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Wetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.

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The melt composition and temperature, depth at which degassing occurs, extent of gas-water-rock interactions, and volume of ascending magma are all factors that determine the composition and rate of gas emissions at the surface. Interpreted in a petrological framework, gas measurements thus provide information on these fundamental parameters of volcanic systems. Volcanic gases have traditionally been sampled in the field and later analyzed with standard laboratory methods, but remote sensing measurements are playing an increasingly central role in characterizing emissions and the volcanoes from which they originate. The 17 contributions in this Research Topic summarize the state-of-the-art in volcanic gas remote sensing and identify key areas in which the field could further improve our understanding of global volcanism and its impact on Earth’s environment in the next decade.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2023.1340395","usgsCitation":"Kern, C., Arellano, S., Campion, R., Hidalgo, S., and Kazahaya, R., 2023, Editorial: Remote sensing of volcanic gas emissions from the ground, air, and space: Frontiers in Earth Science, v. 11, 1340395, 4 p., https://doi.org/10.3389/feart.2023.1340395.","productDescription":"1340395, 4 p.","ipdsId":"IP-158987","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":441541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1340395","text":"Publisher Index Page"},{"id":423040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":888980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arellano, Santiago","contributorId":205719,"corporation":false,"usgs":false,"family":"Arellano","given":"Santiago","affiliations":[{"id":37153,"text":"Department of Earth and Space Sciences – Chalmers University of Technology, Göteborg, Sweden","active":true,"usgs":false}],"preferred":false,"id":888981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campion, Robin","contributorId":148070,"corporation":false,"usgs":false,"family":"Campion","given":"Robin","email":"","affiliations":[{"id":16993,"text":"Instituto de Geofisica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":888982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hidalgo, Silvana","contributorId":178530,"corporation":false,"usgs":false,"family":"Hidalgo","given":"Silvana","affiliations":[],"preferred":false,"id":888983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazahaya, Ryunosuke","contributorId":331867,"corporation":false,"usgs":false,"family":"Kazahaya","given":"Ryunosuke","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":888984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250206,"text":"70250206 - 2023 - At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution","interactions":[],"lastModifiedDate":"2023-11-28T12:55:24.267682","indexId":"70250206","displayToPublicDate":"2023-11-28T06:52:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution","docAbstract":"

Stream bend geometry is linked to terrain features, hydrologic and ecologic conditions, and anthropogenic forces. Knowledge of the distributions of geometric properties of streams advances understanding of changing landscape conditions and associated processes that operate over a range of spatial scales. Statistical decomposition of sinuosity in natural linear features has proven a longstanding challenge and a particular impediment to automated analysis. This paper demonstrates that sinuosity can vary with the magnitude of units at which it is measured (measurement scales). The paper derives a scale-specific sinuosity (S3) metric intended to measure stream bend geometry across a range of measurement scales. The metric is warranted for analysis and modeling at measurement scales equal or similar to the spatial process and landscape conditions under investigation. Derived from the Richardson (1961) plot, the S3 metric quantifies a frequency signature of planform bend sizes spanning a range of measurement units, enabling visual and quantitative analysis of bend geometry in linear stream features. Derivation of the metric makes evident a systematic relationship between stream bend size, sinuosity, and measurement scale, formalizing a relationship between sinuosity and fractal dimension. The paper shows the utility of the S3 metric in examining bend patterns for synthetic and real-world linear stream data.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2023.108734","usgsCitation":"Stanislawski, L., Kronenfeld, B.J., Buttenfield, B.P., and Shavers, E.J., 2023, At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution: Geomorphology, v. 436, 108734, 11 p., https://doi.org/10.1016/j.geomorph.2023.108734.","productDescription":"108734, 11 p.","ipdsId":"IP-147902","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":441543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2023.108734","text":"Publisher Index Page"},{"id":499546,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13VXT4Z","text":"USGS data release","linkHelpText":"Scale_Specific_Sinuosity"},{"id":423008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"436","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":888906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":888907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":888908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":888909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70251084,"text":"70251084 - 2023 - Space-based Earth observation and ecosystem extent: Exploring opportunities","interactions":[],"lastModifiedDate":"2024-02-09T18:24:36.855406","indexId":"70251084","displayToPublicDate":"2023-11-28T06:44:28","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Space-based Earth observation and ecosystem extent: Exploring opportunities","docAbstract":"The purpose of this white paper is to explore and communicate potential new opportunities for using space-based Earth observation (EO) for monitoring biodiversity with a focus on ecosystem extent (the distribution of ecosystems on the Earth). It is part of a new activity of the Committee on Earth Observation Satellites (CEOS), a collaboration of the world’s space agencies that facilitates cross-agency coordination of EO. This activity, now manifested as the CEOS Ecosystem Extent Task Team, is focused on increasing the CEOS role in biodiversity applications, initially using ecosystem extent as a vehicle for discussion and exploration of ideas. The audience is two-fold: CEOS Principals that represent their agency, and the biodiversity community with a particular focus on the Convention on Biological Diversity (CBD) and their Parties as well as the UN System of Environmental-Economic Accounting (UN SEEA).","language":"English","publisher":"CEOS","usgsCitation":"Geller, G., Levick, S., Luque, S., Sayre, R., Brink, A., Coops, N., Durrieu, S., Ewald, J., Feilhauer, H., Feret, J., Ferrier, S., Honzak, M., Lenco, D., Koltz, A., Lele, N., Lombardo, S., Mahecha, M., Meyer, C., Paganini, M., Rankine, C., Rocchini, D., Rosenthal, A., Santos, M., and Viciano, L., 2023, Space-based Earth observation and ecosystem extent: Exploring opportunities, 38 p.","productDescription":"38 p.","ipdsId":"IP-159281","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":424670,"rank":2,"type":{"id":15,"text":"Index 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Volcano geodesy often involves the use of models to explain observed surface deformation. A variety of forward models are used, from analytical point sources to numerical simulations that consider complex magma system geometries, topography, and material properties. Various inversion methods can then be used to relate observed volcano data to models. Ideally, forward models should be verified through intercomparison, to check for implementation errors and quantify the error induced by any approximations used. Additionally, forward models and inversion methods should be validated through tests with synthetic and/or real data, to determine their ability to match data and estimate parameter values within uncertainty. However, to date, there have not been comprehensive verification and validation efforts in volcano geodesy. Here, we report on the first phase of the Drivers of Volcano Deformation (DVD) exercises, which were designed to build community involvement through web-based exercises involving calculations of static elastic displacement around pressurized magma reservoirs. The forward model exercises begin with a spherical reservoir in a homogeneous half space, then introduce topography, heterogeneous elastic properties, and spheroidal geometries. The inversion exercises provide synthetic noisy surface displacement data for a spherical reservoir in a homogeneous half space and assess consistency in estimates of reservoir location and volume/pressure change. There is variability in the results from both forward modeling and inversions, which highlights the strengths and limitations of different forward models, as well as the importance of inversion method choice and uncertainty quantification. This first phase of the DVD exercises serves as a community resource and will facilitate further efforts to develop standards of reproducibility.

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The fields of biology, ecology, and fisheries management are witnessing a growing demand for distinguishing individual fish. In recent years, deep learning methods have emerged as a promising tool for image-based fish recognition. Our study is focused on the re-identification of masu salmon from Japan, wherein fish were individually marked and photographed to evaluate discriminative body characteristics. Unlike previous studies where fish were sampled during the same time period, we evaluated individual re-identification across seasons and years to address challenges due to aging, seasonal variation, and other factors. In this paper, we propose a new contrastive learning framework called Aging Contrast (AgCo) and evaluate its performance on the masu salmon dataset. Our analysis indicates that, unlike large changes in body size over time, the pattern of parr marks on the lateral line of the fish body remains relatively stable, despite some change in coloration across seasons. AgCo accounts for such seasonally-invariant features and performs re-identification based on the cosine similarity of these features. Extensive experiments show that our AgCo method outperforms other state-of-the-art methods.

","conferenceTitle":"AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023","conferenceDate":"November 28-December 1, 2023","conferenceLocation":"Brisbane, Australia","language":"English","publisher":"Springer","doi":"10.1007/978-981-99-8388-9_21","usgsCitation":"Shi, W., Zhou, Z., Letcher, B., Hitt, N.P., Kanno, Y., Futamura, R., Kishida, O., Morita, K., and Li, S., 2023, Aging contrast: A contrastive learning framework for fish re-identification across seasons and years., AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, v. 14471, Brisbane, Australia, November 28-December 1, 2023, p. 252-264, https://doi.org/10.1007/978-981-99-8388-9_21.","productDescription":"13 p.","startPage":"252","endPage":"264","ipdsId":"IP-150815","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":426128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14471","noUsgsAuthors":false,"publicationDate":"2023-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Weili","contributorId":305925,"corporation":false,"usgs":false,"family":"Shi","given":"Weili","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":874101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Z.","contributorId":305926,"corporation":false,"usgs":false,"family":"Zhou","given":"Z.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":874102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":874103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanno, Yoichiro ykanno@usgs.gov","contributorId":4876,"corporation":false,"usgs":true,"family":"Kanno","given":"Yoichiro","email":"ykanno@usgs.gov","affiliations":[],"preferred":true,"id":874105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Futamura, R.","contributorId":305928,"corporation":false,"usgs":false,"family":"Futamura","given":"R.","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":874106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kishida, O.","contributorId":305927,"corporation":false,"usgs":false,"family":"Kishida","given":"O.","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":895666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morita, K.","contributorId":305929,"corporation":false,"usgs":false,"family":"Morita","given":"K.","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":874108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Sheng","contributorId":297449,"corporation":false,"usgs":false,"family":"Li","given":"Sheng","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":874109,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250325,"text":"70250325 - 2023 - Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna","interactions":[],"lastModifiedDate":"2023-12-04T15:34:13.527112","indexId":"70250325","displayToPublicDate":"2023-11-27T09:19:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna","docAbstract":"

Fire-dependent savanna provides key habitat for butterflies globally, but we know little about how fire regimes, including fire frequency and season, affect them. These impacts are likely to be primarily indirect, through changes in overall habitat structure, the abundance of larval host plants, and/or the provision of nectar resources for adults. We examined the relationships among fire regime, butterfly abundance and diversity, and vegetation structure and floral resources within a long-term fire experiment near Darwin in the Australian monsoon tropics. We surveyed butterflies and floral resources throughout the 2019–2020 wet season in three replicate plots of each of six experimental treatments that had been operating for 15 years. All plots subject to fire had been burned in the previous dry season. We observed 24 butterfly species and 280 individuals representing all five butterfly families found in Northern Australia. Butterfly abundance was highest under early dry-season (June) fire regimes (mean = 11.9 individuals per plot survey) compared with a late dry-season (October) regime (mean = 6.7) and in the long-term absence of fire (mean = 5.3), and this was correlated with the abundance of floral resources. The distribution of butterflies was also highly associated with floral resources within plots regardless of fire treatment. Butterfly species richness was significantly higher in early dry-season (mean = 6.8) compared with unburned (mean = 3.3) plots but did not differ between early and late dry-season (mean = 4.7) plots. Butterfly and floral diversity were similar across all early dry-season fire treatments regardless of whether they had been burned every 1, 2, 3, or 5 years. Our finding that early dry-season burning promotes butterfly diversity and abundance by increasing the supply of nectar resources has important implications for biodiversity management more broadly, given that nectar is a critical resource for many animal taxa.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4717","usgsCitation":"Leone, J.B., Larson, D., Richards, A.E., Schatz, J., and Andersen, A.N., 2023, Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna: Ecosphere, v. 14, no. 11, e4714, 17 p., https://doi.org/10.1002/ecs2.4717.","productDescription":"e4714, 17 p.","ipdsId":"IP-149012","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":441548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4717","text":"Publisher Index Page"},{"id":423174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Territory Wildlife Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 130.9646231191581,\n -12.679610515182347\n ],\n [\n 130.9646231191581,\n -12.718979103292654\n ],\n [\n 131.00331132688984,\n -12.718979103292654\n ],\n [\n 131.00331132688984,\n -12.679610515182347\n ],\n [\n 130.9646231191581,\n -12.679610515182347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Leone, Julia B.","contributorId":216121,"corporation":false,"usgs":false,"family":"Leone","given":"Julia","email":"","middleInitial":"B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":889457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, Anna E. 0000-0002-2934-5497","orcid":"https://orcid.org/0000-0002-2934-5497","contributorId":332108,"corporation":false,"usgs":false,"family":"Richards","given":"Anna","email":"","middleInitial":"E.","affiliations":[{"id":39017,"text":"CSIRO Land and Water","active":true,"usgs":false}],"preferred":false,"id":889459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schatz, Jon","contributorId":332109,"corporation":false,"usgs":false,"family":"Schatz","given":"Jon","email":"","affiliations":[{"id":39017,"text":"CSIRO Land and Water","active":true,"usgs":false}],"preferred":false,"id":889460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, Alan N.","contributorId":179231,"corporation":false,"usgs":false,"family":"Andersen","given":"Alan","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":889461,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250245,"text":"70250245 - 2023 - Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web","interactions":[],"lastModifiedDate":"2023-12-21T14:52:37.446433","indexId":"70250245","displayToPublicDate":"2023-11-24T06:52:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web","docAbstract":"

The movement of per- and polyfluoroalkyl substances (PFAS) through linked aquatic–terrestrial food webs is not well understood. Tree swallows (Tachycineta bicolor) in such systems may be exposed to PFAS from multiple abiotic and/or biotic compartments. We show from fatty acid signatures and carbon stable isotopes that tree swallow nestlings in southwestern Ontario fed on both terrestrial and aquatic macroinvertebrates. The PFAS profiles of air, terrestrial invertebrates, and swallows were dominated by perfluorooctanesulfonic acid (PFOS). Short-chain perfluoroalkyl acids (PFAAs) were largely restricted to air, surface water, and sediment, and long-chain PFAAs were mainly found in aquatic invertebrates and tree swallows. PFOS, multiple long-chain perfluorocarboxylic acids [perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluorotridecanoic acid (PFTrDA)] and perfluorooctane sulfonamide precursors were estimated to bioaccumulate from air to tree swallows. PFOS bioaccumulated from air to terrestrial invertebrates, and PFOS, PFDA, and perfluorooctane sulfonamidoacetic acids (FOSAAs) bioaccumulated from water to aquatic invertebrates. PFOS showed biomagnification from both terrestrial and aquatic invertebrates to tree swallows, and PFDA and FOSAAs were also biomagnified from aquatic invertebrates to tree swallows. The movement of PFAS through aquatic–terrestrial food webs appears congener- and compartment-specific, challenging the understanding of PFAS exposure routes for multiple species involved in these food webs.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c06944","usgsCitation":"Hopkins, K.E., McKinney, M.A., Saini, A., Letcher, R.J., Karouna-Renier, N., and Fernie, K.J., 2023, Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web: Environmental Science and Technology, v. 57, no. 48, p. 20249-20260, https://doi.org/10.1021/acs.est.3c06944.","productDescription":"12 p.","startPage":"20249","endPage":"20260","ipdsId":"IP-157512","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441551,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.3c06944","text":"Publisher Index Page"},{"id":423085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.94915766991996,\n 43.537740918867286\n ],\n [\n -79.94915766991996,\n 43.02587734700535\n ],\n [\n -78.96038813866959,\n 43.02587734700535\n ],\n [\n -78.96038813866959,\n 43.537740918867286\n ],\n [\n -79.94915766991996,\n 43.537740918867286\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"48","noUsgsAuthors":false,"publicationDate":"2023-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kailee E.","contributorId":331888,"corporation":false,"usgs":false,"family":"Hopkins","given":"Kailee","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":889042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saini, Amandeep","contributorId":331889,"corporation":false,"usgs":false,"family":"Saini","given":"Amandeep","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":889044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889046,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250161,"text":"70250161 - 2023 - Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","interactions":[],"lastModifiedDate":"2023-11-24T12:54:19.730004","indexId":"70250161","displayToPublicDate":"2023-11-24T06:43:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5082,"text":"Ticks and Tick-borne Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","title":"Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","docAbstract":"

Human Lyme disease–primarily caused by the bacterium Borrelia burgdorferi sensu stricto (s.s.) in North America–is the most common vector-borne disease in the United States. Research on risk mitigation strategies during the last three decades has emphasized methods to reduce densities of the primary vector in eastern North America, the blacklegged tick (Ixodes scapularis). Controlling white-tailed deer populations has been considered a potential method for reducing tick densities, as white-tailed deer are important hosts for blacklegged tick reproduction. However, the feasibility and efficacy of white-tailed deer management to impact acarological risk of encountering infected ticks (namely, density of host-seeking infected nymphs; DIN) is unclear. We investigated the effect of white-tailed deer density and management on the density of host-seeking nymphs and B. burgdorferi s.s. infection prevalence using surveillance data from eight national parks and park regions in the eastern United States from 2014–2022. We found that deer density was significantly positively correlated with the density of nymphs (nymph density increased by 49% with a 1 standard deviation increase in deer density) but was not strongly correlated with the prevalence of B. burgdorferi s.s. infection in nymphal ticks. Further, while white-tailed deer reduction efforts were followed by a decrease in the density of I. scapularis nymphs in parks, deer removal had variable effects on B. burgdorferi s.s. infection prevalence, with some parks experiencing slight declines and others slight increases in prevalence. Our findings suggest that managing white-tailed deer densities alone may not be effective in reducing DIN in all situations but may be a useful tool when implemented in integrated management regimes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ttbdis.2023.102202","usgsCitation":"Martin, A., Buttke, D., Raphael, J., Taylor, K., Maes, S., Parise, C.M., Ginsberg, H., and Cross, P., 2023, Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto: Ticks and Tick-borne Diseases, v. 14, no. 5, 102202, 15 p., https://doi.org/10.1016/j.ttbdis.2023.102202.","productDescription":"102202, 15 p.","ipdsId":"IP-146009","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441555,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ttbdis.2023.102202","text":"Publisher Index Page"},{"id":435115,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LSI8K9","text":"USGS data release","linkHelpText":"Blacklegged tick nymph densities, tickborne pathogen prevalence, and white-tailed deer densities in eight national parks in the eastern United States from 2014-2022"},{"id":422883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.04185662081417,\n 38.07679669581978\n ],\n [\n -77.04185662081417,\n 40.08490092740237\n ],\n [\n -77.97369181209007,\n 40.08490092740237\n ],\n [\n -77.97369181209007,\n 38.07679669581978\n ],\n [\n -77.04185662081417,\n 38.07679669581978\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Alynn 0000-0002-6603-2385","orcid":"https://orcid.org/0000-0002-6603-2385","contributorId":224233,"corporation":false,"usgs":true,"family":"Martin","given":"Alynn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buttke, Danielle","contributorId":225082,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","affiliations":[],"preferred":false,"id":888617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raphael, Jordan","contributorId":218631,"corporation":false,"usgs":false,"family":"Raphael","given":"Jordan","email":"","affiliations":[{"id":39877,"text":"National Park Service, Fire Island National Seashore","active":true,"usgs":false}],"preferred":false,"id":888618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Kelsey","contributorId":194103,"corporation":false,"usgs":false,"family":"Taylor","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":888619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maes, Sarah","contributorId":331731,"corporation":false,"usgs":false,"family":"Maes","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":888641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parise, Christina M.","contributorId":331732,"corporation":false,"usgs":false,"family":"Parise","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":888642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ginsberg, Howard 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":15473,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":888620,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888621,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250157,"text":"70250157 - 2023 - Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed","interactions":[],"lastModifiedDate":"2023-11-24T12:43:08.489657","indexId":"70250157","displayToPublicDate":"2023-11-24T06:35:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed","docAbstract":"

To evaluate relationships between different anthropogenic impacts, contaminant occurrence, and fish health, we conducted in situ fish exposures across the Shenandoah River watershed at five sites with different land use. Exposure water was analyzed for over 500 chemical constituents, and organismal, metabolomic, and transcriptomic endpoints were measured in fathead minnows. Adverse reproductive outcomes were observed in fish exposed in the upper watershed at both wastewater treatment plant (WWTP) effluent- and agriculture-impacted sites, including decreased gonadosomatic index and altered secondary sex characteristics. This was accompanied with increased mortality at the site most impacted by agricultural activities. Molecular biomarkers of estrogen exposure were unchanged and consistent with low or non-detectable concentrations of common estrogens, indicating that alternative mechanisms were involved in organismal adverse outcomes. Hepatic metabolomic and transcriptomic profiles were altered in a site-specific manner, consistent with variation in land use and contaminant profiles. Integrated biomarker response data were useful for evaluating mechanistic linkages between contaminants and adverse outcomes, suggesting that reproductive endocrine disruption, altered lipid processes, and immunosuppression may have been involved in these organismal impacts. This study demonstrated linkages between human-impact, contaminant occurrence, and exposure effects in the Shenandoah River watershed and showed increased risk of adverse outcomes in fathead minnows exposed to complex mixtures at sites impacted by municipal wastewater discharges and agricultural practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.165975","usgsCitation":"Bertolatus, D., Barber, L., Martyniuk, C.J., Zhen, H., Collette, T.W., Ekman, D.R., Jastrow, A., Rapp, J., and Vajda, A.M., 2023, Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed: Science of the Total Environment, v. 902, 165975, 13 p., https://doi.org/10.1016/j.scitotenv.2023.165975.","productDescription":"165975, 13 p.","ipdsId":"IP-096955","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":467073,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10592118","text":"External Repository"},{"id":422882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Shenandoah River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.9727012249313,\n 39.59725275152107\n ],\n [\n -78.22802064680776,\n 39.25705449140892\n ],\n [\n -78.4769570831382,\n 39.26199675696881\n ],\n [\n -79.23014937767479,\n 38.676407590053856\n ],\n [\n -79.70249030814699,\n 38.621572296491735\n ],\n [\n -80.34078886283893,\n 37.70317136166855\n ],\n [\n -80.41738468940203,\n 37.31836727052378\n ],\n [\n -80.20036318080633,\n 36.763022451379456\n ],\n [\n -79.68334135150582,\n 36.660683818457315\n ],\n [\n -79.07057473900181,\n 37.23710331035643\n ],\n [\n -77.99185018157169,\n 37.97537751570279\n ],\n [\n -77.42376446789602,\n 38.73120090646128\n ],\n [\n -77.50674328000592,\n 39.25705449140892\n ],\n [\n -77.9727012249313,\n 39.59725275152107\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"902","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bertolatus, David 0000-0002-6829-9454","orcid":"https://orcid.org/0000-0002-6829-9454","contributorId":220848,"corporation":false,"usgs":false,"family":"Bertolatus","given":"David","email":"","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":888604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - 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2023 - Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","interactions":[],"lastModifiedDate":"2023-11-24T12:35:19.407915","indexId":"70250167","displayToPublicDate":"2023-11-24T06:19:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","docAbstract":"

Northern high-latitude lakes are critical sites for carbon processing and serve as potential conduits for the emission of permafrost-derived carbon and greenhouse gases. However, the fate and emission pathways of permafrost carbon in these systems remain uncertain. Here, we used the natural abundance of radiocarbon to identify and trace the predominant sources of methane, carbon dioxide, dissolved inorganic and organic carbon in nine lakes within the Yukon Flats National Wildlife Refuge in interior Alaska, a discontinuous permafrost region with high landscape heterogeneity and susceptibility to climate, permafrost, and hydrological changes. We find that although Yukon Flats lakes primarily process young carbon (modern to 1290 ± 60 years before present), permafrost-derived carbon is present in some of the sampled lakes and contributes, at most, 30 ± 10% of the dissolved carbon in lake surface waters. Apportionment of young carbon and legacy carbon (carbon with radiocarbon age ⩾5000 years before present) is decoupled among the dissolved inorganic and organic carbon species, with methane showing a stronger legacy signature. Our observations suggest that permafrost-thaw-related transport of carbon through Yukon Flats lacustrine ecosystems and into the atmosphere is small, and likely regulated by surficial sediments, permafrost distribution, wildfire occurrence, or masked by contemporary carbon processes. The heterogeneity of lakes across our study area and northern landscapes more broadly cautions against using any one region (e.g. Yedoma permafrost lakes) to upscale their contribution across the pan-Arctic.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad0993","usgsCitation":"Garcia-Tigreros, F., Elder, C.D., Kurek, M.R., Miller, B.L., Xu, X., Wickland, K., Czimczik, C.I., Dornblaser, M.M., Striegl, R.G., Kyzivat, E.D., Smith, L., Spencer, R., Miller, C.E., and Butman, D., 2023, Arctic-boreal lakes of interior Alaska dominated by contemporary carbon: Environmental Research Letters, v. 18, no. 12, 124024, 11 p., https://doi.org/10.1088/1748-9326/ad0993.","productDescription":"124024, 11 p.","ipdsId":"IP-148398","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0993","text":"Publisher Index Page"},{"id":422881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Boot Lake, Canvasback Lake, Greenpepper Lake, Shack Lake, Thumb Lake, Twelvemile Lake, Twin Lake, West Crazy Lake, YF18 Lake, Yukon Flats National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.32495243819622,\n 65.09586209258472\n ],\n [\n -149.03799309568313,\n 64.59463623905711\n ],\n [\n -143.9761424480567,\n 65.63219990838482\n ],\n [\n -141.00690728046249,\n 66.43516910407672\n ],\n [\n -140.9727162057442,\n 68.73213031511489\n ],\n [\n -148.19579980608407,\n 67.27696483824582\n ],\n [\n -153.60488278174276,\n 67.04326208119708\n ],\n [\n -152.32495243819622,\n 65.09586209258472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":888627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Clayton D.","contributorId":201542,"corporation":false,"usgs":false,"family":"Elder","given":"Clayton","email":"","middleInitial":"D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":888629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Benjamin L.","contributorId":331727,"corporation":false,"usgs":false,"family":"Miller","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":888630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Xiaomei","contributorId":139915,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaomei","email":"","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":888631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":888632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Czimczik, Cluadia I.","contributorId":331728,"corporation":false,"usgs":false,"family":"Czimczik","given":"Cluadia","email":"","middleInitial":"I.","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":888633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":888634,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":888635,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kyzivat, Ethan D.","contributorId":300572,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":888636,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Laurence C.","contributorId":169004,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence C.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":888637,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":888638,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Charles E.","contributorId":270237,"corporation":false,"usgs":false,"family":"Miller","given":"Charles","email":"","middleInitial":"E.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":888639,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":888640,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70250773,"text":"70250773 - 2023 - Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths","interactions":[],"lastModifiedDate":"2024-01-04T13:09:31.702227","indexId":"70250773","displayToPublicDate":"2023-11-23T07:06:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths","docAbstract":"

Groundwater discharge to streams is a nonpoint source of nitrogen (N) that confounds N mitigation efforts and represents a significant portion of the annual N loading to watersheds. However, we lack an understanding of where and how much groundwater N enters streams and watersheds. Nitrogen concentrations at the end of groundwater flowpaths are the culmination of biogeochemical and physical processes from the contributing land area where groundwater recharges, within the aquifer system, and in the near-stream riparian area where groundwater discharges to streams. Our research objectives were to quantify the spatial distribution of N concentrations at groundwater discharges throughout a mixed land-use watershed and to evaluate how relationships among contributing and riparian land cover, modeled aquifer characteristics, and groundwater discharge biogeochemistry explain the spatial variation in groundwater discharge N concentrations. We accomplished this by integrating high-resolution thermal infrared surveys to locate groundwater discharge, biogeochemical sampling of groundwater, and a particle tracking model that links groundwater discharge locations to their contributing area land cover. Groundwater N loading from groundwater discharges within the watershed varied substantially between and within streambank groundwater discharge features. Groundwater nitrate concentrations were spatially heterogeneous ranging from below 0.03–11.45 mg-N/L, varying up to 20-fold within meters. When combined with the particle tracking model results and land cover metrics, we found that groundwater discharge nitrate concentrations were best predicted by a linear mixed-effect model that explained over 60% of the variation in nitrate concentrations, including aquifer chemistry (dissolved oxygen, Cl−, SO42−), riparian area forested land cover, and modeled physical aquifer characteristics (discharge, Euclidean distance). Our work highlights the significant spatial variability in groundwater discharge nitrate concentrations within mixed land-use watersheds and the need to understand groundwater N processing across the many spatiotemporal scales within groundwater cycling.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad0c86","usgsCitation":"Moore, E.M., Barclay, J.R., Haynes, A.B., Jackson, K.E., Bisson, A.M., Briggs, M., and Helton, A.M., 2023, Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths: Environmental Research Letters, v. 18, 124039, 12 p., https://doi.org/10.1088/1748-9326/ad0c86.","productDescription":"124039, 12 p.","ipdsId":"IP-150250","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":441560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0c86","text":"Publisher Index Page"},{"id":424111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Farmington River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.18499513799182,\n 42.06150696284237\n ],\n [\n -73.18499513799182,\n 41.43446844111949\n ],\n [\n -72.30059572392948,\n 41.43446844111949\n ],\n [\n -72.30059572392948,\n 42.06150696284237\n ],\n [\n -73.18499513799182,\n 42.06150696284237\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Eric M. 0000-0002-2479-2677","orcid":"https://orcid.org/0000-0002-2479-2677","contributorId":332922,"corporation":false,"usgs":false,"family":"Moore","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":79689,"text":"University of Connecticut, Department Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":891365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, Adam B.","contributorId":332923,"corporation":false,"usgs":false,"family":"Haynes","given":"Adam","email":"","middleInitial":"B.","affiliations":[{"id":79690,"text":"University of California Santa Cruz, Earth & Planetary Sciences Department","active":true,"usgs":false}],"preferred":false,"id":891367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Kevin E. 0000-0002-2156-5073","orcid":"https://orcid.org/0000-0002-2156-5073","contributorId":332924,"corporation":false,"usgs":false,"family":"Jackson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[{"id":79691,"text":"University of Maryland, Center for Envirnomental Science","active":true,"usgs":false}],"preferred":false,"id":891368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bisson, Alaina M.","contributorId":332925,"corporation":false,"usgs":false,"family":"Bisson","given":"Alaina","email":"","middleInitial":"M.","affiliations":[{"id":79692,"text":"Harvard University Arboretum","active":true,"usgs":false}],"preferred":false,"id":891369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":891370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helton, Ashley M. 0000-0001-6928-2104","orcid":"https://orcid.org/0000-0001-6928-2104","contributorId":298703,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":891371,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250273,"text":"70250273 - 2023 - A community convention for ecological forecasting: Output files and metadata version 1.0","interactions":[],"lastModifiedDate":"2023-11-30T13:09:22.449203","indexId":"70250273","displayToPublicDate":"2023-11-23T07:04:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A community convention for ecological forecasting: Output files and metadata version 1.0","docAbstract":"

This paper summarizes the open community conventions developed by the Ecological Forecasting Initiative (EFI) for the common formatting and archiving of ecological forecasts and the metadata associated with these forecasts. Such open standards are intended to promote interoperability and facilitate forecast communication, distribution, validation, and synthesis. For output files, we first describe the convention conceptually in terms of global attributes, forecast dimensions, forecasted variables, and ancillary indicator variables. We then illustrate the application of this convention to the two file formats that are currently preferred by the EFI, netCDF (network common data form), and comma-separated values (CSV), but note that the convention is extensible to future formats. For metadata, EFI's convention identifies a subset of conventional metadata variables that are required (e.g., temporal resolution and output variables) but focuses on developing a framework for storing information about forecast uncertainty propagation, data assimilation, and model complexity, which aims to facilitate cross-forecast synthesis. The initial application of this convention expands upon the Ecological Metadata Language (EML), a commonly used metadata standard in ecology. To facilitate community adoption, we also provide a Github repository containing a metadata validator tool and several vignettes in R and Python on how to both write and read in the EFI standard. Lastly, we provide guidance on forecast archiving, making an important distinction between short-term dissemination and long-term forecast archiving, while also touching on the archiving of code and workflows. Overall, the EFI convention is a living document that can continue to evolve over time through an open community process.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4686","usgsCitation":"Dietze, M.C., Thomas, R.Q., Peters, J., Boettiger, C., Koren, G., Shiklomanov, A.N., and Ashander, J., 2023, A community convention for ecological forecasting: Output files and metadata version 1.0: Ecosphere, v. 14, no. 11, e4686, 23 p., https://doi.org/10.1002/ecs2.4686.","productDescription":"e4686, 23 p.","ipdsId":"IP-146045","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4686","text":"Publisher Index Page"},{"id":423087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietze, Michael C.","contributorId":266096,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":54896,"text":"Department of Earth & Environment, Boston University, Boston, MA 02215, USA","active":true,"usgs":false}],"preferred":false,"id":889240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, R. Quinn","contributorId":242825,"corporation":false,"usgs":false,"family":"Thomas","given":"R.","email":"","middleInitial":"Quinn","affiliations":[{"id":48537,"text":"Assistant Professor, Forest Resources & Environmental Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":889241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jody","contributorId":216790,"corporation":false,"usgs":false,"family":"Peters","given":"Jody","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":889242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boettiger, Carl 0000-0002-1642-628X","orcid":"https://orcid.org/0000-0002-1642-628X","contributorId":332018,"corporation":false,"usgs":false,"family":"Boettiger","given":"Carl","email":"","affiliations":[{"id":79359,"text":"Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":889243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koren, Gerband","contributorId":332019,"corporation":false,"usgs":false,"family":"Koren","given":"Gerband","email":"","affiliations":[{"id":79360,"text":"Copernicus Institute of Sustainable Development, Utrecht University, Netherlands","active":true,"usgs":false}],"preferred":false,"id":889244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shiklomanov, Alexy N.","contributorId":332020,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexy","email":"","middleInitial":"N.","affiliations":[{"id":79361,"text":"NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":889245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ashander, Jaime 0000-0002-1841-4768","orcid":"https://orcid.org/0000-0002-1841-4768","contributorId":294949,"corporation":false,"usgs":true,"family":"Ashander","given":"Jaime","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":889246,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250186,"text":"70250186 - 2023 - Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","interactions":[],"lastModifiedDate":"2023-11-28T12:52:16.525451","indexId":"70250186","displayToPublicDate":"2023-11-23T06:48:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","docAbstract":"

Sediment connectivity is a conceptualization for the transfer and storage of sediment among different geomorphic compartments across upland landscapes and channel networks. Sediment connectivity and dysconnectivity are linked to the water cycle and hydrologic systems with the associated multiscale interactions with climate, soil, topography, ecology, and landuse/landcover under natural variability and human intervention. We review current sediment connectivity and modeling approaches evaluating and quantifying water and sediment transfer in catchment systems. Many studies highlight the interaction between sediment and water in defining landscape connectivity, but many efforts to quantify and/or simulate sediment connectivity rely on the topographic/structural controls on sediment erosion and delivery. More recent modeling efforts integrate functional and structural connectivity to capture hydrologic properties influencing sediment delivery. Though the recent modeling development is encouraging, a comprehensive sediment connectivity framework, which integrates geomorphic and hydrologic processes across spatiotemporal scales, has not yet been accomplished. Such an effort requires understanding the hydrologic and geomorphic processes that control sediment source, storage, and transport at different spatiotemporal scales and across various geophysical conditions. We propose a path for developing this new understanding through an integrated hydrologic and sediment connectivity conceptual model that broadly categorizes dominant processes and patterns relevant to understanding sediment flux dynamics. The conceptual model describes hydrologic–sediment connectivity regimes through spatial-temporal feedback between hydrologic processes and geomorphic drivers. We propose that in combining hydrologic and sediment connectivity into a single conceptual model, patterns emerge such that catchments will exist in a single characteristic behavior at a particular instance, which would shift with space and time, and with landscape disturbances. Using the conceptual model as a “thinking” tool, we extract case studies from a multidisciplinary literature review—from hydrology, geomorphology, biogeochemistry, and watershed modeling to remote-sensing technology—that correspond to each of the dominant hydrologic–sediment connectivity regimes. Sediment and water interactions in real-world examples through various observational and modeling techniques illustrate the advancements in the spatial and temporal scales of landscape connectivity observations and simulations. The conceptual model and case studies provide a foundation for advancing the understanding and predictive capability of watershed sediment processes at multiple spatiotemporal scales. Plain language summary: Soil erosion and movement across the landscape are closely linked to rain events and flow pathways. Landscape connectivity is a way to consider how soil erosion from different parts of the landscape is connected to the streams. We explore where soil erosion occurs and how eroded soil moves across the landscape through the interaction with rainfall and drainage. The comprehensive understanding of sediment connectivity and its dependence on rainfall characteristics and watershed hydrology may help to inform the effective distribution of conservation funds and management actions to address water pollution from excess sediment.

","language":"English","publisher":"Frontiers","doi":"10.3389/frwa.2023.1241622","usgsCitation":"Cho, J., Karwan, D., Skalak, K., Pizzuto, J., and Huffman, M., 2023, Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time: Frontiers in Water, v. 5, 1241622, 24 p., https://doi.org/10.3389/frwa.2023.1241622.","productDescription":"1241622, 24 p.","ipdsId":"IP-153828","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":441564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2023.1241622","text":"Publisher Index Page"},{"id":423007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cho, Jong 0000-0001-5514-6056","orcid":"https://orcid.org/0000-0001-5514-6056","contributorId":291384,"corporation":false,"usgs":true,"family":"Cho","given":"Jong","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":888728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karwan, Diana","contributorId":331761,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":888729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pizzuto, James","contributorId":331762,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":888731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huffman, Max","contributorId":331763,"corporation":false,"usgs":false,"family":"Huffman","given":"Max","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":888732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250853,"text":"70250853 - 2023 - Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure","interactions":[],"lastModifiedDate":"2024-01-10T15:20:56.832051","indexId":"70250853","displayToPublicDate":"2023-11-22T09:12:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure","docAbstract":"

Pollinator diversity and abundance are declining globally. Cropland agriculture and the corresponding use of agricultural pesticides may contribute to these declines, while increased pollinator habitat (flowering plants) can help mitigate them. Here we tested whether the relative effect of wildflower plantings on pollinator diversity and counts were modified by proportion of nearby agricultural land cover and pesticide exposure in 24 conserved grasslands in Iowa, USA. Compared with general grassland conservation practices, wildflower plantings led to only a 5% increase in pollinator diversity and no change in counts regardless of the proportion of cropland agriculture within a 1 km radius. Pollinator diversity increased earlier in the growing season and with per cent flower cover. Unexpectedly, neither insecticide nor total pesticide concentrations on above-ground passive samplers were related to pollinator diversity. However, pollinator community composition was most strongly related to date of sampling, total pesticide concentration, and forb or flower cover. Our results indicate very little difference in pollinator diversity between grassland conservation practices with and without wildflower plantings. Given the relatively high economic costs of wildflower plantings, our research provides initial evidence that investment in general grassland conservation may efficiently conserve pollinator diversity in temperate regions of intensive cropland agriculture.

","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsos.231093","usgsCitation":"Kraus, J.M., Smalling, K., Vandever, M.W., Givens, C.E., Smith, C., Kolpin, D., and Hladik, M.L., 2023, Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure: Royal Society Open Science, v. 10, no. 11, https://doi.org/10.1098/rsos.231093.","productDescription":"231093, 12 p.","startPage":"231093","ipdsId":"IP-157224","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441567,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.231093","text":"Publisher Index Page"},{"id":435116,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q0NAF8","text":"USGS data release","linkHelpText":"Plant and insect pollinator diversity data from Conservation Reserve Program fields across an agricultural gradient in eastern Iowa"},{"id":424274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.06613018879129,\n 43.47459165083325\n ],\n [\n -94.06613018879129,\n 40.39777384484779\n ],\n [\n 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0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":891796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891800,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250629,"text":"70250629 - 2023 - Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir","interactions":[],"lastModifiedDate":"2023-12-21T13:08:53.986552","indexId":"70250629","displayToPublicDate":"2023-11-22T07:06:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir","docAbstract":"

Predicting the spatial occurrence of wildlife is a major challenge for ecology and management. In Latin America, limited knowledge of the number and locations of vampire bat roosts precludes informed allocation of measures intended to prevent rabies spillover to humans and livestock. We inferred the spatial distribution of vampire bat roosts while accounting for observation effort and environmental effects by fitting a log Gaussian Cox process model to the locations of 563 roosts in three regions of Peru. Our model explained 45% of the variance in the observed roost distribution and identified environmental drivers of roost establishment. When correcting for uneven observation effort, our model estimated a total of 2340 roosts, indicating that undetected roosts (76%) exceed known roosts (24%) by threefold. Predicted hotspots of undetected roosts in rabies-free areas revealed high-risk areas for future viral incursions. Using the predicted roost distribution to inform a spatial model of rabies spillover to livestock identified areas with disproportionate underreporting and indicated a higher rabies burden than previously recognized. We provide a transferrable approach to infer the distribution of a mostly unobserved bat reservoir that can inform strategies to prevent the re-emergence of an important zoonosis.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2023.1739","usgsCitation":"Ribeiro, R., Matthiopoulos, J., Lindgre, F., Tello, C., Zariquiey, C.M., Valderrama, W., Rocke, T.E., and Streicker, D.G., 2023, Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir: Proceedings of the Royal Society B: Biological Sciences, v. 209, no. 2011, 20231739, 11 p., https://doi.org/10.1098/rspb.2023.1739.","productDescription":"20231739, 11 p.","ipdsId":"IP-152468","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":441568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2023.1739","text":"Publisher Index Page"},{"id":423836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.35165910540015,\n -11.766899411877915\n ],\n [\n -76.35165910540015,\n -16.706271629111924\n ],\n [\n -70.68271379289993,\n -16.706271629111924\n ],\n [\n -70.68271379289993,\n -11.766899411877915\n ],\n [\n -76.35165910540015,\n -11.766899411877915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"209","issue":"2011","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ribeiro, Rita","contributorId":332603,"corporation":false,"usgs":false,"family":"Ribeiro","given":"Rita","email":"","affiliations":[{"id":79508,"text":"School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK","active":true,"usgs":false}],"preferred":false,"id":890628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthiopoulos, Jason","contributorId":194337,"corporation":false,"usgs":false,"family":"Matthiopoulos","given":"Jason","email":"","affiliations":[],"preferred":false,"id":890629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindgre, Finn","contributorId":332604,"corporation":false,"usgs":false,"family":"Lindgre","given":"Finn","email":"","affiliations":[{"id":79509,"text":"School of Mathematics, University of Edinburgh, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":890630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tello, Carlos","contributorId":244267,"corporation":false,"usgs":false,"family":"Tello","given":"Carlos","email":"","affiliations":[{"id":48877,"text":"ILLARIY, Asociaci´on para el Desarrollo y Conservaci´on de los Recursos Naturales Lima, Peru","active":true,"usgs":false}],"preferred":false,"id":890631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zariquiey, Carlos M.","contributorId":332605,"corporation":false,"usgs":false,"family":"Zariquiey","given":"Carlos","email":"","middleInitial":"M.","affiliations":[{"id":79511,"text":"ILLARIY (Asociación para el Desarrollo y Conservación de los Recursos Naturales), Lima, Perú","active":true,"usgs":false}],"preferred":false,"id":890632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valderrama, William","contributorId":244269,"corporation":false,"usgs":false,"family":"Valderrama","given":"William","email":"","affiliations":[{"id":48878,"text":"eILLARIY, Asociaci´on para el Desarrollo y Conservaci´on de los Recursos Naturales Lima, Peru","active":true,"usgs":false}],"preferred":false,"id":890633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":890634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Streicker, Daniel G. 0000-0001-7475-2705","orcid":"https://orcid.org/0000-0001-7475-2705","contributorId":152378,"corporation":false,"usgs":false,"family":"Streicker","given":"Daniel","email":"","middleInitial":"G.","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":890635,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250201,"text":"70250201 - 2023 - Implementing a dual-spectrometer approach for improved surface reflectance estimation","interactions":[],"lastModifiedDate":"2023-11-28T13:05:06.780243","indexId":"70250201","displayToPublicDate":"2023-11-22T07:00:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Implementing a dual-spectrometer approach for improved surface reflectance estimation","docAbstract":"
Surface reflectance measurement is an integral part of the vicarious calibration of satellite sensors and the validation of satellite-derived top-of-atmosphere (TOA) and surface reflectance products. A well-known practice for estimating surface reflectance is to conduct a field campaign with a spectrometer and a calibration panel, which is labor-intensive and expensive. To address this issue, the Radiometric Calibration Network, RadCalNet, has been developed, which automatically collects surface reflectance over several selected sites. Neither of these approaches can continuously track the atmosphere, which limits their ability to compensate for atmospheric transmittance change during target measurement. This paper presents the dual-spectrometer approach that uses a stationary spectrometer dedicated to continuously tracking changes in atmospheric transmittance by staring at a calibrated reference panel while the mobile spectrometer measures the target. Simultaneous measurement of the reflectance panel and target help to transfer calibration from the stationary spectrometer to the mobile spectrometer and synchronize the measurements. In this manner, atmospheric transmittance changes during target measurement can be tracked and used to reduce the variability of the target surface reflectance. This paper uses field measurement data from combined field campaigns between different calibration groups at Brookings, South Dakota, and Landsat 8 and Landsat 9 underfly efforts over Coconino National Forest, Arizona, and Guymon, Oklahoma. Preliminary results show that even in a clear sky condition, where atmospheric transmittance changes are minimal, the precision of target surface reflectance estimated using the dual-spectrometer approach is 2–6% better than the single-spectrometer approach. The dual-spectrometer approach shows the potential for a substantial improvement in the precision of the target spectral profile when the atmospheric transmittance is changing rapidly during field measurement. Results show that during non-optimal atmospheric conditions, the dual-spectrometer approach improved the precision of the surface reflectance by 50–60% compared to the single-spectrometer approach across most spectral regions. The ability to estimate surface reflectance more precisely using the dual-spectrometer approach in different atmospheric conditions improves the vicarious calibration of optical satellite sensors and the validation of both TOA and surface reflectance products.
","language":"English","publisher":"MPDI","doi":"10.3390/rs15235451","usgsCitation":"Shrestha, M., Mann, J.J., Maddox, E., Robbins, T.J., Irwin, J., Kropuenske, T., and Helder, D., 2023, Implementing a dual-spectrometer approach for improved surface reflectance estimation: Remote Sensing, v. 15, no. 23, 5451, 30 p., https://doi.org/10.3390/rs15235451.","productDescription":"5451, 30 p.","ipdsId":"IP-148498","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":441571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15235451","text":"Publisher Index Page"},{"id":435117,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E3F6LV","text":"USGS data release","linkHelpText":"ECCOE 2021 Surface Reflectance Validation Dataset"},{"id":423010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"23","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Mahesh 0000-0002-8368-6399 mshrestha@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-8368-6399","contributorId":259303,"corporation":false,"usgs":false,"family":"Shrestha","given":"Mahesh","email":"mshrestha@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":888806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Joshua J. 0000-0002-4748-0836","orcid":"https://orcid.org/0000-0002-4748-0836","contributorId":330717,"corporation":false,"usgs":false,"family":"Mann","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":888807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maddox, Emily 0000-0001-5649-1193","orcid":"https://orcid.org/0000-0001-5649-1193","contributorId":331815,"corporation":false,"usgs":false,"family":"Maddox","given":"Emily","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":888808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Terry J. 0000-0001-5137-5396","orcid":"https://orcid.org/0000-0001-5137-5396","contributorId":330716,"corporation":false,"usgs":false,"family":"Robbins","given":"Terry","email":"","middleInitial":"J.","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":888809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":888810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kropuenske, Travis 0000-0002-3269-4225","orcid":"https://orcid.org/0000-0002-3269-4225","contributorId":331816,"corporation":false,"usgs":false,"family":"Kropuenske","given":"Travis","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":888811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":195522,"corporation":false,"usgs":false,"family":"Helder","given":"Dennis","affiliations":[],"preferred":false,"id":888812,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251598,"text":"70251598 - 2023 - Characterization of acoustic detection efficiency using an unmanned surface vessel as a mobile receiver platform","interactions":[],"lastModifiedDate":"2024-02-20T12:13:11.257977","indexId":"70251598","displayToPublicDate":"2023-11-22T06:10:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of acoustic detection efficiency using an unmanned surface vessel as a mobile receiver platform","docAbstract":"

Studies involving acoustic telemetry typically use stationary acoustic receivers arranged in an array or grid. Unmanned surface vehicle (USV)-based mobile receivers offer advantages over the latter approach: the USV can be programmed to autonomously carry a receiver to and from target locations, more readily adapting to a survey’s spatial scope and scale. This work examines the acoustic detection performance of a low-cost USV developed as a flexible sensing platform. The USV was fitted with an acoustic receiver and operated over multiple waypoints set at increasing distances from the transmitter in two modes: drifting and station-keeping. While drifting, the USV was allowed to drift from the waypoint; while station-keeping, the USV used its thruster to hold position. Detection performance of the USV was similar to that of stationary receivers while drifting, but significantly worse while station-keeping. Noise from the USV thruster was hypothesized as a potential cause of poor detection performance during station-keeping. Detection performance varied with the depth of the tethered receiver such that detection range was greater during the deepest (4.6 m) trials than during shallower (1.1 and 2.9 m) trials. These results provide insight and guidance on how a USV can be best used for acoustic telemetry, namely, navigating to a planned waypoint, drifting and lowering the receiver to a desired depth for listening, and then navigating to the next waypoint.

","language":"English","publisher":"Springer","doi":"10.1186/s40317-023-00350-1","usgsCitation":"Gaskell, E.M., Funnell, T.R., Holbrook, C., Hondorp, D.W., and Tan, X., 2023, Characterization of acoustic detection efficiency using an unmanned surface vessel as a mobile receiver platform: Animal Biotelemetry, v. 11, 41, 13 p., https://doi.org/10.1186/s40317-023-00350-1.","productDescription":"41, 13 p.","ipdsId":"IP-155456","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":441574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-023-00350-1","text":"Publisher Index Page"},{"id":425784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Hammond Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.18848857240516,\n 45.624082075270366\n ],\n [\n -84.18848857240516,\n 45.56498039215245\n ],\n [\n -84.12224845490009,\n 45.56498039215245\n ],\n [\n -84.12224845490009,\n 45.624082075270366\n ],\n [\n -84.18848857240516,\n 45.624082075270366\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaskell, Eric M.","contributorId":334194,"corporation":false,"usgs":false,"family":"Gaskell","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":894996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funnell, Tyler Reid 0000-0002-9074-3531","orcid":"https://orcid.org/0000-0002-9074-3531","contributorId":334195,"corporation":false,"usgs":true,"family":"Funnell","given":"Tyler","email":"","middleInitial":"Reid","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Xiaobo 0000-0002-5542-6266","orcid":"https://orcid.org/0000-0002-5542-6266","contributorId":214765,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":895000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262313,"text":"70262313 - 2023 - Response of Tiger Salamanders (Ambystoma t. tigrinum) to wetland restoration in a midwestern agricultural landscape, U.S.A.","interactions":[],"lastModifiedDate":"2025-01-22T17:19:20.260328","indexId":"70262313","displayToPublicDate":"2023-11-21T10:13:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9341,"text":"Ichthyology & Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Response of Tiger Salamanders (Ambystoma t. tigrinum) to wetland restoration in a midwestern agricultural landscape, U.S.A.","docAbstract":"

Since the early 1990s, > 3,000 ha of wetlands (and adjacent prairie) have been restored on the row-crop agricultural landscape of Winnebago County, Iowa, U.S.A. From 2014–2016, we surveyed 45 wetlands among 19 easements for occupancy by Eastern Tiger Salamanders (Ambystoma tigrinum tigrinum) and used radio-telemetry to measure their patterns of movement and habitat use. Rates of occupancy increased with wetland age, from < 25% for wetlands 1–2 years old to ∼75% for wetlands > 11 years old. A two-year survey (2014 and 2015) of ten wetlands restored in 2013 showed that nine were occupied after two years; we did not find a relationship between distance to the nearest salamander population and occupancy of newly restored wetlands by salamanders. We tracked 30 salamanders after they left their breeding wetlands for an average of 69±37 d (range = 14–109 d) and relocated them a total of 393 times. Typically, once a salamander left its breeding wetland, it traveled 50–350 m over several days, found a suitable burrow, then remained for much of the rest of the season. Mean daily distances traveled by salamanders were 7.9±5.6 m (range = 0–135 m); the range of maximum straight-line distances moved was 26–659 m; only one individual salamander traveled in a statistically linear path, relative to a random walk. While ∼90% of the landscape was composed of row-crop fields, salamanders used protective grassy habitats (e.g., restored prairie, road ditches) on ∼88% of our observations. Only three salamanders used row-crop fields, and two of them were killed by heavy equipment. Regardless of the terrestrial habitat types used by salamanders, we found them underground on 336 (84.8%) of our observations.

","language":"English","publisher":"BioOne","doi":"10.1643/h2020083","usgsCitation":"Bartelt, P., Devries, A., and Klaver, R.W., 2023, Response of Tiger Salamanders (Ambystoma t. tigrinum) to wetland restoration in a midwestern agricultural landscape, U.S.A.: Ichthyology & Herpetology, v. 111, no. 4, p. 571-583, https://doi.org/10.1643/h2020083.","productDescription":"13 p.","startPage":"571","endPage":"583","ipdsId":"IP-116927","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Winnebago County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.9691,43.5044],[-93.6782,43.5047],[-93.6485,43.5045],[-93.4964,43.504],[-93.4971,43.4347],[-93.4971,43.3446],[-93.4977,43.2568],[-93.6184,43.2572],[-93.7354,43.257],[-93.853,43.2568],[-93.9699,43.2573],[-93.9705,43.3447],[-93.9699,43.4334],[-93.9691,43.5044]]]},\"properties\":{\"name\":\"Winnebago\",\"state\":\"IA\"}}]}","volume":"111","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":348825,"corporation":false,"usgs":false,"family":"Bartelt","given":"Paul E.","affiliations":[{"id":56262,"text":"Waldorf University","active":true,"usgs":false}],"preferred":false,"id":923810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devries, Alyse T.","contributorId":348826,"corporation":false,"usgs":false,"family":"Devries","given":"Alyse T.","affiliations":[{"id":56262,"text":"Waldorf University","active":true,"usgs":false}],"preferred":false,"id":923811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":923809,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250365,"text":"70250365 - 2023 - Stress gradients structure spatial variability in coastal tidal marsh plant composition and diversity in a major Pacific coast estuary","interactions":[],"lastModifiedDate":"2023-12-05T12:53:18.910274","indexId":"70250365","displayToPublicDate":"2023-11-21T06:47:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Stress gradients structure spatial variability in coastal tidal marsh plant composition and diversity in a major Pacific coast estuary","docAbstract":"

Understanding the drivers of variability in plant diversity from local to landscape spatial scales is a challenge in ecological systems. Environmental gradients exist at several spatial scales and can be nested hierarchically, influencing patterns of plant diversity in complex ways. As plant community dynamics influence ecosystem function, understanding the drivers of plant community variability across space is paramount for predicting potential shifts in ecosystem function from global change. Determining the scales at which stress gradients influence vegetation composition is crucial to inform management and restoration of tidal marshes for specific functions. Here, we analyzed vegetation community composition in 51 tidal marshes from the San Francisco Bay Estuary, California, USA. We used model-based compositional analysis and rank abundance curves to quantify environmental (elevation/tidal frame position, distance to channel, and channel salinity) and species trait (species form, wetland indicator status, and native status) influences on plant community variability at the marsh site and estuary scales. While environmental impacts on plant diversity varied by species and their relationships to each other, overall impacts increased in strength from marsh to estuary scales. Relative species abundance was important in structuring these tidal marsh communities even with the limited species pools dominated by a few species. Rank abundance curves revealed different community structures by region with higher species evenness at plots higher in the tidal frame and adjacent to freshwater channels. By identifying interactions (species–species, species–environment, and environment–trait) at multiple scales (local, landscape), we begin to understand how variability measurements could be interpreted for conservation and land management decisions.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1215964","usgsCitation":"Rankin, L.L., Jones, S., Janousek, C.N., Buffington, K., Takekawa, J., and Thorne, K., 2023, Stress gradients structure spatial variability in coastal tidal marsh plant composition and diversity in a major Pacific coast estuary: Frontiers in Ecology and Evolution, v. 11, 1215964, 16 p., https://doi.org/10.3389/fevo.2023.1215964.","productDescription":"1215964, 16 p.","ipdsId":"IP-156855","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441577,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1215964","text":"Publisher Index Page"},{"id":435118,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94F802H","text":"USGS data release","linkHelpText":"Marsh Vegetation Surveys Across the San Francisco Bay Estuary, 2008-2018"},{"id":423234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.94698987792064,\n 38.31950691888645\n ],\n [\n -122.94698987792064,\n 37.20784358966503\n ],\n [\n -121.36495862792067,\n 37.20784358966503\n ],\n [\n -121.36495862792067,\n 38.31950691888645\n ],\n [\n -122.94698987792064,\n 38.31950691888645\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Scott F. 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":204137,"corporation":false,"usgs":false,"family":"Jones","given":"Scott F.","affiliations":[{"id":36864,"text":"University of Louisiana Lafayette","active":true,"usgs":false}],"preferred":false,"id":889565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":889566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203688,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":889568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889569,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250318,"text":"70250318 - 2023 - Observing coastal wetland transitions using national land cover products","interactions":[],"lastModifiedDate":"2024-02-26T16:06:21.729112","indexId":"70250318","displayToPublicDate":"2023-11-20T09:41:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5866,"text":"Progress in Physical Geography: Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Observing coastal wetland transitions using national land cover products","docAbstract":"

Over the coming century, climate change and sea-level rise are predicted to cause widespread change to coastal wetlands. Estuarine vegetated wetlands can adapt to sea-level rise through both vertical development (i.e., biophysical feedbacks and sedimentation) and upslope/horizontal migration. Quantifying changes to estuarine vegetated wetlands over time can help to inform current and future decisions regarding land management and resource stewardship. In this study, we show how coastal land cover maps readily available in the US can be used to assess and understand estuarine vegetated wetland changes. This assessment involves two steps: (1) identifying the net gain/loss of estuarine vegetated wetlands and (2) determining which land cover types contribute to the net gain/loss. From this information, we developed estuarine vegetated wetland change scenarios that evaluate whether estuarine vegetated wetland gain kept up with loss and whether the contribution was from: (1) estuarine vegetated wetland migration or tidal restoration; (2) land building (i.e., development); or (3) both. We assessed changes from 1996 to 2016 for: (1) the conterminous US; (2) each major US coastline; and (3) focal estuaries with the most change per coast. We found that the change scenario (1, 2, or 3) varied across coastlines. Moving forward, national coastal land cover programs can be informed by utilizing methodologies that leverage contemporary information for delineating the estuarine zone from upslope/adjacent wetlands. We highlight approaches that could be used to address this challenge and provide complementary information related to wetland condition changes.

","language":"English","publisher":"SAGE Publications","doi":"10.1177/03091333231216588","usgsCitation":"Enwright, N., Osland, M., Thorne, K., Guntenspergen, G.R., Grace, J., Steyer, G., Herold, N., Chivoiu, B., and Han, M., 2023, Observing coastal wetland transitions using national land cover products: Progress in Physical Geography: Earth and Environment, v. 48, no. 1, p. 113-135, https://doi.org/10.1177/03091333231216588.","productDescription":"23 p.","startPage":"113","endPage":"135","ipdsId":"IP-151539","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435119,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U43QEO","text":"USGS data release","linkHelpText":"Estuarine vegetated wetland change scenarios for estuaries in the conterminous United States, 1996&ndash;2019"},{"id":423177,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":209771,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":206247,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":889438,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herold, Nate","contributorId":127749,"corporation":false,"usgs":false,"family":"Herold","given":"Nate","email":"","affiliations":[{"id":7054,"text":"NOAA/NMFS, Silver Spring, MD","active":true,"usgs":false}],"preferred":false,"id":889439,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":889440,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Han, Minoo 0000-0002-6009-602X","orcid":"https://orcid.org/0000-0002-6009-602X","contributorId":332099,"corporation":false,"usgs":false,"family":"Han","given":"Minoo","email":"","affiliations":[{"id":79381,"text":"Han Consulting contracted to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":889441,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250205,"text":"70250205 - 2023 - Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty","interactions":[],"lastModifiedDate":"2023-11-28T13:21:31.650315","indexId":"70250205","displayToPublicDate":"2023-11-20T07:08:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty","docAbstract":"

Our ability to forecast epidemics far into the future is constrained by the many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that specify the future state of critical epidemic drivers. Since December 2020, the U.S. COVID-19 Scenario Modeling Hub (SMH) has convened multiple modeling teams to make months ahead projections of SARS-CoV-2 burden, totaling nearly 1.8 million national and state-level projections. Here, we find SMH performance varied widely as a function of both scenario validity and model calibration. We show scenarios remained close to reality for 22 weeks on average before the arrival of unanticipated SARS-CoV-2 variants invalidated key assumptions. An ensemble of participating models that preserved variation between models (using the linear opinion pool method) was consistently more reliable than any single model in periods of valid scenario assumptions, while projection interval coverage was near target levels. SMH projections were used to guide pandemic response, illustrating the value of collaborative hubs for longer-term scenario projections.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-42680-x","usgsCitation":"Howerton, E., Contamin, L., Mullany, L.C., Qin, M., Reich, N.G., Bents, S., Borchering, R.K., Jung, S., Loo, S.L., Smith, C.P., Levander, J., Kerr, J., Espino, J., van Panhuis, W., Hochheiser, H., Galanti, M., Yamana, T.K., Pei, S., Shaman, J.L., Rainwater-Lovett, K., Kinsey, M., Tallaksen, K., Wilson, S., Shin, L., Lemaitre, J.C., Kaminsky, J., Dent Hulse, J., Lee, E.C., McKee, C., Hill, A., Karlen, D., Chinazzi, M., Davis, J.T., Mu, K., Xiong, X., Pastore Piontti, A., Vespignani, A., Rosenstrom, E.T., Ivy, J.S., Mayorga, M.E., Swann, J.L., Espana, G., Cavany, S., Moore, S., Perkins, A., Hladish, T.J., Pillai, A.N., Ben Toh, K., Longini, I., Chen, S., Paul, R., Janies, D., Thill, J., Bouchnita, A., Bi, K., Lachmann, M., Fox, S., Ancel Meyers, L., Srivastava, A., Porebski, P., Venkatramanan, S., Adiga, A., Lewis, B., Klahn, B., Outten, J., Hurt, B., Chen, J., Mortveit, H., Wilson, A., Marathe, M., Hoops, S., Bhattacharya, P., Machi, D., Gunnels, B.L., Healy, J.M., Slayton, R.B., Johansson, M.A., Biggerstaff, M., Truelove, S., Runge, M.C., Shea, K., Viboud, C., and Lessler, J., 2023, Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty: Epidemics, v. 14, 7260, 15 p., https://doi.org/10.1038/s41467-023-42680-x.","productDescription":"7260, 15 p.","ipdsId":"IP-154417","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441580,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-42680-x","text":"Publisher Index Page"},{"id":423011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Howerton, Emily 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No abstract available.

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Kīlauea is a frequently active, open-system volcano on the Island of Hawaiʻi known for erupting olivine-dominated tholeiitic basalt compositions. On rare occasions it erupts more differentiated magmas (<1% of erupted volume), such as basaltic andesites and andesites, from its rift zones. These differentiated magmas offer an opportunity to understand better the petrology, magma storage, magma mixing, and eruptive triggers that occur in Kīlauea's rift zone reservoirs. This study focuses on an eruption from the Southwest Rift Zone of Kīlauea, which is dominantly basaltic andesite with subordinate basalt. This eruption originated at the Kamakaiʻa Hills during the early 19th century and has two eruptive phases: 1) an early ‘a‘ā phase that is primarily exposed in the eastern part of the flow field, with minor western lobes, and 2) a late pāhoehoe phase that makes up most of the western part of the flow field. The early ‘a‘ā phase covers at least 5.8 km2 with an erupted volume of ∼150 × 106 m3 and consists of uniform composition basaltic andesites with 3.72–4.15 wt% MgO over its ∼7 km flow length. The late pāhoehoe phase reached >10 km from its vent, covers an area of ∼7.1 km2, has a volume of ∼100 × 106 m3, and initially erupted basaltic andesite near its vent (4.50–5.64 wt% MgO extending to 3.8 km from vent) with channel and tube-fed basalt (6.21–12.38 wt% MgO sampled at >3.8 km from vent) emplaced during its waning stages. Most Kamakaiʻa Hills lavas are crystal-poor, containing ≤1.5% glomerocrysts and individual phenocrysts of plagioclase + clinopyroxene + Fe\"singleTi oxides ± orthopyroxene, as well as olivine in lavas with >6 wt% MgO.

Major-oxide and trace-element concentrations throughout the Kamakaiʻa Hills lavas demonstrate the involvement of three distinct magmatic processes. First, the basaltic andesites of the early ‘a‘ā phase are the products of fractionation of plagioclase + clinopyroxene + Fe\"singleTi oxides ± orthopyroxene, indicative of magmas that have been stored in rift zone reservoirs for decades or longer. Second, the near-vent (within ∼400 m of vent) basaltic andesites of the late pāhoehoe phase yield chemical concentrations that indicate magma mixing with a more differentiated magma (of a similar evolved composition to basaltic andesites at ∼55–56 wt% SiO2 and ∼3.4–4.1 wt% MgO that erupted in the lower East Rift Zone in 2018). Third, the progressively more mafic magma (containing olivine + plagioclase + clinopyroxene) that continued to erupt throughout the waning stages of activity suggests an eruptive triggering process whereby an intruding summit or uprift reservoir basalt overpressurized and forced out the stored, differentiated magma of the Kamakaiʻa Hills rift zone reservoir.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2023.107967","usgsCitation":"Downs, D.T., Sas, M., and Hazlett, R.W., 2023, Chemistry and petrography of early 19th century basaltic andesites and basalts from the Kamakaiʻa Hills in the Southwest Rift Zone of Kīlauea volcano, Hawaiʻi: Journal of Volcanology and Geothermal Research, v. 444, 107967, 19 p., https://doi.org/10.1016/j.jvolgeores.2023.107967.","productDescription":"107967, 19 p.","ipdsId":"IP-148287","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":435120,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TLM9YD","text":"USGS data release","linkHelpText":"Major- and trace-element chemical analyses of whole-rock and glass from the Kamakaiʻa Hills of the Southwest Rift Zone of Kīlauea volcano, Hawaiʻi"},{"id":422713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaiʻi","otherGeospatial":"Kamakaiʻa Hills, Kīlauea Volcano, Southwest Rift Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.53595307076637,\n 19.09998767098206\n ],\n [\n -155.5226475641525,\n 19.108725037100598\n ],\n [\n -155.50845458316687,\n 19.117944797569507\n ],\n [\n -155.50579339923198,\n 19.126325951763278\n ],\n [\n -155.5013580926739,\n 19.132192506747657\n ],\n [\n -155.48317333578595,\n 19.13428765445977\n ],\n [\n -155.47474625332572,\n 19.13973491410684\n ],\n [\n -155.4667627015212,\n 19.140153926635648\n ],\n [\n -155.44636029135413,\n 19.148114962596523\n ],\n [\n -155.43926380086128,\n 19.157751492258186\n ],\n [\n -155.42861906512198,\n 19.16487378275511\n ],\n [\n -155.4250708198755,\n 19.173252554108032\n ],\n [\n -155.4122084308572,\n 19.182887614478005\n ],\n [\n -155.39978957249468,\n 19.18456321961959\n ],\n [\n -155.38825777544378,\n 19.194197618276505\n ],\n [\n -155.36475065068603,\n 19.198386311373483\n ],\n [\n -155.3434611792075,\n 19.212627070229345\n ],\n [\n -155.2906810311665,\n 19.353774781919824\n ],\n [\n -155.2241514327958,\n 19.414022873397485\n ],\n [\n -155.25741623198115,\n 19.44664794099863\n ],\n [\n -155.32527642231923,\n 19.447066168539862\n ],\n [\n -155.37140361052298,\n 19.39854459161397\n ],\n [\n -155.39734994735747,\n 19.37741281772412\n ],\n [\n -155.41786313692344,\n 19.345924688822812\n ],\n [\n -155.42063510025716,\n 19.327827986397622\n ],\n [\n -155.4836164533814,\n 19.21813548851027\n ],\n [\n -155.54349309191502,\n 19.1175895157496\n ],\n [\n -155.53595307076637,\n 19.09998767098206\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":888365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sas, May","contributorId":194298,"corporation":false,"usgs":false,"family":"Sas","given":"May","email":"","affiliations":[],"preferred":false,"id":888366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazlett, Richard W. 0000-0002-8841-0906","orcid":"https://orcid.org/0000-0002-8841-0906","contributorId":214066,"corporation":false,"usgs":false,"family":"Hazlett","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":38976,"text":"Pomona College, Claremont, CA; UH Hilo, Hilo HI; Department of Interior","active":true,"usgs":false}],"preferred":false,"id":888367,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70251057,"text":"70251057 - 2023 - Modeling groundwater-level responses to multiple stresses using transfer-function models and wavelet analysis in a coastal aquifer system","interactions":[],"lastModifiedDate":"2024-01-19T13:26:30.651329","indexId":"70251057","displayToPublicDate":"2023-11-19T07:24:26","publicationYear":"2023","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":"Modeling groundwater-level responses to multiple stresses using transfer-function models and wavelet analysis in a coastal aquifer system","docAbstract":"

In coastal aquifers, dynamic stresses such as climate forcings, groundwater withdrawals, and ocean tidal fluctuations cause nonlinear responses to groundwater levels. Such responses to the stresses impact groundwater resources and related flooding and infrastructure risks at multiple scales. We used time-series models such as transfer-function models and wavelet analysis to quantify the relative contribution of these stresses to groundwater-level fluctuation in wells from the unconfined and confined aquifers in an Atlantic coastal aquifer. Climate forcings, such as precipitation and temperature, explained most of the groundwater-level variation for wells in the unconfined aquifer, whereas groundwater withdrawals were the dominant driver of groundwater levels for wells in the confined aquifer. The impact of groundwater withdrawals also was detected in several wells in the unconfined aquifer. Although the influence of ocean tides on groundwater levels commonly is observed in coastal aquifers, we found that daily groundwater withdrawals can obscure the semi-diurnal coherence signal of the two series. The magnitude of groundwater-level fluctuation that could be explained solely by tides was minor compared to that explained by climate or withdrawal stresses. Transfer-function modeling showed seasonal withdrawals from wells in confined aquifers had a significant, yet heterogeneous influence on groundwater levels in coastal aquifers, which highlights climate and withdrawals as key compounding stresses in coastal hydrology. This study demonstrates the value of time-series approaches to advance characterization of groundwater systems in areas with limited hydrogeologic parameter information.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.130426","usgsCitation":"Yang, G., and McCoy, K., 2023, Modeling groundwater-level responses to multiple stresses using transfer-function models and wavelet analysis in a coastal aquifer system: Journal of Hydrology, v. 627, no. Part B, 130426, 12 p., https://doi.org/10.1016/j.jhydrol.2023.130426.","productDescription":"130426, 12 p.","ipdsId":"IP-150305","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":441582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2023.130426","text":"Publisher Index Page"},{"id":424621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Virginia Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.26319664375336,\n 37.04695559476376\n ],\n [\n -76.26319664375336,\n 36.59981472352801\n ],\n [\n -75.83944187250752,\n 36.59981472352801\n ],\n [\n -75.83944187250752,\n 37.04695559476376\n ],\n [\n -76.26319664375336,\n 37.04695559476376\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"627","issue":"Part B","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Guoxiang 0000-0001-5587-3683","orcid":"https://orcid.org/0000-0001-5587-3683","contributorId":267279,"corporation":false,"usgs":false,"family":"Yang","given":"Guoxiang","affiliations":[{"id":55459,"text":"NSA Contractor to USGS VA and WV WSC","active":true,"usgs":false}],"preferred":false,"id":892914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Kurt J. 0000-0002-9756-8238","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":216196,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt J.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}