Groundwater-resource quality is assumed to be less responsive to drought compared to that of surface water due to relatively long transit times of recharge to drinking-supply wells. Here, we evidence dynamic perturbations in aquifer pressure dynamics during drought and subsequent recovery periods cause dramatic shifts in groundwater quality on a basin scale. We used a novel application of time-series clustering on annual nitrate anomalies at >450 public-supply wells (PSWs) across California's San Joaquin Valley during 2000–22 to group sub-populations of wells with similar water-quality responses to drought. Additionally, we statistically evaluated the direction and magnitude of multi-constituent water-quality changes across the San Joaquin Valley using a broader dataset of >3000 PSWs with data during two select hydrologic stress periods representing an extreme drought (2012–16) and subsequent recovery (2016–19). Results of time-series clustering and stress-period change analyses corroborate a predominant regional response to pumping stress characterized by increased concentrations of anthropogenic constituents (nitrate, total dissolved solids) and decreased concentrations of geogenic constituents (arsenic, fluoride), which largely reversed during recovery. Cluster analysis also identified a secondary, less commonly occurring group of PSWs where nitrate decreased during drought, but explanatory factor analysis was not able to discern hydrogeologic drivers for these two divergent response patterns. Long-term tracer data support the hypothesis that the predominant regional signal of nitrate increase during drought is caused by enhanced capture of modern-aged groundwater by PSWs during periods of pumping stress, which can drive rapid changes in water quality on seasonal and multiannual timescales. Pumping-induced migration of modern, oxic groundwater to depth during drought may affect geochemical conditions in deeper portions of regional aquifers controlling the mobility of geogenic contaminants over the long term.
About 80 % of the precipitation at the Colorado River's headwaters is snow, and the resulting snowmelt-driven hydrograph is a crucial water source for about 40 million people. Snowmelt from alpine and subalpine snowpack contributes substantially to groundwater recharge and river flow. However, the dynamics of snowmelt progression are not well understood because observations of the high-elevation snowpack are difficult due to challenging access in complex mountainous terrain as well as the cost and labor intensity of currently available methods. We present a novel approach to infer the processes and dynamics of high-elevation snowmelt contributions predicated upon stable hydrogen and oxygen isotope ratios observed in streamflow. We show that deuterium-excess (d-excess) values of stream water could serve as a comparatively cost-effective proxy for a catchment-integrated signal of high-elevation snowmelt contributions to catchment runoff.
We sampled stable hydrogen and oxygen isotope ratios of the precipitation, snowpack, and stream water in the East River, a headwater catchment of the Colorado River, and the stream water of larger catchments at sites on the Gunnison River and Colorado River.
The d-excess of snowpack increased with elevation; the upper subalpine and alpine snowpack (> 3200 m) had substantially higher d-excess compared to lower elevations (< 3200 m) in the study area. The d-excess values of stream water reflected this because d-excess values increased as the higher-elevation snowpack contributed more to stream water generation later in the snowmelt/runoff season. End-member mixing analyses based on the d-excess data showed that the share of high-elevation snowmelt contributions within the snowmelt hydrograph was on average 44 % and generally increased during melt period progression, up to 70 %. The observed pattern was consistent during 6 years for the East River, and a similar relation was found for the larger catchments on the Gunnison and Colorado rivers. High-elevation snowpack contributions were found to be higher for years with lower snowpack and warmer spring temperatures. Thus, we conclude that the d-excess of stream water is a viable proxy to observe changes in high-elevation snowmelt contributions in catchments at various scales. Inter-catchment comparisons and temporal trends of the d-excess of stream water could therefore serve as a catchment-integrated measure to monitor if mountain systems rely on high-elevation water inputs more during snow drought compared to years of average snowpack depths.
Fluvial strata of the Upper Triassic Chinle Formation and Dockum Group, exposed across the Western Interior of North America, have long been interpreted to record a transcontinental river system that connected the ancestral Ouachita orogen of Texas and Oklahoma, USA, to the Auld Lang Syne basin of northwestern Nevada, USA, its inferred marine terminus. Fluvial strata are well-characterized by existing detrital zircon data, but the provenance of the Auld Lang Syne basin is poorly constrained. We present new detrital zircon U-Pb and Hf isotopic data that characterize the provenance of Norian siliciclastic strata that dominate the Auld Lang Syne basin. Mixture modeling of Auld Lang Syne basin data identifies the Alleghany−Ouachita−Marathon belt of eastern Laurentia as a dominant source of sediment, but the presence of Triassic detrital zircon grains in Auld Lang Syne basin strata indicates that at least one peri-Laurentian arc segment had to have also contributed sediment. A comparison of new Hf isotopic data with those characterizing various peri-Laurentian volcanic arcs demonstrates that although multiple arc segments may have simultaneously contributed zircons to the Auld Lang Syne basin, the west Pangean arc of northern Mexico stands out as a unique source of highly evolved Permian to Triassic detrital zircon grains in samples from the Auld Lang Syne basin. Altogether, our data and analyses demonstrate source-to-sink connectivity between the Late Triassic (Norian) Cordilleran margin and remnant late Paleozoic highlands of southern to eastern Laurentia, which ultimately framed a Mississippi River−scale, transcontinental watershed that traversed the topographically subdued Laurentian continental interior.
We examined Holocene benthic foraminiferal biofacies, % planktonic foraminifera, and lithofacies changes from New England mud patch cores and present a relative sea-level (RSL) record to evaluate evolution of these rapidly deposited (30–79 cm/kyr) muds. Sandy lower Holocene sections are dominated by Bulimina marginata. The mud patch developed from 11–9 ka as RSL rise slowed from 10 to 7 mm/yr; mud deposition began when the cores (69 to 91 m modern) were inundated below storm wave base. An Elphidium-B. marginata fauna developed at ca. 7–6 ka as RSL rise slowed from approximately 7 to 2 mm/yr. A Globobulimina fauna developed at 3 ka as RSL rise slowed to 1 mm/yr, reflecting lower O2 conditions. Single specimen δ18O analyses of Globobulimina show ∼1‰ variations over the past 3 kyr, reflecting a shelf bottom water seasonal cycle of 4–5°C, and a temperature minimum during the Little Ice Age with warming since.
We integrate the existing detrital zircon data from multiple modern river sediment samples on Viti Levu, Fiji, with the most current available geological and topographic mapping of the respective river drainage basins to compare detrital populations with potential bedrock sources. The temporal and spatial variations in zircon geochemistry supplement what is known from igneous rocks and confirm the petrological differences between plutonic and volcanic rocks from the Eocene to early Oligocene (Yavuna age, >30 Ma), middle Oligocene to middle Miocene (Wainimala age, 30–12.5 Ma), late Miocene (Colo age, 12.5–6.5 Ma) and latest Miocene (Namosi age, 6.5–5 Ma). The >30 Ma Yavuna-age zircons are restricted to areas that drain the previously mapped Yavuna Group. The 30–12.5 Ma zircons are found across central Viti Levu from west to east, and the 30–15 Ma zircons have distinctively low U/Yb and high Dy/Yb ratios. They are the best radiometric evidence of widespread early to middle Miocene arc magmatism in Fiji that was relatively U-poor. Peak deconvolution of the Colo age zircons from individual basins suggests the following ages for undated or poorly dated plutons from central Viti Levu. The large Mavuvu pluton is probably composed of multiple intrusions in the 12–10 Ma range, the Waiqa pluton is probably ca 10 Ma, and the Noikoro pluton is probably ca 9 Ma. There are zircons from unknown plutonic or volcanic sources between 8 and 7 Ma in western Viti Levu that have distinct Eu/Eu* ratios. We attribute the highest U/Yb ratios in some Colo age zircons to crustal anatexis. Namosi-age zircons are abundant in the Medrausucu Group and can be found scattered across Viti Levu.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08120099.2024.2332916","usgsCitation":"Stork, A., Gill, J.B., Todd, E., and Drewes-Todd, E.K., 2024, Detrital zircons and the magmatic history of Viti Levu, Fiji: Australian Journal of Earth Sciences, v. 71, no. 4, p. 600-614, https://doi.org/10.1080/08120099.2024.2332916.","productDescription":"15 p.","startPage":"600","endPage":"614","ipdsId":"IP-158927","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":462590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","otherGeospatial":"Viti Levu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 177.43906669533374,\n -17.500913430772442\n ],\n [\n 177.19873064880753,\n -17.88906860947432\n ],\n [\n 177.260818220212,\n -18.13326652784113\n ],\n [\n 178.16732836567263,\n -18.29999120264695\n ],\n [\n 178.69067436768728,\n -18.16406457548949\n ],\n [\n 178.60696342416523,\n -17.611114359471088\n ],\n [\n 178.46384444475365,\n -17.49057290416684\n ],\n [\n 178.2912423489197,\n -17.285531380045587\n ],\n [\n 177.91342986027942,\n -17.297020685568988\n ],\n [\n 177.43906669533374,\n -17.500913430772442\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stork, Allen","contributorId":292914,"corporation":false,"usgs":false,"family":"Stork","given":"Allen","email":"","affiliations":[{"id":63071,"text":"Department of Geology, Western Colorado University, Gunnison CO, USA","active":true,"usgs":false}],"preferred":false,"id":915046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":915047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":915048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drewes-Todd, Elizabeth Kathleen 0000-0003-0692-3714","orcid":"https://orcid.org/0000-0003-0692-3714","contributorId":243351,"corporation":false,"usgs":true,"family":"Drewes-Todd","given":"Elizabeth","email":"","middleInitial":"Kathleen","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":915049,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256590,"text":"70256590 - 2024 - Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","interactions":[],"lastModifiedDate":"2024-08-22T16:58:33.688064","indexId":"70256590","displayToPublicDate":"2024-04-13T11:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","docAbstract":"Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined with machine learning algorithms represents a potential path forward to effectively and efficiently monitor the occurrence of rare vocalizing species across entire forest landscapes. Our objectives were to develop and implement a convolutional neural network (PNW-Cnet) to identify vocalizations of a rare and threatened forest nesting bird species – the marbled murrelet (Brachyramphus marmoratus) – in the Pacific Northwest, U.S.A., 2018–2021. We used PNW-Cnet predictions from broadscale passive acoustic monitoring data to examine spatiotemporal patterns in the distribution of murrelets. PNW-Cnet showed sufficiently high prediction accuracy (overall precision > 0.9) to enable broadscale population monitoring. Spatiotemporal analysis showed that annual peak murrelet call abundance occurs in ordinal weeks 28–32 (late July–Mid August) but this varied by study area. The greatest number of detections typically occurred in the Olympic Peninsula and Oregon Coast Range where late-successional forest dominates and nearer to ocean habitats. We demonstrate that passive acoustic monitoring can be used to understand intensity of use across broad scales for a rare and cryptic species in addition to the typical detection/non-detection data that are often collected. Passive acoustic monitoring combined with PNW-Cnet offers considerable promise for species distribution modeling and long-term population monitoring for rare species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112016","usgsCitation":"Duarte, A., Weldy, M.J., Lesmeister, D., Ruff, Z.J., Jenkins, J., Valente, J., and Betts, M., 2024, Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species: Ecological Indicators, v. 162, 112016, 10 p., https://doi.org/10.1016/j.ecolind.2024.112016.","productDescription":"112016, 10 p.","ipdsId":"IP-157789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112016","text":"Publisher Index Page"},{"id":433074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Olympic Peninsula, Oregon Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.82459538488385,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 48.38115798530862\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":341270,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldy, Matthew J.","contributorId":341271,"corporation":false,"usgs":false,"family":"Weldy","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmeister, Damon B.","contributorId":341272,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruff, Zachary J.","contributorId":341273,"corporation":false,"usgs":false,"family":"Ruff","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Julianna","contributorId":341274,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betts, Matthew G.","contributorId":341275,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253900,"text":"70253900 - 2024 - The evolution of a young ocean within Mimas","interactions":[],"lastModifiedDate":"2024-05-03T15:32:06.884586","indexId":"70253900","displayToPublicDate":"2024-04-13T10:29:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The evolution of a young ocean within Mimas","docAbstract":"The fractured, young surfaces on confirmed ocean worlds such as Europa and Enceladus suggest that ocean-bearing moons with relatively thin overlying ice shells should be easy to identify. Hence, the discovery that Mimas’ rotation state is best explained by an internal ocean seems challenging to reconcile with its heavily cratered surface. Previous studies have shown that an internal ocean is compatible with Mimas’ geology as long as the ice shell has been thinning throughout the surface age. This scenario has yet to be placed into context within Mimas’ thermal-orbital history, in particular, the link between tidal dissipation and orbit circularization. Here, we model Mimas’ coupled thermal-orbital evolution, and the implications of an emerging ocean on Mimas’ geology, to determine whether a thinning ice shell is feasible. We find that the ice shell can thin – and the ocean grow – even as the eccentricity decays due to tidal dissipation as long as the ocean formed within the past 10 – 15 million years and the onset of melting occurred when Mimas’ eccentricity was between 2.5 and 3 times the present-day value. As Mimas’ eccentricity continues to decay, the ocean will likely enter an epoch of freezing, leading to fractures within the ice shell and eruptions of ocean material at the surface, before freezing completely. These results suggest that Mimas, Enceladus, and Tethys may represent three points along a continuum of ocean initiation, growth, and loss.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118689","usgsCitation":"Rhoden, A.R., Walker, M.E., Rudolph, M.L., Bland, M.T., and Manga, M., 2024, The evolution of a young ocean within Mimas: Earth and Planetary Science Letters, v. 635, 118689, 11 p., https://doi.org/10.1016/j.epsl.2024.118689.","productDescription":"118689, 11 p.","ipdsId":"IP-161206","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118689","text":"Publisher Index Page"},{"id":428361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mimas","volume":"635","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rhoden, A. R.","contributorId":336143,"corporation":false,"usgs":false,"family":"Rhoden","given":"A.","email":"","middleInitial":"R.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":900036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, M. E.","contributorId":336144,"corporation":false,"usgs":false,"family":"Walker","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":900037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudolph, M. L.","contributorId":336146,"corporation":false,"usgs":false,"family":"Rudolph","given":"M.","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":900038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":900039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":900040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261733,"text":"70261733 - 2024 - Bringing traits back in the equation: A roadmap to understand species redistribution","interactions":[],"lastModifiedDate":"2024-12-20T16:23:08.355471","indexId":"70261733","displayToPublicDate":"2024-04-13T10:13:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Bringing traits back in the equation: A roadmap to understand species redistribution","docAbstract":"Ecological and evolutionary theories have proposed that species traits should be important in mediating species responses to contemporary climate change; yet, empirical evidence has so far provided mixed evidence for the role of behavioral, life history, or ecological characteristics in facilitating or hindering species range shifts. As such, the utility of trait-based approaches to predict species redistribution under climate change has been called into question. We develop the perspective, supported by evidence, that trait variation, if used carefully can have high potential utility, but that past analyses have in many cases failed to identify an explanatory value for traits by not fully embracing the complexity of species range shifts. First, we discuss the relevant theory linking species traits to range shift processes at the leading (expansion) and trailing (contraction) edges of species distributions and highlight the need to clarify the mechanistic basis of trait-based approaches. Second, we provide a brief overview of range shift–trait studies and identify new opportunities for trait integration that consider range-specific processes and intraspecific variability. Third, we explore the circumstances under which environmental and biotic context dependencies are likely to affect our ability to identify the contribution of species traits to range shift processes. Finally, we propose that revealing the role of traits in shaping species redistribution may likely require accounting for methodological variation arising from the range shift estimation process as well as addressing existing functional, geographical, and phylogenetic biases. We provide a series of considerations for more effectively integrating traits as well as extrinsic and methodological factors into species redistribution research. Together, these analytical approaches promise stronger mechanistic and predictive understanding that can help society mitigate and adapt to the effects of climate change on biodiversity.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17271","usgsCitation":"Comte, L., Bertrand, R., Diamond, S.E., Lancaster, L.T., Pinsky, M., Scheffers, B.R., Baecher, J.A., Bandara, R., Chen, I., Lawlor, J.A., Moore, N., Oliveira, B.F., Murienne, J., Rolland, J., Rubenstein, M.A., Sunday, J., Thompson, L., Villalobos, F., Weiskopf, S.R., and Lenoir, J., 2024, Bringing traits back in the equation: A roadmap to understand species redistribution: Global Change Biology, v. 30, no. 4, e17271, 21 p., https://doi.org/10.1111/gcb.17271.","productDescription":"e17271, 21 p.","ipdsId":"IP-160911","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17271","text":"Publisher Index Page"},{"id":465402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":921710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Romain","contributorId":304118,"corporation":false,"usgs":false,"family":"Bertrand","given":"Romain","email":"","affiliations":[{"id":65973,"text":"Universitéde Toulouse 3, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":921711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diamond, Sarah E.","contributorId":347433,"corporation":false,"usgs":false,"family":"Diamond","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":921712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lancaster, Lesley T.","contributorId":146421,"corporation":false,"usgs":false,"family":"Lancaster","given":"Lesley","email":"","middleInitial":"T.","affiliations":[{"id":12486,"text":"National Center for Ecological Analysis and Synthesis, 735 State St. Suite 300, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":921713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinsky, Malin","contributorId":191589,"corporation":false,"usgs":false,"family":"Pinsky","given":"Malin","email":"","affiliations":[],"preferred":false,"id":921714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheffers, Brett R.","contributorId":347438,"corporation":false,"usgs":false,"family":"Scheffers","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":921715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baecher, J. 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U.S. Geological Survey
384 Woods Hole Road
Woods Hole, MA 02543
An intrusion into Kīlauea’s upper East Rift Zone during June 17–19, 2007, during the 1983–2018 Pu‘u‘ō‘ō eruption, led to widespread ground cracking and a small (approximately 1,525 cubic meters) eruption on the northeast flank of Kānenuiohamo, a cone about 6 kilometers upslope from Pu‘u‘ō‘ō. Transmitted and induced very low frequency (VLF) magnetic fields were measured with a handheld VLF receiver along transects spanning the dike trace, and zones of ground cracking related to the intrusion were mapped. The locations of crack zones and the VLF receiver measurements suggest that the Father’s Day dike splayed as it approached the surface, dividing into four segments—one between Pauahi Crater and Pu‘uhuluhulu and three en echelon segments near Kānenuiohamo. The dike did not extend appreciably northeastward beyond the eruption site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245030","usgsCitation":"Orr, T.R., Kauahikaua, J.P., and Heliker, C., 2024, Using ground crack and very low frequency measurements to map the location of the June 2007 Father’s Day dike, Kīlauea Volcano: U.S. Geological Survey Scientific Investigations Report 2024–5030, 44 p., https://doi.org/10.3133/sir20245030.","productDescription":"Report: v, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153402","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499457,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116988.htm","linkFileType":{"id":5,"text":"html"}},{"id":427766,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245030/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5030"},{"id":427764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.jpg"},{"id":427769,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.XML"},{"id":427768,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5030/images"},{"id":427767,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P955VWUV","text":"USGS data release","description":"USGS data release","linkHelpText":"Ground crack, VLF measurement, and sample vesicularity data for the June 2007 Father’s Day eruption, Kīlauea Volcano"},{"id":427765,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5030/sir20245030.pdf","text":"Report","size":"8.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5030"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.4892974286579,\n 19.556742895866662\n ],\n [\n -155.4892974286579,\n 19.173678282684293\n ],\n [\n -155.024498444905,\n 19.173678282684293\n ],\n [\n -155.024498444905,\n 19.556742895866662\n ],\n [\n -155.4892974286579,\n 19.556742895866662\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Volcano Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
Drought-induced groundwater decline and warming associated with climate change are primary threats to dryland riparian woodlands. We used the extreme 2012–2019 drought in southern California as a natural experiment to assess how differences in water-use strategies and groundwater dependence may influence the drought susceptibility of dryland riparian tree species with overlapping distributions. We analyzed tree-ring stable carbon and oxygen isotopes collected from two cottonwood species (Populus trichocarpa and P. fremontii) along the semi-arid Santa Clara River. We also modeled tree source water δ18O composition to compare with observed source water δ18O within the floodplain to infer patterns of groundwater reliance. Our results suggest that both species functioned as facultative phreatophytes that used shallow soil moisture when available but ultimately relied on groundwater to maintain physiological function during drought. We also observed apparent species differences in water-use strategies and groundwater dependence related to their regional distributions. P. fremontii was constrained to more arid river segments and ostensibly used a greater proportion of groundwater to satisfy higher evaporative demand. P. fremontii maintained ∆13C at pre-drought levels up until the peak of the drought, when trees experienced a precipitous decline in ∆13C. This response pattern suggests that trees prioritized maintaining photosynthetic processes over hydraulic safety, until a critical point. In contrast, P. trichocarpa showed a more gradual and sustained reduction in ∆13C, indicating that drought conditions induced stomatal closure and higher water use efficiency. This strategy may confer drought avoidance for P. trichocarpa while increasing its susceptibility to anticipated climate warming.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035928","usgsCitation":"Williams, J., Stella, J.C., Singer, M.B., Lambert, A.M., Voelker, S.L., Drake, J.E., Friedman, J.M., Pelletier, L., Kui, L., and Roberts, D.A., 2024, Seasonal and species-level water-use strategies and groundwater dependence in dryland riparian woodlands during extreme drought: Water Resources Research, v. 60, no. 4, e2023WR035928, 19 p., https://doi.org/10.1029/2023WR035928.","productDescription":"e2023WR035928, 19 p.","ipdsId":"IP-154460","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035928","text":"Publisher Index Page"},{"id":427819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.3291956794047,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.69656575071852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jared","contributorId":298516,"corporation":false,"usgs":false,"family":"Williams","given":"Jared","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stella, John C.","contributorId":174328,"corporation":false,"usgs":false,"family":"Stella","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27417,"text":"Department of Forest and Natural Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210 USA","active":true,"usgs":false}],"preferred":false,"id":898881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Michael Bliss 0000-0002-6899-2224","orcid":"https://orcid.org/0000-0002-6899-2224","contributorId":299449,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"Bliss","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":898882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Adam M.","contributorId":335631,"corporation":false,"usgs":false,"family":"Lambert","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voelker, Steven L.","contributorId":176586,"corporation":false,"usgs":false,"family":"Voelker","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":898884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, John E.","contributorId":335632,"corporation":false,"usgs":false,"family":"Drake","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898886,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pelletier, Lissa","contributorId":298520,"corporation":false,"usgs":false,"family":"Pelletier","given":"Lissa","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898887,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kui, Li","contributorId":194515,"corporation":false,"usgs":false,"family":"Kui","given":"Li","email":"","affiliations":[],"preferred":false,"id":898888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898889,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252988,"text":"70252988 - 2024 - Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","interactions":[],"lastModifiedDate":"2024-04-16T15:35:55.516243","indexId":"70252988","displayToPublicDate":"2024-04-12T10:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","title":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","docAbstract":"Effective habitat management for rare and endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in the analyses of habitat use by wildlife, the primary focus of these models has been on generating spatial predictions. In this study, we used machine learning models in combination with simulated management actions to guide planning and inform managers. We used data from 61 whooping cranes (Grus americana) tagged with GPS telemetry collars between 2009 and 2018 near Aransas National Wildlife Refuge in coastal Texas. We included variables based on topography, land use classification, vegetation height, plant phenology, drought, storm surge events, and both wild and prescribed fires. We then built models at multiple scales: population level, home range level, and roosting and daytime within home range level. We simulated responses to the two primary management actions used to enhance whooping crane habitat on Aransas National Wildlife Refuge: prescribed fire and removal of woody vegetation. At the population and home range scales, land use classification variables had the highest importance values, whereas the combined elevation and bathymetry layer was the most important predictor at both roosting and daytime within home range scales. Our findings revealed that the effects of fire, although generally modest, varied spatially. Areas dominated by estuarine wetlands exhibited higher predicted use within the first months after a fire, whereas those dominated by palustrine wetlands were more likely to be avoided in the immediate postfire years. Our simulation of vegetation removal identified the areas on Aransas National Wildlife Refuge where whooping cranes were predicted to benefit the most if vegetation were removed. These techniques can be used by other researchers wanting to examine and predict the effects of potential management actions on target species habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4820","usgsCitation":"Lehnen, S.E., Sesnie, S., Butler, M.J., Pearse, A.T., and Metzger, K.L., 2024, Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast: Ecosphere, v. 15, no. 4, e4820, 19 p., https://doi.org/10.1002/ecs2.4820.","productDescription":"e4820, 19 p.","ipdsId":"IP-154780","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4820","text":"Publisher Index Page"},{"id":427816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.40722242363222,\n 28.90776261197753\n ],\n [\n -97.13839987001899,\n 29.222267406234465\n ],\n [\n -98.73867639073208,\n 28.864354149984962\n ],\n [\n -98.56563608351834,\n 27.049501678715416\n ],\n [\n -97.20145548476677,\n 26.91559995478883\n ],\n [\n -95.40722242363222,\n 28.90776261197753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":898862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sesnie, Steven E.","contributorId":315379,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven E.","affiliations":[{"id":68297,"text":"U.S. Fish and Wildlife Service, Division of Biological Sciences, Albuquerque, NM 87102, USA","active":true,"usgs":false}],"preferred":false,"id":898863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Matthew J.","contributorId":296149,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":898865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":898866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253183,"text":"70253183 - 2024 - Paranannizziopsis spp. Infection in Wild Vipers, Europe","interactions":[],"lastModifiedDate":"2024-05-07T14:40:51.674174","indexId":"70253183","displayToPublicDate":"2024-04-12T09:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Paranannizziopsis spp. Infection in Wild Vipers, Europe","docAbstract":"We describe the first detection of Paranannizziopsis sp. in a wild population of vipers in Europe. Fungal infections were severe and one individual likely died from infection. Surveillance efforts are needed to better understand the threat of this pathogen to snake conservation.","language":"English","publisher":"CDC","doi":"10.3201/eid3005.231317","usgsCitation":"Blanvillain, G., Martínez-Freiría, F., Hoyt, J.R., Lorch, J., and Martinez Silvestre, A., 2024, Paranannizziopsis spp. Infection in Wild Vipers, Europe: Emerging Infectious Diseases, v. 30, no. 5, p. 1000-1003, https://doi.org/10.3201/eid3005.231317.","productDescription":"4 p.","startPage":"1000","endPage":"1003","ipdsId":"IP-159670","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":439865,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid3005.231317","text":"Publisher Index Page"},{"id":428071,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal, Spain","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":144,\"properties\":{\"name\":\"Portugal\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.67195,42.13469],[-8.26386,42.28047],[-8.01317,41.79089],[-7.42251,41.79207],[-7.25131,41.91835],[-6.66861,41.88339],[-6.38909,41.38182],[-6.85113,41.11108],[-6.86402,40.33087],[-7.02641,40.18452],[-7.06659,39.71189],[-7.49863,39.62957],[-7.09804,39.03007],[-7.37409,38.37306],[-7.02928,38.07576],[-7.16651,37.80389],[-7.53711,37.4289],[-7.45373,37.09779],[-7.85561,36.83827],[-8.38282,36.97888],[-8.89886,36.86881],[-8.7461,37.65135],[-8.84,38.26624],[-9.28746,38.35849],[-9.52657,38.73743],[-9.44699,39.39207],[-9.04831,39.75509],[-8.97735,40.15931],[-8.76868,40.76064],[-8.79085,41.18433],[-8.99079,41.54346],[-9.03482,41.88057],[-9.03482,41.88057]]]}},{\"type\":\"Feature\",\"id\":158,\"properties\":{\"name\":\"Spain\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.98443,42.59278],[-9.39288,43.02662],[-7.97819,43.74834],[-6.75449,43.56791],[-5.41189,43.57424],[-4.34784,43.40345],[-3.51753,43.4559],[-1.90135,43.4228],[-1.50277,43.03401],[0.33805,42.57955],[0.70159,42.79573],[1.82679,42.34338],[2.986,42.47302],[3.03948,41.89212],[2.09184,41.22609],[0.81052,41.01473],[0.72133,40.67832],[0.10669,40.12393],[-0.27871,39.30998],[0.11129,38.73851],[-0.46712,38.29237],[-0.68339,37.64235],[-1.43838,37.44306],[-2.14645,36.67414],[-3.41578,36.6589],[-4.3689,36.67784],[-4.99522,36.32471],[-5.37716,35.94685],[-5.86643,36.02982],[-6.23669,36.36768],[-6.52019,36.94291],[-7.45373,37.09779],[-7.53711,37.4289],[-7.16651,37.80389],[-7.02928,38.07576],[-7.37409,38.37306],[-7.09804,39.03007],[-7.49863,39.62957],[-7.06659,39.71189],[-7.02641,40.18452],[-6.86402,40.33087],[-6.85113,41.11108],[-6.38909,41.38182],[-6.66861,41.88339],[-7.25131,41.91835],[-7.42251,41.79207],[-8.01317,41.79089],[-8.26386,42.28047],[-8.67195,42.13469],[-9.03482,41.88057],[-9.03482,41.88057]]]}}]}","volume":"30","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blanvillain, Gaelle","contributorId":335744,"corporation":false,"usgs":false,"family":"Blanvillain","given":"Gaelle","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":899402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martínez-Freiría, Fernando","contributorId":335745,"corporation":false,"usgs":false,"family":"Martínez-Freiría","given":"Fernando","affiliations":[{"id":28077,"text":"Universidade do Porto","active":true,"usgs":false}],"preferred":false,"id":899403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":899404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":335548,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":899405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez Silvestre, Albert","contributorId":335746,"corporation":false,"usgs":false,"family":"Martinez Silvestre","given":"Albert","email":"","affiliations":[{"id":80496,"text":"Catalonian Reptiles and Amphibians Rescue Center","active":true,"usgs":false}],"preferred":false,"id":899406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253188,"text":"70253188 - 2024 - Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity","interactions":[],"lastModifiedDate":"2024-07-30T14:25:07.421636","indexId":"70253188","displayToPublicDate":"2024-04-12T09:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity","docAbstract":"Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background or gridded seismicity model component of the NSHM. As in 2018, we use a combination of fixed and adaptive kernel Gaussian smoothing. However, we implement two additional declustering methods to account for the fact that declustering is a nonunique process. These new declustering methods result in different forecasts for the locations of future seismicity, as represented by spatial probability density functions that are later combined with a rate model to produce a full gridded earthquake rate forecast. The method updates, particularly in the separation of the spatial and rate models as well as revised regional boundaries, in some places cause substantive changes to the seismic hazard forecast compared to the previous 2018 NSHM. Additional updates to catalog processing and induced seismicity zones also contribute to changes in the gridded seismicity hazard since 2018. However, these changes are well understood and reflect improvements in our modeling of gridded seismicity hazard.
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These hotspots largely determine the structure and functioning of drylands worldwide. Despite their ubiquity, the factors controlling fertile islands under conditions of contrasting grazing by livestock, the most prevalent land use in drylands, remain virtually unknown. Here we evaluated the relative importance of grazing pressure and herbivore type, climate and plant functional traits on 24 soil physical and chemical attributes that represent proxies of key ecosystem services related to decomposition, soil fertility, and soil and water conservation. To do this, we conducted a standardized global survey of 288 plots at 88 sites in 25 countries worldwide. We show that aridity and plant traits are the major factors associated with the magnitude of plant effects on fertile islands in grazed drylands worldwide. Grazing pressure had little influence on the capacity of plants to support fertile islands. Taller and wider shrubs and grasses supported stronger island effects. Stable and functional soils tended to be linked to species-rich sites with taller plants. Together, our findings dispel the notion that grazing pressure or herbivore type are linked to the formation or intensification of fertile islands in drylands. Rather, our study suggests that changes in aridity, and processes that alter island identity and therefore plant traits, will have marked effects on how perennial plants support and maintain the functioning of drylands in a more arid and grazed world.
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Viedma, Río Negro, Argentina. - CONICET","active":true,"usgs":false}],"preferred":false,"id":904000,"contributorType":{"id":1,"text":"Authors"},"rank":105},{"text":"Travers, Samantha K.","contributorId":240682,"corporation":false,"usgs":false,"family":"Travers","given":"Samantha","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":904001,"contributorType":{"id":1,"text":"Authors"},"rank":106},{"text":"Valko, Orsolya","contributorId":261619,"corporation":false,"usgs":false,"family":"Valko","given":"Orsolya","email":"","affiliations":[{"id":52903,"text":"Lendület Seed Ecology Research Group, Institute of Ecology and Botany, Centre for Ecological Research, Debrecen, Hungary","active":true,"usgs":false}],"preferred":false,"id":904002,"contributorType":{"id":1,"text":"Authors"},"rank":107},{"text":"van den Brink, Liesbeth","contributorId":300463,"corporation":false,"usgs":false,"family":"van den Brink","given":"Liesbeth","email":"","affiliations":[{"id":65156,"text":"Plant Ecology Group, University of Tübingen, Tübingen, Germany.","active":true,"usgs":false}],"preferred":false,"id":904003,"contributorType":{"id":1,"text":"Authors"},"rank":108},{"text":"Velbert, Frederike","contributorId":300465,"corporation":false,"usgs":false,"family":"Velbert","given":"Frederike","email":"","affiliations":[{"id":65134,"text":"Institute of Landscape Ecology, University of Münster, Münster, Germany.","active":true,"usgs":false}],"preferred":false,"id":904004,"contributorType":{"id":1,"text":"Authors"},"rank":109},{"text":"von Hessberg, Andreas","contributorId":339305,"corporation":false,"usgs":false,"family":"von Hessberg","given":"Andreas","email":"","affiliations":[{"id":81288,"text":"Disturbance Ecology and Vegetation Dynamics, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitaetsstrasse 30, 95440 Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":904005,"contributorType":{"id":1,"text":"Authors"},"rank":110},{"text":"Wamiti, Wanyoike","contributorId":265381,"corporation":false,"usgs":false,"family":"Wamiti","given":"Wanyoike","email":"","affiliations":[{"id":54660,"text":"Zoology Department, National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":904006,"contributorType":{"id":1,"text":"Authors"},"rank":111},{"text":"Wang, Deli","contributorId":214265,"corporation":false,"usgs":false,"family":"Wang","given":"Deli","email":"","affiliations":[{"id":39004,"text":"Northeast Normal University","active":true,"usgs":false}],"preferred":false,"id":904007,"contributorType":{"id":1,"text":"Authors"},"rank":112},{"text":"Wang, Lixin","contributorId":300466,"corporation":false,"usgs":false,"family":"Wang","given":"Lixin","affiliations":[{"id":65165,"text":"Department of Earth Sciences, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.","active":true,"usgs":false}],"preferred":false,"id":904008,"contributorType":{"id":1,"text":"Authors"},"rank":113},{"text":"Wardle, Glenda M.","contributorId":300467,"corporation":false,"usgs":false,"family":"Wardle","given":"Glenda M.","affiliations":[{"id":65131,"text":"Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.","active":true,"usgs":false}],"preferred":false,"id":904009,"contributorType":{"id":1,"text":"Authors"},"rank":114},{"text":"Yahdjian, Laura","contributorId":187584,"corporation":false,"usgs":false,"family":"Yahdjian","given":"Laura","email":"","affiliations":[],"preferred":false,"id":904010,"contributorType":{"id":1,"text":"Authors"},"rank":115},{"text":"Zaady, Eli","contributorId":300468,"corporation":false,"usgs":false,"family":"Zaady","given":"Eli","affiliations":[{"id":65166,"text":"Department of Natural Resources, Agricultural Research Organization, Institute of Plant Sciences, Gilat Research Center, Mobile Post Negev, Israel.","active":true,"usgs":false}],"preferred":false,"id":904011,"contributorType":{"id":1,"text":"Authors"},"rank":116},{"text":"Zhang, Yuanming","contributorId":173232,"corporation":false,"usgs":false,"family":"Zhang","given":"Yuanming","email":"","affiliations":[{"id":27200,"text":"Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","active":true,"usgs":false}],"preferred":false,"id":904012,"contributorType":{"id":1,"text":"Authors"},"rank":117},{"text":"Zhou, Xiaobing","contributorId":181757,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiaobing","email":"","affiliations":[],"preferred":false,"id":904013,"contributorType":{"id":1,"text":"Authors"},"rank":118},{"text":"Maestre, Fernando T.","contributorId":207297,"corporation":false,"usgs":false,"family":"Maestre","given":"Fernando","email":"","middleInitial":"T.","affiliations":[{"id":37513,"text":"Departamento de Biología y Geología, Física y Química Inorgánica, ESCET, Universidad Rey Juan Carlos, c/ Tulipán s/n, 28933 Móstoles, Spain","active":true,"usgs":false}],"preferred":false,"id":904014,"contributorType":{"id":1,"text":"Authors"},"rank":119}]}} ,{"id":70252976,"text":"70252976 - 2024 - Modeling the impacts of Glen Canyon Dam operations on Colorado River resources","interactions":[],"lastModifiedDate":"2024-04-15T11:45:27.891709","indexId":"70252976","displayToPublicDate":"2024-04-12T06:43:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Modeling the impacts of Glen Canyon Dam operations on Colorado River resources","docAbstract":"At the time of this report, the Bureau of Reclamation (Reclamation) is writing two supplemental Environmental Impact Statements (sEIS ) and a new Environmental Impact Statement (EIS) that will analyze the effects of changing water flow out of Glen Canyon Dam (GCD) (U.S. Department of Interior, 2024). These actions have the potential to affect downstream resources, including threatened and endangered species, in the Grand Canyon. This report covers modeling support provided on the two sEIS by the USGS Grand Canyon Monitoring and Research Center (GCMRC; U.S. Geological Survey, Southwest Biological Science Center). The first sEIS (Interim Guidelines sEIS) modifies Reclamation’s 2007 Colorado River Interim Guidelines for Lower Basin Shortages and Coordinated Operations for Lake Powell and Lake Mead (USBR, 2007) that determines annual water releases from GCD based on inflow to Lake Powell, the power generating requirements of GCD, and relative lake levels of Lake Powell and Lake Mead. Drought conditions have lowered the level of Lake Powell and may require GCD to release less water than was analyzed in the Interim EIS (7-million-acre feet/year). The effect of less water released, as well as lower lake levels and associated water quality concerns, on downstream resources was not analyzed in the 2007 Interim Guidelines EIS. Reclamation requested GCMRC support to provide models predicting the effects to resources of water releases lower than 7M acre feet/year, including models predicting effects to threatened and endangered species for use in a Biological Assessment.","language":"English","publisher":"Bureau of Reclamation","collaboration":"Bureau of Reclamation, Glen Canyon Dam Adaptive Management Program","usgsCitation":"Yackulic, C., Bair, L., Eppehimer, D.E., Salter, G.L., Deemer, B., Butterfield, B.J., Kasprak, A., Caster, J., Fairley, H.C., Grams, P.E., Mihalevich, B.A., Palmquist, E.C., and Sankey, J., 2024, Modeling the impacts of Glen Canyon Dam operations on Colorado River resources, ii, 133 p.","productDescription":"ii, 133 p.","ipdsId":"IP-163024","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":427772,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/uc/progact/amp/pdfs/LTEMP/20240408-ModelingImpactsGlenCanyonDamOperationsColoradoRiverResources-508-UCRO.pdf"},{"id":427780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hartwell, Meredith A. 0000-0001-6350-5450 mhartwell@usgs.gov","orcid":"https://orcid.org/0000-0001-6350-5450","contributorId":4842,"corporation":false,"usgs":true,"family":"Hartwell","given":"Meredith","email":"mhartwell@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898821,"contributorType":{"id":2,"text":"Editors"},"rank":14}],"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":898813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":898814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898815,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":898816,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898817,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mihalevich, Bryce Anthony 0000-0001-5492-221X","orcid":"https://orcid.org/0000-0001-5492-221X","contributorId":335493,"corporation":false,"usgs":false,"family":"Mihalevich","given":"Bryce","email":"","middleInitial":"Anthony","affiliations":[{"id":80423,"text":"U.S. Bureau of Reclamation, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":898818,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898819,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898820,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70254514,"text":"70254514 - 2024 - Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States","interactions":[],"lastModifiedDate":"2024-05-30T11:43:36.09668","indexId":"70254514","displayToPublicDate":"2024-04-12T06:42:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States","docAbstract":"Atlantic menhaden are a highly migratory marine species in the Eastern United States that suffer from seasonal chronic mortality. Affected fish show neurologic signs referred to as spinning disease, including circling at the surface and erratic corkscrew swimming before death. We investigated three similar menhaden mortality events consistent with spinning disease in coastal New Jersey and New York between 2020 and 2021 to understand the cause. A unique strain of Vibrio (Listonella) anguillarum (serogroup O3) was detected regularly in high loads, particularly in the brains of moribund fish, by both metagenomics and bacterial isolation. The most common histopathological changes in moribund fish were hemorrhagic meningitis, encephalitis, pyknosis, and karyorrhexis of hematopoietic tissues in the kidney and spleen. Whole genome sequencing of isolates from moribund fish representing a wide spatial and temporal range showed that they were nearly identical clones, suggesting it to be a pathogenic strain circulating in the population. Though V. anguillarum is believed to be the main pathogen associated with spinning disease and mortality, Yersinia ruckeri (serotype O1) was isolated from smaller numbers of fish. Considering the highly migratory nature of Atlantic menhaden throughout the eastern United States and their use as bait for other fisheries, these findings identify potential biosecurity challenges that should be considered in Atlantic salmon aquaculture, fisheries, and emerging marine aquaculture in the region.
","language":"English","publisher":"Hindawi","doi":"10.1155/2024/8816604","usgsCitation":"Lovy, J., Iwanowicz, L., Welch, T.J., Allem, B., Getchell, R.G., Geraci-Yee, S., Goodale, C., Snyder, J., Raines, C.D., and Das, N., 2024, Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States: Transboundary and Emerging Diseases, v. 2024, 8816604 , 18 p., https://doi.org/10.1155/2024/8816604.","productDescription":"8816604 , 18 p.","ipdsId":"IP-153348","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/8816604","text":"Publisher Index Page"},{"id":429380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":901692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Timothy J.","contributorId":336999,"corporation":false,"usgs":false,"family":"Welch","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":80941,"text":"National Center for Cool and Cold Water Aquaculture, US Department of Agriculture/Agricultural Research Service, WV 25430, USA","active":true,"usgs":false}],"preferred":false,"id":901694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allem, Bassem","contributorId":337000,"corporation":false,"usgs":false,"family":"Allem","given":"Bassem","email":"","affiliations":[{"id":80942,"text":"School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, USA","active":true,"usgs":false}],"preferred":false,"id":901695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Getchell, Rodman G.","contributorId":201129,"corporation":false,"usgs":false,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":901696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geraci-Yee, Sabrina","contributorId":337001,"corporation":false,"usgs":false,"family":"Geraci-Yee","given":"Sabrina","email":"","affiliations":[{"id":80942,"text":"School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, USA","active":true,"usgs":false}],"preferred":false,"id":901697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodale, Christine L","contributorId":243972,"corporation":false,"usgs":false,"family":"Goodale","given":"Christine L","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":901698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, Jeremy","contributorId":337002,"corporation":false,"usgs":false,"family":"Snyder","given":"Jeremy","email":"","affiliations":[{"id":80943,"text":"Animal Health Diagnostic Laboratory, New Jersey Department of Agriculture, Ewing, NJ 08628, USA","active":true,"usgs":false}],"preferred":false,"id":901699,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901700,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Das, Nilanjana","contributorId":337003,"corporation":false,"usgs":false,"family":"Das","given":"Nilanjana","email":"","affiliations":[{"id":80944,"text":"Office of Fish and Wildlife Health and Forensics, New Jersey Fish and Wildlife, Oxford, NJ 07863, USA","active":true,"usgs":false}],"preferred":false,"id":901701,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70254074,"text":"70254074 - 2024 - Methane seeps on the U.S. Atlantic margin: An updated inventory and interpretative framework","interactions":[],"lastModifiedDate":"2024-05-06T11:10:25.339469","indexId":"70254074","displayToPublicDate":"2024-04-12T06:08:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Methane seeps on the U.S. Atlantic margin: An updated inventory and interpretative framework","docAbstract":"Since the discovery of >570 methane flares on the northern U.S. Atlantic margin between Cape Hatteras and Georges Bank in the last decade, the acquisition of thousands of kilometers of additional water column imaging data has provided greater coverage at water depths between the outer continental shelf and the lower continental slope. The additional high-resolution data reveal >1400 gas flares, but the removal of probable duplicates from the combined database of new flares and those recognized in 2014 yields ∼1139 unique sites. Most of these sites occur in clusters of 5 or more seeps, leaving about 275 unique locations (including 47 clusters) for seepage along the margin. As a function of depth, seep distribution is heavily skewed toward the upper continental slope at water depths shallower than 400 m on the southern New England margin and ∼ 550 m in the Mid-Atlantic Bight, with additional seeps clustered at ∼1100 m and just deeper than ∼1400 m in both sectors. Despite little ongoing tectonic deformation or active faulting on this passive margin, a variety of processes driven from below the seafloor (e.g., migration of fluids along faults or through permeable strata, seepage above diapirs or other pre-existing structures) and from above (e.g., erosion, sapping, unroofing) contribute to the development of seeps in different settings along the margin. In addition, the prevalence of seeps on promontories overlooking shelf-breaking canyons may be directly related to the three-dimensional nature of the hydrate stability zone in these locations. As a function of depth, the parts of the slope at the contemporary landward limit of gas hydrate stability are devoid of seeps, and the upper slope zones with the most concentrated seepage were not within the gas hydrate stability zone even during the Last Glacial Maximum. Thus, if the large number of upper slope seeps is at least partially sourced in gas hydrate degradation, the gas emitted at these seeps must have migrated there from greater depths on the continental slope.
Age and growth data are frequently used to monitor and manage important North American sport fishes such as Largemouth Bass Micropterus salmoides. Continental and regional growth standards have been developed for this species to assess fish growth over time and across space. However, Largemouth Bass age and growth data are infrequently collected in Arizona and the reliability of age estimates derived from typical structures (e.g., scales, otoliths) in the Southwest is uncertain. Our objectives were to 1) compare precision and bias of age estimates from scales with those from otoliths and 2) estimate Largemouth Bass growth in several southwestern warmwater reservoirs by using otoliths. We collected Largemouth Bass from three Arizona reservoirs—Alamo, Peña Blanca, and Roosevelt—by boat electrofishing in spring 2021. We removed scales and sagittal otoliths from fish and then prepared and independently aged them three times. We compared differences in precision and bias between scales and otoliths using reader agreement percentages, confidence ratings, average coefficients of variation, and age-bias plots. We used age estimates from Largemouth Bass otoliths to calculate mean lengths-at-age at capture and relative growth indices based on published growth standards in each reservoir. Largemouth Bass scale age estimates were less precise, overestimated ages of younger fish, and underestimated age of older fish compared with those of otoliths. Growth was lower in Peña Blanca Lake than in the other two reservoirs according to mean length-at-age estimates, and relative growth indices suggested that Largemouth Bass growth in all three reservoirs was above average at younger ages, but less so at older ages. The results from this study add to a growing body of literature supporting the use of otoliths for estimating age and growth of Largemouth Bass.
","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-23-006","usgsCitation":"Ingram, S., Grant, J., Beard, Z.S., Berg, N., Ringelman, A.M., and Bonar, S.A., 2024, Estimating age and growth of Largemouth Bass in southwestern reservoirs using otoliths and scales: Journal of Fish and Wildlife Management, v. 14, no. 2, p. 315-323, https://doi.org/10.3996/JFWM-23-006.","productDescription":"9 p.","startPage":"315","endPage":"323","ipdsId":"IP-152855","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-006","text":"Publisher Index Page"},{"id":429650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Alamo Lake, Rena Blanca Lake, Roosevelt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.08210462737988,\n 31.40979882180362\n ],\n [\n -111.0921670470852,\n 31.40979882180362\n ],\n [\n -111.0921670470852,\n 31.397486172336002\n ],\n [\n -111.08210462737988,\n 31.397486172336002\n ],\n [\n -111.08210462737988,\n 31.40979882180362\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.55375068272383,\n 34.281204643167825\n ],\n [\n -113.61396524331289,\n 34.281204643167825\n ],\n [\n -113.61396524331289,\n 34.22354373694439\n ],\n [\n -113.55375068272383,\n 34.22354373694439\n ],\n [\n -113.55375068272383,\n 34.281204643167825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.2613555367119,\n 33.79316218206927\n ],\n [\n -111.2613555367119,\n 33.6099720664448\n ],\n [\n -110.9547021734547,\n 33.6099720664448\n ],\n [\n -110.9547021734547,\n 33.79316218206927\n ],\n [\n -111.2613555367119,\n 33.79316218206927\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ingram, Steven J.","contributorId":288205,"corporation":false,"usgs":false,"family":"Ingram","given":"Steven J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Joshua D.","contributorId":288304,"corporation":false,"usgs":false,"family":"Grant","given":"Joshua D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":902427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berg, Nathan","contributorId":337443,"corporation":false,"usgs":false,"family":"Berg","given":"Nathan","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":902428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ringelman, Anna M.","contributorId":337445,"corporation":false,"usgs":false,"family":"Ringelman","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":902429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902430,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254780,"text":"70254780 - 2024 - Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture-recapture models","interactions":[],"lastModifiedDate":"2024-06-07T14:54:04.427532","indexId":"70254780","displayToPublicDate":"2024-04-11T09:50:06","publicationYear":"2024","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":"Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture-recapture models","docAbstract":"In the U.S. Pacific Northwest, climate change is increasing air temperatures, decreasing warm season (April–September) streamflow, and increasing cool season (October–March) streamflow. Warmer water temperatures may alter conditions for migratory coldwater fishes like the Bull Trout Salvelinus confluentus. Consequently, an understanding of Bull Trout migration and survival is critical for species conservation and restoration. In the Salmon River basin, Idaho, 1992 and 1993 transpired to be two of the most opposing extreme years among the past three decades for warm season water temperature and streamflow. These extremes provided a unique opportunity to retrospectively compare Bull Trout survival and migration under potential climate change scenarios.
We evaluated prespawning and postspawning migrations and survival of fluvial Bull Trout that were radio-tagged and tracked from 1992 to 1994. We used a Cormack–Jolly–Seber linear spatial capture–recapture model to simultaneously model the migration and survival of radio-tagged prespawn (n = 58) and postspawn (n = 23) Bull Trout among weeks and river reaches with streamflow, water temperature, and habitat covariates.
Most individual prespawning migrations were similar among tagged fish, whereas postspawn fish adopted multiple migration and overwintering strategies. Movements of prespawn Bull Trout were larger when (1) weekly average daily maximum streamflow increased and (2) weekly average daily maximum water temperature increased. The model estimated that at least 52% of spawners survived to spawning, and mean weekly prespawning apparent survival was higher in the low-streamflow year (1992) than in the year with higher and more variable streamflow (1993). Survival of 1992–1994 fish during the 38-week postspawning period was intermediate to that in the prespawning period. Detections of prespawn Bull Trout were generally higher at sites with more complex habitats, less large woody debris, and fewer undercut banks.
We found that the prespawn life stage can represent a shorter time frame (14–18 weeks) with increased mortality compared to the longer postspawning period (38 weeks). Bull Trout apparent survival increased with lower streamflow variability, indicating that expected future changes in climate may adversely affect Bull Trout.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10464","usgsCitation":"Wohner, P., Thurow, R.F., and Peterson, J., 2024, Evaluating streamflow and temperature effects on Bull Trout migration and survival with linear spatial capture-recapture models: Transactions of the American Fisheries Society, v. 153, no. 3, p. 326-346, https://doi.org/10.1002/tafs.10464.","productDescription":"21 p.","startPage":"326","endPage":"346","ipdsId":"IP-159745","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Rapid River, Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.24896032398794,\n 46.02582243642945\n ],\n [\n -117.24896032398794,\n 44.29228397972153\n ],\n [\n -115.22929879910345,\n 44.29228397972153\n ],\n [\n -115.22929879910345,\n 46.02582243642945\n ],\n [\n -117.24896032398794,\n 46.02582243642945\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"153","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti","contributorId":337609,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurow, Russell F.","contributorId":21035,"corporation":false,"usgs":true,"family":"Thurow","given":"Russell","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":902520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252903,"text":"tm19I1 - 2024 - Stony coral tissue loss disease (SCTLD) case definition for wildlife","interactions":[{"subject":{"id":70252903,"text":"tm19I1 - 2024 - Stony coral tissue loss disease (SCTLD) case definition for wildlife","indexId":"tm19I1","publicationYear":"2024","noYear":false,"displayTitle":"Stony Coral Tissue Loss Disease (SCTLD) Case Definition for Wildlife","title":"Stony coral tissue loss disease (SCTLD) case definition for wildlife"},"predicate":"IS_PART_OF","object":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"id":1}],"isPartOf":{"id":70251831,"text":"tm19 - 2024 - Case definitions for wildlife diseases","indexId":"tm19","publicationYear":"2024","noYear":false,"title":"Case definitions for wildlife diseases"},"lastModifiedDate":"2024-04-11T16:04:12.109785","indexId":"tm19I1","displayToPublicDate":"2024-04-11T09:24:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"19-I1","displayTitle":"Stony Coral Tissue Loss Disease (SCTLD) Case Definition for Wildlife","title":"Stony coral tissue loss disease (SCTLD) case definition for wildlife","docAbstract":"Diagnostic laboratories receive carcasses and samples for diagnostic evaluation and pathogen/toxin detection. Case definitions bring clarity and consistency to the evaluation process. Their use within and between organizations allows more uniform reporting of diseases and etiologic agents. The intent of a case definition is to provide scientifically based criteria for determining (a) if an individual carcass has a specific disease and degree of confidence in that diagnosis and (b) if there is evidence of a pathogen or toxin in a carcass or sample (for example, swab, tissue sample, skin scraping, blood/serum sample, environmental sample, or other). This case definition is specific to Stony Coral Tissue Loss Disease (SCTLC) and applies to several species of scleractinian corals across seven families: Faviidae, Meandrinidae, Merulinidae, Montastraeidae, Astrocoeniidae, Scleractinia, and Siderastreidae. Other species presumed to be susceptible are in Families Agaridiidae, Faviidae, and Pocilloporidae.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm19I1","usgsCitation":"Hawthorn, A.C., Dennis, M., Kiryu, Y., Landsberg, J., Peters, E., and Work, T., 2024, Stony coral tissue loss disease (SCTLD) case definition for wildlife: U.S. Geological Survey Techniques and Methods, book 19, chap. I1, 20 p., https://doi.org/10.3133/tm19I1.","productDescription":"v, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134664","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":427644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/19/i1/coverthb.jpg"},{"id":427645,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/19/i1/tm19i1.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 19–I1"},{"id":427646,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/19/i1/tm19i1.XML"},{"id":427647,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/19/i1/images/"},{"id":427648,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm19I1/full"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas, Florida Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.31439714000854,\n 27.286622745734817\n ],\n [\n -80.1191755878336,\n 26.8701750213679\n ],\n [\n -80.11104135649279,\n 26.41576907894178\n ],\n [\n -80.15984674453655,\n 26.018059422472206\n ],\n [\n -80.26965886763494,\n 25.710644312498005\n ],\n [\n -80.40387368475523,\n 25.398759013110762\n ],\n [\n -80.48114804854174,\n 25.25538640319452\n ],\n [\n -80.71704075741965,\n 25.207558306490128\n ],\n [\n -81.22651907804253,\n 25.173229412984227\n ],\n [\n -81.09461283077643,\n 25.04800149811189\n ],\n [\n -80.86417851770696,\n 25.05022870950942\n ],\n [\n -80.756807831039,\n 25.016022813379557\n ],\n [\n -83.16794538238226,\n 24.743980863035485\n ],\n [\n -83.01790787053496,\n 24.517137446824194\n ],\n [\n -82.03613709565344,\n 24.47567610359573\n ],\n [\n -81.08308116774768,\n 24.602582503765035\n ],\n [\n -80.38353727245429,\n 25.00868679478633\n ],\n [\n -80.13137610089484,\n 25.483230177271977\n ],\n [\n -79.97275822510531,\n 26.506794337548456\n ],\n [\n -79.98902668778686,\n 26.935459771825705\n ],\n [\n -80.10290592655544,\n 27.329988407000343\n ],\n [\n -80.31439714000854,\n 27.286622745734817\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, National Wildlife Health Center
U.S. Geological Survey
6006 Schroeder Road
Madison, WI 53711
Broadly distributed across the Western United States, ungulates (hooved mammals) play an important role in ecosystem function by affecting vegetation communities and forming the prey base for large carnivores. Additionally, ungulates provide economic benefits to regional communities through tourism and hunting and hold cultural significance for many Tribal communities. Many ungulates migrate seasonally between distinct summer and winter ranges to take advantage of spatially and temporally variable food sources and avoid threats such as predators and deep snow. Increasingly, these migrations are threatened by the growing human footprint and associated subdivisions, energy development, and increased traffic volume. Efforts to study ungulate populations and conserve their migrations received support in recent years from the U.S. Department of the Interior Secretarial Order No. 3362, which provided Federal support for enhancing habitat quality for ungulates across the Western States. In response to Secretarial Order No. 3362, the U.S. Geological Survey (USGS) established the Corridor Mapping Team, a collaboration among USGS and participating State and Federal wildlife management agencies and numerous Tribal Nations. Together, the Corridor Mapping Team maps ungulate migrations throughout the Western United States in the USGS “Ungulate Migrations of the Western United States” report series. This report (volume 4) details migrations and seasonal ranges from 31 new herds throughout nine Western States. Additionally, this report includes updates to two herds published in previous reports. Including this report, the report series has provided the mapped migrations and seasonal ranges of 182 unique herds and has provided a map-based inventory of the documented ungulate migrations across the Western United States for biologists, managers, policy makers, and conservation practitioners. This report also discusses how the mapping efforts associated with the Corridor Mapping Team can be used to guide management and policy regarding renewable energy development and ungulate disease, specifically chronic wasting disease, in the Western United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245006","issn":"2328-031X; 2328-0328","isbn":"978-1-4113-4545-4","usgsCitation":"Kauffman, M., Lowrey, B., Beaupre, C., Bergen, S., Bergh, S., Blecha, K., Bundick, S., Burkett, H., Cain, J.W., III, Carl, P., Casady, D., Class, C., Courtemanch, A., Cowardin, M., Diamond, J., Dugger, K., Duvuvuei, O., Ennis, J.R., Flenner, M., Fort, J., Fralick, G., Freeman, I., Gagnon, J., Garcelon, D., Garrison, K., Gelzer, E., Greenspan, E., Hinojoza-Rood, V., Hnilicka, P., Holland, A., Hudgens, B., Kroger, B., Lawson, A., McKee, C., McKee, J.L., Merkle, J.R., Mong, T.W., Nelson, H., Oates, B., Poulin, M.-P., Reddell, C., Ritson, R., Sawyer, H., Schroeder, C., Shapiro, J., Sprague, S., Steiner, E., Steingisser, A., Stephens, S., Stringham, B., Swazo-Hinds, P.R., Tatman, N., Wallace, C.F., Whittaker, D., Wise, B., Wittmer, H.U., and Wood, E., 2024, Ungulate migrations of the Western United States, volume 4: U.S. Geological Survey Scientific Investigations Report 2024–5006, 86 p., 1 pl., https://doi.org/10.3133/sir20245006.","productDescription":"Report: xv, 86 p.; 1 Plate: 39.95 x 42.46 inches; Data Release","onlineOnly":"N","ipdsId":"IP-151987","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":482401,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205101","text":"Ungulate Migrations of the Western United States, Volume 1"},{"id":427904,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5006"},{"id":427782,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5006/sir20245006.XML"},{"id":427781,"rank":6,"type":{"id":34,"text":"Image 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\"}}]}","contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 300
Reston, VA 20192
Ecosystems that are coupled by reciprocal flows of energy and nutrient subsidies can be viewed as a single “meta-ecosystem.” Despite these connections, the reciprocal flow of subsidies is greatly asymmetrical and seasonally pulsed. Here, we synthesize existing literature on stream–riparian meta-ecosystems to quantify global patterns of the amount of subsidy consumption by organisms, known as “allochthony.” These resource flows are important since they can comprise a large portion of consumer diets, but can be disrupted by human modification of streams and riparian zones. Despite asymmetrical subsidy flows, we found stream and riparian consumer allochthony to be equivalent. Although both fish and stream invertebrates rely on seasonally pulsed allochthonous resources, we find allochthony varies seasonally only for fish, being nearly three times greater during the summer and fall than during the winter and spring. We also find that consumer allochthony varies with feeding traits for aquatic invertebrates, fish, and terrestrial arthropods, but not for terrestrial vertebrates. Finally, we find that allochthony varies by climate for aquatic invertebrates, being nearly twice as great in arid climates than in tropical climates, but not for fish. These findings are critical to understanding the consequences of global change, as ecosystem connections are being increasingly disrupted.
Incorporating societal considerations into decisions related to invasive species management is desirable, but can be challenging because it requires a solid understanding of the ecological functions and socio-cultural and economic benefits and values of the invaded environment before and after invasion. The ecosystem service (ES) concept was designed to facilitate such decision-making by establishing direct connections between ecosystem properties and human well-being, but its application in invasive species management has not been systematic. In this Discussion paper, we propose the adoption of the ES cascade model as a framework for understanding the environmental effects, costs and benefits associated with controlling an invasive shrub (Tamarix spp.) in riparian systems of the western United States. The cascade model has the advantage of explicitly dissecting social-ecological systems into five components: ecosystem structure and processes, ecological functions, ecosystem services, benefits and the economic and socio-cultural valuation of these services and benefits. The first two have received significant attention in the evaluation of Tamarix control effectiveness. The last three have long been implicitly acknowledged over decades of Tamarix management in the region, but have not been formally accounted for, which we believe would increase the effectiveness, accountability and transparency of management efforts.
Knowledge of the spatial and temporal distribution of surface water is important for water resource management, flood risk assessment, monitoring ecosystem health, constraining estimates of biogeochemical cycles and understanding our climate. While global-scale spatiotemporal change detection of surface water has significantly improved in recent years due to planetary-scale remote sensing and computing, it has remained challenging to distinguish the changing characteristics of rivers and lakes. Here we analyze the spatial extent of permanent and seasonal rivers and lakes globally over the past 38 years based on new data of river system extents and surface water trends. Results show that while the total permanent surface area of both rivers and lakes has remained relatively constant, the areas with intermittent seasonal coverage have increased by 12 % and 27 % for rivers and lakes, respectively. The increase is statistically significant in over 84 % of global water catchments based on Spearman's rank correlations (rho) above 0.05 and p values less than 0.05. The seasonal river extent is nearly 32 % larger than the previously observed annual mean river extent, suggesting large seasonal variations that impact not only ecosystem health but also estimations of terrestrial biogeochemical cycles of carbon. The outcomes of our analysis are shared as the Surface Area of Rivers and Lakes (SARL) database, serving as a valuable resource for monitoring and research of hydrological cycles, ecosystem accounting, and water management.