We conceptualize and test a non-intrusive barrier, comprised of an oblique bubble screen (OBS) oriented at an angle to the mean flow, to prevent the downstream dispersal of invasive carp egg surrogates. Three surrogates of different densities and diameters were tested. Secondary flows created by the OBS were tuned to redirect surrogate eggs to facilitate their capture. Surface particle image velocimetry and acoustic Doppler velocimetry were used to characterize secondary flows. We assessed the influence of airflow rate, OBS angle, mean flow velocity, and surrogate density on particle redirection. In general, redirection efficiency improves by increasing the OBS angle with respect to the cross-section. At a mean flow velocity of 0.75 metres per second (m/s), the OBS system redirected up to 60% (%) of positively buoyant particles (specific gravity SG = 0.9, and diameter d = 7.09 millimetres [mm]) and 40% of semi-buoyant particles (SG = 1.001, d = 3.1 mm). Negatively buoyant particles (SG = 1.04, and d = 5.90 mm) were redirected by the physical structure of the diffuser rather than by OBS-induced flow. The study shows that an OBS system can be used to effectively redirect carp-egg surrogates over a wide range of particle sizes and densities, allowing for selective targeting of undesired particles in streams.
Mange is a skin disease caused by mites that parasitize an animal's skin, often yielding inflamed immune responses and hair loss. At a population level, mange may reduce survival and cause population declines. Many forms of mange can be treated quite effectively when an animal is in hand; however, this is not often feasible for many free-ranging wildlife populations. Some animals, particularly territorial carnivores, will rub or roll to scent mark and transmit information about their presence to other individuals. We posited that rub stations comprised, in part, of anthelmintic medication and foreign scents that induce rubbing could be used to remotely treat mange in the wild. We deployed 39 rub stations containing lure and dye in Santa Monica Mountains National Recreation Area, Southern California, USA, October–November 2022. Carnivores rubbed or rolled at .97% of rub stations, with coyotes (Canis latrans), gray foxes (Urocyon cinereoargenteus), and bobcats (Lynx rufus) being the most abundant species. Time to first rub or roll was generally <1 wk. Several sympatric species (e.g., mule deer, Odocoileus hemionus) were detected at rub stations but did not rub. Our pilot test provides strong evidence that treating mange in wild carnivores may be possible using the remote medicinal rub stations we describe. Future efforts to add medicine to rub stations and monitor for a change in mange prevalence are a logical next step.
Sturgeons are among the most endangered fishes in the world. Identifying habitat use characteristics to inform restoration projects is crucial for recovery. However, small sample sizes, inadequate replication of studies, and limited spatial extents complicate our ability to effectively apply the findings of single studies to endangered species conservation across the larger riverscape. We synthesized information from amphidromous and anadromous sturgeons in North America to identify species-specific knowledge gaps and conduct a quantitative comparison of species–habitat relationships. We provided a qualitative summary of substrate use and synthesized estimates of depth and velocity during spawning and non-spawning activity. Generalized patterns among species were identified, such as spawning in fast water on hard substrate and then using slow water with soft substrate areas when not spawning. We noted species-specific variability during spawning that may be attributed to historical maximum length, egg characteristics, and watershed features. This study provides some of the first estimates of habitat use that can be adapted for many populations. Results can contribute to empirically grounded decision-support tools used to prioritize information needs for recovery.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0222","usgsCitation":"Gilligan-Lunda, E.K., Duarte, A., and Peterson, J., 2024, Habitat use of anadromous and amphidromous sturgeons in North America: A systematic review: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 5, p. 508-524, https://doi.org/10.1139/cjfas-2023-0222.","productDescription":"17 p.","startPage":"508","endPage":"524","ipdsId":"IP-156404","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gilligan-Lunda, Erin K.","contributorId":339252,"corporation":false,"usgs":false,"family":"Gilligan-Lunda","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":339254,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":903887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257486,"text":"70257486 - 2024 - Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions","interactions":[],"lastModifiedDate":"2024-08-16T15:38:11.03954","indexId":"70257486","displayToPublicDate":"2024-04-19T10:34:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions","docAbstract":"As carbon storage technologies advance globally, methods to understand and mitigate induced earthquakes become increasingly important. Although the physical processes that relate increased subsurface pore pressure changes to induced earthquakes have long been known, reliable methods to forecast and control induced seismic sequences remain elusive. Suggested reservoir engineering scenarios for mitigating induced earthquakes typically involve modulation of the injection rate. Some operators have implemented periodic shutdowns (i.e., effective cycling of injection rates) to allow reservoir pressures to equilibrate (e.g., Paradox Valley) or shut‐in wells after the occurrence of an event of concern (e.g., Basel, Switzerland). Other proposed scenarios include altering injection rates, actively managing pressures through coproduction of fluids, and preinjection brine extraction. In this work, we use 3D physics‐based earthquake simulations to understand the effects of different injection scenarios on induced earthquake rates, maximum event magnitudes, and postinjection seismicity. For comparability, the modeled injection considers the same cumulative volume over the project’s operational life but varies the schedule and rates of fluid injected. Simulation results show that cyclic injection leads to more frequent and larger events than constant injection. Furthermore, with intermittent injection scenario, a significant number of events are shown to occur during pauses in injection, and the seismicity rate remains elevated for longer into the postinjection phase compared to the constant injection scenario.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230330","usgsCitation":"Kroll, K.A., and Cochran, E.S., 2024, Cyclic injection leads to larger and more frequent induced earthquakes under volume-controlled conditions: Seismological Research Letters, v. 95, p. 2105-2117, https://doi.org/10.1785/0220230330.","productDescription":"13 p.","startPage":"2105","endPage":"2117","ipdsId":"IP-157897","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489102,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2377896","text":"External Repository"},{"id":432863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","noUsgsAuthors":false,"publicationDate":"2024-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroll, Kayla A.","contributorId":146335,"corporation":false,"usgs":false,"family":"Kroll","given":"Kayla","email":"","middleInitial":"A.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":910519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":910520,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70253174,"text":"70253174 - 2024 - Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States","interactions":[],"lastModifiedDate":"2024-04-23T11:58:30.217736","indexId":"70253174","displayToPublicDate":"2024-04-19T06:55:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17467,"text":"Machine Learning with Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of streamflow predictions from LSTM models in water- and energy-limited regions in the United States","docAbstract":"The application of Long Short-Term Memory (LSTM) models for streamflow predictions has been an area of rapid development, supported by advancements in computing technology, increasing availability of spatiotemporal data, and availability of historical data that allows for training data-driven LSTM models. Several studies have focused on improving the performance of LSTM models; however, few studies have assessed the applicability of these LSTM models across different hydroclimate regions. This study investigated the single-basin trained local (one model for each basin), multi-basin trained regional (one model for one region), and grand (one model for several regions) models for predicting daily streamflow in water-limited Great Basin (18 basins) and energy-limited New England (27 basins) regions in the United States using the CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data set. The results show a general pattern of higher accuracy in daily streamflow predictions from the regional model when compared to local or grand models for most basins in the New England region. For the Great Basin region, local models provided smaller errors for most basins and substantially lower for those basins with relatively larger errors from the regional and grand models. The evaluation of one-layer and three-layer LSTM network architectures trained with 1-day lag information indicates that the addition of model complexity by increasing the number of layers may not necessarily increase the model skill for improving streamflow predictions. Findings from our study highlight the strengths and limitations of LSTM models across contrasting hydroclimate regions in the United States, which could be useful for local and regional scale decisions using standalone or potential integration of data-driven LSTM models with physics-based hydrological models.
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
To better understand the potential for amplified ground shaking at sites that house critical infrastructure, the U.S. Geological Survey (USGS) evaluated shear-wave velocities (VS) at six strong-motion recording stations in Southern California Edison facilities in southern California. We calculated VS30 (time-averaged shear-wave velocity in the upper 30 meters [m]), which is a parameter used in ground-motion prediction equations (GMPEs) to account for site amplification (Building Safety Seismic Council, 2003; Holtzer and others, 2005; Baltay and Boatwright, 2015). Previous site-characterization studies using multiple methods in Alameda, Napa, and Sonoma Counties, Calif., and in British Columbia (Catchings and others, 2017, 2019; Chan and others, 2018a, 2018b) show that some sites have significant lateral variability; thus, a single measurement of VS30 nearest to the strong-motion recording station may not accurately account for the actual subsurface velocity variations. In the summer of 2017, we recorded body and surface waves along linear profiles (118–174 m long) using active-source seismic methods (226-kilogram [kg] accelerated weight-drop and 3.5-kg sledgehammer impacts) near strong-motion recording stations. We used S-wave refraction tomography and a multichannel analysis of surface waves (MASW) method (using common midpoint cross-correlation; CMPCC) to evaluate two-dimensional (2-D) VS from body and surface waves, respectively. We evaluated VS from both Rayleigh- and Love-waves.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241016","usgsCitation":"Chan, J.H., Catchings, R.D., Goldman, M.R., Criley, C.J., and Sickler, R.R., 2024, Evaluation of 2-D shear-wave velocity models and VS30 at six strong-motion recording stations in southern California using multichannel analysis of surface waves and refraction tomography: U.S. Geological Survey Open-File Report 2024–1016, 58 p., https://doi.org/10.3133/ofr20241016.","productDescription":"Report: vii, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-132062","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499241,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116364.htm","linkFileType":{"id":5,"text":"html"}},{"id":427913,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990O55F","text":"USGS Data Release","description":"Chan, J.H., Catchings, R.D., Goldman, M.R, Criley, C.J., and Sickler, R.R., 2021, High-resolution seismic data acquired at six Southern California seismic network (SCSN) recording stations in 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P990O55F.","linkHelpText":"High-resolution seismic data acquired at six Southern California seismic network (SCSN) recording stations in 2017"},{"id":427918,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1016/coverthb.jpg"},{"id":427915,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1016/images"},{"id":427914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1016/ofr20241016.pdf","text":"Report","size":"20 MB"},{"id":427917,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241016/full"},{"id":427916,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1016/ofr20241016.xml"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.02522723790126,\n 35.189340133329225\n ],\n [\n -121.02522723790126,\n 33.05031372839122\n ],\n [\n -115.5979811441514,\n 33.05031372839122\n ],\n [\n -115.5979811441514,\n 35.189340133329225\n ],\n [\n -121.02522723790126,\n 35.189340133329225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
U.S. Geological Survey
350 N. Akron Rd.
Moffett Field, CA 94035
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Ocean Exploration Trust 2023 field season","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","doi":"10.62878/vud148","usgsCitation":"Mueller, M., Morrison, C., Sowers, D., and Romanek, C., 2024, Collaborative mapping and characterization offshore of the Hawaiian Islands, 3 p., https://doi.org/10.62878/vud148.","productDescription":"3 p.","startPage":"60","endPage":"62","ipdsId":"IP-162348","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.79226809491234,\n 18.85892200077457\n ],\n [\n -156.72514139674018,\n 20.25295786943228\n ],\n [\n -157.5120022734238,\n 21.09913250792914\n ],\n [\n -158.17224185960652,\n 18.014414343272335\n ],\n [\n -158.02753181331997,\n 17.10038293098839\n ],\n [\n -156.03776867687873,\n 17.04850850228614\n ],\n [\n -155.79226809491234,\n 18.85892200077457\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Mark","contributorId":331034,"corporation":false,"usgs":false,"family":"Mueller","given":"Mark","email":"","affiliations":[{"id":79094,"text":"Bureau of Ocean Energy Management, Office of Environmental Programs","active":true,"usgs":false}],"preferred":false,"id":932043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sowers, Derek","contributorId":214036,"corporation":false,"usgs":false,"family":"Sowers","given":"Derek","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":932045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanek, Christopher","contributorId":207026,"corporation":false,"usgs":false,"family":"Romanek","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":932046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265886,"text":"70265886 - 2024 - Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California","interactions":[],"lastModifiedDate":"2025-04-18T14:40:37.364459","indexId":"70265886","displayToPublicDate":"2024-04-18T09:33:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California","docAbstract":"Climate change and climate variability impacts such as rising sea levels have the potential to exacerbate seawater intrusion and the strain on coastal freshwater resources in already stressed groundwater basins such as those in the Pajaro Valley groundwater basin, California. Regional hydrologic models are often coupled with climate projections to forecast future hydrologic conditions and inform adaptive resources management strategies. However, there is high uncertainty in the future projections of water resources due to uncertainties from downscaling global general circulation models (GCMs) to local scale climate change projections, future land use changes, and the inherent uncertainty of developed hydrologic models. Future climate projections and the magnitude of their influence on modeled hydrologic drivers are highly variable. Therefore, to develop a forecast model, an ensemble of different projections can be used to capture a wider range of basin responses and the associated uncertainties in the modeled forecasts. Understanding the reliability and uncertainty of forecasts is important for developing climate adaptation strategies such as developing protective thresholds, particularly at the basin scale where the impacts are felt, and adaptation is implemented. To demonstrate this, an uncertainty analysis of groundwater level and seawater intrusion forecasts for the Pajaro Valley groundwater basin was performed using an ensemble of three future climate projections with the Pajaro Valley Integrated Hydrologic Model (PVIHM) and the first-order second moment (FOSM) method. FOSM uncertainty analysis of hydrologic forecasts across a multi-GCM climate ensemble provides an upper and lower bound of potential impacts of climate change on sustainability targets related to mitigating seawater intrusion. The groundwater level forecasts’ narrow range of variability can help policymakers in adaptation planning by constraining possible outcomes to a focused range for risk-management decisions. However, less than one-third of groundwater level forecasts met the current protection thresholds to prevent chronic lowering of groundwater. Therefore, sustainability targets may need to be reassessed. Relative to groundwater level changes, the seawater intrusion forecasts had larger uncertainty due to the GCM climate projections and the simulated hydrologic response that were compounded by the propagation of scaling and bias from the GCMs and model simplifications in simulating the coastal boundary.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131226","usgsCitation":"Earll, M.M., Henson, W.R., Lockwood, B., and Boyce, S.E., 2024, Evaluating seawater intrusion forecast uncertainty under climate change in the Pajaro Valley, California: Journal of Hydrology, v. 636, 131226, 17 p., https://doi.org/10.1016/j.jhydrol.2024.131226.","productDescription":"131226, 17 p.","ipdsId":"IP-118873","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":484763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pajaro Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.92596725165258,\n 37.07637156314877\n ],\n [\n -121.92596725165258,\n 36.716849299804664\n ],\n [\n -121.42957626930755,\n 36.716849299804664\n ],\n [\n -121.42957626930755,\n 37.07637156314877\n ],\n [\n -121.92596725165258,\n 37.07637156314877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"636","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Earll, Marisa M. 0000-0002-4367-2013 mearll@usgs.gov","orcid":"https://orcid.org/0000-0002-4367-2013","contributorId":223723,"corporation":false,"usgs":true,"family":"Earll","given":"Marisa","email":"mearll@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockwood, Brian","contributorId":80202,"corporation":false,"usgs":true,"family":"Lockwood","given":"Brian","email":"","affiliations":[],"preferred":false,"id":933960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261736,"text":"70261736 - 2024 - Mechanisms, detections, and impacts of species redistributions under climate change","interactions":[],"lastModifiedDate":"2024-12-20T15:48:11.066677","indexId":"70261736","displayToPublicDate":"2024-04-18T09:23:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms, detections, and impacts of species redistributions under climate change","docAbstract":"Shifts in species distributions are a common ecological response to climate change, and global temperature rise is often hypothesized as the primary driver. However, the directions and rates of distribution shifts are highly variable across species, systems, and studies, complicating efforts to manage and anticipate biodiversity responses to anthropogenic change. In this Review, we summarize approaches to documenting species range shifts, discuss why observed range shifts often do not match our expectations, and explore the impacts of species range shifts on nature and society. The majority (59%) of documented range shifts are directionally consistent with climate change, based on the BioShifts database of range shift observations. However, many observed species have not shifted or have shifted in directions opposite to temperature-based expectations. These lagging or expectation-contrary shifts might be explained by additional biotic or abiotic factors driving range shifts, including additional non-temperature climatic drivers, habitat characteristics, and species interactions, which are not normally considered in range shift documentations. Understanding and managing range shifts will require increasing and connecting observational biological data, generalizing range shift patterns across systems, and predicting shifts at management-relevant timescales.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00527-z","usgsCitation":"Lawlor, J.A., Comte, L., Grenouillet, G., Baecher, J.A., Bandara, R., Bertrand, R., Chen, I., Diamond, S.E., Lancaster, L.T., Moore, N., Murienne, J., Oliveira, B.F., Pecl, G.T., Pinsky, M., Rolland, J., Rubenstein, M.A., Scheffers, B.R., Thompson, L., van Amerom, B., Villalobos, F., Weiskopf, S.R., and Sunday, J., 2024, Mechanisms, detections, and impacts of species redistributions under climate change: Nature Reviews Earth & Environment, v. 5, p. 351-368, https://doi.org/10.1038/s43017-024-00527-z.","productDescription":"18 p.","startPage":"351","endPage":"368","ipdsId":"IP-154985","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467014,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://u-picardie.hal.science/hal-04554209","text":"External Repository"},{"id":465400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawlor, Jake A.","contributorId":347427,"corporation":false,"usgs":false,"family":"Lawlor","given":"Jake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":921691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":921692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grenouillet, Gael","contributorId":347428,"corporation":false,"usgs":false,"family":"Grenouillet","given":"Gael","email":"","affiliations":[],"preferred":false,"id":921693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baecher, J. Alex","contributorId":347429,"corporation":false,"usgs":false,"family":"Baecher","given":"J.","email":"","middleInitial":"Alex","affiliations":[],"preferred":false,"id":921695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bandara, R.M.W.J.","contributorId":347430,"corporation":false,"usgs":false,"family":"Bandara","given":"R.M.W.J.","email":"","affiliations":[],"preferred":false,"id":921696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":921697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, 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Amerom","given":"Brit","email":"","affiliations":[],"preferred":false,"id":921694,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Villalobos, Fabricio","contributorId":347440,"corporation":false,"usgs":false,"family":"Villalobos","given":"Fabricio","email":"","affiliations":[],"preferred":false,"id":921708,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"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":921620,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sunday, Jennifer","contributorId":347441,"corporation":false,"usgs":false,"family":"Sunday","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":921709,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70257269,"text":"70257269 - 2024 - Updates to the Flow Photo Explorer tool","interactions":[],"lastModifiedDate":"2024-08-28T14:19:25.771938","indexId":"70257269","displayToPublicDate":"2024-04-18T09:15:11","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18358,"text":"Flow Photo Explorer","active":true,"publicationSubtype":{"id":30}},"title":"Updates to the Flow Photo Explorer tool","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Fair, J.H., Letcher, B., and Goodling, P.J., 2024, Updates to the Flow Photo Explorer tool: Flow Photo Explorer, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-164874","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":433247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":433246,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://content.govdelivery.com/accounts/USDOIGS/bulletins/397081f","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70253895,"text":"70253895 - 2024 - Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling","interactions":[],"lastModifiedDate":"2024-05-20T15:42:40.394048","indexId":"70253895","displayToPublicDate":"2024-04-18T09:07:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling","title":"Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling","docAbstract":"Control of invasive grass carp (Ctenopharyngodon idella) populations in the Western Lake Erie Basin merits adaptive management guided by the best available science. Presently (2024), capture of mature grass carp in rivers during spawning season is most efficient, so knowing when and where grass carp are spawning is essential information for natural resource agencies. Using bidirectional drift modeling and grass carp ichthyoplankton samples captured in the Maumee River during the 2017–2019 spawning seasons, this study identified 12 probable grass carp spawning areas in the lower 96.5-kilometers of the Maumee River. These spawning areas were located both above and below the Grand Rapids/Providence low-head dams. Three areas showed evidence of multiyear use, while nine had multi-event use. Spawning activity had no definitive diel variation and occurred at an average photoperiod of 15.15 h. The maturation metric ADD15, or annual degree days above 15 degrees Celsius, generally exceeded the 655 threshold for spawning; however, some spawning occurred when ADD15 ≤235, indicating spawners likely matured in a warmwater discharge. The probable spawning areas were generally characterized by mean velocities between 0.4 and 2.1 m per second (with locally higher velocities possible), areas of high turbulence produced by dam spillways or bedrock outcroppings, channel constrictions, confluences, islands, and bridges with piers in the water. Spawning suitability indices (SSI), based on velocity, varied considerably between spawning areas and SSI models. These results could be used to inform control efforts and predict potential grass carp spawning locations in other rivers under threat of invasion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102347","usgsCitation":"Jackson, P.R., Cigrand, C.V., Kocovsky, P.M., King, N.R., Kasprak, A., Lindroth, E., Doyle, H.F., Qian, S.S., and Mayer, C.M., 2024, Reproduction of grass carp (Ctenopharyngodon idella) in the Maumee River, Ohio: Part 1—Spawning area identification using bidirectional drift modeling: Journal of Great Lakes Research, v. 50, 102347, 17 p., https://doi.org/10.1016/j.jglr.2024.102347.","productDescription":"102347, 17 p.","ipdsId":"IP-142521","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439799,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102347","text":"Publisher Index Page"},{"id":434983,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CQ6FYX","text":"USGS data release","linkHelpText":"Hydraulic Model Archive and Fluvial Egg Drift Simulator (FluEgg) Results for Simulations of Invasive Carp Egg and Larval Drift in the Maumee River, Ohio (ver. 1.1, July 2023)"},{"id":428353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.38518414361491,\n 41.68593497191691\n ],\n [\n -83.45979759899954,\n 41.74305978003929\n ],\n [\n -83.66454217332985,\n 41.60155527334871\n ],\n [\n -83.8481872826162,\n 41.471249401310274\n ],\n [\n -84.12554495228478,\n 41.444009750259625\n ],\n [\n -84.20397403397705,\n 41.37227829616401\n ],\n [\n -84.41243215532246,\n 41.2918512649257\n ],\n [\n -84.35316138453301,\n 41.241526198376704\n ],\n [\n -84.09303055462573,\n 41.30190322738565\n ],\n [\n -84.060513011197,\n 41.379455129599705\n ],\n [\n -83.7812377285593,\n 41.39524150503729\n ],\n [\n -83.38518414361491,\n 41.68593497191691\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":900020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Nicole R.","contributorId":239495,"corporation":false,"usgs":false,"family":"King","given":"Nicole","email":"","middleInitial":"R.","affiliations":[{"id":47892,"text":"University of Toledo Lake Erie Center, 6200 Bay Shore Road, Oregon, OH","active":true,"usgs":false}],"preferred":false,"id":900021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":900022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindroth, Evan M. 0000-0002-9746-4359","orcid":"https://orcid.org/0000-0002-9746-4359","contributorId":336138,"corporation":false,"usgs":false,"family":"Lindroth","given":"Evan M.","affiliations":[{"id":80757,"text":"Maricopa County Flood Control District","active":true,"usgs":false}],"preferred":false,"id":900023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doyle, Henry F. 0000-0001-9942-8602 hfdoyle@usgs.gov","orcid":"https://orcid.org/0000-0001-9942-8602","contributorId":243432,"corporation":false,"usgs":true,"family":"Doyle","given":"Henry","email":"hfdoyle@usgs.gov","middleInitial":"F.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":900025,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":900026,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70253125,"text":"70253125 - 2024 - Network connectivity contributes to native small-bodied fish assemblages in the upper Mississippi River system","interactions":[],"lastModifiedDate":"2024-06-03T15:03:49.975123","indexId":"70253125","displayToPublicDate":"2024-04-18T07:15:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17465,"text":"Journal of Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Network connectivity contributes to native small-bodied fish assemblages in the upper Mississippi River system","docAbstract":"In a conservation context, identifying key habitats suitable for reproduction, foraging, or survival is a useful tool, yet challenging for species with large geographic distributions and/or living in remote regions.
The objective of this study is to identify selected habitats at multiple levels and scales of the threatened eastern North American population of golden eagles (Aquila chrysaetos). We studied habitat selection at three levels: landscape (second order of selection), foraging (third order of selection), and nesting (fourth order of selection).
Using tracking data from 30 adults and 366 nest coordinates spanning over a 1.5 million km2 area in remote boreal and Arctic regions, we modelled the three levels of habitat selection with resource selection functions using seven environmental features (aerial, topographical, and land cover). We then calculated the relative probability of selection in the study area to identify regions with higher probabilities of selection.
Eagles selected more for terrain ruggedness index and relative elevation than land cover (i.e., forest cover, distance to water; mean difference in relative selection strength: 1.2 [0.71; 1.69], 95% CI) at all three levels. We also found that the relative probability of selection at all three levels was ~ 25% higher in the Arctic than in the boreal regions. Eagles breeding in the Arctic travelled shorter foraging distances with greater access to habitat with a high probability of selection than boreal eagles.
Here we found which aerial and topographical features were important for several of the eagles’ life cycle needs. We also identified important areas to monitor and preserve this threatened population. The next step is to quantify the quality of habitat by linking our multi-level, multi-scale approach to population demography and performance such as reproductive success.
The location of estuarine organisms varies based on geophysical cycles and environmental conditions, which can strongly bias understanding of organism abundance and distribution. In the San Francisco Estuary, California, extensive monitoring surveys have provided insight into the life history and ecology of certain commercially important or legislatively protected fish species. However, there remains substantial uncertainty in factors influencing the vertical and lateral distributions of many other nekton species in the San Francisco Estuary, including longfin smelt Spirinchus thaleichthys, for whom such distributional information may highly influence interpretation of existing data. We carried out paired sampling using surface and demersal gears to address three questions: (1) Does diel phase influence the vertical position of nekton (e.g., surface versus demersal)? (2) Do environmental conditions, specifically turbidity, influence the vertical and lateral positions of nekton (e.g., center channel versus peripheral shoal)? (3) Does tidal variability influence vertical and lateral distributions of nekton? We documented variability in sampled nekton densities across diel phase (day/night), vertical position (surface/bottom), and lateral position (channel/shoal). Tidal phase and turbidity concentration influenced vertical and lateral distributions for some species at certain locations. Although infrequently encountered, we documented associations of longfin smelt with the lower water column and shoal habitats, with some evidence for upward vertical shifts in low light conditions brought about by nightfall or elevated turbidity. Observed habitat associations provide insight into how interacting geophysical and environmental factors may influence the distribution of nekton and thus the vulnerability of individual species to detection by sampling gears.
The risk of lampricide applications (such as 4-nitro-3-[trifluoromethyl]phenol [TFM]) to nontarget fauna continues to be a concern within the Great Lakes Fishery Commission Sea Lamprey Control Program, especially among imperiled aquatic species—such as native freshwater mussels. The Grand River (Ohio, USA) is routinely treated for larval sea lampreys (Petromyzon marinus), and this river contains populations of the federally threatened mussel Obovaria subrotunda. Given this spatial overlap, information on the sensitivity of O. subrotunda to TFM is needed. Our objectives were to assess the toxicity of TFM to (1) adult Obovaria olivaria (a surrogate for O. subrotunda), (2) glochidial larvae of O. olivaria and O. subrotunda, (3) juveniles of O. olivaria and O. subrotunda, and (4) adult Percina maculata (host for O. subrotunda glochidia). In acute toxicity tests, TFM was not toxic to glochidia and adult mussels at exposure concentrations that exceed typical treatment rates. Although significant dose–response relationships were observed in hosts and juveniles, survival was ≥95% (Percina maculata), ≥93% (O. olivaria), and ≥74% (O. subrotunda) at typical treatment rates. However, the steep slope of these dose–response relationships indicates that an approximately 20% difference in the treatment level can result in nearly an order of magnitude difference in survival. Collectively, these data indicate that routine sea lamprey control operations are unlikely to acutely affect these species or their host. However, given that many mussel species are long-lived (30–100 years), the risks posed by lampricide treatments in the Great Lakes would be further informed by research on the potential long-term effects of lampricides on imperiled species. Environ Toxicol Chem 2024;00:1–8. Published 2024. This article is a U.S. Government work and is in the public domain in the USA.
Adaptive capacity (AC), defined as the ability of a species to cope with or adjust to climate change, is a critical determinant of species vulnerability and has been widely applied in wildlife contexts (IPCC 2014, Thurman et al. 2020). This process can be further defined with respect to intrinsic capacities versus extrinsic constraints on AC (Beever et al. 2016, Thurman et al. 2020). Previous applications of AC to biological systems have largely occurred through climate change vulnerability assessments (CCVAs; Thurman et al. 2020), and select examples exist in wildlife applications (Beever et al. 2023, Thurman et al. 2022). However, there is little understanding and application of adaptive capacity to inland fishes given previous emphases on trait-based approaches and population-level management. Therefore, there are substantial opportunities to improve our understanding of AC for inland fishes to explore climate impacts and the mechanisms by which interventions affect AC and resulting climate vulnerability.
","language":"English","publisher":"Midwest Climate Adaptation Science Center","usgsCitation":"Embke, H.S., Bunnell, D.B., LeDee, O.E., and Suski, C., 2024, Adaptive capacity of Inland Fishes Workshop Summary, 7 p.","productDescription":"7 p.","ipdsId":"IP-162579","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427805,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://mwcasc.umn.edu/node/1041"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":898876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeDee, Olivia E. 0000-0002-7791-5829 oledee@usgs.gov","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":242820,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia","email":"oledee@usgs.gov","middleInitial":"E.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":898878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suski, Cory","contributorId":367838,"corporation":false,"usgs":false,"family":"Suski","given":"Cory","affiliations":[],"preferred":false,"id":898879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257510,"text":"70257510 - 2024 - Wildlife stewardship on Tribal lands: Our place is in our soul By Serra J. Hoagland and Steven Albert (Eds.), Baltimore, Maryland: Johns Hopkins University Press. 2023. pp. 432. $59.95 (hardcover). ISBN 978-1-4214-4657-8","interactions":[],"lastModifiedDate":"2024-09-10T16:24:54.574693","indexId":"70257510","displayToPublicDate":"2024-04-17T11:16:29","publicationYear":"2024","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":"Wildlife stewardship on Tribal lands: Our place is in our soul By Serra J. Hoagland and Steven Albert (Eds.), Baltimore, Maryland: Johns Hopkins University Press. 2023. pp. 432. $59.95 (hardcover). ISBN 978-1-4214-4657-8","docAbstract":"Despite thousands of years of land stewardship by Indigenous Peoples, Western ideology and science predominantly influences wildlife management in North America today. Indigenous science and Traditional Ecological Knowledge (TEK) extend beyond the scope of Western science and ecological understanding to include knowledge derived from generations of people living as part of ecosystems (Rinkevich 2008). Historically, Western science and TEK have operated separately, resulting in the exclusion of Indigenous Peoples and TEK in wildlife science and management, which has led to significant knowledge gaps in Western science. Today, many practitioners are seeking ways to study and manage wildlife in more inclusive ways that integrate multiple perspectives, including those from Indigenous communities, wildlife managers, researchers, and academics.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22585","usgsCitation":"Ford, J.M., Melendez Perez, A., Gapinski, L., Kaloczi, J.M., Rohde, M., Siddons, T., Wilson, R.O., Yappert, A.A., and Klaver, R.W., 2024, Wildlife stewardship on Tribal lands: Our place is in our soul By Serra J. Hoagland and Steven Albert (Eds.), Baltimore, Maryland: Johns Hopkins University Press. 2023. pp. 432. $59.95 (hardcover). ISBN 978-1-4214-4657-8: Journal of Wildlife Management, v. 88, no. 6, e22585, 4 p., https://doi.org/10.1002/jwmg.22585.","productDescription":"e22585, 4 p.","ipdsId":"IP-162166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22585","text":"Publisher Index Page"},{"id":433670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ford, Johanna M. H.","contributorId":343007,"corporation":false,"usgs":false,"family":"Ford","given":"Johanna","email":"","middleInitial":"M. H.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melendez Perez, Ambar A.","contributorId":343010,"corporation":false,"usgs":false,"family":"Melendez Perez","given":"Ambar A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gapinski, Lindsey A. W.","contributorId":343013,"corporation":false,"usgs":false,"family":"Gapinski","given":"Lindsey A. W.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaloczi, Juliana M.","contributorId":343014,"corporation":false,"usgs":false,"family":"Kaloczi","given":"Juliana","email":"","middleInitial":"M.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohde, Michael","contributorId":343017,"corporation":false,"usgs":false,"family":"Rohde","given":"Michael","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siddons, Taylor","contributorId":343020,"corporation":false,"usgs":false,"family":"Siddons","given":"Taylor","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Riggs O.","contributorId":343022,"corporation":false,"usgs":false,"family":"Wilson","given":"Riggs","email":"","middleInitial":"O.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yappert, Aaron A.","contributorId":343025,"corporation":false,"usgs":false,"family":"Yappert","given":"Aaron","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":910579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":910580,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264107,"text":"70264107 - 2024 - Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub","interactions":[],"lastModifiedDate":"2025-03-06T15:06:01.104166","indexId":"70264107","displayToPublicDate":"2024-04-17T08:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20201,"text":"PLOS Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub","docAbstract":"Coronavirus Disease 2019 (COVID-19) continues to cause significant hospitalizations and deaths in the United States. Its continued burden and the impact of annually reformulated vaccines remain unclear. Here, we present projections of COVID-19 hospitalizations and deaths in the United States for the next 2 years under 2 plausible assumptions about immune escape (20% per year and 50% per year) and 3 possible CDC recommendations for the use of annually reformulated vaccines (no recommendation, vaccination for those aged 65 years and over, vaccination for all eligible age groups based on FDA approval).
The COVID-19 Scenario Modeling Hub solicited projections of COVID-19 hospitalization and deaths between April 15, 2023 and April 15, 2025 under 6 scenarios representing the intersection of considered levels of immune escape and vaccination. Annually reformulated vaccines are assumed to be 65% effective against symptomatic infection with strains circulating on June 15 of each year and to become available on September 1. Age- and state-specific coverage in recommended groups was assumed to match that seen for the first (fall 2021) COVID-19 booster. State and national projections from 8 modeling teams were ensembled to produce projections for each scenario and expected reductions in disease outcomes due to vaccination over the projection period.
From April 15, 2023 to April 15, 2025, COVID-19 is projected to cause annual epidemics peaking November to January. In the most pessimistic scenario (high immune escape, no vaccination recommendation), we project 2.1 million (90% projection interval (PI) [1,438,000, 4,270,000]) hospitalizations and 209,000 (90% PI [139,000, 461,000]) deaths, exceeding pre-pandemic mortality of influenza and pneumonia. In high immune escape scenarios, vaccination of those aged 65+ results in 230,000 (95% confidence interval (CI) [104,000, 355,000]) fewer hospitalizations and 33,000 (95% CI [12,000, 54,000]) fewer deaths, while vaccination of all eligible individuals results in 431,000 (95% CI: 264,000–598,000) fewer hospitalizations and 49,000 (95% CI [29,000, 69,000]) fewer deaths.
COVID-19 is projected to be a significant public health threat over the coming 2 years. Broad vaccination has the potential to substantially reduce the burden of this disease, saving tens of thousands of lives each year.
The tire rubber-derived ozonation product of N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD), N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q), was recently discovered to cause acute mortality in Coho Salmon (Oncorhynchus kisutch). para-Phenylenediamines (PPDs) with variable side chains distinct from 6PPD have been identified as potential replacement commercial antioxidants, but their structure-related ozone reactivities and toxicities remain unexplored. We herein tested the multiphase gas-surface ozone reactivity of four select PPDs and evaluated the toxicity of their reaction mixtures in Coho Salmon and Rainbow Trout (Oncorhynchus mykiss). 6PPD and N-Isopropyl-N'-phenyl-p-phenylenediamine (IPPD) were found to rapidly react with ozone to form 22 and 16 transformation products, respectively, including PPD-Qs. No significant multiphase ozone reactivity was observed for N,N'-Diphenyl-p-phenylenediamine (DPPD) or N-Cyclohexyl-N'-phenyl-p-phenylenediamine (CPPD) despite their structural similarity to 6PPD. The viability of Coho Salmon CSE-119 cells was strongly affected by the ozonolysis products of 6PPD, but not by those of the other three PPDs. The cytotoxicity of the 6PPD reaction mixture increased with ozonolysis time, with the strongest toxicity being observed after 7 days of oxidation by 100 ppb of ozone. As with Coho Salmon cells, acute mortality was only observed in juvenile Rainbow Trout that were exposed to the oxidized 6PPD reaction mixture, suggesting a common mechanism of toxic action in the two salmonid fish species. Compound- and regio-selective formation of hydroxylated metabolites of 6PPD-Q were detected in Rainbow Trout exposed to the 6PPD reaction mixture, which may be related to its selective toxicity. This study reports the structurally selective ozone reactivity of PPDs, and the unique toxicity of 6PPD ozonolysis mixtures, which demonstrates that other PPDs are potential alternative antioxidants.
","language":"English","publisher":"ChemRxiv","doi":"10.26434/chemrxiv-2024-jmptn","usgsCitation":"Xie, L., Yu, J., Nair, P., Sun, J., Barrett, H., Meek, O., Qian, X., Yang, D., Kennedy, L.V., Kozakiewicz, D., Hao, C., Hansen, J.D., Greer, J.B., Abbatt, J.P., and Peng, H., 2024, Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout: ChemRxiv, https://doi.org/10.26434/chemrxiv-2024-jmptn.","productDescription":"32 p.","ipdsId":"IP-164203","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":439825,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.26434/chemrxiv-2024-jmptn","text":"External Repository"},{"id":431222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xie, Linna","contributorId":340051,"corporation":false,"usgs":false,"family":"Xie","given":"Linna","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Jie","contributorId":340052,"corporation":false,"usgs":false,"family":"Yu","given":"Jie","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nair, Pranav","contributorId":340053,"corporation":false,"usgs":false,"family":"Nair","given":"Pranav","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Jianxian","contributorId":340054,"corporation":false,"usgs":false,"family":"Sun","given":"Jianxian","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrett, Holly","contributorId":340055,"corporation":false,"usgs":false,"family":"Barrett","given":"Holly","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meek, Oliver","contributorId":340056,"corporation":false,"usgs":false,"family":"Meek","given":"Oliver","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qian, Xing","contributorId":340057,"corporation":false,"usgs":false,"family":"Qian","given":"Xing","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906025,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Diwen","contributorId":340058,"corporation":false,"usgs":false,"family":"Yang","given":"Diwen","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906026,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kennedy, Lisa V.","contributorId":201905,"corporation":false,"usgs":false,"family":"Kennedy","given":"Lisa","email":"","middleInitial":"V.","affiliations":[{"id":36284,"text":"Western Ontario University, London, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":906027,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kozakiewicz, Derek","contributorId":340059,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Derek","email":"","affiliations":[{"id":81443,"text":"Ontario Ministry of the Environment, Conservation and Parks, Environmental Sciences and Standards Division","active":true,"usgs":false}],"preferred":false,"id":906028,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hao, Chunyan","contributorId":340061,"corporation":false,"usgs":false,"family":"Hao","given":"Chunyan","email":"","affiliations":[{"id":81443,"text":"Ontario Ministry of the Environment, Conservation and Parks, Environmental Sciences and Standards Division","active":true,"usgs":false}],"preferred":false,"id":906030,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906031,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906032,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Abbatt, Jonathan P.D.","contributorId":340062,"corporation":false,"usgs":false,"family":"Abbatt","given":"Jonathan","email":"","middleInitial":"P.D.","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906033,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peng, Hui","contributorId":340063,"corporation":false,"usgs":false,"family":"Peng","given":"Hui","email":"","affiliations":[{"id":81444,"text":"University of Toronto, School of the Environment, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":906034,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70254260,"text":"70254260 - 2024 - Comparison of two methods to detect the northwestern pond turtle (Actinemys marmorata) and the invasive American bullfrog (Lithobates catesbeianus) in interior northern California","interactions":[],"lastModifiedDate":"2024-07-15T15:07:31.419334","indexId":"70254260","displayToPublicDate":"2024-04-17T06:58:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of two methods to detect the northwestern pond turtle (Actinemys marmorata) and the invasive American bullfrog (Lithobates catesbeianus) in interior northern California","title":"Comparison of two methods to detect the northwestern pond turtle (Actinemys marmorata) and the invasive American bullfrog (Lithobates catesbeianus) in interior northern California","docAbstract":"Knowledge about the distributions of species and the variables influencing their occurrence is important for their management and conservation, but factors affecting occurrence can vary across the range of a species. Northwestern pond turtles (Actinemys marmorata) are widespread generalist turtles, but are nonetheless of conservation concern throughout their range. To better understand the distribution of northwestern pond turtles and introduced American bullfrogs (Lithobates catesbeianus), we surveyed streams on private timberlands of the interior foothills of northern California using visual encounter surveys and collecting samples of environmental DNA. We found that northwestern pond turtle occurrence was negatively related to elevation in our sampling frame. Detection probabilities with environmental DNA were approximately twice those of visual encounter surveys, but both methods were effective for detecting turtles in streams. American bullfrogs were detected in a single sample at each of 2 sites (one by environmental DNA, one by visual encounter surveys). Management for northwestern pond turtles in forest streams within our sample area will likely have the largest effect at lower elevation sites where turtles are most likely to occur.
Biological soil crusts (biocrusts) can thrive under environmental conditions that are stressful for vascular plants such as high temperatures and/or extremely low moisture availability. In these settings, and in the absence of disturbance, cover of biocrusts commonly exceeds cover of vascular plants. Arid landscapes are also typically slow to recover from disturbance and prone to altered vegetation and invasion by exotic species. In the sagebrush ecosystems, cover of annual, exotic, invasive grasses are lower where cover of biocrusts and vascular plants are greater, suggesting that biocrusts play a role in helping arid sites avoid conversion to dominance by invasive grasses. The conceptual framework for assessing ecological resistance and resilience (R&R) is used across the region to estimate the risk of invasion by annual grasses and the likelihood of recovery of native plants following disturbance. However, this framework does not currently account for biocrusts. We used data collected by the Bureau of Land Management Assessment, Inventory, and Monitoring program to relate biocrusts, specifically the presence of lichens and mosses, to the R&R framework. Lichens frequently occur on warm, dry sites, classified as lower R&R. Mosses frequently occur on sites classified as moderate or moderately low R&R. Without management practices that favor biocrusts in low-moderate R&R, these areas may be more vulnerable to transitioning from being dominated by shrubs to annual grasses. Under climate change scenarios, the area occupied by lower R&R sites is likely to increase, suggesting that the role of biocrusts in maintaining site resistance to invasion may also increase.
Within governance agencies, academia, and communities alike, there are increasing calls to recognize the value and importance of culture within social-ecological systems and to better implement Indigenous sciences in research, policy, and management. Efforts thus far have raised questions about the best ethical practices to do so. Engaging with plural worldviews and perspectives on their own terms reflects cultural evolutionary processes driving paradigm shifts in 3 fundamental areas of natural resource management: conceptualizations of natural resources and ecosystems, processes of public participation and governance, and relationships with Indigenous Peoples and communities with differing worldviews. We broadly describe evolution toward these paradigm shifts in fish and wildlife management. We then use 3 case studies to illustrate the ongoing cultural evolution of relationships between wildlife management and Indigenous practices within specific historical and social-ecological contexts and reflect on common barriers to appropriately engaging with Indigenous paradigms and lifeways. Our case studies highlight 3 priorities that can assist the field of wildlife management in achieving the changes necessary to bridge incommensurable worldviews: acknowledging and reconciling historical legacies and their continued power dynamics as part of social-ecological systems, establishing governance arrangements that move beyond attempts to extract cultural information from communities to integrate Indigenous Knowledges into dominant management paradigms, and engaging in critical reflexivity and reciprocal, accountable relationship building. Implementing these changes will take time and a commitment to processes that may initially feel uncomfortable and unfamiliar but have potential to be transformative. Ethical and culturally appropriate methods to include plural and multivocal perspectives and worldviews on their own terms are needed to transform wildlife management to achieve more effective and just management outcomes for all.