{"pageNumber":"66","pageRowStart":"1625","pageSize":"25","recordCount":40754,"records":[{"id":70259319,"text":"70259319 - 2024 - Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract","interactions":[],"lastModifiedDate":"2024-10-04T14:29:30.770237","indexId":"70259319","displayToPublicDate":"2024-07-30T09:23:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7169,"text":"Quaternary Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract","docAbstract":"<p><span>Unraveling how Global Mean Sea Level (GMSL) fluctuated during past warm periods can improve our understanding of linkages between sea-level fluctuations, orbital forcing, and ice-sheet dynamics. Current estimates of GMSL for Marine Isotope Stages (MIS) 5a and 5c — two warm intervals following the relatively well-documented MIS 5e — contain meters of uncertainty and fewer data due to several challenges. These challenges include concealment of datable in-situ coral facies by MIS 1 deposits and inaccessibility due to submergence by modern sea level. We present a comprehensive dataset based on U–Th dating and stratigraphic correlation of 23 cores totaling over 170&nbsp;m of recovered coral-reef deposits across the tectonically stable Florida Keys Reef Tract (FKRT). Following detailed facies descriptions, 34 in-situ, minimally altered aragonitic coral samples (≤2.7% calcite) below the Holocene-Pleistocene boundary were targeted for U–Th geochronology. Fourteen closed-system coral U–Th ages from MIS 5a include the commonly used sea-level indicator&nbsp;</span><i>Acropora palmata</i><span>, but also the massive coral taxa&nbsp;</span><i>Pseudodiploria strigosa, Siderastrea siderea, Orbicella</i><span>&nbsp;spp., and&nbsp;</span><i>Porites astreoides</i><span>. Dating yielded ages in the range of 88–81 ka (average 2σ uncertainty of less than 200 years). These ages suggest MIS 5a reef initiation at ∼88 ka BP, a peak near 83 ka with minimum elevations between −6.0&nbsp;±&nbsp;0.5 and −5.6&nbsp;±&nbsp;0.5&nbsp;m MSL (2σ uncertainty and subsidence-corrected), and reef termination and sea-level fall by ∼81 ka BP. Notably, the range of peak MIS 5a relative sea-level estimates of −6.5 to −5.1 m MSL are more than 2&nbsp;m shallower (higher) than previous estimates of −11 to −9&nbsp;m. Our higher resolution regional sea-level reconstruction across four subregions of the Florida Keys reef tract aligns with changes in July insolation at 65° N: a trend that most other records, such as deep-sea sediments, do not have the accuracy and precision to resolve. Three massive coral samples from MIS 5c, consisting of&nbsp;</span><i>Pseudodiploria clivosa</i><span>, and&nbsp;</span><i>Orbicella</i><span>&nbsp;spp., yielded ages in the range of 104 to 99 ka (average 2σ uncertainty less than 200 years); however, because only one sample met the closed-system criteria, our ability to estimate MIS 5c sea level is relatively limited. More empirical estimates of sea-level from the MIS 5a and MIS 5c intervals based on numerical dating of reliable local sea-level constraints are critical for GMSL calculations and relating changes in sea-level amplitude and timing to global ice volume modeling and glacio-isostatic effects, all of which can improve predictions of future sea-level changes in coastal regions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.qsa.2024.100222","usgsCitation":"Hsia, S., Toth, L., Mortlock, R.A., and Kerans, C., 2024, Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract: Quaternary Science Advances, v. 15, 100222, 17 p., https://doi.org/10.1016/j.qsa.2024.100222.","productDescription":"100222, 17 p.","ipdsId":"IP-166304","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.qsa.2024.100222","text":"Publisher Index Page"},{"id":462598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.23876328908999,\n              26.097759348420453\n            ],\n            [\n              -83.46117316122947,\n              26.097759348420453\n            ],\n            [\n              -83.46117316122947,\n              24.102407845404713\n            ],\n            [\n              -79.23876328908999,\n              24.102407845404713\n            ],\n            [\n              -79.23876328908999,\n              26.097759348420453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hsia, Scarlette 0000-0002-2230-9004","orcid":"https://orcid.org/0000-0002-2230-9004","contributorId":339740,"corporation":false,"usgs":false,"family":"Hsia","given":"Scarlette","email":"","affiliations":[{"id":39890,"text":"University of Texas at Austin, Jackson School of Geosciences","active":true,"usgs":false}],"preferred":false,"id":914916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":914917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortlock, Richard A.","contributorId":299718,"corporation":false,"usgs":false,"family":"Mortlock","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":914918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerans, Charles","contributorId":75838,"corporation":false,"usgs":false,"family":"Kerans","given":"Charles","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":914919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257097,"text":"70257097 - 2024 - Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","interactions":[],"lastModifiedDate":"2024-08-13T14:43:37.410358","indexId":"70257097","displayToPublicDate":"2024-07-30T08:21:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","docAbstract":"<p><span>Public lands across the United States are managed for multiple uses, resources, and values ranging from energy development to rare plant conservation. Intensified energy development and other land use changes across the Southwestern United States have increased the need for proactive management to mitigate impacts to rare plants. Habitat suitability models can inform decision-making and lead to more effective conservation of rare plants and their habitats, but high-quality models that are suited for use at local scales are lacking for many species. Our team of scientists and managers developed ensembles of habitat suitability models for five rare plant species in New Mexico using a coproduced, iterative framework complemented by comprehensive ground truthing and tailoring of products for use in public land decisions. Our process resulted in substantial differences from initial models through changes to environmental predictors, species occurrence and background data, and development of new species-specific predictors. Involving species experts and end users in model development can strengthen the process and resulting model and build understanding and trust in final products. Both factors can promote use of models to inform public land permitting and planning decisions that may affect rare plants, including by guiding development away from highly suitable habitats.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13179","usgsCitation":"Jarnevich, C.S., Carter, S.K., Davidson, Z.M., MacPhee, N.D., Alexander, P.J., Hayes, B., Belmaric, P.N., and Harms, B., 2024, Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands: Conservation Science and Practice, v. 6, no. 8, e13179, 15 p., https://doi.org/10.1111/csp2.13179.","productDescription":"e13179, 15 p.","ipdsId":"IP-158708","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439242,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13179","text":"Publisher Index Page"},{"id":432438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.69579033294093,\n              38.37268084260387\n            ],\n            [\n              -108.69579033294093,\n              35.269919346315746\n            ],\n            [\n              -103.45845941486846,\n              35.269919346315746\n            ],\n            [\n              -103.45845941486846,\n              38.37268084260387\n            ],\n            [\n              -108.69579033294093,\n              38.37268084260387\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Zoe M. 0000-0003-2043-8598","orcid":"https://orcid.org/0000-0003-2043-8598","contributorId":336894,"corporation":false,"usgs":false,"family":"Davidson","given":"Zoe","email":"","middleInitial":"M.","affiliations":[{"id":80903,"text":"Bureau of Land Management Headquarters","active":true,"usgs":false}],"preferred":false,"id":909382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacPhee, Nicole D.","contributorId":337152,"corporation":false,"usgs":false,"family":"MacPhee","given":"Nicole","email":"","middleInitial":"D.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Patrick J.","contributorId":337153,"corporation":false,"usgs":false,"family":"Alexander","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Brandon","contributorId":337154,"corporation":false,"usgs":false,"family":"Hayes","given":"Brandon","email":"","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belmaric, Pairsa N.","contributorId":337156,"corporation":false,"usgs":false,"family":"Belmaric","given":"Pairsa","email":"","middleInitial":"N.","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harms, Benjamin R","contributorId":267283,"corporation":false,"usgs":false,"family":"Harms","given":"Benjamin R","affiliations":[],"preferred":false,"id":909387,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70258336,"text":"70258336 - 2024 - Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","interactions":[],"lastModifiedDate":"2024-11-04T19:39:44.275519","indexId":"70258336","displayToPublicDate":"2024-07-29T09:30:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","docAbstract":"<p><span>The United Nations' Convention on Biological Diversity set forth the 30 × 30 target, an agenda for countries to protect at least 30% of their terrestrial, inland water, and coastal and marine areas by 2030. With &lt;6 years to reach that goal, riverine conservation professionals are faced with the difficult decision of prioritizing which rivers or river segments should be conserved (protected and/or restored). While incorporating resilience into conservation planning is essential for enhancing, restoring, and maintaining the vital riverine ecosystem services (ES) most threatened by climate change and other environmental and human stresses, this paradigm is at odds with traditional conservation approaches that are either opportunistic or reactionary, where only unique and highly visible ecosystems have been prioritized. Barriers to implementing resilience-based riverine conservation planning include: (1) difficulties in conceptualizing and quantifying resilience; (2) insufficient consideration of the social components of riverine systems; (3) the inapplicability of terrestrial-only conservation models to aquatic systems; and (4) the traditional ad hoc and opportunistic approach to conservation. To overcome these barriers, we propose a resilience-based riverine conservation framework that includes: (1) assessing riverine resilience using indicator frameworks; (2) considering rivers as dynamically coupled social–ecological systems; (3) explicitly incorporating terrestrial–aquatic network connectivity into conservation decision-making; and (4) strategic systems planning using a novel resilience–conservation matrix as a tool. This framework has the potential to transform conservation practices around the globe to more effectively protect river systems and enhance their resilience to climate change and human development.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1753","usgsCitation":"Perry, D.M., Praskievicz, S.J., McManamay, R., Saxena, A., Grimm, K.C., Zegre, N., Bair, L., Ruddell, B., and Rushforth, R., 2024, Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets: WIREs Water, v. 11, no. 6, e1753, 22 p., https://doi.org/10.1002/wat2.1753.","productDescription":"e1753, 22 p.","ipdsId":"IP-155185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439243,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1753","text":"Publisher Index Page"},{"id":433693,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Denielle M.","contributorId":215885,"corporation":false,"usgs":false,"family":"Perry","given":"Denielle","email":"","middleInitial":"M.","affiliations":[{"id":39324,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":912928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":912929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":912930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxena, Alark","contributorId":344137,"corporation":false,"usgs":false,"family":"Saxena","given":"Alark","email":"","affiliations":[{"id":82298,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":912931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, K. C.","contributorId":173997,"corporation":false,"usgs":false,"family":"Grimm","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":912932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zegre, Nicholas","contributorId":344138,"corporation":false,"usgs":false,"family":"Zegre","given":"Nicholas","email":"","affiliations":[{"id":82301,"text":"Forestry & Natural Resources, West Virginia University, Morgantown, WV 25606","active":true,"usgs":false}],"preferred":false,"id":912933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":912934,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruddell, Benjamin L.","contributorId":247513,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":912935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rushforth, Richard","contributorId":239630,"corporation":false,"usgs":false,"family":"Rushforth","given":"Richard","email":"","affiliations":[],"preferred":false,"id":912936,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70258229,"text":"70258229 - 2024 - 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","interactions":[],"lastModifiedDate":"2024-09-09T14:11:34.989533","indexId":"70258229","displayToPublicDate":"2024-07-29T07:09:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Accurate reservoir evaluation requires reliable three-dimensional (3-D) geological models. This study conducted 3-D geological modeling for numerical flow simulation of the B1 sand gas hydrate reservoir at the Kuparuk State 7-11-12 pad, Prudhoe Bay Unit, Alaska North Slope. The model integrates well logs, core, and seismic data to address spatial heterogeneity in geological structures and reservoir properties. Two modeling types were performed: structural framework modeling and petrophysical property modeling. For structural framework modeling, seismic data and well log markers were used to reproduce subsurface structures characterized by a normal fault system. A volume-based modeling algorithm and stair-step gridding were applied. The resulting 3-D model comprised 2,640,000 grid cells across 264 layers, including seven fault grids. For petrophysical property modeling, total porosity was initially modeled using sequential Gaussian simulation with collocated cokriging. To reproduce the upward coarsening of the B1 sand, upscaled log-derived total porosity and a 3-D trend depicting total porosity variation were used as primary and secondary data, respectively. Gas hydrate saturation distribution was modeled similarly, with secondary data from estimated porosity distribution and seismic-derived acoustic impedance map enhancing accuracy. Results indicate higher gas hydrate saturation in the upper part of the B1 sand and areas with higher acoustic impedance. Intrinsic permeability was modeled from the total porosity and clay-bound water volume, and effective permeability was derived from the gas hydrate saturation and intrinsic permeability distributions based on the “Tokyo model”. Effective permeability distributions were influenced by the total porosity, gas hydrate saturation, and intrinsic permeability. Within the same layer, higher gas hydrate saturation leads to decreased effective permeability. In total, 100 sets of multiple scenarios were prepared, providing input data for dynamic flow simulations to evaluate the effects of lateral heterogeneity in reservoir properties and the hydraulic characteristics of faults on production behavior for preassessment before the long-term production test.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.4c01665","usgsCitation":"Tamaki, M., Taninaka, M., Ohtsuki, S., Than Tin, A., Shimoda, N., Collett, T., and Boswell, R., 2024, 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope: Energy and Fuels, v. 28, no. 16, p. 15248-15269, https://doi.org/10.1021/acs.energyfuels.4c01665.","productDescription":"22 p.","startPage":"15248","endPage":"15269","ipdsId":"IP-165534","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":489143,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2447061","text":"External Repository"},{"id":433603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.5,\n              70.5\n            ],\n            [\n              -149.5,\n              70.2\n            ],\n            [\n              -149,\n              70.2\n            ],\n            [\n              -149,\n              70.5\n            ],\n            [\n              -149.5,\n              70.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamaki, Machiko","contributorId":344039,"corporation":false,"usgs":false,"family":"Tamaki","given":"Machiko","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taninaka, Misuzu","contributorId":344040,"corporation":false,"usgs":false,"family":"Taninaka","given":"Misuzu","email":"","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ohtsuki, Satoshi","contributorId":344041,"corporation":false,"usgs":false,"family":"Ohtsuki","given":"Satoshi","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Than Tin, Aung","contributorId":344042,"corporation":false,"usgs":false,"family":"Than Tin","given":"Aung","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shimoda, Naoyuki","contributorId":344043,"corporation":false,"usgs":false,"family":"Shimoda","given":"Naoyuki","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":912671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boswell, Ray","contributorId":344044,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":64933,"text":"National Energy Technology Laboratory","active":true,"usgs":false}],"preferred":false,"id":912672,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257290,"text":"70257290 - 2024 - Incorporating projected climate conditions to map future riparian refugia","interactions":[],"lastModifiedDate":"2024-08-15T12:08:19.866376","indexId":"70257290","displayToPublicDate":"2024-07-29T07:06:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating projected climate conditions to map future riparian refugia","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Identifying areas expected to remain buffered from climate change and maintain biodiversity and ecological function (i.e., climate refugia) is important for climate adaptation planning. As structurally diverse transitional zones between terrestrial and aquatic environments, riparian areas are often biological hotspots and provide critical corridors for species movement, particularly in arid and semi-arid regions. In our study region in the western and central USA, identifying riparian areas that could serve as climate refugia is a priority for wildlife managers. We mapped areas with connected riparian habitats that, based on landscape diversity and projected changes in summer temperatures and landscape runoff, are expected to serve as climate refugia. To incorporate uncertainty and balance the need for near- and long-term planning, we mapped potential refugia for 2 future time periods (2040–2069, 2070–2099) based on 2 climate models that represented divergent but plausible climate outcomes. The approach we developed is not constrained by physiology or behavior of target species and can be used to identify areas expected to fare comparatively well under a wide range of future climate scenarios. Our approach can also be used to identify areas where restoration could increase riparian connectedness and climate resilience.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.13183","usgsCitation":"Szcodronski, K.E., Wade, A., Burton, S.E., and Hossack, B., 2024, Incorporating projected climate conditions to map future riparian refugia: Conservation Science and Practice, v. 6, no. 8, e13183, 14 p., https://doi.org/10.1111/csp2.13183.","productDescription":"e13183, 14 p.","ipdsId":"IP-152784","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13183","text":"Publisher Index 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 \"}}]}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Szcodronski, Kimberly E 0000-0002-2387-5649","orcid":"https://orcid.org/0000-0002-2387-5649","contributorId":224232,"corporation":false,"usgs":true,"family":"Szcodronski","given":"Kimberly","email":"","middleInitial":"E","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wade, Alisa A.","contributorId":145917,"corporation":false,"usgs":false,"family":"Wade","given":"Alisa A.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":909870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Sarah Elizabeth 0000-0001-7585-6733","orcid":"https://orcid.org/0000-0001-7585-6733","contributorId":295474,"corporation":false,"usgs":true,"family":"Burton","given":"Sarah","email":"","middleInitial":"Elizabeth","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":909871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259164,"text":"70259164 - 2024 - A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America","interactions":[],"lastModifiedDate":"2024-10-03T16:01:15.602206","indexId":"70259164","displayToPublicDate":"2024-07-29T06:41:57","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":"A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara012\" class=\"u-margin-s-bottom\">The eruption that produced the modern Atitlán caldera in Guatemala has a Volcanic Explosivity Index (VEI) greater than 8, making it the largest of the Quaternary in the Central American Volcanic Arc (CAVA). It generated ∼1220 km<sup>3</sup><span>&nbsp;</span>(730 km<sup>3</sup><span>&nbsp;</span>dense rock equivalent) of dispersed rhyolitic ash and unwelded pyroclastic flow deposits known as the Los Chocoyos ash. Despite its scale, the age of the Los Chocoyos ash has been difficult to constrain. Its inferred position in marine sediment off the coast of Ecuador suggests an oxygen isotope-based age of 84 ± 5 thousand years (ka) that has been used for decades. A recent effort to determine the eruption age of the Los Chocoyos ash used U-Th/He and U/Th disequilibrium methods that both yield overdispersed sets of dates from zircon. Using U/Th disequilibrium corrected U-Th/He dates, which include some that are up to 19 ± 8 kyr younger than the youngest U/Th disequilibrium dates, an eruption age of 75 ± 4 ka has been proposed, which overlaps the eruption age of the Youngest Toba Tuff,<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dated at 73.9 ± 0.6 ka. Critically, the above findings have led to the hypothesis that this pair of sulfate-rich supereruptions may be responsible for a global cooling event ∼74 ka. To further test this supereruption doublet hypothesis we present new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar and U-Th disequilibrium data from plagioclase and zircon rim surfaces, respectively, to quantify the timing of the Los Chocoyos eruption. We apply Bayesian estimation to the overdispersed sets of<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar plagioclase and U-Th disequilibrium zircon dates. This approach accounts for retention of radiogenic<span>&nbsp;</span><sup>40</sup>Ar in plagioclase in a subset of crystals and for crystallization of zircon that may precede the time of eruption and yields remarkably consistent ages from two independent chronometers. The Bayesian estimate of 98 ± 6 ka calculated from 308 individual dates identifies the population nearest to the time of the Los Chocoyos eruption. Interpreted as an eruption age, this finding precludes a link between the Los Chocoyos eruption and global cooling ∼74 ka and rules out the supereruption doublet trigger.</div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118826","usgsCitation":"Baudry, A., Singer, B.S., Jicha, B., Jilly-Rehak, C.E., Vazquez, J.A., and Keller, C.B., 2024, A Bayesian age from dispersed plagioclase and zircon dates in the Los Chocoyos ash, Central America: Earth and Planetary Science Letters, v. 643, 118826, https://doi.org/10.1016/j.epsl.2024.118826.","productDescription":"118826","ipdsId":"IP-165532","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462406,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"643","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baudry, Alec","contributorId":344647,"corporation":false,"usgs":false,"family":"Baudry","given":"Alec","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":914385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singer, Bradley S.","contributorId":344649,"corporation":false,"usgs":false,"family":"Singer","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":914386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jicha, Brian","contributorId":213920,"corporation":false,"usgs":false,"family":"Jicha","given":"Brian","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":914387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jilly-Rehak, Christine E.","contributorId":344651,"corporation":false,"usgs":false,"family":"Jilly-Rehak","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":914388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":914389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keller, C. Brenhin 0000-0001-7400-9428","orcid":"https://orcid.org/0000-0001-7400-9428","contributorId":330229,"corporation":false,"usgs":false,"family":"Keller","given":"C.","email":"","middleInitial":"Brenhin","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":914390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264868,"text":"70264868 - 2024 - Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models","interactions":[],"lastModifiedDate":"2025-03-27T13:23:09.681442","indexId":"70264868","displayToPublicDate":"2024-07-27T10:51:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models","docAbstract":"<div id=\"d1e819\" class=\"u-margin-s-bottom\">When a damaging earthquake occurs, immediate information about casualties (e.g., fatalities and injuries) is critical for time-sensitive decision-making by emergency response and aid agencies in the first hours and days. Systems such as the Prompt Assessment of Global Earthquakes for Response (PAGER) by the U.S. Geological Survey (USGS) were developed to provide a forecast of such impacts within about 30 min of any significant earthquake globally. However, existing disaster-induced human loss estimation systems often rely on early casualty reports manually retrieved from global traditional media, which are labor-intensive, time-consuming, and have significant time latencies. Recent approaches use keyword matching and topic modeling to identify human casualty-relevant information from social media but tend to be error-prone when dealing with complex semantics in multi-lingual text data and parsing dynamically changing and conflicting human death and injury numbers shared by various unvetted sources in social media platforms.</div><div id=\"d1e821\" class=\"u-margin-s-bottom\">In this work, we introduce an end-to-end framework to significantly improve the timeliness and accuracy of global earthquake-induced human loss forecasting using multi-lingual, crowdsourced social media. Our framework integrates (i) a hierarchical casualty extraction model built upon large language models, prompt design, and few-shot learning to retrieve quantitative human loss claims from social media, (ii) a physical constraint-aware, dynamic-truth discovery model that discovers the truthful human loss from massive noisy and potentially conflicting human loss claims, and (iii) a Bayesian updating loss projection model that dynamically updates the final loss estimation using discovered truths. We test the framework in real-time on a series of global earthquake events in 2021 and 2022 and show that our framework effectively automates the retrieval of casualty information faster but with comparable accuracy to those now retrieved manually by the USGS. The code associated with this work is made available at:<span>&nbsp;</span><a class=\"anchor anchor-primary\" rel=\"noopener\" href=\"https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval\" target=\"_blank\" data-mce-href=\"https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval\"><span class=\"anchor-text-container\"><span class=\"anchor-text\">https://github.com/SusuXu-s-Lab/Hierarchical-Earthquake-Casualty-Information-Retrieval</span></span></a></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2024.104680","usgsCitation":"Wang, C., Engler, D.T., Li, X., Hou, J., Wald, D., Jaiswal, K.S., and Xu, S., 2024, Near-real-time earthquake-induced fatality estimation using crowdsourced data and few-shot large-language models: International Journal of Disaster Risk Reduction, v. 111, 104680, 18 p., https://doi.org/10.1016/j.ijdrr.2024.104680.","productDescription":"104680, 18 p.","ipdsId":"IP-153312","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488692,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2024.104680","text":"Publisher Index Page"},{"id":483885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","noUsgsAuthors":false,"publicationDate":"2024-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Chenguang","contributorId":352749,"corporation":false,"usgs":false,"family":"Wang","given":"Chenguang","affiliations":[],"preferred":false,"id":932109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engler, Davis T. 0000-0002-7133-3545","orcid":"https://orcid.org/0000-0002-7133-3545","contributorId":265962,"corporation":false,"usgs":true,"family":"Engler","given":"Davis","email":"","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Xuechun","contributorId":317874,"corporation":false,"usgs":false,"family":"Li","given":"Xuechun","email":"","affiliations":[{"id":69176,"text":"Stonybrook University","active":true,"usgs":false}],"preferred":false,"id":932103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hou, James","contributorId":221043,"corporation":false,"usgs":false,"family":"Hou","given":"James","email":"","affiliations":[],"preferred":false,"id":932104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, David J. 0000-0002-8673-1706","orcid":"https://orcid.org/0000-0002-8673-1706","contributorId":352720,"corporation":false,"usgs":true,"family":"Wald","given":"David J.","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Susu","contributorId":300127,"corporation":false,"usgs":false,"family":"Xu","given":"Susu","email":"","affiliations":[{"id":65025,"text":"Stony Brook University, NY, USA","active":true,"usgs":false}],"preferred":false,"id":932108,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257856,"text":"70257856 - 2024 - Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds","interactions":[],"lastModifiedDate":"2024-08-29T12:11:12.859224","indexId":"70257856","displayToPublicDate":"2024-07-27T07:05:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Studies have shown that digital surface models and point clouds generated by the United States Department of Agriculture’s National Agriculture Imagery Program (NAIP) can measure basic forest parameters such as canopy height. However, all measured forest parameters from these studies are evaluated using the differences between NAIP digital surface models (DSMs) and available lidar digital terrain models (DTMs). A survey of NAIP point cloud classification and related ground point-generated DTMs has not yet been undertaken. This study applies a Support Vector Machine (SVM) to classifying ground and nonground points from NAIP point clouds for test sites in Wyoming and Arizona, USA. Light detection and ranging (lidar) data from the U.S. Geological Survey 3D Elevation Program (3DEP) are used to validate the classified NAIP ground points and their corresponding DTMs. Comparing height differences between filtered NAIP ground points and 3DEP ground points, the SVM classifier’s results show that the vertical root mean square error value is 1.87 m and 1.69 m for the Wyoming and Arizona sites, respectively. If NAIP point clouds were continuously measured, the resulting availability of medium-resolution DTMs would benefit the application of multitemporal forest health monitoring and DTM generation.</p></div>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/2150704X.2024.2384095","usgsCitation":"Liu, J., Arundel, S., and Shavers, E.J., 2024, Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds: Remote Sensing Letters, v. 15, no. 8, https://doi.org/10.1080/2150704X.2024.2384095.","ipdsId":"IP-157783","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":433295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Jung-Kuan 0000-0001-8461-8200","orcid":"https://orcid.org/0000-0001-8461-8200","contributorId":333940,"corporation":false,"usgs":true,"family":"Liu","given":"Jung-Kuan","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":911842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":911843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":911844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257805,"text":"70257805 - 2024 - High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","interactions":[],"lastModifiedDate":"2024-08-28T11:55:23.849904","indexId":"70257805","displayToPublicDate":"2024-07-27T06:52:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Discharge of deeply sourced groundwater to streams is difficult to locate and quantify, particularly where both discrete and diffuse discharge points exist, but diffuse discharge is one of the primary controls on solute budgets in mountainous watersheds. The noble gas helium is a unique identifier of deep groundwater discharge because groundwater with long residence times is commonly enriched in helium. In this study, a portable mass spectrometer was used to measure longitudinal variation in dissolved helium concentrations in two mountainous rivers at high spatial resolution not feasible with traditional sampling techniques. Helium profiles were then simulated using a mass-balance model to quantify longitudinal variation in groundwater discharge to the receiving rivers. Results indicate helium concentrations were enriched by multiple orders of magnitude above atmospheric equilibrium in both rivers and that this persisted for up to 18&nbsp;km below observed pulse inputs in the Colorado River. Helium mass-balance models match observed longitudinal patterns with the exception of sharp initial increases in helium observed in the rivers. Increased longitudinal groundwater discharge rates correspond to mapped geologic structures in both watersheds that likely transport deep geothermal water. Models show variable sensitivity to spatial assignment of input variables representing the groundwater source, illustrating the importance of collecting data from discrete groundwater discharges where possible. The methodology shows promise for field experiments designed to assess air–water exchange rates and to quantify total groundwater discharge from a combination of discrete and diffuse sources.</p></div></div><div id=\"ab005\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131717","usgsCitation":"Newman, C.P., Humphrey, E., Brennwald, M., Gardner, W.P., Palko, K.M., Gooseff, M., and Solomon, K., 2024, High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements: Journal of Hydrology, v. 640, 131717, 12 p., https://doi.org/10.1016/j.jhydrol.2024.131717.","productDescription":"131717, 12 p.","ipdsId":"IP-160271","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":439247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131717","text":"Publisher Index Page"},{"id":433241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Colorado River, Virgin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.96736437517845,\n              38.013605174379165\n            ],\n            [\n              -113.96736437517845,\n              37.099133479396826\n            ],\n            [\n              -111.92390734392869,\n              37.099133479396826\n            ],\n            [\n              -111.92390734392869,\n              38.013605174379165\n            ],\n            [\n              -113.96736437517845,\n              38.013605174379165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.67195421892819,\n              40.639091534844084\n            ],\n            [\n              -108.67195421892819,\n              39.01931084468799\n            ],\n            [\n              -105.11238390642816,\n              39.01931084468799\n            ],\n            [\n              -105.11238390642816,\n              40.639091534844084\n            ],\n            [\n              -108.67195421892819,\n              40.639091534844084\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"640","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Humphrey, Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303273,"corporation":false,"usgs":true,"family":"Humphrey","given":"Eric","email":"","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennwald, Matthias","contributorId":343690,"corporation":false,"usgs":false,"family":"Brennwald","given":"Matthias","email":"","affiliations":[{"id":82160,"text":"Eawag","active":true,"usgs":false}],"preferred":false,"id":911728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W. Payton 0000-0003-0664-001X","orcid":"https://orcid.org/0000-0003-0664-001X","contributorId":206198,"corporation":false,"usgs":false,"family":"Gardner","given":"W.","email":"","middleInitial":"Payton","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":911729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palko, Kelli M. 0000-0001-8556-710X","orcid":"https://orcid.org/0000-0001-8556-710X","contributorId":343691,"corporation":false,"usgs":true,"family":"Palko","given":"Kelli","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":911731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solomon, Kip 0000-0001-6370-7124","orcid":"https://orcid.org/0000-0001-6370-7124","contributorId":343692,"corporation":false,"usgs":false,"family":"Solomon","given":"Kip","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":911732,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256573,"text":"70256573 - 2024 - Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","interactions":[],"lastModifiedDate":"2024-08-21T23:51:15.861846","indexId":"70256573","displayToPublicDate":"2024-07-26T18:48:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Silver Carp (<i>Hypophthalmichthys molitrix</i>) populations have established and expanded throughout the lower Mississippi River basin (LMRB). Information pertaining to Silver Carp population mixing among rivers within the LMRB is lacking. Documented relations between Silver Carp otolith and river water barium (Ba) and strontium (Sr) microchemical signatures may enable estimation of origins of Silver Carp in the LMRB. Replicate water samples and otoliths from 308 Silver Carp were collected from the Cache, Arkansas, White, Yazoo, St. Francis, L’Anguille, and Mississippi rivers, and Merrisach Lake (situated along a canal connecting the lower reaches of the Arkansas and White rivers) within the LMRB. Water and carp otolith microchemical signatures exhibited consistent differences among water bodies. A classification and regression tree model exhibited 80% accuracy when assigning carp collected from the White, Arkansas, and Mississippi rivers based on fish-water microchemical signatures. Model accuracy decreased as smaller rivers were incorporated into models. Predicted natal origin based on otolith microchemical signatures suggested the White River (43%) and the lower Mississippi River (39%) were the likely origins for ~ 82% of the Silver Carp sampled. Despite the prevalence of adult Silver Carp within the Arkansas River system, fewer (18%) appeared to have originated there compared to the White and Mississippi rivers. Long-term water sampling and additional isotopic measurements may refine analyses to better determine the relative contributions of Silver Carp from the smaller river systems. Population mixing of Silver Carp among tributary rivers appears to be common within the LMRB, and removal efforts may benefit from evaluating the magnitude of fish movement and connectivity among rivers.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03358-7","usgsCitation":"Barshinger, C., Eggleton, M., and Spurgeon, J.J., 2024, Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin: Biological Invasions, v. 26, p. 3091-3106, https://doi.org/10.1007/s10530-024-03358-7.","productDescription":"16 p.","startPage":"3091","endPage":"3106","ipdsId":"IP-154189","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03358-7","text":"Publisher Index Page"},{"id":433043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              28.641330031026257\n            ],\n            [\n              -87.48505653352923,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              37.88257249549886\n            ],\n            [\n              -92.4948221585292,\n              28.641330031026257\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Barshinger, CE","contributorId":341204,"corporation":false,"usgs":false,"family":"Barshinger","given":"CE","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleton, MA","contributorId":341205,"corporation":false,"usgs":false,"family":"Eggleton","given":"MA","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256201,"text":"70256201 - 2024 - Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","interactions":[],"lastModifiedDate":"2024-12-10T14:58:03.581464","indexId":"70256201","displayToPublicDate":"2024-07-26T09:48:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","docAbstract":"<p><span>Assisted migration is a means of introducing a species into a previously unoccupied area. Although this idea is relatively new for many species, there are many extant examples involving fish that can be instructive. We studied a case of assisted migration where upstream access of migrating adult coho salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;over a naturally impassible barrier was established through construction of fish ladders. Although these passage structures have successfully allowed coho salmon to colonize upstream locations, managers had concerns regarding how efficiently these structures passed fish, as well as questions regarding access to specific upstream habitats, and passage barriers further upstream. To address these concerns, we developed a stage-based population model to explore: (1) influences of passage over structures, (2) rearing habitats upstream of the structures, and (3) consequences of additional barriers to passage in the system. Model simulations suggest high fish passage at the ladders was associated with the highest smolt and adult abundance of coho salmon. The importance of passage was strongly influenced by juveniles rearing in a lake, where increased lake rearing at each passage scenario increased abundance of smolts and adults. Opening habitat further upstream was estimated to increase adult and smolt abundance up to 12%. Results of model simulations also helped to identify uncertainties that could be evaluated further (e.g., juvenile rearing in the lake). In general, our findings point to the importance of considering a full range of processes that can drive expected outcomes for assisted migration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4355","usgsCitation":"Benjamin, J.R., Dunham, J., Scheidt, N., Rothenbuecher, C., and Sipher, C., 2024, Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics: River Research and Applications, v. 40, no. 10, p. 2009-2021, https://doi.org/10.1002/rra.4355.","productDescription":"13 p.","startPage":"2009","endPage":"2021","ipdsId":"IP-158160","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498297,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4355","text":"Publisher Index Page"},{"id":431563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.29673317980877,\n              44.305114347462364\n            ],\n            [\n              -123.71555076750579,\n              44.305114347462364\n            ],\n            [\n              -123.71555076750579,\n              43.946813166036065\n            ],\n            [\n              -123.29673317980877,\n              43.946813166036065\n            ],\n            [\n              -123.29673317980877,\n              44.305114347462364\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":907105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheidt, Nicholas","contributorId":298910,"corporation":false,"usgs":false,"family":"Scheidt","given":"Nicholas","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":907107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rothenbuecher, Carla","contributorId":340405,"corporation":false,"usgs":false,"family":"Rothenbuecher","given":"Carla","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sipher, Cory","contributorId":340406,"corporation":false,"usgs":false,"family":"Sipher","given":"Cory","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907109,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256563,"text":"70256563 - 2024 - Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","interactions":[],"lastModifiedDate":"2024-10-24T11:05:47.527143","indexId":"70256563","displayToPublicDate":"2024-07-26T09:23:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Little brown bats (<i>Myotis lucifugus</i>) are resistant to SARS-CoV-2 infection","title":"Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection","docAbstract":"<p><span>It has been proposed that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that spread through human populations as a pandemic originated in Asian bats. There is concern that infected humans could transmit the virus to native North American bats; therefore, the susceptibility of several North American bat species to the pandemic virus has been experimentally assessed. Big brown bats (</span><i>Eptesicus fuscus</i><span>) were shown to be resistant to infection by SARS-CoV-2, whereas Mexican free-tailed bats (</span><i>Tadarida brasiliensis</i><span>) became infected and orally excreted moderate amounts of virus for up to 18 d postinoculation. Little brown bats (</span><i>Myotis lucifugus</i><span>) frequently contact humans, and their populations are threatened over much of their range due to white-nose syndrome, a fungal disease that is continuing to spread across North America. We experimentally challenged little brown bats with SARS-CoV-2 to determine their susceptibility and host potential and whether the virus presents an additional risk to this species. We found that this species was resistant to infection by SARS-CoV-2. These findings provide reassurance to wildlife rehabilitators, biologists, conservation scientists, and the public at large who are concerned with possible transmission of this virus to threatened bat populations.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-23-00114","usgsCitation":"Hall, J.S., Nashold, S., Hofmeister, E.K., Leon, A.E., Falendysz, E., Ip, H., Malave, C.M., Rocke, T.E., Carossino, M., Balasuriya, U.B., and Knowles, S., 2024, Little brown bats (Myotis lucifugus) are resistant to SARS-CoV-2 infection: Journal of Wildlife Diseases, v. 60, no. 4, p. 924-930, https://doi.org/10.7589/JWD-D-23-00114.","productDescription":"7 p.","startPage":"924","endPage":"930","ipdsId":"IP-154474","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":432027,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nashold, Sean 0000-0002-8869-6633","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":341157,"corporation":false,"usgs":false,"family":"Nashold","given":"Sean","affiliations":[{"id":56047,"text":"USGS National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":908013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmeister, Erik K. 0000-0002-2305-519X ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-2305-519X","contributorId":269350,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Malave, Carly M. 0000-0001-6673-737X","orcid":"https://orcid.org/0000-0001-6673-737X","contributorId":341158,"corporation":false,"usgs":false,"family":"Malave","given":"Carly","email":"","middleInitial":"M.","affiliations":[{"id":56047,"text":"USGS National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":908018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908019,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carossino, Mariano","contributorId":245857,"corporation":false,"usgs":false,"family":"Carossino","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":908020,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Balasuriya, Udeni B.R.","contributorId":245862,"corporation":false,"usgs":false,"family":"Balasuriya","given":"Udeni","email":"","middleInitial":"B.R.","affiliations":[],"preferred":false,"id":908021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":908022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70257712,"text":"70257712 - 2024 - Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","interactions":[],"lastModifiedDate":"2024-08-23T14:11:57.191191","indexId":"70257712","displayToPublicDate":"2024-07-26T09:08:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modeling the effects of spatial distribution on dynamics of an invading <i>Melaleuca quinquenervia</i> (Cav.) Blake population","title":"Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population","docAbstract":"<p><span>To predict the potential success of an invading non-native species, it is important to understand its dynamics and interactions with native species in the early stages of its invasion. In spatially implicit models, mathematical stability criteria are commonly used to predict whether an invading population grows in number in an early time period. But spatial context is important for real invasions as an invading population may first occur as a small number of individuals scatter spatially. The invasion dynamics are therefore not describable in terms of population level state variables. A better approach is spatially explicit individual-based modeling (IBM). We use an established spatially explicit IBM to predict the invasion of the non-native tree,&nbsp;</span><i><span class=\"html-italic\">Melaleuca quinquenervia</span></i><span>&nbsp;(Cav.) Blake, to a native community in southern Florida. We show that the initial spatial distribution, both the spatial density of individuals and the area they cover, affects its success in growing numerically and spreading. The formation of a cluster of a sufficient number and density of individuals may be needed for the invader to locally outcompete the native species and become established. Different initial densities, identical in number and density but differing in random positions of individuals, can produce very different trajectories of the invading population through time, even affecting invasion success and failure.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f15081308","usgsCitation":"Lu, Y., Xia, J., Holt, R., and DeAngelis, D., 2024, Modeling the effects of spatial distribution on dynamics of an invading Melaleuca quinquenervia (Cav.) Blake population: Forests, v. 15, no. 8, 1308, 18 p., https://doi.org/10.3390/f15081308.","productDescription":"1308, 18 p.","ipdsId":"IP-167809","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f15081308","text":"Publisher Index Page"},{"id":433094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Yuanming","contributorId":298492,"corporation":false,"usgs":false,"family":"Lu","given":"Yuanming","email":"","affiliations":[{"id":35560,"text":"Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":911490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, Junfei","contributorId":298493,"corporation":false,"usgs":false,"family":"Xia","given":"Junfei","email":"","affiliations":[{"id":64593,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":911491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Robert D.","contributorId":343600,"corporation":false,"usgs":false,"family":"Holt","given":"Robert D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":217986,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911493,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256393,"text":"70256393 - 2024 - Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2024-07-30T11:41:41.12318","indexId":"70256393","displayToPublicDate":"2024-07-26T06:39:18","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":"Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><h1 id=\"screen-reader-main-title\" class=\"Head u-font-serif u-h2 u-margin-s-ver\"><span class=\"title-text\">Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA</span></h1><div id=\"banner\" class=\"Banner\"><br></div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118887","usgsCitation":"Malkowski, M., Sickmann, Z., Fregoso, T.A., McKee, L., Stockli, D., and Jaffe, B., 2024, Reversal in estuarine sand supply driven by Holocene sea level rise: A model for sand transport in large structural estuaries, San Francisco Bay, California, USA: Earth and Planetary Science Letters, v. 643, 118887, https://doi.org/10.1016/j.epsl.2024.118887.","productDescription":"118887","ipdsId":"IP-163103","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":431605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.45824180727426,\n              38.671587239937764\n            ],\n            [\n              -123.45824180727426,\n              36.970755930668005\n            ],\n            [\n              -121.30492149477439,\n              36.970755930668005\n            ],\n            [\n              -121.30492149477439,\n              38.671587239937764\n            ],\n            [\n              -123.45824180727426,\n              38.671587239937764\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"643","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Malkowski, M.A.","contributorId":340460,"corporation":false,"usgs":false,"family":"Malkowski","given":"M.A.","email":"","affiliations":[{"id":81613,"text":"Department of Earth and Planetary Sciences, University of Texas at Austin, USA","active":true,"usgs":false}],"preferred":false,"id":907223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sickmann, Z.T.","contributorId":340461,"corporation":false,"usgs":false,"family":"Sickmann","given":"Z.T.","email":"","affiliations":[{"id":81614,"text":"Department of Geosciences, University of Texas at Dallas, USA","active":true,"usgs":false}],"preferred":false,"id":907224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fregoso, Theresa A. 0000-0001-7802-5812 tfregoso@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":2571,"corporation":false,"usgs":true,"family":"Fregoso","given":"Theresa","email":"tfregoso@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":907225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Lester","contributorId":205882,"corporation":false,"usgs":false,"family":"McKee","given":"Lester","email":"","affiliations":[{"id":37186,"text":"SFEI","active":true,"usgs":false}],"preferred":false,"id":907226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockli, D.","contributorId":340462,"corporation":false,"usgs":false,"family":"Stockli","given":"D.","email":"","affiliations":[{"id":81613,"text":"Department of Earth and Planetary Sciences, University of Texas at Austin, USA","active":true,"usgs":false}],"preferred":false,"id":907227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":335664,"corporation":false,"usgs":false,"family":"Jaffe","given":"Bruce E.","affiliations":[{"id":80462,"text":"former USGS PCMSC employee","active":true,"usgs":false}],"preferred":false,"id":907228,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256158,"text":"70256158 - 2024 - Aftershock forecasting","interactions":[],"lastModifiedDate":"2024-07-25T16:04:14.684778","indexId":"70256158","displayToPublicDate":"2024-07-25T10:51:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock forecasting","docAbstract":"Aftershocks can compound the impacts of a major earthquake, disrupting recovery efforts and potentially further damaging weakened buildings and infrastructure.  Forecasts of the probability of aftershocks can therefore aid decision-making during earthquake response and recovery.  Several countries issue authoritative aftershock forecasts.  Most aftershock forecasts are based on simple statistical models that were first developed in the 1980s and remain the best available models.  We review these statistical models, and the wide-ranging research to advance aftershock forecasting through better statistical, physical, and machine learning methods.  Physics-based forecasts based on mainshock stress changes can sometimes match the statistical models in testing, but don’t yet outperform them.  Physical models are also hampered by unsolved problems such as the mechanics of dynamic triggering and the influence of background conditions.  Initial work on machine learning forecasts shows promise, and new machine learning earthquake catalogs provide an opportunity to advance all types of aftershock forecasts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-040522-102129","usgsCitation":"Hardebeck, J.L., Llenos, A.L., Michael, A.J., Page, M.T., Schneider, M., and van der Elst, N., 2024, Aftershock forecasting: Annual Review of Earth and Planetary Sciences, v. 52, p. 61-84, https://doi.org/10.1146/annurev-earth-040522-102129.","productDescription":"24 p.","startPage":"61","endPage":"84","ipdsId":"IP-153834","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":489836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-earth-040522-102129","text":"Publisher Index Page"},{"id":431446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":906947,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256231,"text":"70256231 - 2024 - Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","interactions":[],"lastModifiedDate":"2024-07-29T14:33:59.226821","indexId":"70256231","displayToPublicDate":"2024-07-25T09:06:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments","docAbstract":"<p><span>Rhyolitic tuffs range widely in their crystal contents from nearly aphyric to crystal-rich, and their crystal cargoes inform concepts of upper crustal magma reservoirs. The Earthquake Flat pyroclastics (Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand) are 10 km</span><sup>3</sup><span>&nbsp;of rhyolitic tuffs with abundant (~ 40 vol.%) plagioclase and quartz, minor biotite, hornblende, and orthopyroxene, and accessory Fe-Ti oxides, apatite, and zircon, set in high-silica rhyolitic glass. Major minerals form large, euhedral phenocrysts and abundant glomerocrysts with few disequilibrium textures excepting some faintly resorbed quartz. Plagioclase phenocrysts have thick rims of nearly constant composition near An</span><sub>30</sub><span>, and hornblende is weakly zoned or unzoned. The abundant and texturally complex mineral assemblage contrasts with the nearby (~ 25&nbsp;km), nearly synchronous, but more voluminous and crystal-moderate rhyolite tuffs from Rotoiti caldera. New H</span><sub>2</sub><span>O-saturated phase-equilibria results on the erupted Earthquake Flat melt (glass) determine its co-saturation with the partial phenocryst assemblage of plagioclase, quartz, biotite, and Fe-Ti oxides at: 140&nbsp;MPa, 755 ºC. These closely approximate the conditions of the pre-eruptive magma body assuming it was saturated with nearly pure H</span><sub>2</sub><span>O and at an&nbsp;</span><i>f</i><span>O</span><sub>2</sub><span>&nbsp;of ~ Ni–NiO. Absence of hornblende and orthopyroxene from the synthesized assemblages may result from those minerals being in a peritectic reaction relation with melt to produce biotite, so they would not grow from the liquid used as starting material. Experimental results on Rotoiti rhyolite (Nicholls et al. 1992) show that the two bodies resided at similar pressures, temperatures, and&nbsp;</span><i>f</i><span>O</span><sub>2</sub><span>s. Lower crystal abundance of the Rotoiti&nbsp;tuffs may result from slight compositional differences. We interpret that the Earthquake Flat pyroclastics were sourced from the crystal-rich periphery of a mushy reservoir system with the Rotoiti occupying a more melt-rich central location. Uncertain is whether this was a single intrusion zoned continuously in crystallinity, or discrete adjacent intrusions, but our results illustrate and quantify complexities of magma storage across relatively short distances.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00410-024-02151-y","usgsCitation":"Grant, E.R., Blatter, D.L., Sisson, T.W., and Cooper, K.M., 2024, Shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: Evidence from phase-equilibria experiments: Contributions to Mineralogy and Petrology, v. 179, 81, 29 p., https://doi.org/10.1007/s00410-024-02151-y.","productDescription":"81, 29 p.","ipdsId":"IP-158188","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439253,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s00410-024-02151-y","text":"Publisher Index Page"},{"id":434922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IM4QQ","text":"USGS data release","linkHelpText":"Dataset establishing shallow storage of the explosive Earthquake Flat Pyroclastics magma body, Okataina Volcanic Center, Taupo Volcanic Zone, New Zealand: evidence from phase-equilibria experiments"},{"id":431561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"North Island, Taupo Volcanic Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              176.095561609664,\n              -37.65496855984471\n            ],\n            [\n              176.095561609664,\n              -38.389051762476605\n            ],\n            [\n              176.7278928943726,\n              -38.389051762476605\n            ],\n            [\n              176.7278928943726,\n              -37.65496855984471\n            ],\n            [\n              176.095561609664,\n              -37.65496855984471\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"179","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Elizabeth R. 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,{"id":70256998,"text":"70256998 - 2024 - Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","interactions":[],"lastModifiedDate":"2024-10-07T16:12:59.020563","indexId":"70256998","displayToPublicDate":"2024-07-25T08:41:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA","docAbstract":"<p><span>Western Alaska’s convergent margins are composed of tectonostratigraphic terranes. On land, terrane assembly is recognized along boundaries or sutures between neighboring geologic elements with distinctly different origins. In marine areas where rock outcrops are covered by sediment, recognizing terrane sutures is problematic. A fault in seismic dip line 5 of the ALEUT project has been interpreted as a terrane suture. It is imaged intermittently down to the 30+-km-deep plate interface. Processing of ALEUT strike line 7 revealed the suture at ~18 km depths extending 300 km along the margin. Upper structures in line 5 are like the structures of adjacent seismic transects where imaging is only 8−10 km deep. They were previously not recognized as the upper reaches of terrane sutures and show structural details obscured at greater depths. The composite data are the basis for a simple tectonic model of terrane docking.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02757.1","usgsCitation":"von Huene, R.E., and Miller, J.J., 2024, Collision structures of the Prince William terrane and Chugach terrane docking along the Shumagin and Unimak convergent margins, Alaska, USA: Geosphere, v. 20, no. 5, p. 1276-1285, https://doi.org/10.1130/GES02757.1.","productDescription":"10 p.","startPage":"1276","endPage":"1285","ipdsId":"IP-153757","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02757.1","text":"Publisher Index Page"},{"id":432273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Southwest Alaska Trench","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -164,\n              56\n            ],\n            [\n              -164,\n              52.75\n            ],\n            [\n              -156,\n              52.75\n            ],\n            [\n              -156,\n              56\n            ],\n            [\n              -164,\n              56\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":909108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":909109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256388,"text":"70256388 - 2024 - Assessing the population consequences of disturbance and climate change for the Pacific walrus","interactions":[],"lastModifiedDate":"2024-07-30T11:47:40.220932","indexId":"70256388","displayToPublicDate":"2024-07-25T06:45:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the population consequences of disturbance and climate change for the Pacific walrus","docAbstract":"<p class=\"abstract_block\">Climate change and anthropogenic disturbance are increasingly affecting wildlife at a global scale. Predicting how varying types and degrees of disturbance may interact to influence population dynamics is a key management challenge. Population consequences of disturbance (PCoD) models provide a framework to link effects of anthropogenic disturbance on an individual’s behavior and physiology to population-level changes. In the present study, we develop a Pacific walrus (<i>Odobenus rosmarus divergens</i>) PCoD model to encompass the population-level effects of both anthropogenic disturbance and climate change. As the Arctic becomes increasingly ice-free, walruses spend more time at coastal (vs. ice-based) haulouts, from which they must expend more energy to reach foraging areas and where they have an elevated risk of mortality. Concurrently, sea ice loss is increasing the anthropogenic footprint in the Arctic (e.g. fisheries, shipping, energy exploration), which creates additional disturbance. We applied the PCoD model to 4 scenarios (ranging from optimistic to pessimistic) which incorporate different global sea ice model projections along with varying degrees of anthropogenic disturbance. All scenarios indicated a decline in Pacific walrus vital rates by the end of the 21st century, but our results demonstrated that the intensity of that decline could be mitigated by global efforts to reduce carbon emissions, along with local management and conservation efforts to protect important coastal haulouts and foraging grounds. In summary, we introduce a flexible PCoD modeling framework in a novel context which will prove useful to researchers studying species threatened by rapid environmental change.</p>","language":"English","publisher":"InterResearch","doi":"10.3354/meps14635","usgsCitation":"Johnson, D.L., Eisaguirre, J.M., Taylor, R.L., and Garlich-Miller, J.L., 2024, Assessing the population consequences of disturbance and climate change for the Pacific walrus: Marine Ecology Progress Series, v. 740, p. 193-211, https://doi.org/10.3354/meps14635.","productDescription":"19 p.","startPage":"193","endPage":"211","ipdsId":"IP-154398","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439254,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2023.10.12.562073","text":"External Repository"},{"id":431606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"740","noUsgsAuthors":false,"publicationDate":"2024-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin L.","contributorId":340459,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":907212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":907213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garlich-Miller, Joel L.","contributorId":288799,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":907214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256096,"text":"fs20243031 - 2024 - The 3D Elevation Program—Supporting Michigan’s economy","interactions":[],"lastModifiedDate":"2024-07-25T14:14:30.587319","indexId":"fs20243031","displayToPublicDate":"2024-07-24T19:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3031","displayTitle":"The 3D Elevation Program—Supporting Michigan’s Economy","title":"The 3D Elevation Program—Supporting Michigan’s economy","docAbstract":"High-quality elevation data are proving to be a resource of value in addressing many important economic issues in Michigan. 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>MS 511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Status of 3DEP in Michigan</li><li>Agriculture and Precision Farming</li><li>Natural Resources Conservation</li><li>Flood Risk Management</li><li>Geologic Resource Assessment and Hazard Mitigation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-07-24","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":906680,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261500,"text":"70261500 - 2024 - Potential for spatial coexistence of a transboundary migratory species and wind energy development","interactions":[],"lastModifiedDate":"2024-12-12T16:17:50.855245","indexId":"70261500","displayToPublicDate":"2024-07-24T10:08:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Potential for spatial coexistence of a transboundary migratory species and wind energy development","docAbstract":"<p><span>Global expansion in wind energy development is a notable achievement of the international community’s effort to reduce carbon emissions during energy production. However, the increasing number of wind turbines have unintended consequences for migratory birds and bats. Wind turbine curtailment and other mitigation strategies can reduce fatalities, but improved spatial and temporal data are needed to identify the most effective way for wind energy development and volant migratory species to coexist. Mexican free-tailed bats (</span><i>Tadarida brasiliensis mexicana</i><span>) account for a large proportion of known bat fatalities at wind facilities in the southwestern US. We examined the geographic concordance between existing wind energy generation facilities, areas of high wind potential amenable for future deployment of wind facilities, and seasonally suitable habitat for these bats. We used ecological niche modeling to determine species distribution during each of 4 seasons. We used a multi-criteria GIS-based approach to produce a wind turbine siting suitability map. We identified seasonal locations with highest and lowest potential for the species’ probability of occurrence, providing a potential explanation for the higher observed fatalities during fall migration. Thirty percent of 33,606 wind turbines within the southwestern US occurred in highly suitable areas for Mexican free-tailed bats, primarily in west Texas. There is also broad spatial overlap between areas of high wind potential and areas of suitable habitat for Mexican free-tailed bats. Because of this high degree of overlap, our results indicate that post-construction strategies, such as curtailing the timing of operations and deterrents, would be more effective for bat conservation than strategic siting of new wind energy installations.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-66490-3","usgsCitation":"Huang, T., Feng, X., Derbridge, J.J., Libby, K., Diffendorfer, J., Thogmartin, W.E., McCracken, G., Medellin, R., and Lopez-Hoffman, L., 2024, Potential for spatial coexistence of a transboundary migratory species and wind energy development: Scientific Reports, v. 14, 17050, 11 p., https://doi.org/10.1038/s41598-024-66490-3.","productDescription":"17050, 11 p.","ipdsId":"IP-117864","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-66490-3","text":"Publisher Index Page"},{"id":465068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.47553206933844,\n              15.195823510229175\n            ],\n            [\n              -87.8489299849073,\n              17.515394892042707\n            ],\n            [\n              -86.69187668195985,\n              21.411133478434067\n            ],\n            [\n              -89.22876810857116,\n              21.631901891107603\n            ],\n            [\n              -90.7271444797507,\n              20.398715741133728\n            ],\n            [\n              -93.64195681314828,\n             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0000-0003-3074-3166","orcid":"https://orcid.org/0000-0003-3074-3166","contributorId":290285,"corporation":false,"usgs":false,"family":"Derbridge","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[{"id":62394,"text":"The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":920869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Libby, Kaitlin","contributorId":195670,"corporation":false,"usgs":false,"family":"Libby","given":"Kaitlin","email":"","affiliations":[],"preferred":false,"id":920870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":920811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":920812,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCracken, Gary","contributorId":38885,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","affiliations":[],"preferred":false,"id":920871,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Medellin, Rodrigo","contributorId":201608,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":920872,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lopez-Hoffman, Laura","contributorId":347096,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":920813,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256983,"text":"70256983 - 2024 - Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives","interactions":[],"lastModifiedDate":"2024-08-06T13:30:05.401425","indexId":"70256983","displayToPublicDate":"2024-07-24T08:23:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives","docAbstract":"<p><span>Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (&gt;1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. Here, we provide a workflow for utilizing modern photogrammetry to construct virtual geological outcrops hundreds or thousands of meters in length from these archived video images. The photogrammetry further allows quantitative measurements of these outcrops, which were previously unavailable. Although photogrammetry had been carried out in recent years in the deep sea, it had been limited to small areas with pre-defined overlapping dive paths. Here, we propose a workflow for constructing virtual outcrops from archived exploration dives, which addresses the complicating factors posed by single non-linear and variable-speed vehicle paths. These factors include poor navigation, variable lighting, differential color attenuation due to variable distance from the seafloor, and variable camera orientation with respect to the vehicle. In particular, the lack of accurate navigation necessitates reliance on image quality and the establishment of pseudo-ground-control points to build the photogrammetry model. Our workflow offers an inexpensive method for analyzing deep-sea geological environments from existing video images, particularly when coupled with rock samples.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/jmse12081250","usgsCitation":"Flores, C., and ten Brink, U.S., 2024, Photogrammetry of the deep seafloor from archived unmanned submersible exploration dives: Journal of Marine Science and Engineering, v. 12, no. 8, 1250, 19 p., https://doi.org/10.3390/jmse12081250.","productDescription":"1250, 19 p.","ipdsId":"IP-159627","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse12081250","text":"Publisher Index Page"},{"id":432271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.1,\n              19.2\n            ],\n            [\n              -68.1,\n              18.3\n            ],\n            [\n              -66.8,\n              18.3\n            ],\n            [\n              -66.8,\n              19.2\n            ],\n            [\n              -68.1,\n              19.2\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Flores, Claudia 0000-0003-0676-7061 cflores@usgs.gov","orcid":"https://orcid.org/0000-0003-0676-7061","contributorId":304396,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257458,"text":"70257458 - 2024 - Assessing the attractiveness of native wildflower species to bees (Hymenoptera: Anthophila) in the southeastern United States","interactions":[],"lastModifiedDate":"2024-09-10T15:19:29.744735","indexId":"70257458","displayToPublicDate":"2024-07-23T10:13:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the attractiveness of native wildflower species to bees (Hymenoptera: Anthophila) in the southeastern United States","docAbstract":"<ol class=\"\"><li>Habitat loss, agricultural intensification, pesticide use, disease and climate change have contributed to the decline of numerous insect groups. Recent government initiatives have recognized the importance of supplementary wildflower plantings to support native bee populations, yet little information exists on the attractiveness of recommended plant species to bees.</li><li>With the use of network analysis and generalized linear mixed models, we evaluated the attractiveness of 18 wildflower species belonging to 6 families (Apiaceae, Apocynaceae, Asteraceae, Fabaceae, Lamiaceae and Verbenaceae) planted in a randomized block design by conducting timed targeted sweep netting surveys. We also evaluated the floral preferences of four bee species (<i>Apis mellifera</i>,<span>&nbsp;</span><i>Halictus poeyi/ligatus</i>,<span>&nbsp;</span><i>Bombus griseocollis</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Bombus impatiens</i>) to the planted wildflower species with the use of GLMs.</li><li>We found that<span>&nbsp;</span><i>Asclepias tuberosa, Gaillardia pulchella</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Verbena hastata</i><span>&nbsp;</span>attracted the greatest abundance, richness and diversity of native bees compared to the other wildflower species. Collectively,<span>&nbsp;</span><i>Asclepias tuberosa, Gaillardia pulchella</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Verbena hastata</i><span>&nbsp;</span>attracted 89% of all bee taxa in the study, which exemplifies the importance of including them in a wildflower mixture to attract native bees.</li><li>While several wildflower species attracted low abundance, richness and diversity of native bees such as<span>&nbsp;</span><i>Monarda fistulosa, Symphyotrichum pilosum</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Eryngium yuccifolium</i>, they are still ecologically important for attracting uncommon or specialist bee species and should be included in seed mixes for this reason.</li><li><i>Solution</i>. Our results highlight that each species of native wildflower varies in the abundance, richness and diversity of native bees they attract; this could be considered in the decision-making of landowners and land managers to promote wildflower plantings to reflect the needs of certain groups of bees of conservation interest.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12363","usgsCitation":"Abbate, A.P., Campbell, J.W., Grodsky, S.M., and Williams, G.R., 2024, Assessing the attractiveness of native wildflower species to bees (Hymenoptera: Anthophila) in the southeastern United States: Ecological Solutions and Evidence, v. 5, no. 3, e12363, 14 p., https://doi.org/10.1002/2688-8319.12363.","productDescription":"e12363, 14 p.","ipdsId":"IP-149840","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12363","text":"Publisher Index Page"},{"id":433666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Auburn University","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.50453596988723,\n              32.60938683698902\n            ],\n            [\n              -85.50453596988723,\n              32.59104455066009\n            ],\n            [\n              -85.4818773355247,\n              32.59104455066009\n            ],\n            [\n              -85.4818773355247,\n              32.60938683698902\n            ],\n            [\n              -85.50453596988723,\n              32.60938683698902\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Abbate, Anthony P.","contributorId":342898,"corporation":false,"usgs":false,"family":"Abbate","given":"Anthony","email":"","middleInitial":"P.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":910470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Joshua W.","contributorId":342901,"corporation":false,"usgs":false,"family":"Campbell","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":910471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Geoffrey R.","contributorId":342903,"corporation":false,"usgs":false,"family":"Williams","given":"Geoffrey","email":"","middleInitial":"R.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":910473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70258179,"text":"70258179 - 2024 - Projecting the long-term effects of large-scale human influence on the spatial and functional persistence of extant longleaf pine ecosystems in the Florida Flatwoods Pyrome","interactions":[],"lastModifiedDate":"2024-09-06T15:02:07.036169","indexId":"70258179","displayToPublicDate":"2024-07-23T09:58:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Projecting the long-term effects of large-scale human influence on the spatial and functional persistence of extant longleaf pine ecosystems in the Florida Flatwoods Pyrome","docAbstract":"<p><span>Decades of human activities and fire suppression have adversely affected longleaf pine (</span><i>Pinus palustris</i><span>) ecosystems, which are home to high levels of diversity and endemism. These iconic ecosystems also now face challenges from urbanization and climate change, which will alter conservation outcomes over the remainder of the 21st century. To explore how long-term, large-scale human influences could affect the spatial and functional persistence of extant longleaf pine ecosystems in the Florida Flatwoods Pyrome, we extracted a set of 2400 longleaf pine patches ≥40 ha in size from the Florida Longleaf Pine Ecosystem Geodatabase. Projections from the FUTURES urban growth model and the Florida 2070 project indicate that development will lead to losses of existing longleaf pine habitat, reductions in longleaf pine patch size, and patches that are predominantly located in close proximity to developed areas. Finer-scale patterns of longleaf pine loss in three focal landscapes highlighted differences in land protection, ecological setting, and development pressure and the value of using of multiple urbanization iterations. The occurrence of suitable conditions to conduct prescribed fires, a crucial tool for maintaining, improving, and restoring longleaf pine ecosystems, is projected to decrease seasonally throughout the study area. As a result, the functional persistence of ecosystems is at risk due to climate changes that increase barriers to the safe and reliable application of intentional fire. The long-term viability of this critical ecosystem will warrant the evaluation of adaptive strategies that explicitly account for the individual and compounding effects of urban development and changing fire management conditions when considering options for ecosystem protection, management, and restoration.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13187","usgsCitation":"Hutchens, L., Kupfer, J.A., Gao, P., Sanchez, G.M., Meentemeyer, R.K., Terando, A., and Hiers, J.K., 2024, Projecting the long-term effects of large-scale human influence on the spatial and functional persistence of extant longleaf pine ecosystems in the Florida Flatwoods Pyrome: Conservation Science and Practice, v. 6, e13187, 17 p., https://doi.org/10.1111/csp2.13187.","productDescription":"e13187, 17 p.","ipdsId":"IP-164797","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13187","text":"Publisher Index Page"},{"id":433552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.6778324075661,\n              30.937698915049367\n            ],\n            [\n              -82.87914407681765,\n              31.52377445868447\n            ],\n            [\n              -85.48595743814668,\n              29.870880095396842\n            ],\n            [\n              -84.9679549020707,\n              29.721163342172446\n            ],\n            [\n              -83.73921448060787,\n              29.975699066098443\n            ],\n            [\n              -83.09802043717049,\n              29.013903692421295\n            ],\n            [\n              -82.21492940678012,\n              26.67873354422413\n            ],\n            [\n              -81.88136124157192,\n              26.33869742309807\n            ],\n            [\n              -80.97600764340528,\n              26.60948691174565\n            ],\n            [\n              -80.80502196139402,\n              27.153838982412836\n            ],\n            [\n              -80.23615831927407,\n              27.044945104314294\n            ],\n            [\n              -81.6778324075661,\n              30.937698915049367\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2024-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchens, Lilian","contributorId":343967,"corporation":false,"usgs":false,"family":"Hutchens","given":"Lilian","email":"","affiliations":[],"preferred":false,"id":912487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kupfer, John A.","contributorId":339801,"corporation":false,"usgs":false,"family":"Kupfer","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":912488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Peng","contributorId":224731,"corporation":false,"usgs":false,"family":"Gao","given":"Peng","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":912489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanchez, Georgina M. 0000-0002-2365-6200","orcid":"https://orcid.org/0000-0002-2365-6200","contributorId":303829,"corporation":false,"usgs":false,"family":"Sanchez","given":"Georgina","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":true,"id":912490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":912491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":912492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiers, J. Kevin","contributorId":224733,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":912493,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261445,"text":"70261445 - 2024 - A semi-mechanistic model for partitioning evapotranspiration reveals transpiration dominates the water flux in drylands","interactions":[],"lastModifiedDate":"2024-12-10T14:41:05.274772","indexId":"70261445","displayToPublicDate":"2024-07-23T08:36:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"A semi-mechanistic model for partitioning evapotranspiration reveals transpiration dominates the water flux in drylands","docAbstract":"<p><span>Popular evapotranspiration (ET) partitioning methods make assumptions that might not be well-suited to dryland ecosystems, such as high sensitivity of plant water-use efficiency (WUE) to vapor pressure deficit (VPD). Our objectives were to (a) create an ET partitioning model that can produce fine-scale estimates of transpiration (T) in drylands, and (b) use this approach to evaluate how climate controls T and WUE across ecosystem types and timescales along a dryland aridity gradient. We developed a novel, semi-mechanistic ET partitioning method using a Bayesian approach that constrains abiotic evaporation using process-based models, and loosely constrains time-varying WUE within an autoregressive framework. We used this method to estimate daily T and weekly WUE across seven dryland ecosystem types and found that T dominates ET across the aridity gradient. Then, we applied cross-wavelet coherence analysis to evaluate the temporal coherence between focal response variables (WUE and T/ET) and environmental variables. At yearly scales, we found that WUE at less arid, higher elevation sites was primarily limited by atmospheric moisture demand, and WUE at more arid, lower elevation sites was primarily limited by moisture supply. At sub-yearly timescales, WUE and VPD were sporadically correlated. Hence, ecosystem-scale dryland WUE is not always sensitive to changes in VPD at short timescales, despite this being a common assumption in many ET partitioning models. This new ET partitioning method can be used in dryland ecosystems to better understand how climate influences physically and biologically driven water fluxes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007914","usgsCitation":"Reich, E., Samuels-Crow, K., Bradford, J., Litvak, M., Schlaepfer, D.R., and Ogle, K., 2024, A semi-mechanistic model for partitioning evapotranspiration reveals transpiration dominates the water flux in drylands: Journal of Geophysical Research: Biogeosciences, v. 129, no. 7, e2023JG007914, 18 p., https://doi.org/10.1029/2023JG007914.","productDescription":"e2023JG007914, 18 p.","ipdsId":"IP-166030","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":464941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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,{"id":70259218,"text":"70259218 - 2024 - Evaluating distributed snow model resolution and meteorology parameterizations against streamflow observations: Finer Is not always better","interactions":[],"lastModifiedDate":"2024-10-02T13:35:21.858349","indexId":"70259218","displayToPublicDate":"2024-07-23T08:15:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating distributed snow model resolution and meteorology parameterizations against streamflow observations: Finer Is not always better","docAbstract":"<p><span>Estimating snow conditions is often done using numerical snowpack evolution models at spatial resolutions of 500&nbsp;m and greater; however, snow depth in complex terrain often varies on sub-meter scales. This study investigated how the spatial distribution of simulated snow conditions varied across seven model spatial resolutions from 30 to 1,000&nbsp;m and over two meteorological data sets, coarser (≈12&nbsp;km) and finer (4&nbsp;km). Simulated snow covered area (SCA) was compared to remotely sensed SCA and simulated watershed mean peak snow water equivalent (SWE) was compared to four streamflow statistics representing different water management-relevant aspects of the hydrograph using non-parametric correlations. April 1 SWE tended to increase with model resolution, particularly below 4,000 masl. Finer meteorology simulations produced deeper April 1 SWE than coarser meteorology simulations. Finer resolution snow simulations tended to produce longer snowmelt durations and slower snowmelt rates than coarser resolution simulations. Finer resolution simulations had better agreement with SCA for both meteorology data sets, particularly at high and low elevations. However, finer resolution simulations did not generally outperform coarser simulations in snow versus streamflow statistic correlations. Snow versus streamflow correlations were most sensitive to meteorology, watershed properties, and then resolution. Watershed physiographic properties such as wetness index may increase snow versus streamflow metric correlations while elevation and slope may decrease correlations. At watershed scales, these results suggest that simulation resolution and choice of meteorology is less important than the physiographic properties of the watershed; however, if resolving snow distribution across the landscape is important, finer-resolution simulations are useful.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035982","usgsCitation":"Barnhart, T.B., Putman, A.L., Heldmyer, A.J., Rey, D., Hammond, J., Driscoll, J.M., and Sexstone, G., 2024, Evaluating distributed snow model resolution and meteorology parameterizations against streamflow observations: Finer Is not always better: Water Resources Research, v. 60, no. 7, e2023WR035982, 21 p., https://doi.org/10.1029/2023WR035982.","productDescription":"e2023WR035982, 21 p.","ipdsId":"IP-154162","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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