Nutrient resorption is a fundamental physiological process in plants, with important ecological controls over numerous ecosystem functions. However, the role of community assembly in driving responses of nutrient resorption to perturbation remains largely unknown. Following the Price equation framework and the Community Assembly and Ecosystem Function framework, we quantified the contribution of species loss, species gain, and shared species to the reduction of community-level nutrient resorption efficiency in response to multi-level nitrogen (N) addition in a temperate steppe, after continuous N addition for seven years. Reductions of both N and phosphorus (P) resorption efficiency (NRE and PRE, respectively) were positively correlated with N addition levels. The dissimilarities in species composition between N-enriched and control communities increased with N addition levels, and N-enriched plots showed substantial species losses and gains. Interestingly, the reduction of community-scale NRE and PRE mostly resulted from N-induced decreases in resorption efficiency for the shared species in the control and N-enriched communities. There were negative correlations between the contributions of species richness effect and species identity effect and between the number and identity of species gained for the changes in both NRE and PRE following N enrichment. By simultaneously considering N-induced changes in species composition and in species-level resorption, our work presents a more complete picture of how different community assembly processes contribute to N-induced changes in community-level resorption.
","language":"English","publisher":"Springer Nature Link","doi":"10.1007/s00442-023-05415-9","usgsCitation":"Lü, X., Reed, S.C., Hou, S., and Yang, G., 2025, Assessing community assembly controls over community-scale nutrient resorption responses to nitrogen deposition: Oecologia, v. 202, p. 549-559, https://doi.org/10.1007/s00442-023-05415-9.","productDescription":"11 p.","startPage":"549","endPage":"559","ipdsId":"IP-151130","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":494729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"202","noUsgsAuthors":false,"publicationDate":"2023-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lü, Xiao-Tao","contributorId":360504,"corporation":false,"usgs":false,"family":"Lü","given":"Xiao-Tao","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":947135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hou, Shuang-Li","contributorId":196422,"corporation":false,"usgs":false,"family":"Hou","given":"Shuang-Li","email":"","affiliations":[],"preferred":false,"id":947137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Guo-Jiao","contributorId":239888,"corporation":false,"usgs":false,"family":"Yang","given":"Guo-Jiao","email":"","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":947138,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256427,"text":"70256427 - 2025 - A self-determination approach to understanding leisure identity salience among lapsed hunters","interactions":[],"lastModifiedDate":"2025-11-18T16:36:41.815876","indexId":"70256427","displayToPublicDate":"2023-06-21T10:54:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2612,"text":"Leisure Science","active":true,"publicationSubtype":{"id":10}},"title":"A self-determination approach to understanding leisure identity salience among lapsed hunters","docAbstract":"This study extended a framework based on self-determination theory (SDT) and leisure constraints to study identity salience in lapsed hunters. Self-determination theory suggests that multiple forms of motivation influence levels of self-determination and addresses how social-contextual factors affect satisfaction of needs. Data were drawn from a survey of recently lapsed hunters in Minnesota, United States conducted during the winter of 2021 (N = 5,000) with an overall response rate of 22%. Results suggested that socio-contextual constraints were negatively associated with intrinsic motivation and support amotivation. Intrinsic motivation was positively associated with identity salience, while amotivation had a negative influence, which suggests that when the experience supports the satisfaction of an individual’s basic psychological needs, they are more likely to integrate hunting as part of their identity. These findings have implications for recruitment, retention, and reactivation (R3) efforts and highlight the importance of social-contextual factors and motivation in the context of hunting participation.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490400.2023.2222738","usgsCitation":"Smith, K., Landon, A.C., and Fulton, D.C., 2025, A self-determination approach to understanding leisure identity salience among lapsed hunters: Leisure Science, v. 47, p. 1701-1726, https://doi.org/10.1080/01490400.2023.2222738.","productDescription":"26 p.","startPage":"1701","endPage":"1726","ipdsId":"IP-142736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2023-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kyle","contributorId":280045,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam C.","contributorId":287693,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":907333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":333043,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":79716,"text":"Minnesota Cooperative Unit","active":true,"usgs":false}],"preferred":true,"id":907334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70244325,"text":"70244325 - 2025 - Pollen records, postglacial: Southeastern North America","interactions":[],"lastModifiedDate":"2025-01-13T15:59:03.617166","indexId":"70244325","displayToPublicDate":"2023-02-27T10:40:35","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pollen records, postglacial: Southeastern North America","docAbstract":"Pollen records from the unglaciated southeastern region of North America provide an overview of biogeographic changes associated with vegetational migration northward following the retreat of the Laurentide Ice Sheet. Changing insolation during the Holocene affected forest composition on the Coastal Plain, and rising sea level controlled the distribution of marsh and forested wetlands throughout the middle and late Holocene. Land clearance and management since European colonization had significant impacts on vegetation during the last few centuries. This article summarizes spatial and temporal patterns of vegetation in southeastern North America during the last 22.5 cal ka BP.
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\"}}]}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":875385,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262170,"text":"70262170 - 2025 - Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model","interactions":[],"lastModifiedDate":"2025-01-15T16:49:46.046539","indexId":"70262170","displayToPublicDate":"2023-02-21T10:44:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model","docAbstract":"Consideration of the full annual cycle population dynamics can provide useful insight for conservation efforts, but collecting data needed to estimate demographic parameters is often logistically difficult. For species that breed in remote areas, monitoring is often conducted during migratory stopover or at nonbreeding sites, and the recruitment rate of new breeding adults can be difficult to estimate directly. Here, we present an integrated population model that uses mark-resight and count data to estimate survival probability, population growth rate, and recruitment rate for an Arctic-breeding shorebird of conservation concern, the red knot (Calidris canutus rufa), from data collected during spring stopover in Delaware Bay, USA, from 2005 to 2018. At this site, red knots feed primarily on the eggs of spawning horseshoe crabs (Limulus polyphemus), a legally harvested species. We used this model to estimate the relationship between horseshoe crab abundance and red knot demographics, which informed a recent revision to the framework used to establish horseshoe crab harvest regulations. Our analysis indicates that the red knot population was most likely stable from 2005 to 2018 (average λ = 1.03, 95% credible interval [CRI]: 0.961, 1.15) despite low recruitment rates (average ρ = 0.088, 95% CRI: 0.012, 0.18). Adult survival probability was positively associated with horseshoe crab abundance in the same year (β = 0.35, 95% CRI: 0.09, 0.63), but we found no effect of horseshoe crab abundance two years previously on recruitment of new adults (β = −0.08, 95% CRI: −0.41, 0.38). Our approach demonstrates the utility of integrated population models for understanding population dynamics, even when data are only available from migratory stopover monitoring.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4439","usgsCitation":"Tucker, A.M., McGowan, C., Nuse, B., Lyons, J.E., Moore, C.T., Smith, D.R., Sweka, J., Anstead, K., DeRose-Wilson, A., and Clark, N., 2025, Estimating recruitment rate and population dynamics at a migratory stopover site using an integrated population model: Ecosphere, v. 14, no. 2, e4439, 16 p., https://doi.org/10.1002/ecs2.4439.","productDescription":"e4439, 16 p.","ipdsId":"IP-139218","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4439","text":"Publisher Index Page"},{"id":466429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.68003613362366,\n 39.75828902455723\n ],\n [\n -75.68003613362366,\n 38.72868626218502\n ],\n [\n -74.8091737193643,\n 38.72868626218502\n ],\n [\n -74.8091737193643,\n 39.75828902455723\n ],\n [\n -75.68003613362366,\n 39.75828902455723\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":923340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":923341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nuse, Bryan L.","contributorId":348305,"corporation":false,"usgs":false,"family":"Nuse","given":"Bryan L.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":923342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":923343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":923344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":923345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sweka, John A.","contributorId":348306,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923346,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anstead, Kristen A.","contributorId":348307,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen A.","affiliations":[{"id":83332,"text":"Atlantic States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":923347,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeRose-Wilson, Audrey","contributorId":348308,"corporation":false,"usgs":false,"family":"DeRose-Wilson","given":"Audrey","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":923348,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, Nigel A.","contributorId":348310,"corporation":false,"usgs":false,"family":"Clark","given":"Nigel A.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":923349,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70240684,"text":"70240684 - 2025 - Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?","interactions":[],"lastModifiedDate":"2025-02-11T15:38:29.891089","indexId":"70240684","displayToPublicDate":"2023-02-14T07:00:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?","docAbstract":"Invasion risk assessments of habitat suitability provide insight on early detection effort allocation; however, sufficient data are rarely available to inform assessments. We explored tradeoffs of leveraging big data from the National Water Quality Portal (WQP), a standardized water quality database in the United States, to inform calcium- and pH-based risk assessments of invasive mussel (Dreissena polymorpha and Dreissena rostriformis bugensis) habitat suitability in the Pacific Northwest’s Columbia River Basin. We evaluated risk assessment sensitivity to alternative metrics of summarizing WQP data, tested if the large number of WQP observations resulted in accurate risk prediction of sites lacking WQP data, and characterized the spatial distribution of suitable habitat. Risk assessments were insensitive to how data were summarized at a site. Predictive accuracy was low when interpolating risk to sites lacking data. High-risk sites based on calcium clustered in two water basins, whereas high-risk sites based on pH were at similarly high frequencies. Finally, we found that data gaps still exist in the Columbia River Basin despite the large volumes of WQP data. We conclude that WQP-based risk assessments of habitat suitability could be considered as a starting place for estimating dreissenid invasion risk within an adaptive framework, rather than as a final solution.
Introduction: Throughout their range, bighorn sheep (Ovis canadensis) populations have seen significant disease-associated declines. Unfortunately, understanding of the underlying epidemiological processes driving the disease dynamics in this species has hindered conservation efforts aimed at improving the health and long-term viability of these populations. Individual response to pathogen exposure emerges from dynamic interactions between competing evolutionary processes within the host and pathogen. The host’s adaptive immune system recognizes pathogens and mounts a defensive response. Pathogens have evolved strategies to overcome adaptive immune defenses including maintaining high genetic diversity through rapid evolution. The outcomes of this evolutionary warfare determine the success of pathogen invasion of the host and ultimately the success of conservation efforts.
Methods: During an epizootic dominated by a single strain, we explore these host-pathogen dynamics by examining the variation in effects of pathogen invasion on captive bighorn sheep with differing histories of exposure to genetically diverse strains of Mycoplasma ovipneumoniae (Movi). We monitored clinical signs of disease and sampled animals and their environment to detect spread of Movi among 37 bighorn sheep separated into nine pens based on known exposure
Results: We documented Movi transmission within and across pens and we detected Movi DNA in air, water, and invertebrate samples. Higher levels of antibody to Movi prior to the epizootic were associated with a lower likelihood of presenting clinical signs of pneumonia. Nonetheless, higher antibody levels in symptomatic individuals were associated with more severe progressive disease, increased probability and speed of pneumonia-induced mortality, and reduced likelihood of returning to a healthy state. Bighorn sheep with previous exposure to a strain other than the predominant epizootic strain were more likely to recover.
Discussion: Our results indicate that Movi-strain variability was sufficient to overwhelm the adaptive host immunological defenses. This outcome indicates, in free-ranging herds, past exposure is likely insufficient to protect bighorn sheep from infection by new Movi strains, although it influences the progression of disease and recovery within the herd. Therefore, given Movi-strain variability and the lack of immunological protection from past exposure, focusing management efforts on minimizing the introduction of Movi into bighorn herds, through separation of domestic and bighorn sheep and avoidance of management activities that create commingling of bighorn sheep carrying differing Movi strains, will likely be the most effective approach for reducing the effects of disease and achieving bighorn sheep conservation goals.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2022.1039234","usgsCitation":"Walsh, D.P., Felts, B., Cassirer, E.F., Besser, T., and Jenks, J., 2025, Host vs. pathogen evolutionary arms race: Effects of exposure history on individual response to a genetically diverse pathogen: Frontiers in Ecology and Evolution, v. 10, 1039234, 15 p., https://doi.org/10.3389/fevo.2022.1039234.","productDescription":"1039234, 15 p.","ipdsId":"IP-147044","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.1039234","text":"Publisher Index Page"},{"id":489256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, South Dakota, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.12550692958686,\n 48.622740734449025\n ],\n [\n -125.12550692958686,\n 42.255746531119684\n ],\n [\n -104.19379023399964,\n 43.101197064942625\n ],\n [\n -97.25752073214774,\n 42.79596056344036\n ],\n [\n -96.55090638798809,\n 45.96616875671981\n ],\n [\n -104.16278350002719,\n 45.839641419987615\n ],\n [\n -104.21271815015305,\n 44.95911011336172\n ],\n [\n -112.65464676168163,\n 44.983358203048724\n ],\n [\n -116.30103568420452,\n 49.06546837440046\n ],\n [\n -125.12550692958686,\n 48.622740734449025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":938700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felts, Brandi L.","contributorId":301873,"corporation":false,"usgs":false,"family":"Felts","given":"Brandi L.","affiliations":[],"preferred":false,"id":938832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":938833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besser, Thomas E.","contributorId":187454,"corporation":false,"usgs":false,"family":"Besser","given":"Thomas E.","affiliations":[],"preferred":false,"id":938834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenks, Jonathan A.","contributorId":264322,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":938835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239251,"text":"70239251 - 2025 - Haploid gynogens facilitate disomic marker development in paleotetraploid sturgeons","interactions":[],"lastModifiedDate":"2025-06-12T15:08:25.025471","indexId":"70239251","displayToPublicDate":"2022-12-01T06:46:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Haploid gynogens facilitate disomic marker development in paleotetraploid sturgeons","docAbstract":"Acipenseriformes (sturgeons and paddlefishes) are of substantial conservation concern, and development of genomic resources for these species is difficult due to past whole genome duplication. Development of disomic markers for polyploid organisms can be challenging due to difficulty in resolving alleles at a single locus from those among duplicated loci. In this study, we detail the development of disomic markers for the endangered pallid sturgeon (Scaphirhynchus albus) found in North America. One of the strategies for pallid sturgeon conservation is to stock U.S. rivers with offspring of pure pallid sturgeon, but introgression with the sympatric shovelnose sturgeon (S. platorynchus) threatens pallid sturgeon genetic integrity. Currently, 19 microsatellite loci are used to differentiate between both species and their hybrids, but the markers are insufficient to robustly identify backcrosses. We performed double digest restriction site-associated DNA sequencing (ddRADseq) on shovelnose sturgeon haploid gynogens to produce a reduced-representation genomic reference. Contiguous sequences that were heterozygous within a haploid individual were flagged as potentially encompassing multiple loci. Approximately 60 individuals of each species from two management units were sequenced, and reads were mapped to the haploid reference to identify single nucleotide polymorphisms (SNPs) at individual loci. The final data set contained 11,082 microhaplotyped loci which offer at least an order of magnitude greater resolution for species discrimination than the current panel of 19 microsatellites. These markers will be used to examine a larger sample of Scaphirhynchus individuals throughout their ranges to determine the extent and trajectory of hybridization.
This report presents results from a four-year project (2018–2022) to document the effects of small, run-of-river dams and dam removal on water quality (stream temperature and dissolved oxygen (DO)), aquatic macroinvertebrates, and fishes. Temperature and DO are critical water quality parameters that shape biogeochemical processes and biotic assemblages in streams. Macroinvertebrate and fish assemblages can be reflective of habitat and water quality due to their diversity and sensitivity to high temperatures and low DO and are often used as indicators of ecosystem health (e.g., Clean Water Act Section 401). This study aimed to better explain the responses of these important ecological parameters to small dam removals, which may support a more comprehensive understanding of the benefits of restoration to aquatic ecosystems.
We collected pre- and post-restoration water quality data and macroinvertebrate samples at 16 small dams in Massachusetts that have been removed (10 sites) or are currently being considered for removal (6 sites). General results from these monitoring efforts indicate that:
● 15 of 16 small dams increased impoundment water temperatures and warming persisted downstream at 11 of those sites, relative to upstream. Dam removal reduced summer impoundment warming at 7 of 10 removal sites and reduced downstream warming at 5 of 10 sites. These in-stream temperature improvements occurred within 5 years after dam removal.
● 13 of 16 small dams negatively impacted dissolved oxygen (DO) concentrations within the impoundments, but the magnitude of impact varied across sites. Negative impoundment DO impacts did not consistently translate downstream, and downstream responses to dam removal were generally minimal and variable across sites. Dam removal significantly reduced negative impoundment DO impacts within 1 year after removal at 7 of 10 sites, and sites with greater pre-removal impacts experienced the greatest magnitude of DO recovery after dam removal.
● Interannual variability in dam impacts on water quality across sites suggests periods of extreme weather (i.e., droughts or high precipitation) due to climate change may exacerbate adverse impacts from run-of-river dams.
● Macroinvertebrate assemblages within dam impoundments differed from assemblages in adjacent un-impounded stream sections and exhibited a loss of sensitive organisms (an average of 17% fewer). Dam removal led to more similar macroinvertebrate assemblages throughout most stream sections, and recovery of sensitive taxa occurred relatively quickly (1-3 years).
● Fish species richness increased upstream at 2 of 10 removal sites, suggesting potential increases in fish passage from downstream reaches. However, particular species, such as American Eel (Anguilla rostrata), exhibited both positive and negative responses to dam removal across study sites. Incorporating more sites with pre-and post-dam removal fish data could allow for better understanding factors explaining site-specific differences.
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\"}}]}","noUsgsAuthors":false,"publicationDate":"2022-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Abbott, Katherine M.","contributorId":347949,"corporation":false,"usgs":false,"family":"Abbott","given":"Katherine M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":947078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith","contributorId":201434,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":947080,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232606,"text":"70232606 - 2025 - U-Pb scheelite ages of tungsten and antimony mineralization in the Stibnite-Yellow Pine district, central Idaho","interactions":[],"lastModifiedDate":"2026-02-24T15:57:41.310278","indexId":"70232606","displayToPublicDate":"2022-05-25T06:49:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb scheelite ages of tungsten and antimony mineralization in the Stibnite-Yellow Pine district, central Idaho","docAbstract":"The Stibnite-Yellow Pine district contains the largest antimony resource in the United States, as well as significant gold, and is a historic producer of tungsten. Application of in situ laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) direct dating of scheelite from two Au-Sb-W ore deposits, Yellow Pine and Hangar Flats, yielded an older group of U-Pb ages in the range of 60.0 ± 2.8 to 57.0 ± 1.1 Ma and a younger U-Pb age for scheelite intergrown with stibnite of 47.4 ± 1.1 Ma. These in situ analyses were calibrated by isotope dilution-thermal ionization mass spectrometry (ID-TIMS) U-Pb lower intercept ages of two coarsely crystalline scheelite samples that yielded ages of 57.52 ± 0.22 and 56.62 ± 0.16 Ma. Scheelite of the latter age is of sufficient quality to serve as a primary reference material for LA-ICP-MS scheelite U-Pb geochronology. The group of older U-Pb scheelite ages agrees with 40Ar/39Ar ages of 56.9 ± 1.2 to 56.38 ± 0.54 Ma on adularia from Yellow Pine and Hangar Flats, whereas the younger U-Pb scheelite age is similar to an 40Ar/39Ar age of 46.00 ± 0.40 Ma on adularia from an epithermal gold-silver deposit in the adjacent Thunder Mountain caldera. Our results indicate that the main stage of tungsten mineralization occurred at ca. 57 Ma, whereas the main stage of antimony mineralization occurred at ca. 47 Ma—thereby providing first-time age constraints for antimony and tungsten mineralization in the Stibnite-Yellow Pine district.
Conservation of Arctic fish species is challenging partly due to our limited ability to track fish through time and space, which constrains our understanding of life history diversity and lifelong habitat use. Broad Whitefish (Coregonus nasus) is an important subsistence species for Alaska’s Arctic Indigenous communities, yet little is known about life history diversity, migration patterns, and freshwater habitat use. Using laser ablation Sr isotope otolith microchemistry, we analyzed Colville River Broad Whitefish 87Sr/86Sr chronologies (n = 61) to reconstruct movements and habitat use across the lives of individual fish. We found evidence of at least six life history types, including three anadromous types, one semi-anadromous type, and two nonanadromous types. Anadromous life history types comprised a large proportion of individuals sampled (collectively, 59%) and most of these (59%) migrated to sea between ages 0–2 and spent varying durations at sea. The semi-anadromous life history type comprised 28% of samples and entered marine habitat as larvae. Nonanadromous life history types comprised the remainder (collectively, 13%). Otolith 87Sr/86Sr data from juvenile and adult freshwater stages suggest that habitat use changed in association with age, seasons, and life history strategies. This information on Broad Whitefish life histories and habitat use across time and space will help managers and conservation planners better understand the risks of anthropogenic impacts and help conserve this vital subsistence resource.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0259921","usgsCitation":"Leppi, J., Rinella, D., Wipfli, M.S., Brown, R., Spaleta, K., and Whitman, M., 2025, Strontium isotopes reveal diverse life history variations, migration patterns, and habitat use for Broad Whitefish (Coregonus nasus) in Arctic, Alaska: PLoS ONE, v. 17, no. 5, e0259921, 23 p., https://doi.org/10.1371/journal.pone.0259921.","productDescription":"e0259921, 23 p.","ipdsId":"IP-130266","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489729,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0259921","text":"Publisher Index Page"},{"id":486220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Central Beaufort Sea region study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.4844861317618,\n 71.33547921153408\n ],\n [\n -165.4844861317618,\n 67.76058936865724\n ],\n [\n -141.04895393727227,\n 67.76058936865724\n ],\n [\n -141.04895393727227,\n 71.33547921153408\n ],\n [\n -165.4844861317618,\n 71.33547921153408\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Leppi, Jason C.","contributorId":355578,"corporation":false,"usgs":false,"family":"Leppi","given":"Jason C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":937682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rinella, Daniel J.","contributorId":355579,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel J.","affiliations":[{"id":81169,"text":"Fish and Wildlife Field Conservation Office","active":true,"usgs":false}],"preferred":false,"id":937683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Randy J.","contributorId":355580,"corporation":false,"usgs":false,"family":"Brown","given":"Randy J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spaleta, Karen J.","contributorId":355581,"corporation":false,"usgs":false,"family":"Spaleta","given":"Karen J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":937686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitman, Matthew S.","contributorId":355582,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew S.","affiliations":[{"id":84781,"text":"Arctic District Office","active":true,"usgs":false}],"preferred":false,"id":937687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263078,"text":"70263078 - 2025 - Mid-Atlantic big brown and eastern red bats: Relationships between acoustic activity and reproductive phenology","interactions":[],"lastModifiedDate":"2025-01-29T15:21:35.716674","indexId":"70263078","displayToPublicDate":"2022-04-21T09:11:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Atlantic big brown and eastern red bats: Relationships between acoustic activity and reproductive phenology","docAbstract":"Acoustic data are often used to describe bat activity, including habitat use within the summer reproductive period. These data inform management activities that potentially impact bats, currently a taxa of high conservation concern. To understand the relationship between acoustic and reproductive timing, we sampled big brown bats (Eptesicus fuscus) and eastern red bats (Lasiurus borealis) on 482 mist-netting and 35,410 passive acoustic sampling nights within the District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia, 2015–2018. We documented the proportion of female, pregnant, lactating, and juvenile big brown and eastern red bats within each mist-net sampling event and calculated locally estimated non-parametric scatterplot smoothing (LOESS) lines for each reproductive and acoustic dataset. We compared the peak in acoustic activity with the peaks of each reproductive condition. We determined that the highest levels of acoustic activity within the maternity season were most associated with the period wherein we captured the highest proportions of lactating bats, not juvenile bats, as often assumed.
","language":"English","publisher":"MDPI","doi":"10.3390/d14050319","usgsCitation":"Deeley, S., Ford, W., Kalen, N., Freeze, S.R., St. Germain, M., Muthersbaugh, M., Barr, E., Kniowski, A., Silvis, A., and De La Cruz, J., 2025, Mid-Atlantic big brown and eastern red bats: Relationships between acoustic activity and reproductive phenology: Diversity, v. 14, no. 5, 319, 10 p., https://doi.org/10.3390/d14050319.","productDescription":"319, 10 p.","ipdsId":"IP-121293","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d14050319","text":"Publisher Index Page"},{"id":481450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.25530015178774,\n 36.70653171645171\n ],\n [\n -75.9946912821696,\n 37.10180526805351\n ],\n [\n -75.19504161789322,\n 38.36836358051259\n ],\n [\n -76.48701828029624,\n 38.818266151495564\n ],\n [\n -76.2031303760896,\n 39.73786499844381\n ],\n [\n -77.69708409926074,\n 40.137693355107004\n ],\n [\n -79.44015181682143,\n 39.526196534839116\n ],\n [\n -79.80681382582783,\n 38.159439528815355\n ],\n [\n -80.83452329797606,\n 37.36299701483496\n ],\n [\n -82.04438843121486,\n 37.43818246197527\n ],\n [\n -83.63369764586643,\n 36.61527852888986\n ],\n [\n -82.51056571837813,\n 36.620894905645116\n ],\n [\n -81.33158688038374,\n 36.697047413041055\n ],\n [\n -79.25530015178774,\n 36.70653171645171\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Deeley, Sabrina","contributorId":350177,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":925467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. 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Specifically, we tested the effect of medium replacement frequency and antifungal (Amphotericin B) concentrations on risk of fungal contamination and transformation success of two species, Alasmidonta heterodon and congener, Alasmidonta undulata. We observed a trend of increased contamination risk in treatment groups that received medium replacements every 1 or 2 days (vs. every 3 days), but this trend was not statistically significant. We found that contamination risk differed significantly across Amphotericin B concentrations. Although contamination severity reduced transformation success, we found no significant difference in transformation success based on medium replacement frequency. Amphotericin B concentration was negatively correlated with transformation success, suggesting toxicity at higher concentrations. Additionally, we identified the fungal pathogen (Candida parapsilosis), the first knowledge of this fungus during mussel culture. Our findings suggest that low contamination results in high probability for transformation success; however, there is a tradeoff in higher concentrations of Amphotericin B. This study offers new ideas for improving mussel propagation techniques that may better control fungal contamination and increase transformation success.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-022-04865-1","usgsCitation":"Ryan, J., Roy, A.H., Hazelton, P., Perkins, D., Warren, T., Walsh, C., and Wick, R., 2025, Assessing methods for mitigating fungal contamination in freshwater mussel in vitro propagation: Hydrobiologia, v. 849, p. 2487-2501, https://doi.org/10.1007/s10750-022-04865-1.","productDescription":"15 p.","startPage":"2487","endPage":"2501","ipdsId":"IP-130200","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.90052604994074,\n 43.07411667175094\n ],\n [\n -73.63494154119466,\n 41.88903065318709\n ],\n [\n -76.9514485257531,\n 38.493648098761916\n ],\n [\n -78.3888770730752,\n 34.15440116334608\n ],\n [\n -77.24624008006496,\n 33.63260221330839\n ],\n [\n -69.44388839423355,\n 41.553363777744096\n ],\n [\n -70.90052604994074,\n 43.07411667175094\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"849","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Jennifer E.","contributorId":349576,"corporation":false,"usgs":false,"family":"Ryan","given":"Jennifer E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":349577,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":924483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, David L.","contributorId":349578,"corporation":false,"usgs":false,"family":"Perkins","given":"David L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Timothy","contributorId":349579,"corporation":false,"usgs":false,"family":"Warren","given":"Timothy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Claire","contributorId":349580,"corporation":false,"usgs":false,"family":"Walsh","given":"Claire","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wick, Robert","contributorId":349581,"corporation":false,"usgs":false,"family":"Wick","given":"Robert","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924487,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262048,"text":"70262048 - 2025 - Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","interactions":[],"lastModifiedDate":"2025-01-10T16:48:44.753399","indexId":"70262048","displayToPublicDate":"2022-03-17T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","docAbstract":"The proliferation of energy rights-of-way (pipelines and powerlines; ROWs) in the central Appalachian region has prompted wildlife management agencies to consider ways to use these features to manage and conserve at-risk songbird species. However, little empirical evidence exists regarding best management strategies to enhance habitat surrounding ROWs for the songbird community during stopover or breeding periods. We used a before-after-control-impact design to study cut-back border (linear tree cuttings along abrupt forest edges) harvest width (15 m, 30 m, and 45 m wide into the forest) and harvest intensity (14 m2/ha and 4.5 m2/ha basal area retention) prescriptions along ROWs and assessed their effects on mature forest and young forest songbird species and avian guilds (forest gap habitat, forest interior habitat, young forest habitat, and species of regional conservation priority) up to two years after treatment throughout West Virginia. Species richness during the spring stopover period initially decreased at one-year post-treatment but returned to pre-treatment levels by two-year post-treatment. Breeding season responses to cut-back border treatments varied across harvest width, harvest intensity, and time, but all responses of focal species abundance and guild richness were neutral or positive. Cut-back border harvest intensity had a stronger influence (i.e., more positive responses) than harvest width on breeding focal species abundances and guild richness. For harvest intensity, the more intense, 4.5 m2/ha retention treatment had a stronger influence (i.e., more positive responses) than the less intense, 14 m2/ha retention treatment. For harvest width, the narrowest treatment (15-m wide) had the strongest influence (i.e., more positive responses) of all width treatments, followed by the widest (45-m wide treatment) with the least influence from the 30-m wide treatment. Abundances and richness increased from pre-treatment to two-year post-treatment across all species and guilds that exhibited a response. These results suggest that cut-back borders increase breeding season habitat suitability along ROWs for the mature forest and young forest songbird community as well as for species of regional conservation priority in the short-term. These findings can aid development of management guidelines for the forest songbird community along abrupt forest edges of man-made habitat features in forest-dominated landscapes.
","language":"English","publisher":"Europe PMC","doi":"10.1002/eap.2540","usgsCitation":"Margenau, E.L., Wood, P.B., and Rota, C., 2025, Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes: Ecological Applications, v. 32, no. 3, e2540, 17 p., https://doi.org/10.1002/eap.2540.","productDescription":"e2540, 17 p.","ipdsId":"IP-128489","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West 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bird groups due to substantial degradation of native grassland habitats. However, the current network of grassland conservation areas may not be adequate for halting population declines and biodiversity loss. Here, we evaluate a network of grassland conservation areas within Wisconsin, U.S.A., that includes both large Focal Landscapes and smaller targeted conservation areas (e.g., Grassland Bird Conservation Areas, GBCAs) established within them. To date, this conservation network has lacked baseline information to assess whether the current placement of these conservation areas aligns with population hot spots of grassland-dependent taxa. To do so, we fitted data from thousands of avian point-count surveys collected by citizen scientists as part of Wisconsin's Breeding Bird Atlas II with multinomial N-mixture models to estimate habitat–abundance relationships, develop spatially explicit predictions of abundance, and establish ecological baselines within priority conservation areas for a suite of obligate grassland songbirds. Next, we developed spatial randomization tests to evaluate the placement of this conservation network relative to randomly placed conservation networks. Overall, less than 20% of species statewide populations were found within the current grassland conservation network. Spatial tests demonstrated a high representation of this bird assemblage within the entire conservation network, but with a bias toward birds associated with moderately tallgrasses relative to those associated with shortgrasses or tallgrasses. We also found that GBCAs had higher representation at Focal Landscape rather than statewide scales. Here, we demonstrated how combining citizen science data with hierarchical modeling is a powerful tool for estimating ecological baselines and conducting large-scale evaluations of an existing conservation network for multiple grassland birds. Our flexible spatial randomization approach offers the potential to be applied to other protected area networks and serves as a complementary tool for conservation planning efforts globally.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8270","usgsCitation":"Nunes, L.A., Ribic, C., and Zuckerberg, B., 2025, Identifying mismatches between conservation area networks and vulnerable populations using spatial randomization: Ecology and Evolution, v. 11, no. 22, p. 16006-16020, https://doi.org/10.1002/ece3.8270.","productDescription":"15 p.","startPage":"16006","endPage":"16020","ipdsId":"IP-126101","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497717,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8270","text":"Publisher Index Page"},{"id":497474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Central Wisconsin Grasslands Conservation Area, Southwest Grasslands and Stream Conservation Area, Western Prairie Habitat Restoration Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.79195210637957,\n 44.827258718630105\n ],\n [\n -91.41144360585636,\n 43.85420962467394\n ],\n [\n -91.08303881583507,\n 42.83204929697988\n ],\n [\n -90.58076409826324,\n 42.48980507075734\n ],\n [\n -89.31258381269711,\n 42.531068987157965\n ],\n [\n -89.424469717728,\n 44.894480414879325\n ],\n [\n -92.79195210637957,\n 44.827258718630105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"22","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nunes, Laura A.","contributorId":363905,"corporation":false,"usgs":false,"family":"Nunes","given":"Laura","middleInitial":"A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":952097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuckerberg, Benjamin","contributorId":363908,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":952098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262519,"text":"70262519 - 2025 - What have we lost? Modeling dam impacts on American shad populations through their native range","interactions":[],"lastModifiedDate":"2025-01-23T18:02:41.609727","indexId":"70262519","displayToPublicDate":"2021-10-24T11:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"What have we lost? Modeling dam impacts on American shad populations through their native range","docAbstract":"American shad (Alosa sapidissima) are native to the east coast of North America from the St. Johns River, Florida, to the St. Lawrence River region in Canada. Since the 1800s, dams have reduced access to spawning habitat. To assess the impact of dams, we estimated the historically accessed spawning habitat in coastal rivers (485,618 river segments with 21,113 current dams) based on (i) width, (ii) distance from seawater, and (iii) slope (to exclude natural barriers to migration) combined with local knowledge. Estimated habitat available prior to dam construction (2,752 km2) was 41% greater than current fully accessible habitat (1,639 km2). River-specific population models were developed using habitat estimates and latitudinally appropriate life history parameters (e.g., size at age, maturity, iteroparity). Estimated coast-wide annual production potential was 69.1 million spawners compared with a dammed scenario (41.8 million spawners). Even with optimistic fish passage performance assumed for all dams (even if passage is completely absent), the dam-imposed deficit was alleviated by fewer than 3 million spawners. We estimate that in rivers modeled without dams, 98,000 metric tons of marine sourced biomass and nutrients were annually delivered, 60% of which was retained through carcasses, gametes and metabolic waste. Damming is estimated to have reduced this by more than one third. Based on our results, dams represent a significant and acute constraint to the population and, with other human impacts, reduce the fishery potential and ecological services attributed to the species.
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Modeling dam impacts on American shad populations through their native range: Frontiers in Marine Science, v. 8, 734213, 23 p., https://doi.org/10.3389/fmars.2021.734213.","productDescription":"734213, 23 p.","ipdsId":"IP-131060","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.734213","text":"Publisher Index Page"},{"id":481057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -56.28219724835304,\n 51.669977422737105\n ],\n [\n -67.58323441275405,\n 50.88517823694593\n ],\n [\n -75.47655261205108,\n 44.788885115920294\n ],\n [\n -78.80188471400243,\n 40.10295269998778\n ],\n [\n -78.42083873696455,\n 36.01921260607415\n ],\n [\n -82.94641561076531,\n 32.75686616137071\n ],\n [\n -80.74112054616836,\n 27.66399349231928\n ],\n [\n -79.96534810037133,\n 29.923339649669487\n ],\n [\n -74.89083345921267,\n 35.07101636720273\n ],\n [\n -72.38821391976802,\n 39.93977209782662\n ],\n [\n -58.55637489176931,\n 46.202660856570446\n ],\n [\n -56.28219724835304,\n 51.669977422737105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":924425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stich, Daniel S.","contributorId":280276,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":33660,"text":"SUNY Oneonta","active":true,"usgs":false}],"preferred":false,"id":924430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Samuel G.","contributorId":276396,"corporation":false,"usgs":false,"family":"Roy","given":"Samuel G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Michael M.","contributorId":280279,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheehan, Timothy F","contributorId":215995,"corporation":false,"usgs":false,"family":"Sheehan","given":"Timothy","email":"","middleInitial":"F","affiliations":[{"id":39347,"text":"NOAA Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":924428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924429,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266304,"text":"70266304 - 2025 - Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners","interactions":[],"lastModifiedDate":"2025-05-02T15:37:57.927326","indexId":"70266304","displayToPublicDate":"2021-08-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners","docAbstract":"There is an imperative for conservation practitioners to facilitate the ability of biodiversity to adapt to accelerating environmental change. Evolutionary biologists are well-positioned to inform the development of evidence-based management strategies that will effectively support the adaptive capacity of species and ecosystems. Conservation practitioners increasingly accept that management practices must change, but harbor concerns about how to apply recommended changes to their management contexts. Given the goodwill from both conservation practitioners and evolutionary biologists, we believe there is opportunity to accelerate the required changes by promoting closer collaboration between these two groups. We highlight how evolutionary biologists can harness lessons learned via the evidence-based conservation movement to make a substantive contribution to the development of effective conservation management practices. These lessons include: 1) recognising why practitioners do and do not use scientific evidence; 2) building an evidence base that will influence management decisions; 3) translating theory into a format that conservation practitioners can use to inform management practices; and 4) developing strategies for effective knowledge exchange. Although efforts will be required on both sides, we believe there are rewards for both practitioners and evolutionary biologists, not least of which is fostering practices that will help support the long-term persistence of species.","language":"English","publisher":"Wiley","doi":"10.1111/eva.13266","usgsCitation":"Cook, C.N., Beever, E.A., Thurman, L., Thompson, L., Gross, J.E., Whiteley, A., Nicotra, A., Szymanski, J., Botero, C., Hall, K., Hoffmann, A., Schuurman, G.W., and Sgro, C., 2025, Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners: Evolutionary Applications, v. 14, no. 8, p. 1969-1979, https://doi.org/10.1111/eva.13266.","productDescription":"11 p.","startPage":"1969","endPage":"1979","ipdsId":"IP-123341","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13266","text":"Publisher Index Page"},{"id":485336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Carly N.","contributorId":204315,"corporation":false,"usgs":false,"family":"Cook","given":"Carly","email":"","middleInitial":"N.","affiliations":[{"id":36914,"text":"School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia","active":true,"usgs":false}],"preferred":false,"id":935483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science 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A.","contributorId":354359,"corporation":false,"usgs":false,"family":"Szymanski","given":"Jennifer A.","affiliations":[],"preferred":false,"id":935490,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Botero, Carlos","contributorId":354353,"corporation":false,"usgs":false,"family":"Botero","given":"Carlos","affiliations":[],"preferred":false,"id":935491,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hall, Kimberley","contributorId":354354,"corporation":false,"usgs":false,"family":"Hall","given":"Kimberley","affiliations":[],"preferred":false,"id":935492,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hoffmann, Ary A.","contributorId":354360,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Ary A.","affiliations":[],"preferred":false,"id":935493,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":935494,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sgro, Carla","contributorId":354351,"corporation":false,"usgs":false,"family":"Sgro","given":"Carla","affiliations":[],"preferred":false,"id":935495,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70269697,"text":"70269697 - 2025 - Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System","interactions":[],"lastModifiedDate":"2025-07-30T14:37:59.419554","indexId":"70269697","displayToPublicDate":"2021-02-01T09:32:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8912,"text":"International Journal of Applied Earth Observations and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System","docAbstract":"The large groundwater reserves of the Urucuia Aquifer System (UAS) enabled agricultural development and economic growth in the western Bahia State, in northeastern Brazil. Over the last several years, concern has grown around the aquifer’s diminishing water levels, and water balance (WB) studies are in demand. Considering the lack of measured actual evapotranspiration (ETa), a major component of the water cycle, this work uses the Operational Simplified Surface Energy Balance (SSEBop) model to estimate ETa, and compares it to basin-scale estimates from the Soil Moisture Accounting Procedure (SMAP) monthly model and from an annual WB closure method, based on gridded meteorological data and the Gravity Recovery and Climate Experiment (GRACE) product. Additionally, a comparative assessment of different versions of the SSEBop parameterization was performed. Moderate Resolution Imaging Spectroradiometer (MODIS) imagery was used to implement eight different versions of the SSEBop algorithm over the UAS between 2000 and 2013. SSEBop and SMAP ETa yielded similar seasonal patterns, with correlation coefficient (r) up to 0.65, mean difference (MD) of 0.8 mm/month and mean absolute difference (MAD) of 18.5 mm/month. Comparison of SSEBop annual ETa estimates to annual SMAP and WB closure estimates yielded low MD (12.1 and −7.3 mm/year, respectively) and MAD (82.5 and 82.8 mm/year, respectively), but also low r values (0.00 and 0.37, respectively). The comparison of the different SSEBop versions indicated the need to incorporate a calibration step of the aerodynamic heat resistance (rah) parameter. SSEBop results were also used for land cover and drought monitoring. Analysis indicates that agriculture, associated with an increasing trend of atmospheric evaporative demand, is responsible for the decrease in groundwater levels and streamflow in the studied time period.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2021.102298","usgsCitation":"Comini de Andrade, B., de Andrade Pinto, E., Ruhoff, A., and Senay, G.B., 2025, Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System: International Journal of Applied Earth Observations and Geoinformation, v. 98, 102298, 16 p., https://doi.org/10.1016/j.jag.2021.102298.","productDescription":"102298, 16 p.","ipdsId":"IP-125399","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2021.102298","text":"Publisher Index Page"},{"id":493182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Urucuia Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -43,\n -9.75\n ],\n [\n -47,\n -9.75\n ],\n [\n -47,\n -16\n ],\n [\n -43,\n -16\n ],\n [\n -43,\n -9.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"98","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Comini de Andrade, Bruno César","contributorId":358913,"corporation":false,"usgs":false,"family":"Comini de Andrade","given":"Bruno César","affiliations":[{"id":85711,"text":"Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.","active":true,"usgs":false}],"preferred":false,"id":944465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Andrade Pinto, Eber José","contributorId":358914,"corporation":false,"usgs":false,"family":"de Andrade Pinto","given":"Eber José","affiliations":[{"id":85714,"text":"Escola de Engenharia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, and Serviço Geológico do Brasil-CPRM, Belo Horizonte, Brazil","active":true,"usgs":false}],"preferred":false,"id":944466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruhoff, Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":944467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266307,"text":"70266307 - 2025 - Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","interactions":[],"lastModifiedDate":"2025-05-02T15:34:19.960507","indexId":"70266307","displayToPublicDate":"2020-05-20T10:30:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","docAbstract":"New data including measured reflectance (%Ro), programmed open-system pyrolysis data, and kerogen elemental analyses obtained on the Mississippian Barnett Shale in the Fort Worth Basin, Texas, indicate that secondary-gas generation starts at 1.5% Ro and not at the previously prescribed 1.1% Ro. Oil-cracking kinetic parameters derived from pyrolysis experiments in the presence and absence of water indicate that secondary-gas generation will not occur at a thermal maturity as low as 1.1% Ro and requires a minimum thermal maturity of 1.5% Ro. This difference is especially important in using the Barnett Shale as an analog for evaluating other possible shale-gas plays. The new reflectance measurements have a good relationship with hydrogen indices (HIs) and compare well with other published data sets. However, the relationship does not compare well with the previously published data used to prescribe 1.1% Ro as the start of secondary-gas generation in the Barnett Shale. This discrepancy is attributed to differences in measured %Ro values and not attributed to differences in the HI values. Lack of publicly available information on the previously reported %Ro values makes it difficult to ascertain the reason for their lower values. These lower %Ro values also have impact on the previously prescribed relationship for estimating %Ro from the temperature at maximum yield by programmed open-system pyrolysis (Tmax). As a result, the new data do not agree with a previously described relationship, and the considerable scatter makes the new relationship unreliable. However, the relationship between the HI and %Ro has less scatter, which indicates that HI offers a better proxy in calculating %Ro than Tmax for the Barnett Shale. Comparison of various programmed open-system pyrolysis methods (i.e., Rock-Eval II, Rock-Eval 6, Source Rock Analyzer, and Hawk) indicates that variations in HI are within ±10% of one another. An HI of at least 44 mg/g total organic carbon is prescribed as a more certain limit for the start of secondary-gas generation and prospective in situ gas-shale accumulations.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01251716053","usgsCitation":"Lewan, M., and Pawlewicz, M., 2025, Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas: AAPG Bulletin, v. 101, no. 12, p. 1945-1970, https://doi.org/10.1306/01251716053.","productDescription":"26 p.","startPage":"1945","endPage":"1970","ipdsId":"IP-074437","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Fort Worth basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100,\n 34\n ],\n [\n -100,\n 30.5\n ],\n [\n -96.9,\n 30.5\n ],\n [\n -96.9,\n 34\n ],\n [\n -100,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"101","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, M.J.","contributorId":354949,"corporation":false,"usgs":false,"family":"Pawlewicz","given":"M.J.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":936688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262508,"text":"70262508 - 2025 - High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","interactions":[],"lastModifiedDate":"2025-01-17T15:41:36.28869","indexId":"70262508","displayToPublicDate":"2017-08-24T09:30:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16133,"text":"Journal of Volcanology and Geothermal Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","title":"High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","docAbstract":"The Auckland Volcanic Field (AVF), which last erupted ca. 550 years ago, is a late Quaternary monogenetic basaltic volcanic field (ca. 500 km2) in the northern North Island of New Zealand. Prior to this study only 12 out of the 53 identified eruptive centres of the AVF had been reliably dated. Careful sample preparation and 40Ar/39Ar analysis has increased the number of well-dated centres in the AVF to 35. The high precision of the results is attributed to selection of fresh, non-vesicular, non-glassy samples from lava flow interiors. Sample selection was coupled with separation techniques that targeted only the groundmass of samples with < 5% glass and with groundmass feldspars > 10 μm wide, coupled with ten-increment furnace step-heating of large quantities (up to 200 mg) of material. The overall AVF age data indicate an onset at 193.2 ± 2.8 ka, an apparent six-eruption flare-up from 30 to 34 ka, and a ≤ 10 kyr hiatus between the latest and second-to-latest eruptions. Such non-uniformity shows that averaging the number of eruptions over the life-span of the AVF to yield a mean eruption rate is overly simplistic. Together with large variations in eruption volumes, and the large sizes and unusual chemistry within the latest eruptions (Rangitoto 1 and Rangitoto 2), our results illuminate a complex episodic eruption history. In particular, the rate of volcanism in AVF has increased since 60 ka, suggesting that the field is still in its infancy. Multiple centres with unusual paleomagnetic inclination and declination orientations are confirmed to fit into a number of geomagnetic excursions, with five identified in the Mono Lake, two within the Laschamp, one within the post-Blake or Blake, and two possibly within the Hilina Pali.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.05.033","usgsCitation":"Leonard, G.S., Calvert, A.T., Hopkins, J., Wilson, C., Smid, E., Lindsay, J., and Champion, D.E., 2025, High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations: Journal of Volcanology and Geothermal Resources, v. 343, p. 60-74, https://doi.org/10.1016/j.jvolgeores.2017.05.033.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-083682","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":480735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Auckland Volcanic Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 174.3891787593065,\n -36.79183242491496\n ],\n [\n 174.3891787593065,\n -37.16080256436752\n ],\n [\n 175.00388259163446,\n -37.16080256436752\n ],\n [\n 175.00388259163446,\n -36.79183242491496\n ],\n [\n 174.3891787593065,\n -36.79183242491496\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leonard, Graham S.","contributorId":127469,"corporation":false,"usgs":false,"family":"Leonard","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":5111,"text":"GNS Science, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Jenni L","contributorId":349547,"corporation":false,"usgs":false,"family":"Hopkins","given":"Jenni L","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":924406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Colin J.N. 0000-0001-7565-0743","orcid":"https://orcid.org/0000-0001-7565-0743","contributorId":205373,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin J.N.","affiliations":[{"id":37090,"text":"Victoria University: Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smid, Elaine R. 0000-0003-1243-8619","orcid":"https://orcid.org/0000-0003-1243-8619","contributorId":349548,"corporation":false,"usgs":false,"family":"Smid","given":"Elaine R.","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Champion, Duane E. 0000-0001-7854-9034","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":345150,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924410,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261981,"text":"70261981 - 2024 - Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","interactions":[],"lastModifiedDate":"2025-01-07T14:54:29.601342","indexId":"70261981","displayToPublicDate":"2025-09-13T08:43:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19881,"text":"Metabarcoding & Metagenomics","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","docAbstract":"Unprecedented rates of biodiversity loss and ecosystem function necessitate the use of rapid, efficacious, and cost-effective biomonitoring tools. The combination of autonomous samplers and high throughput sequencing (i.e., “metabarcoding”) of environmental DNA (eDNA) samples enables characterization of entire communities at high frequency and can be an important tool for conservation and management, allowing researchers to track fluctuations in biodiversity. We deployed two autonomous samplers at two U.S. Geological Survey streamgage sites in the upper Snake River (Wyoming and Idaho, USA) to collect eDNA samples from July-September 2021 and 2022 to characterize fish diversity. We used a probabilistic approach to evaluate the effects of water temperature, water discharge, filter pore size, water volume filtered, number of samples collected, timing, and primers on the probability of detecting eDNA from fish species known to be present. We detected eDNA from 13/15 species present in these areas of the Snake River. Overall, we did not find evidence that filter pore size, water volume filtered, water discharge, and water temperature affected the probability of detecting fish species’ eDNA. By contrast, primers and sampling day affected fish detection probabilities, indicating that primer choice and sampling day can either over- or under- estimate species diversity. These results indicate that users would ideally consider sampling on non-consecutive days and which primer set will maximize species detections.
","language":"English","publisher":"Pensoft","doi":"10.3897/mbmg.8.122375","usgsCitation":"Jones-Slobodian, D.N., Augustine, B., Hutchins, P., Birch, J.M., Yamahara, K., Jensen, S.L., Richardson, R.T., Trott, R., Campbell, J., Barnhart, E.P., and Sepulveda, A., 2024, Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities: Metabarcoding & Metagenomics, v. 8, e122375, 23 p., https://doi.org/10.3897/mbmg.8.122375.","productDescription":"e122375, 23 p.","ipdsId":"IP-161729","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/mbmg.8.122375","text":"Publisher Index Page"},{"id":465748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":922532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birch, James M.","contributorId":255728,"corporation":false,"usgs":false,"family":"Birch","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":922534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamahara, Kevan","contributorId":239853,"corporation":false,"usgs":false,"family":"Yamahara","given":"Kevan","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":922535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Scott L.","contributorId":207327,"corporation":false,"usgs":false,"family":"Jensen","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":922536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":922537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":922538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Campbell, James 0000-0002-2760-3149","orcid":"https://orcid.org/0000-0002-2760-3149","contributorId":218045,"corporation":false,"usgs":true,"family":"Campbell","given":"James","email":"","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922539,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922540,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922541,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268678,"text":"70268678 - 2024 - U.S.-Mexico Borderland & vegetation community map","interactions":[],"lastModifiedDate":"2026-01-16T16:14:40.748506","indexId":"70268678","displayToPublicDate":"2025-06-01T10:10:41","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S.-Mexico Borderland & vegetation community map","docAbstract":"People on both sides of the United States-Mexico border need a high-resolution, binational vegetation community map that spans the entire United States-Mexico borderlands. Traditionally, mapping efforts in this region were impeded by complex logistics related to the international border, differing national needs and plans, and resource allocations and priorities. To address this need, scientists from the U.S. Geological Survey (USGS) Southwest Biological Science Center partnered with the Sonoran Joint Venture, the U.S. Fish and Wildlife Service (FWS) Migratory Bird Program, data engineers from the Department of Biosystems Engineering at the University of Arizona, and collaborators from the Wildlands Network, the Borderlands Program to produce the first prototype land cover map within the overlapping Mojave Desert, Sonoran Desert, and the North American Bird Conservation Initiative’s Bird Conservation Region 33 (BCR33) using Landsat satellite data. BCR33 is an area of high biodiversity, providing habitat for bird species of concern and other wildlife. The land cover map supports FWS recovery plan efforts related to conservation planning activities for many species, including Yellow-billed Cuckoo (Coccyzus americanus), Cactus Ferruginous Pygmy-Owl (Glaucidium brasilianum cactorum), Southwestern Willow Flycatcher (Empidonax traillii extimus), Yuma Ridgway’s Rail (Rallus obsoletus yumanensis), Bendire’s thrasher (Toxostoma bendirei), LeConte’s thrasher (Toxostoma lecontei), Masked Bobwhite (Colinus virginianus ridgwayi), jaguar (Panthera onca), and endangered plants such as Bartram’s stonecrop (Graptopetalum bartramii) and the Pima pineapple cactus (Coryphantha robustispina ssp. robustispina). In 2024, a Phase-II map for the full BCR33 region was completed, increasing the understanding of the binational nature of natural communities. The published map and associated paper can be found here.
","language":"English","publisher":"Department of the Interior","usgsCitation":"Nagler, P.L., 2024, U.S.-Mexico Borderland & vegetation community map, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169494","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491564,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/us-mexico-borderland-and-vegetation-community-map"},{"id":498746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Borderland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.10014888935096,\n 34.16115185091701\n ],\n [\n -116.10014888935096,\n 28.217554494522687\n ],\n [\n -109.77287116074022,\n 28.217554494522687\n ],\n [\n -109.77287116074022,\n 34.16115185091701\n ],\n [\n -116.10014888935096,\n 34.16115185091701\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941624,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259608,"text":"70259608 - 2024 - Geophysical identification of potential groundwater – surface water interactions in the Bonita Peak Mining District, San Juan County, Colorado","interactions":[],"lastModifiedDate":"2026-04-21T16:37:51.078379","indexId":"70259608","displayToPublicDate":"2025-02-01T11:27:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-24/007","title":"Geophysical identification of potential groundwater – surface water interactions in the Bonita Peak Mining District, San Juan County, Colorado","docAbstract":"This report includes the results and interpretation of geophysical investigations to aid in the location, identification, and conceptual site model (CSM) development of the near surface groundwater and surface water hydrology of the Upper Cement Creek and California Gulch of the Animas Rivers within the Bonita Peak Mining Districts (BPMD). Mine influenced water (MIW) from numerous mine adits within the BPMD has altered the geochemistry and ecology of these ground and surface waters. Many studies of varying scales have investigated the geology, hydrogeology, geochemistry, and aqueous chemistry of these adits and impacted areas. Field investigations using non-invasive geophysical methods were conducted in the summer of 2019 to aid in identifying potential groundwater inputs to these streams and further the CSM of the near surface within and along these streams.
Two field deployments were completed in August and September of 2019. In August 2019, Phase 1 was completed using multifrequency electromagnetic induction (EMI) and thermal infrared imaging (TIR) to measure the bulk electrical conductivity, magnetic susceptibility, and the temperature response at known and suspected groundwater seeps into the Upper Cement Creek and California Gulch stretches of these alpine streams. Results and interpretation from Phase 1 were used to co-locate stretches of these streams for further detailed fiber optic distributed temperature system (FODTS) monitoring of the temperature dynamics for submeter identification of potential groundwater seeps during Phase 2. Phase 2 included additional EMI measurements, FODTS measurements, and repeated some Phase 1 measurements for improved data quality. All these data were used for the combined qualitative interpretation identifying seep locations.
The data from both Phase 1 and Phase 2 are available in the USGS data release at: https://www.sciencebase.gov/catalog/item/5f18a30082cef313ed84879b. These data include detailed near-surface electrical conductivity and magnetic susceptibility mapping, discrete TIR imaging, and several kilometers of FODTS data. These data were georeferenced and used to identify potential groundwater seeps into these streams. The results indicate a complex near surface geophysical and hydrogeologic regime. Seeps are classified and spatially correlated to the EMI, TIR, and geochemical sampling results.
This report is a thorough compilation of the geophysical field efforts in the summer of 2019, the data processing, and interpretations of these data. These data alone should not be used for final interpretations of the complex hydrogeology within these alpine systems. Rather, these data should be combined with other known data from various investigations to further refine the CSM and guide decisions for future investigations, watershed protective measures, and other site decisions. Geographical information system (GIS) layers of these results are available to project managers for such integration and combined interpretations.
","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"Werkema, D.D., Terry, N.C., Briggs, M.A., Rutila, E., and Dyment, S., 2024, Geophysical identification of potential groundwater – surface water interactions in the Bonita Peak Mining District, San Juan County, Colorado, iii, 54 p.","productDescription":"iii, 54 p.","ipdsId":"IP-166193","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":503283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503282,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://assessments.epa.gov/risk/document/&deid%3D364773"}],"country":"United States","state":"Colorado","county":"San Juan County","otherGeospatial":"Bonita Peak MIning District","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-107.5857,37.9702],[-107.5786,37.9667],[-107.5721,37.9636],[-107.5632,37.9573],[-107.5584,37.9524],[-107.5549,37.9493],[-107.5502,37.9475],[-107.5361,37.9445],[-107.5319,37.9414],[-107.5324,37.9378],[-107.5347,37.9337],[-107.5352,37.9291],[-107.5351,37.9237],[-107.532,37.9178],[-107.5278,37.9088],[-107.5247,37.9039],[-107.5212,37.9007],[-107.5211,37.8967],[-107.5279,37.8875],[-107.5324,37.8806],[-107.5329,37.8748],[-107.5317,37.8734],[-107.5305,37.8716],[-107.5204,37.8618],[-107.5179,37.8554],[-107.5184,37.8486],[-107.5176,37.84],[-107.5146,37.8342],[-107.5127,37.8288],[-107.5121,37.8265],[-107.5109,37.8256],[-107.5068,37.8243],[-107.491,37.8236],[-107.4828,37.8223],[-107.4757,37.817],[-107.4705,37.8143],[-107.4669,37.8107],[-107.4627,37.8044],[-107.4578,37.7918],[-107.457,37.785],[-107.4581,37.7791],[-107.4666,37.7668],[-107.4677,37.7645],[-107.4695,37.7645],[-107.4777,37.768],[-107.4812,37.7684],[-107.4829,37.7675],[-107.484,37.7648],[-107.4824,37.7407],[-107.4832,37.6374],[-107.6698,37.6372],[-107.6849,37.6375],[-107.6867,37.6375],[-107.9686,37.6377],[-107.9628,37.6401],[-107.96,37.6415],[-107.9583,37.6429],[-107.9572,37.6456],[-107.9572,37.6479],[-107.9579,37.6524],[-107.9604,37.6592],[-107.9629,37.6646],[-107.966,37.6718],[-107.9685,37.6777],[-107.9698,37.6822],[-107.9699,37.6867],[-107.9688,37.6899],[-107.966,37.6936],[-107.9615,37.6977],[-107.9575,37.7005],[-107.9534,37.7024],[-107.9505,37.7029],[-107.9471,37.7029],[-107.9389,37.7017],[-107.936,37.7017],[-107.9331,37.7027],[-107.9274,37.706],[-107.9239,37.7074],[-107.9181,37.7079],[-107.9135,37.7098],[-107.9094,37.7112],[-107.9049,37.7154],[-107.9014,37.7168],[-107.8968,37.7173],[-107.8904,37.717],[-107.8817,37.7162],[-107.8764,37.7163],[-107.8747,37.7172],[-107.873,37.7213],[-107.8726,37.7259],[-107.8733,37.7317],[-107.8717,37.7368],[-107.8684,37.7431],[-107.8644,37.7477],[-107.8627,37.7509],[-107.8622,37.7537],[-107.8629,37.7559],[-107.8641,37.7582],[-107.8659,37.76],[-107.8677,37.7617],[-107.8683,37.7635],[-107.8672,37.7663],[-107.8615,37.7732],[-107.8592,37.7737],[-107.854,37.7742],[-107.8493,37.7734],[-107.8446,37.7721],[-107.8423,37.7721],[-107.84,37.7726],[-107.8354,37.7767],[-107.8275,37.7859],[-107.8224,37.7915],[-107.8213,37.7928],[-107.8225,37.7955],[-107.8268,37.8063],[-107.8263,37.8082],[-107.8258,37.81],[-107.8085,37.8207],[-107.8056,37.8212],[-107.8004,37.8212],[-107.7975,37.8213],[-107.7952,37.8222],[-107.7935,37.8236],[-107.7918,37.8277],[-107.7885,37.8332],[-107.7868,37.8355],[-107.7845,37.8378],[-107.7812,37.8451],[-107.7762,37.8556],[-107.7756,37.857],[-107.7768,37.8592],[-107.7781,37.8615],[-107.7741,37.8656],[-107.7655,37.8739],[-107.7553,37.8845],[-107.7479,37.8923],[-107.7422,37.8982],[-107.7359,37.9038],[-107.7188,37.8977],[-107.7077,37.8955],[-107.7024,37.892],[-107.6977,37.8912],[-107.6942,37.8917],[-107.6897,37.8967],[-107.6879,37.8976],[-107.6862,37.899],[-107.6839,37.9],[-107.681,37.9],[-107.6682,37.9011],[-107.6595,37.9039],[-107.6514,37.9081],[-107.6422,37.9146],[-107.6394,37.9187],[-107.6389,37.9237],[-107.6404,37.9368],[-107.6405,37.9404],[-107.6407,37.9491],[-107.6385,37.9545],[-107.635,37.9586],[-107.6263,37.9588],[-107.6216,37.9588],[-107.6077,37.9636],[-107.5961,37.9669],[-107.588,37.9688],[-107.5857,37.9702]]]},\"properties\":{\"name\":\"San Juan\",\"state\":\"CO\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Werkema, Dale D.","contributorId":190401,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":915932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":915933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutila, Elizabeth 0000-0003-0288-9678","orcid":"https://orcid.org/0000-0003-0288-9678","contributorId":224637,"corporation":false,"usgs":false,"family":"Rutila","given":"Elizabeth","email":"","affiliations":[{"id":40900,"text":"Oakridge Institute for Science and Education","active":true,"usgs":false}],"preferred":false,"id":915935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dyment, Stephen","contributorId":224638,"corporation":false,"usgs":false,"family":"Dyment","given":"Stephen","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":915936,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266285,"text":"70266285 - 2024 - The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","interactions":[],"lastModifiedDate":"2025-05-02T17:42:18.707217","indexId":"70266285","displayToPublicDate":"2025-02-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","docAbstract":"Human-caused mortality can be pervasive and even highly selective for individuals in groups of cooperative breeders. Many studies of cooperative breeders, however, do not address human-caused mortality. Similarly, studies focused on the effects of human-caused mortality on wildlife populations often do not consider the ecology of cooperative breeders. We searched the literature and identified 58 studies where human-caused mortality affected a group characteristic, vital rate, or population state of a cooperative breeder. Of studies reporting population growth or decline, 80% reported a link between human-caused mortality and population declines in cooperative breeders. Such studies often did not identify the mechanism behind population declines, but 28% identified concurrent declines in adult survival and another 21% reported concurrent declines in recruitment or reproduction. There was little overlap between the cooperative breeding and human-caused mortality literatures, limiting our ability to accrue knowledge. Future work would be beneficial if it (i) identified the vital rate(s) causing population declines, (ii) leveraged management actions such as lethal removal to ask questions about the ecology of group-living in cooperative breeders, and (iii) used insights from cooperative breeding theory to inform management actions and conservation of group-living species.
","language":"English","publisher":"Wiley","doi":"10.1111/brv.13133","collaboration":"University of Idaho","usgsCitation":"Ausband, D.E., Rebholz, P.F., and Petrillo, L., 2024, The effects of human-caused mortality on mammalian cooperative breeders: A synthesis: Biological Reviews, v. 100, no. 1, p. 149-157, https://doi.org/10.1111/brv.13133.","productDescription":"9 p.","startPage":"149","endPage":"157","ipdsId":"IP-166733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13133","text":"Publisher Index Page"},{"id":485355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rebholz, Peter F.","contributorId":338402,"corporation":false,"usgs":false,"family":"Rebholz","given":"Peter","email":"","middleInitial":"F.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrillo, Lindsay","contributorId":354308,"corporation":false,"usgs":false,"family":"Petrillo","given":"Lindsay","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}