Invasive riparian plants were introduced to the American Southwest in the early 19th century and contributed to regional trends of decreasing river channel width and migration rate in the 20th century. More recently, efforts to remove invasive riparian vegetation (IRV) have been widespread, especially since 1990. To what extent has IRV treatment reversed the earlier trend of channel narrowing and reduced dynamism? In this study, paired treated and untreated reaches at 15 sites along 13 rivers were compared before and after IRV treatment using repeat aerial imagery to assess long-term (~10-year) channel change due to treatment on a regional scale across the Southwest USA. We found that IRV treatment significantly increased channel width and floodplain destruction. Treated reaches had higher floodplain destruction than untreated reaches at 14 of 15 sites, and IRV treatment increased the rate of floodplain destruction by a median factor of 1.9. The effect of treatment increased with the stream power of the largest flow over the study period. Resolving observations of channel change into separate measures of floodplain destruction and formation provided more information on underlying processes than simple measurements of channel width and centerline migration rate. Restoration practitioners who perform IRV treatment projects often focus on wildlife or vegetation response; however, geomorphic processes should be considered in restoration planning because they drive aquatic habitat and vegetation dynamics, and because of the potential for damage to downstream infrastructure. Depending on the restoration goal, management practices can be used to enhance or minimize the increase in channel dynamism caused by IRV treatment.
Tree-derived dissolved organic matter (DOM) comprises a significant carbon flux within forested watersheds. Few studies have assessed the optical properties of tree-derived DOM. To increase understanding of the factors controlling tree-derived DOM quality, we measured DOM optical properties, dissolved organic carbon (DOC) and calcium concentrations in throughfall and stemflow for 17 individual rain events during summer and fall in a temperate deciduous forest in Vermont, United States. DOC and calcium fluxes in throughfall and stemflow were enriched on average 4 to 70 times incident fluxes in rain. A multiway model was developed using absorbance and fluorescence spectroscopy to further characterize DOM optical properties. Throughfall contained a higher percentage of protein-like DOM fluorescence than stemflow while stemflow was characterized by a higher percentage of humic-like DOM fluorescence. DOM absorbance spectral slopes in yellow birch (Betula alleghaniensis) stemflow were significantly higher than in sugar maple (Acer saccharum) stemflow. DOM optical metrics were not influenced by rainfall volume, but percent protein-like fluorescence increased in throughfall during autumn when leaves senesced. Given the potential influence of tree-derived DOM fluxes on receiving soils and downstream ecosystems, future modeling of DOM transport and soil biogeochemistry should represent the influence of differing DOM quality in throughfall and stemflow across tree species and seasons.
","language":"English","publisher":"Springer Link","doi":"10.1007/s10533-022-00985-x","usgsCitation":"Ryan, K.A., Adler, T., Chalmers, A.T., Perdrial, J., Sebestyen, S., Shanley, J.B., and Stubbins, A., 2023, Optical properties of dissolved organic matter in throughfall and stemflow vary across tree species and season in a temperate headwater forest: Biogeochemistry, v. 164, p. 53-72, https://doi.org/10.1007/s10533-022-00985-x.","productDescription":"20 p.","startPage":"53","endPage":"72","ipdsId":"IP-142839","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":445339,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-022-00985-x","text":"Publisher Index Page"},{"id":408608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.05866635329214,\n 44.34647865583793\n ],\n [\n -72.40758066011205,\n 44.34647865583793\n ],\n [\n -72.40758066011205,\n 44.188052738709075\n ],\n [\n -72.05866635329214,\n 44.188052738709075\n ],\n [\n -72.05866635329214,\n 44.34647865583793\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"164","noUsgsAuthors":false,"publicationDate":"2022-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin A 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":270682,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adler, Thomas","contributorId":244156,"corporation":false,"usgs":false,"family":"Adler","given":"Thomas","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":855450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebestyen, Stephen","contributorId":298358,"corporation":false,"usgs":false,"family":"Sebestyen","given":"Stephen","affiliations":[{"id":64539,"text":"U.S. Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":855453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":855455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238860,"text":"70238860 - 2023 - Hydrologic modeling of a perennial firn aquifer in southeast Greenland","interactions":[],"lastModifiedDate":"2023-05-25T15:34:49.215581","indexId":"70238860","displayToPublicDate":"2022-10-20T06:56:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modeling of a perennial firn aquifer in southeast Greenland","docAbstract":"A conceptual model, based on field observations and assumed physics of a perennial firn aquifer near Helheim Glacier (southeast Greenland), is evaluated via steady-state 2-D simulation of liquid water flow and energy transport with phase change. The simulation approach allows natural representation of flow and energy advection and conduction that occur in vertical meltwater recharge through the unsaturated zone and in lateral flow within the saturated aquifer. Agreement between measured and simulated aquifer geometry, temperature, and recharge and discharge rates confirms that the conceptual field-data-based description of the aquifer is consistent with the primary physical processes of groundwater flow, energy transport and phase change. Factors that are found to control simulated aquifer configuration include surface temperature, meltwater recharge rate, residual total-water saturation and capillary fringe thickness. Simulation analyses indicate that the size of perennial firn aquifers depends primarily on recharge rates from surface snowmelt. Results also imply that the recent aquifer expansion, likely due to a warming climate, may eventually produce lakes on the ice-sheet surface that would affect the surface energy balance.
The numerical estimation of the position of the water table in unconfined aquifers is important for many practical applications. Its determination through observations or analytical methods is restricted to a few cases. Therefore, it is often estimated through numerical simulations, which may be affected by numerical artifacts and/or poor stability. We use MODFLOW to estimate the position of the water table for a seemingly simple example problem and demonstrate difficulties that can be faced when performing this kind of numerical simulation. We explain the causes for the numerical challenges that originate from the properties of the mathematical equations that must be solved. Based on the results of more than 600 steady-state simulations, we show how the stability of the numerical solution can be affected by the values of physical parameters that define the problem (e.g., recharge rate, anisotropy ratio, and other parameters that control the numerical algorithm such as settings of the linear and nonlinear solution methods). Finally, we comment on some best practices to apply numerical simulations to estimate the water table position.
Population monitoring is essential to management and conservation efforts for migratory birds, but traditional low-altitude aerial surveys with human observers are plagued by individual observer bias and risk to flight crews. Aerial surveys that use remote sensing can reduce bias and risk, but manual counting of wildlife in imagery is laborious and may be cost-prohibitive. Therefore, automated methods for counting are critical to cost-efficient application of remote sensing for wildlife surveys covering large areas. We conducted nocturnal surveys of sandhill cranes (Antigone canadensis) during spring migration in the Central Platte River Valley of Nebraska, USA, using midwave thermal infrared sensors. We developed a framework for automated counting of sandhill cranes from thermal imagery using deep learning, assessed and compared the performance of two automated counting models, and quantified the effect of spatial resolution on counting accuracy. Aerial thermal imagery data were collected in March 2018 and 2021; 40 images were analyzed. We applied two deep learning models: an object detection approach, Faster R-CNN and a recently developed pixel-density estimation approach, ASPDNet. Model performance was determined using data independent of the training imagery. The effect of spatial resolution was quantified with a beta regression on relative error. Our results showed model accuracy of 9% mean percent error for ASPDNet and 18% for Faster R-CNN. Most error was related to the undercounting of sandhill cranes. ASPDNet had <50% of the error of Faster R-CNN as measured by mean percent error, root-mean-squared error and mean absolute error. Spatial resolution affected accuracy of both models, with error rate increasing with coarser resolution, particularly with Faster R-CNN. Deep learning models, particularly pixel-density estimators, can accurately automate counting of migratory birds in a dense, aggregate setting such as nocturnal roosting sites.
","language":"English","publisher":"Zoological Society of London","doi":"10.1002/rse2.301","usgsCitation":"Luz-Ricca, E., Landolt, K.L., Pickens, B.A., and Koneff, M.D., 2023, Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning: Remote Sensing in Ecology and Conservation, v. 9, no. 2, p. 182-194, https://doi.org/10.1002/rse2.301.","productDescription":"13 p.","startPage":"182","endPage":"194","ipdsId":"IP-137740","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445346,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.301","text":"Publisher Index Page"},{"id":435568,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DZKFQ3","text":"USGS data release","linkHelpText":"Aerial thermal imagery of the Central Platte River Valley and bounding box annotations of sandhill cranes"},{"id":419747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.4602621702348,\n 40.829394227542565\n ],\n [\n -99.14401866960671,\n 40.829394227542565\n ],\n [\n -99.14401866960671,\n 40.57838905213882\n ],\n [\n -98.4602621702348,\n 40.57838905213882\n ],\n [\n -98.4602621702348,\n 40.829394227542565\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Luz-Ricca, Emilio","contributorId":298780,"corporation":false,"usgs":false,"family":"Luz-Ricca","given":"Emilio","email":"","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":880036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landolt, Kyle Lawrence 0000-0002-6738-8586","orcid":"https://orcid.org/0000-0002-6738-8586","contributorId":298782,"corporation":false,"usgs":true,"family":"Landolt","given":"Kyle","email":"","middleInitial":"Lawrence","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":880038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koneff, Mark D.","contributorId":191128,"corporation":false,"usgs":false,"family":"Koneff","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":880039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238015,"text":"70238015 - 2023 - Embedded critical material flow: The case of niobium, the United States, and China","interactions":[],"lastModifiedDate":"2022-11-03T22:43:29.946745","indexId":"70238015","displayToPublicDate":"2022-10-17T13:25:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10927,"text":"Resources, Conservation & Recycling","active":true,"publicationSubtype":{"id":10}},"title":"Embedded critical material flow: The case of niobium, the United States, and China","docAbstract":"Niobium, often classified as critical, is typically embedded within steels essential for infrastructure and transportation. Most niobium-consuming countries are import-dependent on primary stage niobium, meaning traditional material flow analysis, which often excludes critical commodities embedded within products of large-scale industries, would miss important flows in the fabrication and manufacturing stages and underestimate niobium consumption. This study presents the first dynamic (2000–2020) niobium flow analysis for two niobium-consuming, net import-dependent countries: the United States (U.S.) and China. Results demonstrate that the U.S. is import-dependent throughout all stages of the niobium flow cycle including embedded and primary flows, whereas China is only import-dependent on primary niobium. Moreover, while most U.S. imports of niobium embedded within (semi-)finished goods are consumed domestically, most niobium-containing goods manufactured in China are exported, suggesting a supply disruption would affect their economies differently. This research demonstrates the necessity of embedded flows for criticality assessments and evaluating supply restrictions.
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0000-0003-0989-7910","orcid":"https://orcid.org/0000-0003-0989-7910","contributorId":298841,"corporation":false,"usgs":false,"family":"Jowitt","given":"Simon","email":"","middleInitial":"M.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":856565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":856566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bird, Laurence R. 0000-0002-6034-9533","orcid":"https://orcid.org/0000-0002-6034-9533","contributorId":298842,"corporation":false,"usgs":false,"family":"Bird","given":"Laurence R.","affiliations":[],"preferred":false,"id":856567,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240726,"text":"70240726 - 2023 - Ophidiomycosis is related to seasonal patterns of reproduction, ecdysis, and thermoregulatory behavior in a free-living snake species","interactions":[],"lastModifiedDate":"2023-02-16T17:49:10.210979","indexId":"70240726","displayToPublicDate":"2022-10-17T11:44:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Ophidiomycosis is related to seasonal patterns of reproduction, ecdysis, and thermoregulatory behavior in a free-living snake species","docAbstract":"Informed and effective management of emerging infectious diseases can be improved by a clear understanding of host–pathogen–environment interactions. Impacts of the seasonal environment on pathogen dynamics and host responses are poorly described in most reptile host–fungal pathogen systems. Here, we describe seasonal patterns of ophidiomycosis, a disease caused by the fungus Ophidiomyces ophidiicola (Oo), in a population of pygmy rattlesnakes, Sistrurus miliarius, in central Florida. We used field observations of gross clinical signs of disease in combination with qPCR on skin swabs to examine the seasonal prevalence of Oo and patterns of clinical presentation in hosts. We monitored thermoregulatory behaviors, ecdysis, and reproductive status in free-living snakes to examine seasonal associations between infection and host coping responses. Both the prevalence of Oo and clinical signs of disease varied strongly with the season (winter high and summer low). In both seasons, the presence of clinical signs was a strong predictor of the presence of Oo as identified by qPCR on skin swabs (78% probability across seasons). Snakes with clinical signs of disease were more likely to be observed exhibiting thermoregulatory behavior or in ecdysis compared to non-clinical snakes across seasons. The prevalence of Oo was not significantly different in pregnant snakes compared to other reproductive categories, but pregnant females were less likely to exhibit clinical signs of disease compared to males. Our results highlight strong seasonal patterns in both host clinical signs and Oo prevalence and support the efficacy of using gross clinical signs of disease in combination with qPCR on skin swabs to assess disease dynamics in free-living snakes. We also identify ecdysis and thermoregulatory behaviors as components of the seasonal disease-coping response and highlight the need to examine these behaviors as potential drivers of seasonal infection outcomes in reptiles afflicted with fungal pathogens.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/jzo.13024","usgsCitation":"Lind, C.M., Agugliaro, J., Lorch, J.M., and Farrell, T.M., 2023, Ophidiomycosis is related to seasonal patterns of reproduction, ecdysis, and thermoregulatory behavior in a free-living snake species: Journal of Zoology, v. 319, p. 54-62, https://doi.org/10.1111/jzo.13024.","productDescription":"9 p.","startPage":"54","endPage":"62","ipdsId":"IP-141852","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":413138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"319","noUsgsAuthors":false,"publicationDate":"2022-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lind, C. M.","contributorId":302494,"corporation":false,"usgs":false,"family":"Lind","given":"C.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":864542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agugliaro, J.","contributorId":302495,"corporation":false,"usgs":false,"family":"Agugliaro","given":"J.","affiliations":[],"preferred":false,"id":864543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":864544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, T. M.","contributorId":302496,"corporation":false,"usgs":false,"family":"Farrell","given":"T.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":864545,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237623,"text":"70237623 - 2023 - Streamlined approach for assessing embedded consumption of lithium and cobalt in the United States","interactions":[],"lastModifiedDate":"2023-03-01T16:55:41.096762","indexId":"70237623","displayToPublicDate":"2022-10-17T08:34:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2351,"text":"Journal of Industrial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Streamlined approach for assessing embedded consumption of lithium and cobalt in the United States","docAbstract":"In today's complex global supply chains, time and data intensive analyses are required to understand global flows of mineral commodities from mine to consumer, particularly for mineral commodities in products (electronics, automobiles, etc.) that contain multiple parts with many mineral commodities. National and regional analyses require additional time and data to incorporate international trade flows. However, data limitations and time constraints often prohibit global and national material flow analyses for minor metals. Here we present a methodological approach to circumvent these constraints by utilizing readily available industry-level global data from the United Nations Statistics Division and national industrial data to estimate total requirements for a mineral commodity. We apply this approach to lithium and cobalt use in the United States for the year 2018 and distinguish between apparent raw material consumption versus inferred embedded consumption of lithium and cobalt materials in all forms. The results show that more than half of the United States’ total requirements for both lithium and cobalt is in parts and products that were manufactured outside the United States. In large part, this is due to limited US manufacturing capability for lithium-ion battery materials and cells and the United States’ high import reliance for electronics that use those batteries.
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central Utah, USA","docAbstract":"Holocene sediments at Emerald Lake in central Utah (3090 m asl) document the paleohydroclimatic history of the western Upper Colorado River headwater region. Multi-proxy analyses of sediment composition, mineralogy, and stable isotopes of carbonate (δ18O and δ13C) show changes in effective moisture for the past ca. 10,000 years at millennial to decadal timescales. Emerald Lake originated as a shallow, closed-basin cirque pond during the Early Holocene. By ca. 7000 cal yr BP, higher lake levels and carbonate δ18O values indicate rising effective moisture and higher proportions of summer precipitation continued at least until ca. 5500 cal yr BP when a landslide entered the lake margin. Between ca. 4500 and 2400 cal yr BP dry conditions at Emerald Lake envelop the timing of the ‘Late Holocene Dry Period’ identified at lower elevations. For the past ca. 2500 years, Emerald Lake δ18O values were relatively low, indicating wetter conditions and higher snow input (compared to rain), except for dry periods at ca. 2000 cal yr BP and during the Medieval Climate Anomaly at ca. 1000 and ca. 500 cal yr BP. Results provide a long-term perspective on precipitation extremes that influence regional water supplies from a snow-dominated catchment typical of the predominant source region for the Upper Colorado River.
Influenza A viruses (IAV) circulate endemically among many wild aquatic bird populations that seasonally migrate between wintering grounds in southern latitudes to breeding ranges along the perimeter of the circumpolar arctic. Arctic and subarctic zones are hypothesized to serve as ecologic drivers of the intercontinental movement and reassortment of IAVs due to high densities of disparate populations of long distance migratory and native bird species present during breeding seasons. Iceland is a staging ground that connects the East Atlantic and North Atlantic American flyways, providing a unique study system for characterizing viral flow between eastern and western hemispheres. Using Bayesian phylodynamic analyses, we sought to evaluate the viral connectivity of Iceland to proximal regions and how inter-species transmission and reassortment dynamics in this region influence the geographic spread of low and highly pathogenic IAVs. Findings demonstrate that IAV movement in the arctic and subarctic reflects wild bird migration around the perimeter of the circumpolar north, favouring short-distance flights between proximal regions rather than long distance flights over the polar interior. Iceland connects virus movement between mainland Europe and North America, consistent with the westward migration of wild birds from mainland Europe to Northeastern Canada and Greenland. Though virus diffusion rates were similar among avian taxonomic groups in Iceland, gulls play an outsized role as sinks of IAVs from other avian hosts prior to onward migration. These data identify patterns of virus movement in northern latitudes and inform future surveillance strategies related to seasonal and emergent IAVs with potential public health concern.
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Suðurnes","active":true,"usgs":false}],"preferred":false,"id":855479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ragnarsdottir, Sunna Bjork","contributorId":298377,"corporation":false,"usgs":false,"family":"Ragnarsdottir","given":"Sunna","email":"","middleInitial":"Bjork","affiliations":[{"id":40188,"text":"Icelandic Institute of Natural History","active":true,"usgs":false}],"preferred":false,"id":855480,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jonsson, Jon Einar","contributorId":156367,"corporation":false,"usgs":false,"family":"Jonsson","given":"Jon","email":"","middleInitial":"Einar","affiliations":[{"id":20328,"text":"University of Iceland, Snæfellsnes Research Centre, Stykkishólmur, Iceland 245.","active":true,"usgs":false}],"preferred":false,"id":855481,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krauss, Scott","contributorId":190854,"corporation":false,"usgs":false,"family":"Krauss","given":"Scott","email":"","affiliations":[],"preferred":false,"id":855482,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sook-San, Wong.","contributorId":298378,"corporation":false,"usgs":false,"family":"Sook-San","given":"Wong.","email":"","affiliations":[{"id":64548,"text":"9 State-Key Laboratory of Respiratory Diseases, Guangzhou Medical University","active":true,"usgs":false}],"preferred":false,"id":855483,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wan, Xiu-Feng","contributorId":173959,"corporation":false,"usgs":false,"family":"Wan","given":"Xiu-Feng","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":855484,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Akter, Sadia","contributorId":298379,"corporation":false,"usgs":false,"family":"Akter","given":"Sadia","email":"","affiliations":[{"id":64545,"text":"Institute of Biology, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":855485,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sreevatsan, Srinand","contributorId":298380,"corporation":false,"usgs":false,"family":"Sreevatsan","given":"Srinand","affiliations":[{"id":64550,"text":"College of Veterinary Medicine, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":855486,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Trovão, Nidia S.","contributorId":298381,"corporation":false,"usgs":false,"family":"Trovão","given":"Nidia S.","affiliations":[{"id":64551,"text":"Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health","active":true,"usgs":false}],"preferred":false,"id":855487,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nutter, Felicia B.","contributorId":8070,"corporation":false,"usgs":false,"family":"Nutter","given":"Felicia","email":"","middleInitial":"B.","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":855488,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":855489,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855490,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70237725,"text":"70237725 - 2023 - Ontogenetic development of pallid sturgeon (Scaphirhynchus albus) and shovelnose sturgeon (Scaphirhynchus platorynchus) from hatch through yolk absorption","interactions":[],"lastModifiedDate":"2022-12-15T15:06:41.256","indexId":"70237725","displayToPublicDate":"2022-10-12T10:19:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ontogenetic development of pallid sturgeon (Scaphirhynchus albus) and shovelnose sturgeon (Scaphirhynchus platorynchus) from hatch through yolk absorption","title":"Ontogenetic development of pallid sturgeon (Scaphirhynchus albus) and shovelnose sturgeon (Scaphirhynchus platorynchus) from hatch through yolk absorption","docAbstract":"Sturgeons have a complex free-embryo period extending from hatch to the initiation of exogenous feeding. Although available for some sturgeon species of the genus Acipenser, descriptions of the developmental stages of free embryos of the genus Scaphirhynchus are lacking. We characterised the ontogenetic development of pallid sturgeon (Scaphirhynchus albus) and shovelnose sturgeon (S. platorynchus) free embryos from hatch through melanin plug expulsion. The rate of development was similar between Scaphirhynchus species among free embryos from 4 pallid sturgeon and 7 shovelnose sturgeon crosses reared separately in the laboratory at a mean temperature of 17.8°C. Free embryos required a mean of 18.2 days postfertilisation (DPF; 323.5 cumulative thermal units; CTU) to reach melanin plug expulsion for pallid sturgeon and 17.9 DPF (318.3 CTU) for shovelnose sturgeon. Free embryos of both species showed overlap in lengths among developmental stages indicating that length of free embryos alone is insufficient to estimate age. Description of pallid sturgeon and shovelnose sturgeon free-embryo development provides a template to develop more sophisticated models incorporating length and stage to estimate the age of field-collected specimens. Improved estimates of free-embryo developmental stage and age may aid in the identification of timing and location of spawning and better inform flow manipulation and habitat management actions tailored to increase survival of early life-stage pallid sturgeon.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12680","usgsCitation":"Chojnacki, K., Dodson, M., George, A.E., Candrl, J., and Delonay, A.J., 2023, Ontogenetic development of pallid sturgeon (Scaphirhynchus albus) and shovelnose sturgeon (Scaphirhynchus platorynchus) from hatch through yolk absorption: Ecology of Freshwater Fish, v. 32, no. 1, p. 209-231, https://doi.org/10.1111/eff.12680.","productDescription":"23 p.","startPage":"209","endPage":"231","ipdsId":"IP-140861","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445359,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12680","text":"Publisher Index Page"},{"id":435571,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGYSFJ","text":"USGS data release","linkHelpText":"Developmental stage and length of Pallid Sturgeon and Shovelnose Sturgeon free embryos reared at a constant temperature"},{"id":408611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Kimberly 0000-0001-6091-3977 kchojnacki@usgs.gov","orcid":"https://orcid.org/0000-0001-6091-3977","contributorId":221080,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":855367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dodson, Marlene J 0000-0003-4510-5757","orcid":"https://orcid.org/0000-0003-4510-5757","contributorId":298314,"corporation":false,"usgs":false,"family":"Dodson","given":"Marlene J","affiliations":[{"id":64528,"text":"USGS Former Employee","active":true,"usgs":false}],"preferred":false,"id":855368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":855369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Candrl, James 0000-0002-1464-2931 jcandrl@usgs.gov","orcid":"https://orcid.org/0000-0002-1464-2931","contributorId":192165,"corporation":false,"usgs":true,"family":"Candrl","given":"James","email":"jcandrl@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":855370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":855371,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70244306,"text":"70244306 - 2023 - The mysterious case of the missing razor clams","interactions":[],"lastModifiedDate":"2023-06-13T12:26:29.073357","indexId":"70244306","displayToPublicDate":"2022-10-12T07:24:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"The mysterious case of the missing razor clams","docAbstract":"Oceans are changing and these changes are affecting animals that live there. Animals respond differently to changes in water temperature, food availability, or contaminants. Those responses can be seen in their genes. Gene transcription is a tool that allows scientists to see the response of an animal’s genes to its environment. We used gene transcription to compare two populations of Pacific razor clams in Alaska: one that has lots of clams and one that used to have lots but doesn’t anymore. We were surprised when we didn't find any differences in their gene responses! So, we had to think about what else might be influencing the number of clams in these two populations. As we “dug” for answers, we found out that there are differences between the populations that don‘t influence their genes but may impact their numbers, such as predation.","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2022.715425","usgsCitation":"Coletti, H., Bowen, L., Ballachey, B., Wilson, T.L., Waters-Dynes, S.C., Booz, M., Counihan, K., Hollmen, T.E., and Pister, B., 2023, The mysterious case of the missing razor clams: Frontiers for Young Minds, v. 10, https://doi.org/10.3389/frym.2022.715425.","productDescription":"715425","startPage":"715425","ipdsId":"IP-135545","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2022.715425","text":"Publisher Index Page"},{"id":418048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":875309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda 0000-0003-1855-9171","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":264735,"corporation":false,"usgs":false,"family":"Ballachey","given":"Brenda","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":875311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":875312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Booz, Michael","contributorId":293685,"corporation":false,"usgs":false,"family":"Booz","given":"Michael","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":875314,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Counihan, Katrina","contributorId":140780,"corporation":false,"usgs":false,"family":"Counihan","given":"Katrina","affiliations":[{"id":13561,"text":"Alaska Sea Life Center, Seward, AK","active":true,"usgs":false}],"preferred":false,"id":875315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":875316,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pister, Benjamin","contributorId":219669,"corporation":false,"usgs":false,"family":"Pister","given":"Benjamin","email":"","affiliations":[{"id":40046,"text":"Ocean Alaska Science and Learning Center, National Park Service","active":true,"usgs":false}],"preferred":false,"id":875317,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70237800,"text":"70237800 - 2023 - Predictive accuracy of post-fire conifer death declines over time in models based on crown and bole injury","interactions":[],"lastModifiedDate":"2023-03-15T14:26:19.594571","indexId":"70237800","displayToPublicDate":"2022-10-11T10:52:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predictive accuracy of post-fire conifer death declines over time in models based on crown and bole injury","docAbstract":"A key uncertainty of empirical models of post-fire tree mortality is understanding the drivers of elevated post-fire mortality several years following fire, known as delayed mortality. Delayed mortality can represent a substantial fraction of mortality, particularly for large trees that are a conservation focus in western US coniferous forests. Current post-fire tree mortality models have undergone limited evaluation of how injury level and time since fire interact to influence model accuracy and predictor variable importance. Less severe injuries potentially serve as an indicator for vulnerability to additional stressors such as bark beetle attack or moisture stress. We used a collection of 164,293 individual tree records to examine post-fire tree mortality in eight western USA conifers: Abies concolor, A. grandis, Calocedrus decurrens, Larix occidentalis, Pinus contorta, P. lambertiana, P. ponderosa, and Pseudotsuga menziesii. We evaluated the importance of fire injury predictors on discriminating between surviving trees versus immediate and delayed post-fire mortality. We fit balanced random forest models for each species using cumulative tree mortality from 1–5-years post-fire. We compared these results to multi-class random forest models using first-year mortality, 2–5-year mortality, and survival 5-years post-fire as a response variable. Crown volume scorched, diameter at breast height, and relative bark char height, were used as predictor variables. The cumulative mortality models all predicted trees that died within 1-year of fire with high accuracy but failed to predict 2–5-year mortality. The multi-class models were an improvement but had lower accuracy for predicting 2–5-year mortality. Multi-class model accuracies ranged from 85–95% across all species for predicting 1-year post-fire mortality, 42–71% for predicting 2–5-year mortality, and 64–85% for predicting trees that lived past 5-years. Our study highlights the differences in tree species tolerance to fire injury and suggests that including second-order predictors such as beetle attack or climatic water stress before and after fire will be critical to improve accuracy and better understand the mechanisms and patterns of fire-caused tree death. Random forest models have potential for management applications such as post-fire harvesting and simulating future stand dynamics.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2760","usgsCitation":"Shearman, T.M., Varner, J., Hood, S.M., van Mantgem, P., Cansler, C.A., and Wright, M., 2023, Predictive accuracy of post-fire conifer death declines over time in models based on crown and bole injury: Ecological Applications, v. 33, no. 2, e2760, 22 p., https://doi.org/10.1002/eap.2760.","productDescription":"e2760, 22 p.","ipdsId":"IP-139321","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445366,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2760","text":"Publisher Index Page"},{"id":408651,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.7480336449919,\n 48.97503075637249\n ],\n [\n -126.7480336449919,\n 31.808209566487548\n ],\n [\n -101.34747698085148,\n 31.808209566487548\n ],\n [\n -101.34747698085148,\n 48.97503075637249\n ],\n [\n -126.7480336449919,\n 48.97503075637249\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Shearman, Timothy M.","contributorId":229060,"corporation":false,"usgs":false,"family":"Shearman","given":"Timothy","email":"","middleInitial":"M.","affiliations":[{"id":41540,"text":"Tall Timbers Research Station, 13093 Henry Beadel Drive, Tallahassee, FL, 32312, USA","active":true,"usgs":false}],"preferred":false,"id":855674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varner, J. Morgan","contributorId":298476,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":64585,"text":"Tall Timbers, Tallahassee, FL, USA","active":true,"usgs":false}],"preferred":false,"id":855675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":855676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":855677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cansler, C. Alina","contributorId":298477,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":64587,"text":"School of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":855678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":855679,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239010,"text":"70239010 - 2023 - Phylogenetic risk assessment is robust for forecasting the impact of European insects on North American conifers","interactions":[],"lastModifiedDate":"2023-03-15T14:33:00.796771","indexId":"70239010","displayToPublicDate":"2022-10-11T08:05:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenetic risk assessment is robust for forecasting the impact of European insects on North American conifers","docAbstract":"Some introduced species cause severe damage, although the majority have little impact. Robust predictions of which species are most likely to cause substantial impacts could focus efforts to mitigate those impacts or prevent certain invasions entirely. Introduced herbivorous insects can reduce crop yield, fundamentally alter natural and managed forest ecosystems, and are unique among invasive species in that they require certain host plants to succeed. Recent studies have demonstrated that understanding the evolutionary history of introduced herbivores and their host plants can provide robust predictions of impact. Specifically, divergence times between hosts in the native and introduced ranges of a nonnative insect can be used to predict the potential impact of the insect should it establish in a novel ecosystem. However, divergence time estimates vary among published phylogenetic datasets, making it crucial to understand if and how the choice of phylogeny affects prediction of impact. Here, we tested the robustness of impact prediction to variation in host phylogeny by using insects that feed on conifers and predicting the likelihood of high impact using four different published phylogenies. Our analyses ranked 62 insects that are not established in North America and 47 North American conifer species according to overall risk and vulnerability, respectively. We found that results were robust to the choice of phylogeny. Although published vascular plant phylogenies continue to be refined, our analysis indicates that those differences are not substantial enough to alter the predictions of invader impact. Our results can assist in focusing biosecurity programs for conifer pests and can be more generally applied to nonnative insects and their potential hosts by prioritizing surveillance for those insects most likely to be damaging invaders.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2761","usgsCitation":"Uden, D.R., Mech, A.M., Havill, N.P., Schulz, A.N., Ayers, M.P., Herms, D.A., Hoover, A.M., Gandhi, K.J., Hufbauer, R.A., Liebhold, A.M., Marisco, T.D., Raffa, K.F., Thomas, K.A., Tobin, P.C., and Allen, C., 2023, Phylogenetic risk assessment is robust for forecasting the impact of European insects on North American conifers: Ecological Applications, v. 33, no. 2, e2761, 16 p., https://doi.org/10.1002/eap.2761.","productDescription":"e2761, 16 p.","ipdsId":"IP-137618","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445369,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2761","text":"Publisher Index Page"},{"id":410794,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":219904,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":40095,"text":"Nebraska Cooperative Fish and Wildlife Unit, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":859669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, Angela M.","contributorId":219892,"corporation":false,"usgs":false,"family":"Mech","given":"Angela","email":"","middleInitial":"M.","affiliations":[{"id":40087,"text":"School of Environmental and Forest Sciences, University of Washington, Seattle, WA. Corresponding email: ammech@wcu.edu. Present address: Department of Geosciences and Natural Resources, Western Carolina University, Cullowhee, NC","active":true,"usgs":false}],"preferred":false,"id":859670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Havill, Nathan P.","contributorId":219900,"corporation":false,"usgs":false,"family":"Havill","given":"Nathan","email":"","middleInitial":"P.","affiliations":[{"id":40091,"text":"Northern Research Station, USDA Forest Service, Hamden, CT","active":true,"usgs":false}],"preferred":false,"id":859671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Ashley N.","contributorId":219894,"corporation":false,"usgs":false,"family":"Schulz","given":"Ashley","email":"","middleInitial":"N.","affiliations":[{"id":40088,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR","active":true,"usgs":false}],"preferred":false,"id":859672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayers, Matthew P","contributorId":219486,"corporation":false,"usgs":false,"family":"Ayers","given":"Matthew","email":"","middleInitial":"P","affiliations":[{"id":40011,"text":"Department of Biological Sciences, Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":859673,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herms, Daniel A.","contributorId":219895,"corporation":false,"usgs":false,"family":"Herms","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":40089,"text":"The Davey Tree Expert Company, Kent, OH","active":true,"usgs":false}],"preferred":false,"id":859674,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoover, Angela Marie 0000-0003-0401-5587","orcid":"https://orcid.org/0000-0003-0401-5587","contributorId":265174,"corporation":false,"usgs":true,"family":"Hoover","given":"Angela","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":859675,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gandhi, Kamal JK","contributorId":300212,"corporation":false,"usgs":false,"family":"Gandhi","given":"Kamal","email":"","middleInitial":"JK","affiliations":[{"id":65048,"text":"D.B. Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA","active":true,"usgs":false}],"preferred":false,"id":859676,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hufbauer, Ruth A.","contributorId":219901,"corporation":false,"usgs":false,"family":"Hufbauer","given":"Ruth","email":"","middleInitial":"A.","affiliations":[{"id":40092,"text":"Department of Bioagricultural Science and Pest Management, Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":859677,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liebhold, Andrew M.","contributorId":219902,"corporation":false,"usgs":false,"family":"Liebhold","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":40093,"text":"USDA Forest Service Northern Research Station, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":859678,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marisco, Travis D","contributorId":300213,"corporation":false,"usgs":false,"family":"Marisco","given":"Travis","email":"","middleInitial":"D","affiliations":[{"id":65050,"text":"Department of Biological Sciences, Arkansas State University, Jonesboro, AR, USA","active":true,"usgs":false}],"preferred":false,"id":859679,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Raffa, Kenneth F.","contributorId":219903,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":40094,"text":"Department of Entomology, University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":859680,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":859681,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tobin, Patrick C.","contributorId":200172,"corporation":false,"usgs":false,"family":"Tobin","given":"Patrick","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":859682,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Allen, Craig R.","contributorId":246029,"corporation":false,"usgs":false,"family":"Allen","given":"Craig R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":859683,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70249531,"text":"70249531 - 2023 - Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan","interactions":[],"lastModifiedDate":"2023-10-13T12:05:49.827709","indexId":"70249531","displayToPublicDate":"2022-10-10T07:02:53","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan","docAbstract":"Nine rock-rubble fish spawning placements, or artificial reef complexes, constructed in the \nDetroit and St. Clair Rivers between 2004 to 2018 were surveyed periodically with multibeam \nsonar. These serial bathymetric surveys, conducted in 2015, 2018, 2021, and 2022, identified \nactive sand bedform fields impinging two reef complexes: Fighting Island in the Detroit River \nand Middle Channel in the St. Clair River delta. The spatial extent over which the bedforms \ninteracted with these reef complexes differed. The Fighting Island reef complex, which was \ncomprised of twelve reef beds oriented across the river channel, experienced partial \nsedimentation that can be attributed to the streamwise translation and lateral encroachment of \na bedform field on several of the eastern reef beds. The Middle Channel reef complex was \ncomprised of nine reef beds also oriented across the river channel. Sedimentation of the Middle \nChannel reef complex was more comprehensive compared to the Fighting Island reef complex as \nmost of the beds in the Middle Channel reef complex were within a translating bedform field. \nWe simulated the temporal evolution of reef sedimentation at the Middle Channel reef complex \nusing the Wilcock-Kenworthy (WK) two-fraction sediment transport model. In the WK \nsimulation, sand available upstream of the reef migrated into the 36-meter-long gravel reef beds \nover 10 days of model simulation. The rate of sediment infill predicted by the model was more \nrapid than the speed of bedform slip face translation measured in the field, approximately 0.3 \nmeters per day. Further, as the supply of sediment from upstream is continuous, once a reef bed \nfills with sediment it generally remains in place, although some small variations (+/- 0.2 m) in \nthe elevation of the sand overlying the reef beds were observed. Taken together, bathymetric \nsurveys and modeling could be used to identify, monitor, and simulate potential sources of \nbedload sediment that could impair the longevity of future spawning reef placements. Efforts \ndirected toward enhancement and/or maintenance of reefs impaired by sedimentation could \nbenefit from continued monitoring through periodic high-resolution bathymetric surveys, \ndetailed inspection by diving, and collection of underwater imagery.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceDate":"May 2023","conferenceLocation":"St. Louis, Missouri, USA","language":"English","publisher":"SEDHYD","usgsCitation":"Kinzel, P.J., Kennedy, G.W., and Dudunake, T., 2023, Repeat bathymetric surveys and model simulation of sedimentation processes near fish spawning placements, Detroit and St. Clair Rivers, Michigan, in Proceedings of the SEDHYD 2023, St. Louis, Missouri, USA, May 2023, 13 p.","productDescription":"13 p.","ipdsId":"IP-147516","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":421903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421897,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/past/2023Proceedings/22.pdf"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River, St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.30276185834879,\n 42.0286133036347\n ],\n [\n -82.90725404584906,\n 42.0286133036347\n ],\n [\n -82.90725404584906,\n 42.36232360308355\n ],\n [\n -83.30276185834879,\n 42.36232360308355\n ],\n [\n -83.30276185834879,\n 42.0286133036347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.86330873334916,\n 42.581121335761054\n ],\n [\n -82.06130678022406,\n 42.581121335761054\n ],\n [\n -82.06130678022406,\n 43.064598528454496\n ],\n [\n -82.86330873334916,\n 43.064598528454496\n ],\n [\n -82.86330873334916,\n 42.581121335761054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":886097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudunake, Taylor 0000-0001-7650-2419 tdudunake@usgs.gov","orcid":"https://orcid.org/0000-0001-7650-2419","contributorId":191564,"corporation":false,"usgs":true,"family":"Dudunake","given":"Taylor","email":"tdudunake@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241456,"text":"70241456 - 2023 - Lake Superior Kiyi reproductive biology","interactions":[],"lastModifiedDate":"2023-03-21T11:58:09.344621","indexId":"70241456","displayToPublicDate":"2022-10-07T06:55:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake Superior Kiyi reproductive biology","docAbstract":"The Lake Superior Kiyi Coregonus kiyi is an understudied species being considered for reintroduction into Laurentian Great Lakes where it no longer occurs. Herein, we provide descriptions of Kiyi reproductive biology with the intention of guiding potential gamete collections for propagation.
Data were collected on Kiyi spawning timing, spawning locations, spawning season catch rates, length at sexual maturity, sex ratios, fecundity, egg size, and larval occurrences in Lake Superior from 1996–2021. These data were compared to observations made a century prior in Lakes Michigan, Ontario, and Superior.
Contemporary Kiyi spawning occurred between late December and late January when surface water temperatures cooled to <4°C. Spawning Kiyi were caught almost exclusively in 38.1-mm stretch mesh, as compared to larger meshes (50.8–76.2 mm). Capture depths for developing, ripe, running, and spent female Kiyi were similar and ranged from 82 to 221 m. Fifty percent of female and male Kiyi were classified as sexually mature at ~150 mm total length. Fecundity estimates ranged from 1,578 to 6,720 eggs/female. Mean diameter of unfertilized eggs was 1.7 mm. Recently hatched larval Kiyi were collected at the surface during May–July at 62 of the 113 locations sampled throughout the lake in 2019.
Our work suggests that Kiyi gamete collection efforts from mid-December through January using 38.1-mm gill-net panels set at bathymetric depths of at least 100 m would maximize the collection of spawning Kiyi and reduce the bycatch of other Coregonus species. Future research questions include the following: (1) “Do Kiyi form spawning aggregations at specific spawning areas, or do they spawn indiscriminately across the lake?”; (2) “Do Kiyi spawn near the bottom or up in the water column?”; (3) “What is the relationship between fall lake overturn and Kiyi spawn timing?”; and (4) “Could summer larval and age-0 Kiyi collections provide an opportunity for establishing a captive broodstock?”
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10389","usgsCitation":"Vinson, M., Herbert, M.E., Ackiss, A.S., Dobosenski, J.A., Evrard, L.M., Gorman, O., Lyons, J.F., Phillips, S.B., and Yule, D.L., 2023, Lake Superior Kiyi reproductive biology: Transactions of the American Fisheries Society, v. 152, no. 1, p. 75-93, https://doi.org/10.1002/tafs.10389.","productDescription":"19 p.","startPage":"75","endPage":"93","ipdsId":"IP-138990","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":445372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10389","text":"Publisher Index Page"},{"id":414424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.5535984535492,\n 46.4501024330273\n ],\n [\n -91.32365203754354,\n 46.14661290997151\n ],\n [\n -89.34695244039116,\n 46.35923219274633\n ],\n [\n -88.29271265524278,\n 46.60121650719279\n ],\n [\n -87.06276623923712,\n 46.26821057653203\n ],\n [\n -85.744966507802,\n 46.17703756231228\n ],\n [\n -84.42716677636692,\n 46.23783639483966\n ],\n [\n -83.72434025293518,\n 46.57102732066164\n ],\n [\n -83.9879001992219,\n 47.26112705061291\n ],\n [\n -84.33931346093803,\n 47.912913466441466\n ],\n [\n -84.9982133266553,\n 48.381846578937825\n ],\n [\n -85.744966507802,\n 48.84649912166546\n ],\n [\n -87.41417950095271,\n 49.33551206940351\n ],\n [\n -88.86375920553166,\n 49.24956557973144\n ],\n [\n -90.31333891011013,\n 48.49841069237857\n ],\n [\n -91.7189919569736,\n 47.380237509399194\n ],\n [\n -92.77323174212198,\n 46.962175691712275\n ],\n [\n -92.5535984535492,\n 46.4501024330273\n ]\n ]\n ],\n \"type\": 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0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobosenski, Jamie A.","contributorId":239602,"corporation":false,"usgs":false,"family":"Dobosenski","given":"Jamie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorman, Owen 0000-0003-0451-110X","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":216889,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, Joshua F 0000-0002-8559-4535","orcid":"https://orcid.org/0000-0002-8559-4535","contributorId":303243,"corporation":false,"usgs":true,"family":"Lyons","given":"Joshua","email":"","middleInitial":"F","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Sydney B 0000-0003-0179-6533","orcid":"https://orcid.org/0000-0003-0179-6533","contributorId":302071,"corporation":false,"usgs":true,"family":"Phillips","given":"Sydney","email":"","middleInitial":"B","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":866892,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70238607,"text":"70238607 - 2023 - Genetic analyses provide new insight on the mating strategies of the American Black Swift (Cypseloides niger)","interactions":[],"lastModifiedDate":"2023-06-09T15:03:59.760051","indexId":"70238607","displayToPublicDate":"2022-10-06T08:20:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic analyses provide new insight on the mating strategies of the American Black Swift (Cypseloides niger)","title":"Genetic analyses provide new insight on the mating strategies of the American Black Swift (Cypseloides niger)","docAbstract":"Avian mating strategies play a vital role in the demographic and genetic dynamics of a species and understanding avian reproductive tactics is important to conservation, population management and restoration. Classifications of avian mating strategies have historically been based on direct physical observations and tend to be rigid population-level generalizations that overlook the variations inherent in most ecological systems. Based on limited empirical field observations, the American Black Swift Cypseloides niger borealis is considered to be a socially monogamous species with pair bonds lasting for many years. To test this hypothesis, we collected genomic DNA samples from banded swifts from six American Black Swift colonies in the western United States from 2004 to 2019 and isolated and developed primers for highly polymorphic microsatellite loci and used them to genotype our samples. Our parentage analysis revealed that sampled females never mated with the same male in subsequent years, suggesting that they are not sexually monogamous with a single partner for many years as previously hypothesized.
","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13147","usgsCitation":"Gunn, C., Potter, K., Fike, J., and Oyler-McCance, S.J., 2023, Genetic analyses provide new insight on the mating strategies of the American Black Swift (Cypseloides niger): Ibis, v. 165, no. 3, p. 1007-1015, https://doi.org/10.1111/ibi.13147.","productDescription":"9 p.","startPage":"1007","endPage":"1015","ipdsId":"IP-125985","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435572,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UXJVNI","text":"USGS data release","linkHelpText":"Sample collection information and microsatellite data for Northern Black Swifts in 6 colonies across Colorado, New Mexico and Idaho"},{"id":409923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, New Mexico","otherGeospatial":"Box Canyon Falls, Fulton Cave, Jemez Falls, St. Charles Falls, Shadow Falls, Zapata Falls","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.41,\n 39.82\n ],\n [\n -107.4,\n 39.82\n ],\n [\n -107.4,\n 39.83\n ],\n [\n -107.41,\n 39.83\n ],\n [\n -107.41,\n 39.82\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.68,\n 38.02\n ],\n [\n -107.68,\n 38\n ],\n [\n -107.67,\n 38\n ],\n [\n -107.67,\n 38.02\n ],\n [\n -107.68,\n 38.02\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.01,\n 38.01\n ],\n [\n -105.01,\n 38\n ],\n [\n -105,\n 38\n ],\n [\n -105,\n 38.01\n ],\n [\n -105.01,\n 38.01\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.61,\n 35.82\n ],\n [\n -106.61,\n 35.8\n ],\n [\n -106.6,\n 35.8\n ],\n [\n -106.6,\n 35.82\n ],\n [\n -106.61,\n 35.82\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.12,\n 47.78\n ],\n [\n -116.12,\n 47.7\n ],\n [\n -116.1,\n 47.7\n ],\n [\n -116.1,\n 47.78\n ],\n [\n -116.12,\n 47.78\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"165","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Gunn, Carolyn","contributorId":299568,"corporation":false,"usgs":false,"family":"Gunn","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":858081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potter, Kim","contributorId":299569,"corporation":false,"usgs":false,"family":"Potter","given":"Kim","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":858082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237639,"text":"70237639 - 2023 - Multiproxy paleolimnological records provide evidence for a shift to a new ecosystem state in the Northern Great Plains, USA","interactions":[],"lastModifiedDate":"2023-07-24T16:31:27.027467","indexId":"70237639","displayToPublicDate":"2022-10-06T06:43:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Multiproxy paleolimnological records provide evidence for a shift to a new ecosystem state in the Northern Great Plains, USA","docAbstract":"Wetlands in the Prairie Pothole Region of the North American Northern Great Plains perform multiple ecosystem services and are biodiversity hotspots. However, climatological changes can result in sudden shifts in these important ecosystems. For example, marked increases in precipitation in the last few decades have resulted in a widespread shift in wetlands across the Prairie Pothole Region to a new ecohydrological state. We used multiproxy analyses (diatom community composition and invertebrate stable isotopes) of 210Pb-dated sediment cores from two adjacent, but morphologically and hydrologically different, prairie-pothole wetlands to assess the effects of hydroclimatic variability on these wetland ecosystems. Our results provide evidence that the recent ecohydrological shift in the region's wetlands is unprecedented over the past ca. 178 yr. Oxygen stable isotopes in chironomid head capsules provide a record of paleohydrology changes. The most recent sediments (i.e., those deposited after the state shift) from both wetlands revealed novel changes in diatom communities that differed greatly from earlier community compositions. In addition, a depleted signal in deuterium and 13C carbon stable isotopes observed in chironomid head capsules and Daphnia ephippia, respectively, after 1993 is likely related to an increase in methane production in these wetlands. Our study highlights the importance of considering basin morphometry including whether a wetland has an overflow point, and multiple biological indicators to study climate-change influences on freshwater ecosystems. Research using these techniques can lead to an improved understanding of recent ecosystem shifts, an understanding that will be essential for future climate-change adaptation and mitigation in this ecologically important region.
A multi-omics approach was utilized to identify altered biological responses and functions, and to prioritize contaminants to assess the risks of chemical mixtures in the Maumee Area of Concern (AOC), Maumee River, OH, USA. The Maumee AOC is designated by the United States Environmental Protection Agency as having significant beneficial use impairments, including degradation of fish and wildlife populations, bird or animal deformities or reproduction problems, and loss of fish and wildlife habitat. Tree swallow (Tachycineta bicolor) nestlings were collected at five sites along the Maumee River, which included wastewater treatment plants (WWTPs) and industrial land-use sites. Polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated dibenzo p dioxins and furans (PCDD/Fs), and chlorinated pesticide concentrations were elevated in Maumee tree swallows, relative to a remote reference site, Star Lake, WI, USA. Liver tissue was utilized for non-targeted transcriptome and targeted metabolome evaluation. A significantly differentially expressed gene cluster related to a downregulation in cell growth and cell cycle regulation was identified when comparing all Maumee River sites with the reference site. There was an upregulation of lipogenesis genes, such as PPAR signaling (HMGCS2, SLC22A5), biosynthesis of unsaturated fatty acids (FASN, SCD, ELOVL2, and FADS2), and higher lipogenesis related metabolites, such as docosapentaenoic acid (DPA), docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and arachidonic acid (AA) at two industrial land-use sites, Ironhead and Maumee, relative to WWTP sites (Perrysburg and SideCut), and the reference site. Toledo Water, in the vicinity of the other two industrial sites and also adjacent to a WWTP, showed a mix of signals between industrial land-use and WWTP land-use. PAHs, oxychlordane, and PBDEs were determined to be the most likely causes of the differentiation in biological responses, including de novo lipogenesis and biosynthesis of unsaturated fatty acids.
Conservation practitioners, natural resource managers, and environmental stewards often seek out scientific contributions to inform decision-making. This body of science only becomes actionable when motivated by decision makers considering alternative courses of action. Many in the science community equate addressing stakeholder science needs with delivering actionable science. However, not all efforts to address science needs deliver actionable science, suggesting that the synonymous use of these two constructs (delivering actionable science and addressing science needs) is not trivial. This can be the case when such needs are conveyed by people who neglect decision makers responsible for articulating a priority management concern and for specifying how the anticipated scientific information will aid the decision-making process. We argue that the actors responsible for articulating these science needs and the process used to identify them are decisive factors in the ability to deliver actionable science, stressing the importance of examining the provenance and the determination of science needs. Guided by a desire to enhance communication and cross-literacy between scientists and decision makers, we identified categories of actors who may inappropriately declare science needs (e.g., applied scientists with and without regulatory affiliation, external influencers, reluctant decision makers, agents in place of decision makers, and boundary organization representatives). We also emphasize the importance of, and general approach to, undertaking needs assessments or gap analyses as a means to identify priority science needs. We conclude that basic stipulations to legitimize actionable science, such as the declaration of decisions of interest that motivate science needs and using a robust process to identify priority information gaps, are not always satisfied and require verification. To alleviate these shortcomings, we formulated practical suggestions for consideration by applied scientists, decision makers, research funding entities, and boundary organizations to help foster conditions that lead to science output being truly actionable.
The development and application of luminescence dating and dosimetry techniques have grown exponentially in the last several decades. Luminescence methods provide age control for a broad range of geological and archaeological contexts and can characterize mineral and glass properties linked to geologic origin, Earth-surface processes, and past exposure to light, heat, and ionizing radiation. The applicable age range for luminescence methods spans the last 500,000 years or more, which covers the period of modern human evolution, and provides context for rates and magnitudes of geological processes, hazards, and climate change. Given the growth in applications and publications of luminescence data, there is a need for unified, community-driven guidance regarding the publication and interpretation of luminescence results.
This paper presents a guide to the essential information necessary for publishing and archiving luminescence ages as well as supporting data that is transportable and expandable for different research objectives and publication outlets. We outline the information needed for the interpretation of luminescence data sets, including data associated with equivalent dose, dose rate, age models, and stratigraphic context. A brief review of the fundamentals of luminescence techniques and applications, including guidance on sample collection and insight into laboratory processing and analysis steps, is presented to provide context for publishing and data archiving.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36404.1","usgsCitation":"Mahan, S.A., Rittenour, T.M., Nelson, M., Ataee, N., Brown, N.D., DeWitt, R., Durcan, J., Evans, M., Feathers, J.K., Frouin, M., Guerin, G., Heydari, M., Huot, S., Jain, M., Keen-Zebert, A., Li, B., Lopez, G.I., Neudorf, C., Porat, N., Rodrigues, K., Sawakuchi, A.O., Spencer, J.Q., and Thomsen, K., 2023, Guide for interpreting and reporting luminescence dating results: GSA Bulletin, v. 135, no. 5-6, p. 1480-1502, https://doi.org/10.1130/B36404.1.","productDescription":"23 p.","startPage":"1480","endPage":"1502","ipdsId":"IP-130448","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445389,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36404.1","text":"Publisher Index Page"},{"id":409115,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2022-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":856534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":856535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Michelle S.","contributorId":140753,"corporation":false,"usgs":false,"family":"Nelson","given":"Michelle S.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":856536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ataee, Nina","contributorId":298822,"corporation":false,"usgs":false,"family":"Ataee","given":"Nina","email":"","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":856537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Nathan D. 0000-0002-7385-8679","orcid":"https://orcid.org/0000-0002-7385-8679","contributorId":264626,"corporation":false,"usgs":false,"family":"Brown","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":856538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWitt, Regina 0000-0003-2876-5489","orcid":"https://orcid.org/0000-0003-2876-5489","contributorId":216736,"corporation":false,"usgs":false,"family":"DeWitt","given":"Regina","email":"","affiliations":[{"id":39507,"text":"East Carolina University (in North Carolina)","active":true,"usgs":false}],"preferred":false,"id":856539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Durcan, Julie","contributorId":298823,"corporation":false,"usgs":false,"family":"Durcan","given":"Julie","email":"","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":856540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Mary","contributorId":298824,"corporation":false,"usgs":false,"family":"Evans","given":"Mary","affiliations":[{"id":64691,"text":"University of the Witwatersrand","active":true,"usgs":false}],"preferred":false,"id":856541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feathers, James K.","contributorId":140756,"corporation":false,"usgs":false,"family":"Feathers","given":"James","email":"","middleInitial":"K.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":856542,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frouin, Marine","contributorId":298825,"corporation":false,"usgs":false,"family":"Frouin","given":"Marine","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":856543,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Guerin, Guillaume","contributorId":298826,"corporation":false,"usgs":false,"family":"Guerin","given":"Guillaume","email":"","affiliations":[{"id":64692,"text":"Univ Rennes","active":true,"usgs":false}],"preferred":false,"id":856544,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heydari, Maryam","contributorId":298827,"corporation":false,"usgs":false,"family":"Heydari","given":"Maryam","email":"","affiliations":[{"id":33350,"text":"University of Freiburg","active":true,"usgs":false}],"preferred":false,"id":856545,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Huot, Sebastien","contributorId":167214,"corporation":false,"usgs":false,"family":"Huot","given":"Sebastien","email":"","affiliations":[{"id":24646,"text":"Department of Earth and Atmospheric Sciences, University of Québec, Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":856546,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jain, Mayank","contributorId":224229,"corporation":false,"usgs":false,"family":"Jain","given":"Mayank","email":"","affiliations":[],"preferred":false,"id":856547,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Keen-Zebert, Amanda","contributorId":224228,"corporation":false,"usgs":false,"family":"Keen-Zebert","given":"Amanda","email":"","affiliations":[{"id":40841,"text":"University of Nevada Reno / Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":856548,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Li, Bo","contributorId":298843,"corporation":false,"usgs":false,"family":"Li","given":"Bo","email":"","affiliations":[],"preferred":false,"id":856568,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lopez, Gloria I.","contributorId":298830,"corporation":false,"usgs":false,"family":"Lopez","given":"Gloria","email":"","middleInitial":"I.","affiliations":[{"id":64693,"text":"Columbian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":856550,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Neudorf, Christina","contributorId":298831,"corporation":false,"usgs":false,"family":"Neudorf","given":"Christina","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":856551,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Porat, Naomi","contributorId":201778,"corporation":false,"usgs":false,"family":"Porat","given":"Naomi","email":"","affiliations":[{"id":13093,"text":"Geological Survey of Israel ","active":true,"usgs":false}],"preferred":false,"id":856552,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rodrigues, Kathleen","contributorId":298832,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Kathleen","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":856553,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sawakuchi, Andre O.","contributorId":298833,"corporation":false,"usgs":false,"family":"Sawakuchi","given":"Andre","email":"","middleInitial":"O.","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":856554,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Spencer, Joel Q. G","contributorId":298834,"corporation":false,"usgs":false,"family":"Spencer","given":"Joel","email":"","middleInitial":"Q. G","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":856555,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Thomsen, Kristina","contributorId":298835,"corporation":false,"usgs":false,"family":"Thomsen","given":"Kristina","email":"","affiliations":[{"id":50046,"text":"Technical University of Denmark","active":true,"usgs":false}],"preferred":false,"id":856556,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70241186,"text":"70241186 - 2023 - Ceratocystis lukuohia-infested ambrosia beetle frass as inoculum for Ceratocystis wilt of ʻōhiʻa (Metrosideros polymorpha)","interactions":[],"lastModifiedDate":"2023-03-14T12:22:11.687122","indexId":"70241186","displayToPublicDate":"2022-09-29T07:20:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13455,"text":"Plant Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Ceratocystis lukuohia-infested ambrosia beetle frass as inoculum for Ceratocystis wilt of ʻōhiʻa (Metrosideros polymorpha)","docAbstract":"Metrosideros polymorpha (‘ōhi‘a) trees in Hawaiʻi are dying from two distinct diseases, collectively referred to as rapid ‘ōhi‘a death (ROD), caused by Ceratocystis lukuohia and Ceratocystis huliohia. Boring dust (frass) released when ambrosia beetles attack and colonize infected trees has been suspected as a transmission source. We sampled ambrosia beetle frass from six locations on Hawaiʻi Island and screened samples for Ceratocystis DNA and fungal viability. Ceratocystis DNA was detected in 79% of frass samples and 61% were viable. To assess the infectivity of C. lukuohia-colonized frass, M. polymorpha seedlings were wound-inoculated with frass in growth chamber trials. Wilt incidence was 40% in the first trial and 15% in the second. Frass particles naturally infested with C. lukuohia were treated with a cytoplasmic stain and microscopically examined; thick-walled chlamydospores were found in all samples. The chlamydospores appeared to be derived from aleurioconidia. Ceratocystis survival in frass was assessed in a baiting experiment conducted under varying environmental regimes; viability decreased with increasing temperature, frass age and decreasing humidity. After 6 months, 90% of the samples exhibited viable C. lukuohia at the lowest temperatures. Results confirmed that C. lukuohia chlamydospores are the fungal inoculum within ambrosia beetle frass and can induce wilt when introduced to M. polymorpha wounds. Although ambrosia beetles or other insects may serve as vectors, the present work supports the hypothesis that Ceratocystis species may be dispersed in frass, which can inform ongoing efforts to manage ROD across Hawaiʻi's native forests.
Understanding the spatial and temporal habitat use of a population is a necessary step for recovery planning. For Chinook salmon (Oncorhynchus tshawytscha), variation in their migration and habitat use complicate predicting how restoring habitats could impact total recruitment. To evaluate how juvenile life history variation affects a population’s response to potential restoration, we developed a stage-structured model for a Chinook salmon population in a northern California river with a seasonally closed estuary. We modeled the timing of juvenile migration and estuarine use as a function of freshwater conditions and fish abundance. We used the model to evaluate the sensitivity of the population to different estuary and freshwater restoration scenarios that could affect population parameters at different life stages. The population’s run size increased most in response to freshwater restoration that enhanced spawning productivity (egg and fry survival), followed by spawner capacity. In contrast, estuary restoration scenarios affected only a subset of Chinook salmon (average 15%), and as a result, did not have a large impact on the total recruitment of a cohort. Under current condition, estuary rearing fish were over six times less likely to survive than fish that migrate to the ocean in the spring or early summer before estuary closure. Because estuary residents experienced low survival in the estuary and in the ocean, improvements to both estuary survival and growth would be needed to increase their total survival. When life cycle monitoring data is available, life cycle models such as ours generate predictions at scales relevant to conservation and are an advantageous approach to managing and conserving anadromous salmon that use multiple habitats throughout their life cycle.
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As this review highlights, however, hazard mitigation by tidal wetlands is limited to certain conditions, and not all hazards are equally reduced. Tidal wetlands are effective in attenuating short-period storm-induced waves, but long-period storm surges, which elevate sea levels up to several meters for up to more than a day, are attenuated less effectively, or in some cases not at all, depending on storm conditions, wetland properties, and larger-scale coastal landscape geometry. Wetlands often limit erosion, but storm damage to vegetation (especially mangrove trees) can be substantial, and recovery may take several years. Longer-term wetland persistence can be compromised when combined with other stressors, such as climate change and human disturbances. Due to these uncertainties, nature-based coastal defense projects need to adopt adaptive management strategies.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-040422-092951","usgsCitation":"Temmerman, S., Horstman, E.M., Krauss, K., Mullarney, J.C., Pelckmans, I., and Schoutens, K., 2023, Marshes and mangroves as nature-based coastal storm buffers: Annual Review of Marine Science, v. 15, 9, 24 p., https://doi.org/10.1146/annurev-marine-040422-092951.","productDescription":"9, 24 p.","ipdsId":"IP-140040","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-040422-092951","text":"Publisher Index Page"},{"id":407466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":853060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horstman, Eric M.","contributorId":296995,"corporation":false,"usgs":false,"family":"Horstman","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":853061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":222442,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullarney, Julia C.","contributorId":296997,"corporation":false,"usgs":false,"family":"Mullarney","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":12678,"text":"University of Waikato","active":true,"usgs":false}],"preferred":false,"id":853063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pelckmans, Ignace","contributorId":296998,"corporation":false,"usgs":false,"family":"Pelckmans","given":"Ignace","email":"","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":853064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoutens, Ken","contributorId":297000,"corporation":false,"usgs":false,"family":"Schoutens","given":"Ken","email":"","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":853065,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}