439404223\n ],\n [\n -90.67058104178773,\n 39.93844653640866\n ],\n [\n -90.76683294120748,\n 39.70745698602491\n ],\n [\n -90.67057131228138,\n 39.51147408789487\n ],\n [\n -90.60009208093823,\n 38.89760261018182\n ],\n [\n -90.51411400700547,\n 38.92035813763263\n ],\n [\n -90.44396631159604,\n 38.97859098451531\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":899426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":899427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":899428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":899429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70252799,"text":"70252799 - 2024 - Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2026-02-11T15:03:06.655831","indexId":"70252799","displayToPublicDate":"2024-04-15T09:22:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum","docAbstract":"We studied the rapid paleo-environmental changes and the corresponding biotic responses of benthic foraminifera of a shallow shelf site during the late Paleocene and the Paleocene-Eocene Thermal Maximum (PETM). The PETM is globally characterized by a negative δ13C excursion in marine and terrestrial sediments. Isotope data from the Atlantic Coastal Plain from the South Dover Bridge core, Maryland, show an additional small δ13C excursion just below the base of the PETM: the “pre-onset excursion” (POE). The benthic foraminiferal and coupled grain-size record of the late Paleocene indicates a well-oxygenated, current-dominated environment with a stable, high food supply. During the POE, bottom currents become subdued and finer-grained sediment accumulation increased. These changes are partially reversed after the end of the POE. Before the PETM the river influence increases again, food supply becomes more pulsed and the benthic taxa, typically connected to the PETM, start to appear in those gradually warming conditions. During the PETM, the environment shifts to a river-dominated one, with strongly reduced currents. The low-diversity PETM fauna thrives under episodic low-oxygen conditions, caused by river-induced stratification, while the Paleocene assemblage nearly vanishes from the record. Gradually the environment begins to recover, the grain size shows an uptick in bottom currents and pre-PETM foraminifera become more abundant again, indicating increased oxygen levels and a more stable food supply. While the overall environmental shifts at South Dover Bridge fit within the observations across the shelf, the POE related insights are so far unique. Our bathymetric reconstructions show an outer neritic paleodepth (∼100 m) during the Paleocene, with a modest sea level rise in the core phase of the PETM, which is subsequently reversed during the recovery phase.
","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.54.2.143","usgsCitation":"Doubrawa, M., Stassen, P., Robinson, M., and Speijer, R.P., 2024, Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum: Journal of Foraminiferal Research, v. 54, no. 2, p. 143-171, https://doi.org/10.61551/gsjfr.54.2.143.","productDescription":"29 p.","startPage":"143","endPage":"171","ipdsId":"IP-155467","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499942,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.61551/gsjfr.54.2.143","text":"Publisher Index Page"},{"id":427906,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.10891649169822,\n 40.518453890233616\n ],\n [\n -75.28202910167113,\n 40.02601228395062\n ],\n [\n -75.82167515125391,\n 39.67169552894984\n ],\n [\n -76.80684613099872,\n 39.16603352302238\n ],\n [\n -78.31040700720477,\n 37.80300551616409\n ],\n [\n -78.75565773941389,\n 37.26456421852228\n ],\n [\n -75.34980892504812,\n 37.23631760218568\n ],\n [\n -73.94050523737675,\n 40.19846484676347\n ],\n [\n -74.10891649169822,\n 40.518453890233616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Doubrawa, Monika","contributorId":332061,"corporation":false,"usgs":false,"family":"Doubrawa","given":"Monika","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stassen, Peter","contributorId":290269,"corporation":false,"usgs":false,"family":"Stassen","given":"Peter","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Speijer, Robert P.","contributorId":290266,"corporation":false,"usgs":false,"family":"Speijer","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260205,"text":"70260205 - 2024 - Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes","interactions":[],"lastModifiedDate":"2024-10-30T14:14:17.511566","indexId":"70260205","displayToPublicDate":"2024-04-15T09:05:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes","docAbstract":"Volcano-hazard maps are broadly recognized as important tools for forecasting and managing volcanic crises and for disseminating spatial information to authorities and people at risk. As scientists, we might presume that hazards maps can be developed at the time and with the methods of our discretion, yet the co-production of maps with stakeholder groups, who have programmatic needs of their own, can sway the timing, usability, and acceptance of map products.
We examine two volcano hazard map-making efforts by staff at the U.S. Geological Survey. During the 1990s and early 2000s scientists developed a series of hazard assessments and maps with detailed zonations for volcanoes in Washington and Oregon. In 2009, the National Park Service expressed the need for simplified versions of the existing hazard maps for a high-profile visitor center exhibit. This request created an opportunity for scientists to rethink the objectives, scope, content, and map representations of hazards. The primary focus of this article is a discussion of processes used by scientists to distill the most critical information within the official parent maps into a series of simplified maps using criteria specified. We contextualize this project with information about development of the parent maps, public response to the simplified hazard maps, the value of user engagement in mapmaking, and with reference to the abundance of guidance available to the next generation of hazard-mapmakers.
We argue that simplified versions of maps should be developed in tandem with any hazard maps that contain technical complexities, not as a replacement, but as a mechanism to broaden awareness of hazards. We found that when scientists endeavor to design vivid and easy-to-understand maps, people in many professions find uses for them within their organization’s information products, resulting in extensive distribution.
","language":"English","publisher":"SpringerNature","doi":"10.1186/s13617-024-00142-z","usgsCitation":"Driedger, C.L., Ramsey, D.W., Scott, W., Faust, L.M., Bard, J., and Wold, P., 2024, Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes: Journal of Applied Volcanology, v. 13, 4, 18 p., https://doi.org/10.1186/s13617-024-00142-z.","productDescription":"4, 18 p.","ipdsId":"IP-147027","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-024-00142-z","text":"Publisher Index Page"},{"id":463431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Range volcanoes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.18889174031804,\n 48.90824166864729\n ],\n [\n -124.62276091044785,\n 48.90824166864729\n ],\n [\n -124.62276091044785,\n 42.08636486144181\n ],\n [\n -120.18889174031804,\n 42.08636486144181\n ],\n [\n -120.18889174031804,\n 48.90824166864729\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Driedger, Carolyn L. 0000-0002-4011-4112","orcid":"https://orcid.org/0000-0002-4011-4112","contributorId":204744,"corporation":false,"usgs":true,"family":"Driedger","given":"Carolyn","email":"","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, William E. 0000-0001-8156-979X","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":250706,"corporation":false,"usgs":true,"family":"Scott","given":"William E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Lisa M. 0000-0001-6175-8999 lisaf@usgs.gov","orcid":"https://orcid.org/0000-0001-6175-8999","contributorId":345755,"corporation":false,"usgs":true,"family":"Faust","given":"Lisa","email":"lisaf@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bard, Joseph A. 0000-0003-3143-4007","orcid":"https://orcid.org/0000-0003-3143-4007","contributorId":202824,"corporation":false,"usgs":true,"family":"Bard","given":"Joseph A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wold, Patti","contributorId":345756,"corporation":false,"usgs":false,"family":"Wold","given":"Patti","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":917408,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70252797,"text":"70252797 - 2024 - Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA","interactions":[],"lastModifiedDate":"2024-07-01T14:40:17.25546","indexId":"70252797","displayToPublicDate":"2024-04-15T09:03:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA","docAbstract":"The Calvert Cliffs, MD, an iconic section of Middle Miocene strata, have been well studied both paleontologically and stratigraphically for over a century. However, few studies of the Calvert Cliffs have looked at the benthic foraminifera. This study uses SHEBI analysis (SHE analysis for biozone identification) of benthic foraminiferal assemblages to analyze community change in the Calvert and Choptank formations of the Calvert Cliffs deposited during the Miocene Climatic Optimum (MCO; 17–14.8 Ma) and the Middle Miocene Climate Transition (MMCT; 14.8–13.8 Ma). SHE analysis differs from traditional analytical methods by defining communities based on changes in diversity rather than the relative abundance of individual species. This study uses SHE analysis on a composite section of benthic foraminiferal assemblages from three vertical transects that span the MCO and MMCT. Two communities were identified from the studied strata. Community 1 was deposited during the MCO and includes incised valley fill (IVF), transgressive system tract (TST), and highstand system tract (HST) deposits. Community 2, deposited during the MMCT, is composed of samples from TST, HST, IVF, and another HST. The assemblages of community 1 are representative of an inner to middle shelf environment whereas those of community 2 are representative of an inner shelf environment. The two foraminiferal communities differentiated by SHE analysis indicate a high relative sea level in the Salisbury Embayment during the warm MCO followed by a decrease in sea level during the subsequent cooler MMCT.
","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.54.2.188","usgsCitation":"Sutton, S.R., Culver, S.J., Hayek, L., Mallinson, D.J., Robinson, M., Dowsett, H., and Buzas, M.A., 2024, Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA: Journal of Foraminiferal Research, v. 54, no. 2, p. 188-197, https://doi.org/10.61551/gsjfr.54.2.188.","productDescription":"10 p.","startPage":"188","endPage":"197","ipdsId":"IP-162208","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439845,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.61551/gsjfr.54.2.188","text":"Publisher Index Page"},{"id":427905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.63123585226091,\n 38.59681899682204\n ],\n [\n -76.63123585226091,\n 38.33629318994147\n ],\n [\n -76.35992434356987,\n 38.33629318994147\n ],\n [\n -76.35992434356987,\n 38.59681899682204\n ],\n [\n -76.63123585226091,\n 38.59681899682204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Seth R.","contributorId":335398,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth","email":"","middleInitial":"R.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":898257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":898258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayek, Lee-Ann","contributorId":335400,"corporation":false,"usgs":false,"family":"Hayek","given":"Lee-Ann","affiliations":[{"id":80394,"text":"Smithsonia Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":898259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":898260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898262,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buzas, Martin A.","contributorId":335401,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A.","affiliations":[{"id":27990,"text":"Deceased","active":true,"usgs":false}],"preferred":false,"id":898263,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253098,"text":"70253098 - 2024 - Remotely mapping gullying and incision in Maryland Piedmont headwater streams using repeat airborne lidar","interactions":[],"lastModifiedDate":"2024-04-19T12:23:43.348649","indexId":"70253098","displayToPublicDate":"2024-04-15T07:21:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Remotely mapping gullying and incision in Maryland Piedmont headwater streams using repeat airborne lidar","docAbstract":"Headwater streams can contribute significant amounts of fine sediment to downstream waterways, especially when severely eroded and incised. Potential upstream sediment source identification is crucial for effective management of water quality, aquatic habitat, and sediment loads in a watershed. This study explored topographic openness (TO) derived from 1-m lidar for its ability to predict incision in headwater streams and to remotely detect changes in incision over time. Field surveys were conducted in one forested and two recently urbanized headwater watersheds in the Maryland Piedmont physiographic province, USA to characterize the level of stream channel incision (none, moderate, or severe) in the main stem of each watershed. Predictions of the severity of stream channel incision derived from TO were compared against the field surveys. Channel incision was detected with an overall accuracy of 67 %, with best performance in reaches with either severe or no incision (79–86 % accuracy). The method was also applied to repeat lidar collected over the same area to model the extent of channel incision in 2002 before urban development began and in 2008 and 2013 during active construction in the urban watersheds. Results showed increasing incision over time in all three watersheds, with similar patterns in the forested and urban watersheds. This new method of remotely measuring channel incision can be used to identify potential sediment sources across a watershed, enhance water and habitat quality predictions, and detect changes over time where multiple years of overlapping lidar are available.
Groundwater-resource quality is assumed to be less responsive to drought compared to that of surface water due to relatively long transit times of recharge to drinking-supply wells. Here, we evidence dynamic perturbations in aquifer pressure dynamics during drought and subsequent recovery periods cause dramatic shifts in groundwater quality on a basin scale. We used a novel application of time-series clustering on annual nitrate anomalies at >450 public-supply wells (PSWs) across California's San Joaquin Valley during 2000–22 to group sub-populations of wells with similar water-quality responses to drought. Additionally, we statistically evaluated the direction and magnitude of multi-constituent water-quality changes across the San Joaquin Valley using a broader dataset of >3000 PSWs with data during two select hydrologic stress periods representing an extreme drought (2012–16) and subsequent recovery (2016–19). Results of time-series clustering and stress-period change analyses corroborate a predominant regional response to pumping stress characterized by increased concentrations of anthropogenic constituents (nitrate, total dissolved solids) and decreased concentrations of geogenic constituents (arsenic, fluoride), which largely reversed during recovery. Cluster analysis also identified a secondary, less commonly occurring group of PSWs where nitrate decreased during drought, but explanatory factor analysis was not able to discern hydrogeologic drivers for these two divergent response patterns. Long-term tracer data support the hypothesis that the predominant regional signal of nitrate increase during drought is caused by enhanced capture of modern-aged groundwater by PSWs during periods of pumping stress, which can drive rapid changes in water quality on seasonal and multiannual timescales. Pumping-induced migration of modern, oxic groundwater to depth during drought may affect geochemical conditions in deeper portions of regional aquifers controlling the mobility of geogenic contaminants over the long term.
About 80 % of the precipitation at the Colorado River's headwaters is snow, and the resulting snowmelt-driven hydrograph is a crucial water source for about 40 million people. Snowmelt from alpine and subalpine snowpack contributes substantially to groundwater recharge and river flow. However, the dynamics of snowmelt progression are not well understood because observations of the high-elevation snowpack are difficult due to challenging access in complex mountainous terrain as well as the cost and labor intensity of currently available methods. We present a novel approach to infer the processes and dynamics of high-elevation snowmelt contributions predicated upon stable hydrogen and oxygen isotope ratios observed in streamflow. We show that deuterium-excess (d-excess) values of stream water could serve as a comparatively cost-effective proxy for a catchment-integrated signal of high-elevation snowmelt contributions to catchment runoff.
We sampled stable hydrogen and oxygen isotope ratios of the precipitation, snowpack, and stream water in the East River, a headwater catchment of the Colorado River, and the stream water of larger catchments at sites on the Gunnison River and Colorado River.
The d-excess of snowpack increased with elevation; the upper subalpine and alpine snowpack (> 3200 m) had substantially higher d-excess compared to lower elevations (< 3200 m) in the study area. The d-excess values of stream water reflected this because d-excess values increased as the higher-elevation snowpack contributed more to stream water generation later in the snowmelt/runoff season. End-member mixing analyses based on the d-excess data showed that the share of high-elevation snowmelt contributions within the snowmelt hydrograph was on average 44 % and generally increased during melt period progression, up to 70 %. The observed pattern was consistent during 6 years for the East River, and a similar relation was found for the larger catchments on the Gunnison and Colorado rivers. High-elevation snowpack contributions were found to be higher for years with lower snowpack and warmer spring temperatures. Thus, we conclude that the d-excess of stream water is a viable proxy to observe changes in high-elevation snowmelt contributions in catchments at various scales. Inter-catchment comparisons and temporal trends of the d-excess of stream water could therefore serve as a catchment-integrated measure to monitor if mountain systems rely on high-elevation water inputs more during snow drought compared to years of average snowpack depths.
Fluvial strata of the Upper Triassic Chinle Formation and Dockum Group, exposed across the Western Interior of North America, have long been interpreted to record a transcontinental river system that connected the ancestral Ouachita orogen of Texas and Oklahoma, USA, to the Auld Lang Syne basin of northwestern Nevada, USA, its inferred marine terminus. Fluvial strata are well-characterized by existing detrital zircon data, but the provenance of the Auld Lang Syne basin is poorly constrained. We present new detrital zircon U-Pb and Hf isotopic data that characterize the provenance of Norian siliciclastic strata that dominate the Auld Lang Syne basin. Mixture modeling of Auld Lang Syne basin data identifies the Alleghany−Ouachita−Marathon belt of eastern Laurentia as a dominant source of sediment, but the presence of Triassic detrital zircon grains in Auld Lang Syne basin strata indicates that at least one peri-Laurentian arc segment had to have also contributed sediment. A comparison of new Hf isotopic data with those characterizing various peri-Laurentian volcanic arcs demonstrates that although multiple arc segments may have simultaneously contributed zircons to the Auld Lang Syne basin, the west Pangean arc of northern Mexico stands out as a unique source of highly evolved Permian to Triassic detrital zircon grains in samples from the Auld Lang Syne basin. Altogether, our data and analyses demonstrate source-to-sink connectivity between the Late Triassic (Norian) Cordilleran margin and remnant late Paleozoic highlands of southern to eastern Laurentia, which ultimately framed a Mississippi River−scale, transcontinental watershed that traversed the topographically subdued Laurentian continental interior.
We examined Holocene benthic foraminiferal biofacies, % planktonic foraminifera, and lithofacies changes from New England mud patch cores and present a relative sea-level (RSL) record to evaluate evolution of these rapidly deposited (30–79 cm/kyr) muds. Sandy lower Holocene sections are dominated by Bulimina marginata. The mud patch developed from 11–9 ka as RSL rise slowed from 10 to 7 mm/yr; mud deposition began when the cores (69 to 91 m modern) were inundated below storm wave base. An Elphidium-B. marginata fauna developed at ca. 7–6 ka as RSL rise slowed from approximately 7 to 2 mm/yr. A Globobulimina fauna developed at 3 ka as RSL rise slowed to 1 mm/yr, reflecting lower O2 conditions. Single specimen δ18O analyses of Globobulimina show ∼1‰ variations over the past 3 kyr, reflecting a shelf bottom water seasonal cycle of 4–5°C, and a temperature minimum during the Little Ice Age with warming since.
We integrate the existing detrital zircon data from multiple modern river sediment samples on Viti Levu, Fiji, with the most current available geological and topographic mapping of the respective river drainage basins to compare detrital populations with potential bedrock sources. The temporal and spatial variations in zircon geochemistry supplement what is known from igneous rocks and confirm the petrological differences between plutonic and volcanic rocks from the Eocene to early Oligocene (Yavuna age, >30 Ma), middle Oligocene to middle Miocene (Wainimala age, 30–12.5 Ma), late Miocene (Colo age, 12.5–6.5 Ma) and latest Miocene (Namosi age, 6.5–5 Ma). The >30 Ma Yavuna-age zircons are restricted to areas that drain the previously mapped Yavuna Group. The 30–12.5 Ma zircons are found across central Viti Levu from west to east, and the 30–15 Ma zircons have distinctively low U/Yb and high Dy/Yb ratios. They are the best radiometric evidence of widespread early to middle Miocene arc magmatism in Fiji that was relatively U-poor. Peak deconvolution of the Colo age zircons from individual basins suggests the following ages for undated or poorly dated plutons from central Viti Levu. The large Mavuvu pluton is probably composed of multiple intrusions in the 12–10 Ma range, the Waiqa pluton is probably ca 10 Ma, and the Noikoro pluton is probably ca 9 Ma. There are zircons from unknown plutonic or volcanic sources between 8 and 7 Ma in western Viti Levu that have distinct Eu/Eu* ratios. We attribute the highest U/Yb ratios in some Colo age zircons to crustal anatexis. Namosi-age zircons are abundant in the Medrausucu Group and can be found scattered across Viti Levu.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08120099.2024.2332916","usgsCitation":"Stork, A., Gill, J.B., Todd, E., and Drewes-Todd, E.K., 2024, Detrital zircons and the magmatic history of Viti Levu, Fiji: Australian Journal of Earth Sciences, v. 71, no. 4, p. 600-614, https://doi.org/10.1080/08120099.2024.2332916.","productDescription":"15 p.","startPage":"600","endPage":"614","ipdsId":"IP-158927","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":462590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","otherGeospatial":"Viti Levu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 177.43906669533374,\n -17.500913430772442\n ],\n [\n 177.19873064880753,\n -17.88906860947432\n ],\n [\n 177.260818220212,\n -18.13326652784113\n ],\n [\n 178.16732836567263,\n -18.29999120264695\n ],\n [\n 178.69067436768728,\n -18.16406457548949\n ],\n [\n 178.60696342416523,\n -17.611114359471088\n ],\n [\n 178.46384444475365,\n -17.49057290416684\n ],\n [\n 178.2912423489197,\n -17.285531380045587\n ],\n [\n 177.91342986027942,\n -17.297020685568988\n ],\n [\n 177.43906669533374,\n -17.500913430772442\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stork, Allen","contributorId":292914,"corporation":false,"usgs":false,"family":"Stork","given":"Allen","email":"","affiliations":[{"id":63071,"text":"Department of Geology, Western Colorado University, Gunnison CO, USA","active":true,"usgs":false}],"preferred":false,"id":915046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":915047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":915048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drewes-Todd, Elizabeth Kathleen 0000-0003-0692-3714","orcid":"https://orcid.org/0000-0003-0692-3714","contributorId":243351,"corporation":false,"usgs":true,"family":"Drewes-Todd","given":"Elizabeth","email":"","middleInitial":"Kathleen","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":915049,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256590,"text":"70256590 - 2024 - Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","interactions":[],"lastModifiedDate":"2024-08-22T16:58:33.688064","indexId":"70256590","displayToPublicDate":"2024-04-13T11:52:26","publicationYear":"2024","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":"Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","docAbstract":"Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined with machine learning algorithms represents a potential path forward to effectively and efficiently monitor the occurrence of rare vocalizing species across entire forest landscapes. Our objectives were to develop and implement a convolutional neural network (PNW-Cnet) to identify vocalizations of a rare and threatened forest nesting bird species – the marbled murrelet (Brachyramphus marmoratus) – in the Pacific Northwest, U.S.A., 2018–2021. We used PNW-Cnet predictions from broadscale passive acoustic monitoring data to examine spatiotemporal patterns in the distribution of murrelets. PNW-Cnet showed sufficiently high prediction accuracy (overall precision > 0.9) to enable broadscale population monitoring. Spatiotemporal analysis showed that annual peak murrelet call abundance occurs in ordinal weeks 28–32 (late July–Mid August) but this varied by study area. The greatest number of detections typically occurred in the Olympic Peninsula and Oregon Coast Range where late-successional forest dominates and nearer to ocean habitats. We demonstrate that passive acoustic monitoring can be used to understand intensity of use across broad scales for a rare and cryptic species in addition to the typical detection/non-detection data that are often collected. Passive acoustic monitoring combined with PNW-Cnet offers considerable promise for species distribution modeling and long-term population monitoring for rare species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112016","usgsCitation":"Duarte, A., Weldy, M.J., Lesmeister, D., Ruff, Z.J., Jenkins, J., Valente, J., and Betts, M., 2024, Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species: Ecological Indicators, v. 162, 112016, 10 p., https://doi.org/10.1016/j.ecolind.2024.112016.","productDescription":"112016, 10 p.","ipdsId":"IP-157789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112016","text":"Publisher Index Page"},{"id":433074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Olympic Peninsula, Oregon Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.82459538488385,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 48.38115798530862\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":341270,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":39530,"text":"U.S.D.A. 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As such, the utility of trait-based approaches to predict species redistribution under climate change has been called into question. We develop the perspective, supported by evidence, that trait variation, if used carefully can have high potential utility, but that past analyses have in many cases failed to identify an explanatory value for traits by not fully embracing the complexity of species range shifts. First, we discuss the relevant theory linking species traits to range shift processes at the leading (expansion) and trailing (contraction) edges of species distributions and highlight the need to clarify the mechanistic basis of trait-based approaches. Second, we provide a brief overview of range shift–trait studies and identify new opportunities for trait integration that consider range-specific processes and intraspecific variability. Third, we explore the circumstances under which environmental and biotic context dependencies are likely to affect our ability to identify the contribution of species traits to range shift processes. Finally, we propose that revealing the role of traits in shaping species redistribution may likely require accounting for methodological variation arising from the range shift estimation process as well as addressing existing functional, geographical, and phylogenetic biases. We provide a series of considerations for more effectively integrating traits as well as extrinsic and methodological factors into species redistribution research. Together, these analytical approaches promise stronger mechanistic and predictive understanding that can help society mitigate and adapt to the effects of climate change on biodiversity.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17271","usgsCitation":"Comte, L., Bertrand, R., Diamond, S.E., Lancaster, L.T., Pinsky, M., Scheffers, B.R., Baecher, J.A., Bandara, R., Chen, I., Lawlor, J.A., Moore, N., Oliveira, B.F., Murienne, J., Rolland, J., Rubenstein, M.A., Sunday, J., Thompson, L., Villalobos, F., Weiskopf, S.R., and Lenoir, J., 2024, Bringing traits back in the equation: A roadmap to understand species redistribution: Global Change Biology, v. 30, no. 4, e17271, 21 p., https://doi.org/10.1111/gcb.17271.","productDescription":"e17271, 21 p.","ipdsId":"IP-160911","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17271","text":"Publisher Index Page"},{"id":465402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":921710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Romain","contributorId":304118,"corporation":false,"usgs":false,"family":"Bertrand","given":"Romain","email":"","affiliations":[{"id":65973,"text":"Universitéde Toulouse 3, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":921711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diamond, Sarah E.","contributorId":347433,"corporation":false,"usgs":false,"family":"Diamond","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":921712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lancaster, Lesley T.","contributorId":146421,"corporation":false,"usgs":false,"family":"Lancaster","given":"Lesley","email":"","middleInitial":"T.","affiliations":[{"id":12486,"text":"National Center for Ecological Analysis and Synthesis, 735 State St. Suite 300, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":921713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinsky, Malin","contributorId":191589,"corporation":false,"usgs":false,"family":"Pinsky","given":"Malin","email":"","affiliations":[],"preferred":false,"id":921714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheffers, Brett R.","contributorId":347438,"corporation":false,"usgs":false,"family":"Scheffers","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":921715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baecher, J. 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U.S. Geological Survey
384 Woods Hole Road
Woods Hole, MA 02543
An intrusion into Kīlauea’s upper East Rift Zone during June 17–19, 2007, during the 1983–2018 Pu‘u‘ō‘ō eruption, led to widespread ground cracking and a small (approximately 1,525 cubic meters) eruption on the northeast flank of Kānenuiohamo, a cone about 6 kilometers upslope from Pu‘u‘ō‘ō. Transmitted and induced very low frequency (VLF) magnetic fields were measured with a handheld VLF receiver along transects spanning the dike trace, and zones of ground cracking related to the intrusion were mapped. The locations of crack zones and the VLF receiver measurements suggest that the Father’s Day dike splayed as it approached the surface, dividing into four segments—one between Pauahi Crater and Pu‘uhuluhulu and three en echelon segments near Kānenuiohamo. The dike did not extend appreciably northeastward beyond the eruption site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245030","usgsCitation":"Orr, T.R., Kauahikaua, J.P., and Heliker, C., 2024, Using ground crack and very low frequency measurements to map the location of the June 2007 Father’s Day dike, Kīlauea Volcano: U.S. Geological Survey Scientific Investigations Report 2024–5030, 44 p., https://doi.org/10.3133/sir20245030.","productDescription":"Report: v, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153402","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499457,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116988.htm","linkFileType":{"id":5,"text":"html"}},{"id":427766,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245030/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5030"},{"id":427764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.jpg"},{"id":427769,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.XML"},{"id":427768,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5030/images"},{"id":427767,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P955VWUV","text":"USGS data release","description":"USGS data release","linkHelpText":"Ground crack, VLF measurement, and sample vesicularity data for the June 2007 Father’s Day eruption, Kīlauea Volcano"},{"id":427765,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.pdf","text":"Report","size":"8.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5030"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.4892974286579,\n 19.556742895866662\n ],\n [\n -155.4892974286579,\n 19.173678282684293\n ],\n [\n -155.024498444905,\n 19.173678282684293\n ],\n [\n -155.024498444905,\n 19.556742895866662\n ],\n [\n -155.4892974286579,\n 19.556742895866662\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Volcano Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
Drought-induced groundwater decline and warming associated with climate change are primary threats to dryland riparian woodlands. We used the extreme 2012–2019 drought in southern California as a natural experiment to assess how differences in water-use strategies and groundwater dependence may influence the drought susceptibility of dryland riparian tree species with overlapping distributions. We analyzed tree-ring stable carbon and oxygen isotopes collected from two cottonwood species (Populus trichocarpa and P. fremontii) along the semi-arid Santa Clara River. We also modeled tree source water δ18O composition to compare with observed source water δ18O within the floodplain to infer patterns of groundwater reliance. Our results suggest that both species functioned as facultative phreatophytes that used shallow soil moisture when available but ultimately relied on groundwater to maintain physiological function during drought. We also observed apparent species differences in water-use strategies and groundwater dependence related to their regional distributions. P. fremontii was constrained to more arid river segments and ostensibly used a greater proportion of groundwater to satisfy higher evaporative demand. P. fremontii maintained ∆13C at pre-drought levels up until the peak of the drought, when trees experienced a precipitous decline in ∆13C. This response pattern suggests that trees prioritized maintaining photosynthetic processes over hydraulic safety, until a critical point. In contrast, P. trichocarpa showed a more gradual and sustained reduction in ∆13C, indicating that drought conditions induced stomatal closure and higher water use efficiency. This strategy may confer drought avoidance for P. trichocarpa while increasing its susceptibility to anticipated climate warming.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035928","usgsCitation":"Williams, J., Stella, J.C., Singer, M.B., Lambert, A.M., Voelker, S.L., Drake, J.E., Friedman, J.M., Pelletier, L., Kui, L., and Roberts, D.A., 2024, Seasonal and species-level water-use strategies and groundwater dependence in dryland riparian woodlands during extreme drought: Water Resources Research, v. 60, no. 4, e2023WR035928, 19 p., https://doi.org/10.1029/2023WR035928.","productDescription":"e2023WR035928, 19 p.","ipdsId":"IP-154460","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035928","text":"Publisher Index Page"},{"id":427819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.3291956794047,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.69656575071852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jared","contributorId":298516,"corporation":false,"usgs":false,"family":"Williams","given":"Jared","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stella, John C.","contributorId":174328,"corporation":false,"usgs":false,"family":"Stella","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27417,"text":"Department of Forest and Natural Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210 USA","active":true,"usgs":false}],"preferred":false,"id":898881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Michael Bliss 0000-0002-6899-2224","orcid":"https://orcid.org/0000-0002-6899-2224","contributorId":299449,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"Bliss","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":898882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Adam M.","contributorId":335631,"corporation":false,"usgs":false,"family":"Lambert","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voelker, Steven L.","contributorId":176586,"corporation":false,"usgs":false,"family":"Voelker","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":898884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, John E.","contributorId":335632,"corporation":false,"usgs":false,"family":"Drake","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898886,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pelletier, Lissa","contributorId":298520,"corporation":false,"usgs":false,"family":"Pelletier","given":"Lissa","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898887,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kui, Li","contributorId":194515,"corporation":false,"usgs":false,"family":"Kui","given":"Li","email":"","affiliations":[],"preferred":false,"id":898888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898889,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252988,"text":"70252988 - 2024 - Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","interactions":[],"lastModifiedDate":"2024-04-16T15:35:55.516243","indexId":"70252988","displayToPublicDate":"2024-04-12T10:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","title":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","docAbstract":"Effective habitat management for rare and endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in the analyses of habitat use by wildlife, the primary focus of these models has been on generating spatial predictions. In this study, we used machine learning models in combination with simulated management actions to guide planning and inform managers. We used data from 61 whooping cranes (Grus americana) tagged with GPS telemetry collars between 2009 and 2018 near Aransas National Wildlife Refuge in coastal Texas. We included variables based on topography, land use classification, vegetation height, plant phenology, drought, storm surge events, and both wild and prescribed fires. We then built models at multiple scales: population level, home range level, and roosting and daytime within home range level. We simulated responses to the two primary management actions used to enhance whooping crane habitat on Aransas National Wildlife Refuge: prescribed fire and removal of woody vegetation. At the population and home range scales, land use classification variables had the highest importance values, whereas the combined elevation and bathymetry layer was the most important predictor at both roosting and daytime within home range scales. Our findings revealed that the effects of fire, although generally modest, varied spatially. Areas dominated by estuarine wetlands exhibited higher predicted use within the first months after a fire, whereas those dominated by palustrine wetlands were more likely to be avoided in the immediate postfire years. Our simulation of vegetation removal identified the areas on Aransas National Wildlife Refuge where whooping cranes were predicted to benefit the most if vegetation were removed. These techniques can be used by other researchers wanting to examine and predict the effects of potential management actions on target species habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4820","usgsCitation":"Lehnen, S.E., Sesnie, S., Butler, M.J., Pearse, A.T., and Metzger, K.L., 2024, Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast: Ecosphere, v. 15, no. 4, e4820, 19 p., https://doi.org/10.1002/ecs2.4820.","productDescription":"e4820, 19 p.","ipdsId":"IP-154780","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4820","text":"Publisher Index Page"},{"id":427816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.40722242363222,\n 28.90776261197753\n ],\n [\n -97.13839987001899,\n 29.222267406234465\n ],\n [\n -98.73867639073208,\n 28.864354149984962\n ],\n [\n -98.56563608351834,\n 27.049501678715416\n ],\n [\n -97.20145548476677,\n 26.91559995478883\n ],\n [\n -95.40722242363222,\n 28.90776261197753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":898862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sesnie, Steven E.","contributorId":315379,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven E.","affiliations":[{"id":68297,"text":"U.S. Fish and Wildlife Service, Division of Biological Sciences, Albuquerque, NM 87102, USA","active":true,"usgs":false}],"preferred":false,"id":898863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Matthew J.","contributorId":296149,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":898865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":898866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}