Infrasound (low frequency sound waves) can be used to monitor and characterize volcanic eruptions. However, infrasound sensors are usually placed on the ground, thus providing a limited sampling of the acoustic radiation pattern that can bias source size estimates. We present observations of explosive eruptions from a novel uncrewed aircraft system (UAS)-based infrasound sensor platform that was strategically hovered near the active vents of Stromboli volcano, Italy. We captured eruption infrasound from short-duration explosions and jetting events. While potential vertical directionality was inconclusive for the short-duration explosion, we find that jetting events exhibit vertical sound directionality that was observed with a UAS close to vertical. This directionality would not have been observed using only traditional deployments of ground-based infrasound sensors, but is consistent with jet noise theory. This proof-of-concept study provides unique information that can improve our ability to characterize and quantify the directionality of volcanic eruptions and their associated hazards.
The Sacramento–San Joaquin Delta (hereafter, “the Delta”) is one of the estuaries with the most invasive species in the world, and nonnative predators may be a major factor in the observed decline of Central Valley Chinook Salmon Oncorhynchus tshawytscha over recent decades. In order for managers to take actions that might reduce predation-related mortality for these ecologically, culturally, and economically valuable fish, it is important to understand the factors influencing the distribution and abundance of piscivores in the Delta. In this study, we used a dual-frequency identification sonar (i.e., DIDSON) to conduct mobile surveys to quantify the abundances of piscivores in the Delta. We then used these data to identify the habitat features that are correlated with the abundance of piscivores. Prior to conducting the surveys, we used DIDSON data from captured fish to develop an algorithm to distinguish piscivores from nonpiscivores with high confidence (98% accuracy). A generalized linear mixed-effects model fit to these survey data indicated that predator abundances were most associated with areas of increased submerged aquatic vegetation patches, and channels that are straighter, with increased bathymetric complexity. When applied to the entire survey area, this model was successfully able to predict known areas of high predator densities. These results indicate that one approach to reduce predator densities in key locations throughout the Delta, and improve juvenile salmonid outmigration survival, is to reduce the extent of invasive submerged aquatic vegetation. Because experimental predator removals have been largely ineffective in the Delta, efforts to manipulate habitat to discourage nonnative predator recruitment and favor native species recruitment may provide a more effective solution to improve salmonid survival rates.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10873","usgsCitation":"Henderson, M., Loomis, C., Michel, C., Smith, J., Iglesias, I., Lehman, B., and Huff, D., 2023, Estimates of predator densities using mobile DIDSON surveys: Implications for survival of Central Valley Chinook Salmon: North American Journal of Fisheries Management, v. 43, no. 3, p. 628-645, https://doi.org/10.1002/nafm.10873.","productDescription":"18 p.","startPage":"628","endPage":"645","ipdsId":"IP-145482","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10873","text":"Publisher Index Page"},{"id":433250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122,\n 38.5\n ],\n [\n -122,\n 37.25\n ],\n [\n -121,\n 37.25\n ],\n [\n -121,\n 38.5\n ],\n [\n -122,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":909952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loomis, Chris","contributorId":342274,"corporation":false,"usgs":false,"family":"Loomis","given":"Chris","email":"","affiliations":[{"id":26936,"text":"Humbolt State University","active":true,"usgs":false}],"preferred":false,"id":909953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril","contributorId":342275,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril","affiliations":[{"id":81849,"text":"NOAA-SWFSC Fisheries Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joe","contributorId":342276,"corporation":false,"usgs":false,"family":"Smith","given":"Joe","affiliations":[{"id":81850,"text":"NOAA-NWFSC Fish Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iglesias, Ilysa","contributorId":342277,"corporation":false,"usgs":false,"family":"Iglesias","given":"Ilysa","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":909956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehman, Brendan","contributorId":342279,"corporation":false,"usgs":false,"family":"Lehman","given":"Brendan","affiliations":[{"id":81849,"text":"NOAA-SWFSC Fisheries Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huff, David","contributorId":342281,"corporation":false,"usgs":false,"family":"Huff","given":"David","affiliations":[{"id":81850,"text":"NOAA-NWFSC Fish Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909958,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70241591,"text":"ofr20221058 - 2023 - Value-aligned planning objectives for restoring North Carolina aquatic resources","interactions":[],"lastModifiedDate":"2026-02-10T20:47:54.773485","indexId":"ofr20221058","displayToPublicDate":"2023-04-11T10:19:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1058","displayTitle":"Value-Aligned Planning Objectives for Restoring North Carolina Aquatic Resources","title":"Value-aligned planning objectives for restoring North Carolina aquatic resources","docAbstract":"Rapid population growth and development in the southeastern United States have resulted in substantial impairment to freshwater aquatic ecosystems. National or regional restoration policies strive to address impaired ecosystems but can suffer from inconsistent and opaque processes. The Clean Water Act, for example, establishes reallocation mechanisms to transfer ecosystem services from sites of disturbance to compensation sites to offset aquatic resource functions that are unavoidably lost through land development. However, planning for the prioritization of compensatory mitigation areas is often hampered by unstructured decision-making processes that are narrowly framed because they are not co-produced with stakeholders affected by, or having an interest in, the impacts and mitigation. This summary report represents the collaborative efforts of the U.S. Geological Survey and the North Carolina Department of Environmental Quality, Division of Mitigation Services, to co-develop an applied decision framework following the principles of structured decision-making for prioritizing watershed catchments by their potential for realizing a range of beneficial outcomes from future mitigation projects. The framework focuses on supporting the State’s nationally recognized stream and wetlands compensatory mitigation program by clarifying a discrete decision problem and specifying agency and stakeholder values to formulate fundamental and means objectives for prioritizing restoration sites. The co-development of this decision framework resulted in a number of useful insights from the perspective of the decision maker, including recognition (1) that the problem is a multi-objective decision driven by values beyond restoring lost functionality of ecosystems (that is, biogeophysical goals), (2) that the decision comprises a linked and sequential planning-to-implementation process, and (3) that future risk associated with land-use and climate change must be considered. The outcomes of this collaboration can serve as a systematic and transparent framework to prioritize a wide range of restoration, conservation, and resource-allocation activities in similar environmental contexts across the Nation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221058","collaboration":"Prepared in cooperation with the North Carolina Department of Environmental Quality","usgsCitation":"García, A.M., Eaton, M., Sanchez, G.M., Keisman, J.L., Ullman, K., and Blackwell, J., 2023, Value-aligned planning objectives for restoring North Carolina aquatic resources: U.S. Geological Survey Open-File Report 2022–1058, 20 p., https://doi.org/10.3133/ofr20221058.","productDescription":"vi, 20 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-125133","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":414972,"rank":3,"type":{"id":31,"text":"Publication 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Carolina\",\"nation\":\"USA \"}}]}","contact":"South Atlantic Water Science Center
U.S. Geological Survey
3916 Sunset Ridge Road
Raleigh, NC 27607
Steep declines in North American rangeland biodiversity have prompted researchers and managers to use umbrella species as a tool to manage diverse suites of co-occurring wildlife, but efficacy of this method has been variable. Evaluation of prairie and shrubland grouse as umbrellas is typically restricted to observed overlap between umbrella and background species, but this approach does not distinguish between overlap due to ubiquity or niche overlap.
We demonstrate a novel application of neutral landscape models (NLMs) to test the effectiveness of greater sage-grouse (Centrocercus urophasianus) as an umbrella species for grassland songbirds at a grassland-sagebrush ecotone in northeastern Wyoming, USA.
We leveraged existing spatial data representing sage-grouse habitat in two distinct seasons (nesting and late brood-rearing) and density and distribution of eight grassland songbirds. We applied a permutation-based analysis using NLMs to determine whether overlap between background species and greater sage-grouse was greater than expected by chance.
Three species (western meadowlark Sturnella neglecta, loggerhead shrike Lanius ludovicianus, and lark bunting Calamospiza melanocorys) had greater overlap than expected with at least one type of greater sage-grouse habitat, while western kingbirds (Tyrannus verticalis) indicated avoidance of all sage-grouse habitat assessed.
NLMs provided a more nuanced evaluation of the umbrella species concept than previously available and allowed us to differentiate between overlap due to ubiquity (e.g., vesper sparrow; Pooecetes gramineus) rather than overlap in habitat use. All grassland passerine species with greater than expected overlap with sage-grouse habitat either nest in sagebrush (loggerhead shrike) or often select nest locations underneath small shrubs (western meadowlark, lark bunting). These results indicate that nesting substrate is a potential niche axis to consider when evaluating the umbrella species concept, especially within sagebrush-grassland ecotones.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-022-01586-7","usgsCitation":"Duchardt, C.J., Monroe, A., Edmunds, D.R., Holloran, M.J., Holloran, A.G., and Aldridge, C.L., 2023, Using neutral landscape models to evaluate the umbrella species concept in an ecotone: Landscape Ecology, v. 38, p. 1447-1462, https://doi.org/10.1007/s10980-022-01586-7.","productDescription":"16 p.","startPage":"1447","endPage":"1462","ipdsId":"IP-135208","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435377,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MLURH7","text":"USGS data release","linkHelpText":"A neutral landscape approach to evaluating the umbrella species concept for greater sage-grouse in northeast Wyoming, USA"},{"id":417531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.00304481605505,\n 44.99130028797805\n ],\n [\n -111.00304481605505,\n 40.92596776661196\n ],\n [\n -104.05240845017104,\n 40.92596776661196\n ],\n [\n -104.05240845017104,\n 44.99130028797805\n ],\n [\n -111.00304481605505,\n 44.99130028797805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Duchardt, Courtney J. 0000-0003-4563-0199","orcid":"https://orcid.org/0000-0003-4563-0199","contributorId":239754,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":874007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holloran, Matthew James 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":305854,"corporation":false,"usgs":true,"family":"Holloran","given":"Matthew","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Alison G.","contributorId":305855,"corporation":false,"usgs":false,"family":"Holloran","given":"Alison","email":"","middleInitial":"G.","affiliations":[{"id":51369,"text":"Audubon Rockies","active":true,"usgs":false}],"preferred":false,"id":874011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":874012,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70242849,"text":"70242849 - 2023 - A conceptual framework for estimation of initial emergency food and water resource requirements in disasters","interactions":[],"lastModifiedDate":"2023-04-20T12:10:06.454803","indexId":"70242849","displayToPublicDate":"2023-04-11T07:05:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"A conceptual framework for estimation of initial emergency food and water resource requirements in disasters","docAbstract":"Many households lack the necessary food and water supplies to sustain themselves for more than three days during a disaster. Community vulnerability assessments can be used to identify households with more pressing needs for emergency food and water resources. It is critical that these assessments include the interaction between physical impacts to lifeline infrastructure and the social vulnerabilities of food and water insecurity to prioritize, allocate, and distribute emergency resources. In this paper, we review and synthesize relevant literature to propose a new multidisciplinary conceptual framework of community vulnerability assessment for estimating initial emergency food and water resource requirements in a developed country. Using the framework as a guide, we illustrate its practical application through a simplified, deterministic model of initial resource requirements in disaster response, and offer a quantitative, comprehensive description of its application within the geophysical hazard context of the “ShakeOut” scenario—a major Mw 7.8 earthquake on California's San Andreas fault, occurring within the Los Angeles Basin, CA (USA) region. Model results estimate that 999,027 households (2,947,130 residents) will require initial emergency food and water resource requirements. Estimates include about 6 million meals and 9 million liters of water, concentrated in Lancaster-Palmdale, El Monte-Baldwin Park, East Los Angeles-Downey in Los Angeles County, the Coachella Valley (Riverside County), and in populated areas of San Bernardino County. A sensitivity analysis of social vulnerability interactions with utility service outages investigates the influence of food insecurity on the amplification of resource needs. This study establishes fundamental knowledge at the nexus of natural hazards, critical infrastructure disruptions, and social vulnerability by providing initial estimates of emergency resource demand while advancing the understanding of social inequity in emergency resource access.
Water nutrient management efforts are frequently coordinated across thousands of water bodies, leading to a need for spatially extensive information to facilitate decision making. Here we explore potential applications of a machine learning model of river low-flow total phosphorus (TP) concentrations to support landscape nutrient management. The model was trained, validated, and then applied for all rivers of Michigan, USA to identify potential drivers of nutrient variation, predict alteration in nutrient concentrations from minimally disturbed conditions, and explore reach specific sensitivity to riparian agricultural change. A boosted regression tree model of low-flow TP concentrations trained on natural and anthropogenic landscape predictors accounted for 53 % of variation in cross-validation data, had good accuracy, little bias, and plausible relationships between predictors and response. Percent riparian agricultural cover accounted for the greatest root mean square error reduction in the modeled response (33.2 %), followed by riparian soil permeability (12.9 %), watershed slope (9.6 %), and percent urban cover (9.6 %). An apparent non-linear relationship between TP concentrations and percent riparian agricultural cover suggested steep positive increases in stream TP concentrations between 10 and 30 % upstream riparian agricultural cover. Predicted minimally disturbed TP concentrations were spatially variable and ranged from 7.0 to 48.5 μg l−1, with the highest concentrations in watersheds draining low-permeability lake plain soils. Comparison of minimally disturbed predictions to those from the early 2000s suggested that much of northern Michigan existed close to the reference condition, while lower Michigan streams were often substantially enriched. Our predicted values of minimally disturbed condition generally agree with previous studies but offer greater geographic specificity. Expanded application of machine learning modeling with landscape predictor data have great potential to inform large scale strategy development in landscapes with sparse reference data.
Among the most widely predicted climate change-related impacts to biodiversity are geographic range shifts, whereby species shift their spatial distribution to track their climate niches. A series of commonly articulated hypotheses have emerged in the scientific literature suggesting species are expected to shift their distributions to higher latitudes, greater elevations, and deeper depths in response to rising temperatures associated with climate change. Yet, many species are not demonstrating range shifts consistent with these expectations. Here, we evaluate the impact of anthropogenic climate change (specifically, changes in temperature and precipitation) on species’ ranges, and assess whether expected range shifts are supported by the body of empirical evidence.
We conducted a Systematic Review, searching online databases and search engines in English. Studies were screened in a two-stage process (title/abstract review, followed by full-text review) to evaluate whether they met a list of eligibility criteria. Data coding, extraction, and study validity assessment was completed by a team of trained reviewers and each entry was validated by at least one secondary reviewer. We used logistic regression models to assess whether the direction of shift supported common range-shift expectations (i.e., shifts to higher latitudes and elevations, and deeper depths). We also estimated the magnitude of shifts for the subset of available range-shift data expressed in distance per time (i.e., km/decade). We accounted for methodological attributes at the study level as potential sources of variation. This allowed us to answer two questions: (1) are most species shifting in the direction we expect (i.e., each observation is assessed as support/fail to support our expectation); and (2) what is the average speed of range shifts?
We found that less than half of all range-shift observations (46.60%) documented shifts towards higher latitudes, higher elevations, and greater marine depths, demonstrating significant variation in the empirical evidence for general range shift expectations. For the subset of studies looking at range shift rates, we found that species demonstrated significant average shifts towards higher latitudes (average = 11.8 km/dec) and higher elevations (average = 9 m/dec), although we failed to find significant evidence for shifts to greater marine depths. We found that methodological factors in individual range-shift studies had a significant impact on the reported direction and magnitude of shifts. Finally, we identified important variation across dimensions of range shifts (e.g., greater support for latitude and elevation shifts than depth), parameters (e.g., leading edge shifts faster than trailing edge for latitude), and taxonomic groups (e.g., faster latitudinal shifts for insects than plants).
Despite growing evidence that species are shifting their ranges in response to climate change, substantial variation exists in the extent to which definitively empirical observations confirm these expectations. Even though on average, rates of shift show significant movement to higher elevations and latitudes for many taxa, most species are not shifting in expected directions. Variation across dimensions and parameters of range shifts, as well as differences across taxonomic groups and variation driven by methodological factors, should be considered when assessing overall confidence in range-shift hypotheses. In order for managers to effectively plan for species redistribution, we need to better account for and predict which species will shift and by how much. The dataset produced for this analysis can be used for future research to explore additional hypotheses to better understand species range shifts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-023-00296-0","usgsCitation":"Rubenstein, M.A., Weiskopf, S.R., Bertrand, R., Carter, S., Comte, L., Eaton, M.J., Johnson, C.G., Lenoir, J., Lynch, A., Miller, B.W., Morelli, T.L., Rodriguez, M.A., Terando, A., and Thompson, L., 2023, Climate change and the global redistribution of biodiversity: Substantial variation in empirical support for expected range shifts: Journal of Environmental Evidence, v. 12, 7, 21 p., https://doi.org/10.1186/s13750-023-00296-0.","productDescription":"7, 21 p.","ipdsId":"IP-138082","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":443888,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-023-00296-0","text":"Publisher Index Page"},{"id":435380,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99VP2TW","text":"USGS data release","linkHelpText":"CoRE (Contractions or Range Expansions) Database: Global Database of Species Range Shifts from 1802-2019"},{"id":415647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertrand, Romain","contributorId":304118,"corporation":false,"usgs":false,"family":"Bertrand","given":"Romain","email":"","affiliations":[{"id":65973,"text":"Universitéde Toulouse 3, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":869280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Shawn 0000-0002-0045-4681","orcid":"https://orcid.org/0000-0002-0045-4681","contributorId":216490,"corporation":false,"usgs":true,"family":"Carter","given":"Shawn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":869282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":869283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Ciara G.","contributorId":271273,"corporation":false,"usgs":false,"family":"Johnson","given":"Ciara","email":"","middleInitial":"G.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":869284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lenoir, Jonathan","contributorId":167876,"corporation":false,"usgs":false,"family":"Lenoir","given":"Jonathan","email":"","affiliations":[{"id":24849,"text":"Université de Picardie Jules Verne","active":true,"usgs":false}],"preferred":false,"id":869285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":216203,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869286,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":869287,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869288,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rodriguez, Mari Angel 0000-0002-3372-1897","orcid":"https://orcid.org/0000-0002-3372-1897","contributorId":224776,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Mari","email":"","middleInitial":"Angel","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":869289,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":869290,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869291,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70248875,"text":"70248875 - 2023 - Shorebird monitoring using spatially explicit occupancy and abundance","interactions":[],"lastModifiedDate":"2023-09-25T11:49:53.727957","indexId":"70248875","displayToPublicDate":"2023-04-11T06:46:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Shorebird monitoring using spatially explicit occupancy and abundance","docAbstract":"Troglichthys (= Amblyopsis) rosae (Ozark Cavefish) is currently known from 83 locations within the Ozark Highlands ecoregion. We found a cavefish at a new location in the Grand Lake O' the Cherokees on the western side of the Neosho River (Delaware County, OK), which is on the northwest periphery of the Ozark Cavefish range. Examination of the mitochondrial ND2 gene supports that the specimen is an Ozark Cavefish, but distinct (4.6–9.2% pairwise distance) from other specimens that have been genetically sampled, and could represent a unique population. Future research should focus on expanding sampling efforts and conducting a range-wide genetic analysis of the Ozark Cavefish.
Arctic freshwater ecosystems and fish populations are largely shaped by seasonal and long-term watershed hydrology. In this paper, we hypothesize how changing air temperature and precipitation will alter freeze and thaw processes, hydrology, and instream habitat to assess potential indirect effects, such as the change to the foraging and behavioral ecology, on Arctic fishes, using Broad Whitefish Coregonus nasus as an indicator species. Climate change is expected to continue to alter hydrologic pathways, flow regimes, and, therefore, habitat suitability, connectivity, and availability for fishes. Warming and lengthening of the growing season will likely increase fish growth rates; however, the exceedance of threshold stream temperatures will likely increase physiological stress and alter life histories. We expect these changes to have mixed effects on Arctic subsistence fishes and fisheries. Management and conservation approaches focused on preserving the processes that create heterogeneity in aquatic habitats, genes, and communities will help maintain the resilience of Broad Whitefish and other important subsistence fisheries. Long-term effects are uncertain, so filling scientific knowledge gaps, such as identifying important habitats or increasing knowledge of abiotic variables in priority watersheds, is key to understanding and potentially mitigating likely impacts to Arctic fishes in a rapidly changing landscape.
No abstract available.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.3c02351","usgsCitation":"Schmidt, T., Fuller, C.C., Qi, S.L., and Gellis, A.C., 2023, Rebuttal to correspondence on “sediment sources and sealed-pavement area drive polycyclic aromatic hydrocarbon and metal occurrence in urban streams: Environmental Science and Technology, v. 57, no. 16, p. 6756-6758, https://doi.org/10.1021/acs.est.3c02351.","productDescription":"3 p.","startPage":"6756","endPage":"6758","ipdsId":"IP-148532","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":422068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"16","noUsgsAuthors":false,"publicationDate":"2023-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":886694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242698,"text":"70242698 - 2023 - Using the potassium-argon laser experiment (KArLE) to date ancient, low-K chondritic meteorites","interactions":[],"lastModifiedDate":"2023-04-13T12:27:11.289324","indexId":"70242698","displayToPublicDate":"2023-04-10T07:24:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5996,"text":"Meteoritics & Planetary Science (MAPS)","active":true,"publicationSubtype":{"id":10}},"title":"Using the potassium-argon laser experiment (KArLE) to date ancient, low-K chondritic meteorites","docAbstract":"Several laboratories have been investigating the feasibility of in situ K-Ar dating for use in future landing planetary missions. One drawback of these laboratory demonstrations is the insufficient analogy of the analyzed analog samples with expected future targets. We present the results obtained using the K-Ar laser experiment (KArLE) on two old and K-poor chondritic samples, Pułtusk and Hvittis, as better lunar analogs. The KArLE instrument uses laser ablation to vaporize rock samples and quantifies K content by laser-induced breakdown spectroscopy (LIBS), Ar by quadrupole mass spectrometry (QMS), and ablated mass by laser profilometry. We performed 64 laser ablations on the chondrites to measure spots with a range of K2O and Ar content and used the data to construct isochrons to determine the chondrite formation age. The KArLE isochron ages on Pułtusk and Hvittis are 5059 ± 892 Ma and 4721 ± 793 Ma, respectively, which is within the uncertainty of published reference ages, and interpreted as the age of their formation. The uncertainty (2σ) on the KArLE ages obtained in this study is better than 20% (18% for Pułtusk and 17% for Hvittis). The precision, which compares our obtained ages to the reference ages, is also better than 20% (11% for Pułtusk and 4% for Hvittis). These results are encouraging for understanding the limits of this technique to measure ancient planetary samples and for guiding future improvements to the instrument.
Nitrate concentrations have been rising in surface waters over the last century and now frequently exceed drinking water standards and environmental safety benchmarks globally. Health-wise, these trends are concerning because nitrate has been shown to disrupt endocrine function and developmental outcomes. The present study investigated potential sublethal effects of nitrate on developing fathead minnows. Fish were exposed from fertilization through 21 days postfertilization (dpf) to environmentally relevant concentrations of nitrate (0, 2, 5, 10, 25, or 100 mg/L NO3-N as NaNO3). Nitrate effects on hatch timing, heart rate and rhythm at 3 dpf, growth through 21 dpf, swim bladder inflation timing and size, scoliosis, pericardial edema, and mortality were assessed. Because adding NaNO3 increases water conductivity, two conductivity controls were included to match the ionic strength of the 10- and 100-mg/L NO3-N treatments. Increasing nitrate delayed posterior swim bladder (PSB) inflation in a dose-dependent manner, with possible inhibition of anterior swim bladder (ASB) inflation at higher doses, although nitrate did not affect swim bladder size. Conversely, nitrate did not affect hatch timing or cardiac endpoints at 3 dpf or induce pericardial edema or scoliosis, although there was a noted brood effect on these latter defects. As was observed with increasing nitrate, higher ion concentrations in the conductivity controls caused dose-dependent increases in fish body size at 21 dpf. Increased ionic strength also hastened ASB inflation independently of nitrate. As in other published studies, the observed delay in PSB inflation suggests that nitrate disrupts the thyroid axis and warrants further investigation. In addition, the present study supports the need for conductivity controls in nitrate toxicity studies to distinguish nitrate-specific effects. Environ Toxicol Chem 2023;00:1–13. Published 2023. This article is a U.S. Government work and is in the public domain in the USA.
The value of information is a central concept in decision analysis, used to quantify how much the expected outcome of a decision would be improved if epistemic uncertainty could be resolved prior to committing to a course of action. One of the challenges, however, in quantitative analysis of the value of information is that the calculations are demanding, especially in requiring predictions of outcomes as a function of alternative actions and sources of uncertainty. However, the concept of value of information is important in early framing of some decisions, before such predictions are available. We propose a novel measure of the value of information based on constructed scales (CVOI), grounded in the algebra of the expected value of perfect information (EVPI), but requiring less of experts and analysts. The CVOI calculation decomposes EVPI into a contribution representing the relevance of the uncertainty to the decision and a contribution representing the magnitude of uncertainty; constructed ratio scales are then proposed for each contribution. We demonstrate the use of CVOI to identify research priorities related to migratory bird management in the face of climate change.
","language":"English","publisher":"INFORMS","doi":"10.1287/deca.2023.0474","usgsCitation":"Runge, M.C., Rushing, C., Lyons, J.E., and Rubenstein, M.A., 2023, A simplified method for value of information using constructed scales: Decision Analysis, v. 20, no. 3, p. 220-230, https://doi.org/10.1287/deca.2023.0474.","productDescription":"11 p.","startPage":"220","endPage":"230","ipdsId":"IP-143208","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":415701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":869411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rushing, Clark S.","contributorId":304139,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":869412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":869413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869414,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242750,"text":"70242750 - 2023 - How do ambient conditions and management actions affect manatee movements and habitat use?","interactions":[],"lastModifiedDate":"2023-06-15T12:17:09.906902","indexId":"70242750","displayToPublicDate":"2023-04-10T06:34:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"How do ambient conditions and management actions affect manatee movements and habitat use?","docAbstract":"Kings Bay in northwest Florida, USA, is an important winter home of the largest aggregation of Florida manatee (Trichechus manatus latirostris), and the only location in the United States where visitors legally swim and interact with manatees. In addition to ambient conditions, visitors to the area and management actions have the potential to influence manatee behaviors. We tracked 32 manatees with satellite-linked global position system (GPS) telemetry tags in Kings Bay from 2006 to 2018. Also, personnel at Crystal River National Wildlife Refuge collected manatee counts at Three Sisters Springs from 2014 to 2017. Our objectives were to document the use of springs and other habitat components in Kings Bay relative to ambient water temperature, time of day, tide stage, and management actions within Three Sisters Springs and other manatee sanctuaries in the bay. Manatees that we tagged in Kings Bay spent a median 87% of the winter within the local study area, compared to 47% for animals that we tagged in the Florida Panhandle. Manatees showed preferences for King and Magnolia springs basins at low tide, indicating that they function as tidal refuges, when other locations may be less accessible; we also recorded within spring basin movements. Magnolia Spring Basin showed a significant diel pattern overall, and within basins, King Spring, Tarpon Hole, and Three Sisters Springs were used more during the night than during the day. All areas outside Kings Bay were used more at warmer ambient gulf water temperatures, while all of the springs basins were used more when gulf temperature was colder, especially Three Sisters Springs Basin. Management of Three Sisters Springs had an influence on manatee use during times of cold ambient gulf water temperatures; manatees used the springs more when the spring was closed to visitors, versus when the springs were completely open or when the spring lobes alone were closed. Manatee decisions were consistent with avoiding human interactions.
Billions of animals migrate to track seasonal pulses in resources. Optimally timing migration is a key strategy, yet the ability of animals to compensate for phenological mismatches en route is largely unknown. Using GPS movement data collected from 72 adult female deer over a 10-year duration, we study a population of mule deer (Odocoileus hemionus) in Wyoming that lack reliable cues on their desert winter range, causing them to start migration 70 days ahead to 52 days behind the wave of spring green-up. We show that individual deer arrive at their summer range within an average 6-day window by adjusting movement speed and stopover use. Late migrants move 2.5 times faster and spend 72% less time on stopovers than early migrants, which allows them to catch the green wave. Our findings suggest that ungulates, and potentially other migratory species, possess cognitive abilities to recognize where they are in space and time relative to key resources. Such behavioral capacity may allow migratory taxa to maintain foraging benefits amid rapidly changing phenology.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-023-37750-z","usgsCitation":"Ortega, A., Aikens, E., Merkle, J., Monteith, K., and Kauffman, M., 2023, Migrating mule deer compensate en route for phenological mismatches: Nature Communications, v. 14, 2008, 10 p., https://doi.org/10.1038/s41467-023-37750-z.","productDescription":"2008, 10 p.","ipdsId":"IP-143780","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490098,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37750-z","text":"Publisher Index Page"},{"id":482965,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"14","noUsgsAuthors":false,"publicationDate":"2023-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ortega, Anna C.","contributorId":351885,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aikens, Ellen O.","contributorId":287295,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen O.","affiliations":[{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":929891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod A.","contributorId":351886,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteith, Kevin L.","contributorId":351887,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929712,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266239,"text":"70266239 - 2023 - Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island","interactions":[],"lastModifiedDate":"2025-08-04T15:40:52.782654","indexId":"70266239","displayToPublicDate":"2023-04-10T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island","title":"Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island","docAbstract":"Egg size is an important avian life history parameter, with larger eggs indicating greater investment of resources in the chick. Prey availability can affect such investment. We investigated the effects of oceanographic conditions and laying sequence on Scripps's Murrelet Synthliboramphus scrippsi egg size at Santa Barbara Island, California during 2009-2017. We evaluated oceanographic covariates characterizing marine productivity for their effect on egg size, including large-scale oceanographic indices such as the Pacific Decadal Oscillation (PDO) index, Oceanic Niño Index (ONI), and North Pacific Gyre Oscillation (NPGO) index. We also evaluated a larval anchovy catch-per-unit-effort (ANCHL) index and the Biologically Effective Upwelling Transport Index (BEUTI) as region-wide indices, and sea surface temperature (SST) as a local index. We evaluated oceanographic conditions over the entire year and during the breeding season only. We also considered the contribution of lagged effects to oceanographic conditions. Our results generally ran counter to our hypothesis that increased ocean productivity should increase egg size. Based on Akaike's Information Criterion, the four top-ranked models provided support for an association between larger eggs and conditions indicative of lower oceanographic productivity, including lower values of BEUTI and NPGO, and higher values of ONI, PDO, and SST. The only result that supported our hypothesis was a positive relationship between ANCHL and egg size, although the 95% confidence interval for the effect included 0. The strongest relationship detected was between laying sequence and egg size, as second eggs were considerably larger than first eggs. Our results indicate substantial complexity in the relationship between ocean productivity and seabird demography. A better understanding of how ocean productivity affects seabird breeding outcomes through multiple mechanisms will help improve predictions of how seabirds will respond to changing ocean conditions.
","language":"English","publisher":"Marine Ornithology","doi":"10.5038/2074-1235.51.1.1503","usgsCitation":"Zaragoza, M., DuVall, A., Howard, J., Mazurkiewicz, D., and Converse, S.J., 2023, Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island: Marine Ornithology: Journal of Seabird Research and Conservation, v. 51, p. 1-9, https://doi.org/10.5038/2074-1235.51.1.1503.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-136381","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494434,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5038/2074-1235.51.1.1503","text":"Publisher Index Page"},{"id":485392,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.05661717686746,\n 33.49341793309826\n ],\n [\n -119.05661717686746,\n 33.45600358149278\n ],\n [\n -119.0156631801566,\n 33.45600358149278\n ],\n [\n -119.0156631801566,\n 33.49341793309826\n ],\n [\n -119.05661717686746,\n 33.49341793309826\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaragoza, Marcela I. Todd","contributorId":354067,"corporation":false,"usgs":false,"family":"Zaragoza","given":"Marcela I. Todd","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":935058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuVall, Amelia J.","contributorId":354068,"corporation":false,"usgs":false,"family":"DuVall","given":"Amelia J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":935059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Jim A.","contributorId":354073,"corporation":false,"usgs":false,"family":"Howard","given":"Jim A.","affiliations":[{"id":84544,"text":"California Institute of Environmental","active":true,"usgs":false}],"preferred":false,"id":935060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazurkiewicz, David M.","contributorId":354074,"corporation":false,"usgs":false,"family":"Mazurkiewicz","given":"David M.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":935061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":935062,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70246606,"text":"70246606 - 2023 - Goldilocks forbs: Survival is highest outside—but not too far outside—of Wyoming big sagebrush canopies","interactions":[],"lastModifiedDate":"2023-08-08T14:23:03.07746","indexId":"70246606","displayToPublicDate":"2023-04-09T07:20:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Goldilocks forbs: Survival is highest outside—but not too far outside—of Wyoming big sagebrush canopies","docAbstract":"In arid and semiarid systems, positive effects of nurse shrubs generally occur immediately underneath and around shrub canopies, creating microsites that can be targeted to promote plant establishment in restoration settings. Alternatively, the best microsites may occur in the interspace zone immediately surrounding nurse shrubs if positive abiotic effects extend beyond nurse shrub canopy boundaries and if competition with nurse shrubs is reduced in that zone. In the Intermountain West, U.S.A., we investigated survival of transplanted herbaceous seedlings at different distances from Wyoming big sagebrush (Artemisia tridentata ssp. wyomingensis) canopies. We planted two native perennial forb species, Munro's globemallow (Sphaeralcea munroana) and common yarrow (Achillea millefolium), and two native perennial grass species, bluebunch wheatgrass (Pseudoroegneria spicata) and bottlebrush squirreltail (Elymus elymoides), at four distances from sagebrush canopies at six sites across the Intermountain West, repeated across 2 years. Under above-normal precipitation, proximity to sagebrush influenced first-year survival of the forb, but not grass, species. Globemallow and yarrow survival were highest mid-way between the canopy dripline and maximum interspace distance between neighboring sagebrush plants. Ground cover characteristics and globemallow survival covaried with respect to distance from shrub, suggesting ground cover characteristics as indicators of suitable planting microsites. Under drier conditions, survival of all species was low and unaffected by distance from canopies. Our results demonstrate the value of fine-tuning the canopy-interspace paradigm to more carefully consider how plant performance may differ across zones within the interspace region between plants, especially when the goal is to maximize plant establishment in nondrought years.
NASA's Global Ecosystem Dynamics Investigation (GEDI) is designed to provide high-resolution measurements of forest structure and topography between 52° N and S. However, current geolocation accuracy may limit further science applications of footprint-level products as early adopters have found it difficult to align with in-situ forestry inventory data and high-resolution imagery for calibration and validation purpose. Here we developed a new means to rapidly evaluate and mitigate the impact of systematic geolocation error on the performance of GEDI's forest height estimates in the US. By integrating nationwide high-resolution airborne lidar data collected through the 3D Elevation Program of the USGS, we provided optimal geolocation adjustments of GEDI at per beam level and tracked their performances over the first 18-mo. Our results suggest that the first release of GEDI product (R01) can have large systematic geolocation errors at beam level (i.e., 50.5% of beams with an error > 20 m). Its impact on canopy height measurement could drastically vary in space and time, which in turn also offers a separate indirect method to evaluate and track geolocation performance. The second release of GEDI data (R02) has achieved a much-improved systematic geolocation accuracy which is shown to meet the mission requirement (0.2% beams >20 m and 80.8% beams <10 m) and should be able to meet requirements from many practical science applications tolerant to moderate geolocation errors. In sum, our approach has provided a short-term solution for an enhanced Cal/Val strategy for GEDI. While further improvements will certainly be made in future releases, it can potentially create an alternative pathway to generate and validate biomass products by linking GEDI footprint samples directly with in-situ data collections.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2023.113571","usgsCitation":"Tang, H., Stoker, J.M., Luthcke, S., Armston, J., Lee, K., Blair, B., and Hofton, M., 2023, Evaluating and mitigating the impact of systematic geolocation error on canopy height measurement performance of GEDI: Remote Sensing of Environment, v. 291, 113571, 13 p., https://doi.org/10.1016/j.rse.2023.113571.","productDescription":"113571, 13 p.","ipdsId":"IP-144120","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":443909,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2023.113571","text":"Publisher Index Page"},{"id":418400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418399,"rank":1,"type":{"id":12,"text":"Errata"},"url":"https://doi.org/10.1016/j.rse.2023.113663"}],"volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Hao","contributorId":311206,"corporation":false,"usgs":false,"family":"Tang","given":"Hao","email":"","affiliations":[{"id":67355,"text":"Department of Geography, National University of Singapore, 117570, Singapore","active":true,"usgs":false}],"preferred":false,"id":876037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":876038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luthcke, Scott","contributorId":311207,"corporation":false,"usgs":false,"family":"Luthcke","given":"Scott","affiliations":[{"id":67357,"text":"NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","active":true,"usgs":false}],"preferred":false,"id":876039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Armston, John","contributorId":311208,"corporation":false,"usgs":false,"family":"Armston","given":"John","email":"","affiliations":[{"id":67358,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD 20770, USA","active":true,"usgs":false}],"preferred":false,"id":876040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Kyungtae","contributorId":311209,"corporation":false,"usgs":false,"family":"Lee","given":"Kyungtae","email":"","affiliations":[{"id":67358,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD 20770, USA","active":true,"usgs":false}],"preferred":false,"id":876042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blair, Bryan","contributorId":311210,"corporation":false,"usgs":false,"family":"Blair","given":"Bryan","email":"","affiliations":[{"id":67357,"text":"NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA","active":true,"usgs":false}],"preferred":false,"id":876043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hofton, Michelle","contributorId":311211,"corporation":false,"usgs":false,"family":"Hofton","given":"Michelle","email":"","affiliations":[{"id":67358,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD 20770, USA","active":true,"usgs":false}],"preferred":false,"id":876044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70244088,"text":"70244088 - 2023 - Bilateral palpebral reduction and concurrent mycoplasmosis in a wild Agassiz's desert tortoise (Gopherus agassizii)","interactions":[],"lastModifiedDate":"2023-07-24T16:53:24.727691","indexId":"70244088","displayToPublicDate":"2023-04-08T07:14:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14454,"text":"Veterinary Opthalmology","active":true,"publicationSubtype":{"id":10}},"title":"Bilateral palpebral reduction and concurrent mycoplasmosis in a wild Agassiz's desert tortoise (Gopherus agassizii)","docAbstract":"A wild Agassiz's desert tortoise, Gopherus agassizii, with bilateral eyelid reduction and plaques of tissue covering the superior surface of both corneas was examined in the field and subsequently submitted to the University of Florida for diagnostics. Polymerase chain reaction (PCR), from a swab of both corneas, was positive for Mycoplasma agassizii. Two months later, the tortoise was euthanatized and necropsied. There was increased bulbar exposure associated with dermal excoriation of periocular scales in both superior and inferior palpebra resulting in an increased palpebral fissure opening. Concurrently, there was bilateral conjunctivitis of the nictitating membranes and squamous metaplasia of the bulbar conjunctiva. Using PCR, Mycoplasma testudineum, another pathogen of tortoises, was identified in both nasal cavities, and the upper respiratory tract histopathological findings were consistent with those described for M. testudineum in Agassiz's desert tortoises. Although eye disease has been reported in desert and gopher (Gopherus polyphemus) tortoises with mycoplasmosis, widespread loss of palpebral tissue, conjunctivitis of the nictitans, and squamous metaplasia of the bulbar conjunctiva have not been reported in tortoises.
In 2022, we surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo), Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher), and Coastal California Gnatcatchers (Polioptila californica californica; gnatcatcher) in the Santa Fe Dam detention basin and along the San Gabriel River upstream from the Santa Fe Dam near Irwindale, California. Four vireo surveys were completed between April 21 and July 13, 2022; three flycatcher surveys were completed between May 18 and July 13, 2022; and four gnatcatcher surveys were completed between April 21 and July 13, 2022.
We detected seven territorial male vireos, including four that were paired and three with undetermined breeding status. We also detected one transient vireo. Two juvenile vireos were observed during surveys. Vireo territories were found in riparian scrub, willow (Salix spp.)-cottonwood (Populus spp.), and mixed willow habitat, with mixed willow the most commonly-recorded habitat type. Black willow (S. gooddingii) was the dominant plant species in most vireo territories.
We detected 10 transient flycatchers in riparian scrub (5 individuals), mixed willow (4 individuals), and non-native vegetation (1 individual). Black willow and mule fat (Baccharis salicifolia) were the predominant plant species in flycatcher locations.
We detected four territorial male gnatcatchers, two of which were paired and two of undetermined breeding status. We also detected one territorial female gnatcatcher. One juvenile gnatcatcher was observed during surveys. All gnatcatchers were detected in coastal sage scrub. The dominant shrub species at gnatcatcher locations were California sagebrush (Artemisia californica) and scale broom (Lepidospartum squamatum).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1171","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2023, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus), Southwestern Willow Flycatchers (Empidonax traillii extimus), and Coastal California Gnatcatchers (Polioptila californica californica) at the Santa Fe Dam, Los Angeles County, California—2022 data summary: U.S. Geological Survey Data Report 1171, 12 p., https://doi.org/10.3133/dr1171.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-147582","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":415357,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1171/full"},{"id":415356,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1171/images"},{"id":415354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1171/dr1171.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Report 1171"},{"id":415355,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1171/dr1171.xml"},{"id":415353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1171/covrthb.jpg"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Santa Fe Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.99541701449124,\n 34.09714643780791\n ],\n [\n -117.90583912500122,\n 34.09714643780791\n ],\n [\n -117.90583912500122,\n 34.16481614556767\n ],\n [\n -117.99541701449124,\n 34.16481614556767\n ],\n [\n -117.99541701449124,\n 34.09714643780791\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Global change has altered the nature of disturbance regimes, and megafire events are increasingly common. Megafires result in immediate changes to habitat available to terrestrial wildlife over broad landscapes, yet we know surprisingly little about how such changes shape space use of sensitive species in habitat that remains. Functional responses provide a framework for understanding and predicting changes in space use following habitat alteration, but no previous studies have assessed functional responses as a consequence of megafire. We studied space use and tested for functional responses in habitat use by breeding greater sage-grouse (Centrocercus urophasianus) before and after landscape-level changes induced by a >40,000 ha, high-intensity megafire that burned sagebrush steppe in eastern Idaho, USA. We also incorporated functional responses into predictive resource selection functions (RSFs) to map breeding habitat before and after the fire. Megafire had strong effects on the distribution of available resources and resulted in context-dependent habitat use that was heterogeneous across different components of habitat. We observed functional responses in the use and selection of a variety of resources (shrubs and herbaceous vegetation) for both nesting and brood rearing. Functional responses in the use of nesting habitat were influenced by the overarching effect of megafire on vegetation, whereas responses during brood rearing appeared to be driven by individual variation in available resources that were conditional on nest locations. Importantly, RSFs built using data collected prior to the burn also had poor transferability for predicting space use in a post-megafire landscape. These results have strong implications for understanding and predicting how animals respond to a rapidly changing environment, given that increased severity, frequency, and extent of wildfire are consequences of global change with the capacity to reshape ecosystems. We therefore demonstrate a conceptual framework to better understand space use and aid habitat conservation for wildlife in a rapidly changing world.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9933","usgsCitation":"Stevens, B.S., Roberts, S., Conway, C.J., and Engelstead, D.K., 2023, Effects of large-scale disturbance on animal space use: Functional responses by greater sage-grouse after megafire: Ecology and Evolution, v. 13, no. 4, e9933, 30 p., https://doi.org/10.1002/ece3.9933.","productDescription":"e9933, 30 p.","ipdsId":"IP-136242","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9933","text":"Publisher Index Page"},{"id":429874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.30314841246594,\n 44.47748992705084\n ],\n [\n -112.30314841246594,\n 44.05252291063391\n ],\n [\n -111.2985432757669,\n 44.05252291063391\n ],\n [\n -111.2985432757669,\n 44.47748992705084\n ],\n [\n -112.30314841246594,\n 44.47748992705084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":903006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Shane","contributorId":279606,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":903007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelstead, Devin K.","contributorId":338188,"corporation":false,"usgs":false,"family":"Engelstead","given":"Devin","email":"","middleInitial":"K.","affiliations":[{"id":37086,"text":"U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":903009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}