{"pageNumber":"111","pageRowStart":"2750","pageSize":"25","recordCount":184617,"records":[{"id":70266307,"text":"70266307 - 2025 - Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","interactions":[],"lastModifiedDate":"2025-05-02T15:34:19.960507","indexId":"70266307","displayToPublicDate":"2020-05-20T10:30:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","docAbstract":"<div id=\"sp0090\" class=\"u-margin-s-bottom\"><span>Recent advances in satellite imaging technology have greatly improved our observations of&nbsp;planetary surfaces. The&nbsp;Lunar Reconnaissance Orbiter&nbsp;(LRO) Narrow Angle Camera (NAC) records images with resolutions on average of 0.5&nbsp;m per pixel, resolving meter scale features on the surface of the Moon. NAC images have revealed layered deposits, interpreted to be sequences of mare&nbsp;basalt&nbsp;flows, in the walls of impact craters on the lunar nearside. However, caution must be exercised in the interpretation of&nbsp;surface processes&nbsp;from morphologies of features that are close to the limits of detectability. Our goal is to quantify where that limit is for&nbsp;</span>lava flow<span>&nbsp;</span>stratigraphy.</div><div id=\"sp0095\" class=\"u-margin-s-bottom\"><span>Here we report on a terrestrial analog study conduced to better constrain limitations in the measurements of thicknesses of lava flows observed in high-resolution satellite-collected images. Using WorldView-2 satellite images, we mapped layered&nbsp;basalt&nbsp;flows at three sites in the Wai'anae and Ko'olau Ranges of O'ahu, Hawai'i.&nbsp;</span>Fieldwork<span>&nbsp;conducted at these sites allowed for assessment of the accuracy of image interpretations. We found that flow thickness estimates made using WorldView-2 images overestimated thicknesses of individual lava flows measured in the field at all eight locations visited by a factor of 1.2 to 3.5. A primary reason for this overestimation by&nbsp;remote sensing&nbsp;analysis is that many outcropping “layers” within a transect contain more than one individual flow, a distinction that is not visible in satellite images. However, the mean thickness of the layers seen in the orbital data was 0.8 to 1.7 times the outcrop thickness measured in the field, suggesting that the remote measurements should be considered estimates of the outcrop thickness rather than the thickness of individual lava flows.</span></div><div id=\"sp0100\" class=\"u-margin-s-bottom\">Measurements of layered lunar mare lava units in LRO NAC images provided layer thicknesses that ranged from &lt;1–6 times greater than those derived from images of the O'ahu study sites. It is reasonable to expect that many lunar outcrops similarly contain more than one individual flow and display similar outcropping patterns. This suggests that many current estimates of layer thicknesses derived by comparable methods actually correspond to outcrop thicknesses. Current interpretations of<span>&nbsp;</span>lava flow<span>&nbsp;</span>thicknesses derived from planetary images should be considered maximums for individual flow thicknesses with uncertainties that may be as high as a factor of 3 or more.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2020.113853","usgsCitation":"Rumpf, M.E., Needham, H., and Fagents, S.A., 2025, Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs: Icarus, v. 350, 113853, 15 p., https://doi.org/10.1016/j.icarus.2020.113853.","productDescription":"113853, 15 p.","ipdsId":"IP-088728","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":485335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"350","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Needham, Heidi 0000-0003-2201-4959","orcid":"https://orcid.org/0000-0003-2201-4959","contributorId":354375,"corporation":false,"usgs":false,"family":"Needham","given":"Heidi","affiliations":[{"id":38449,"text":"University of Hawai‘i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":935520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":935521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266186,"text":"70266186 - 2025 - Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry","interactions":[],"lastModifiedDate":"2025-04-29T15:08:25.529281","indexId":"70266186","displayToPublicDate":"2019-01-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry","docAbstract":"Use of small spots (≤20µm) for laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) U-Pb zircon geochronology is of increasing interest in the Earth sciences because the temporal record of geologic processes is often preserved on a fine-scale within zircon grains. However the systematic biases and external sources of uncertainity of U-Pb ages is poorly defined when measured on small spots by LA-ICP-single-collector-sector-field (SF)-MS instrumentation. This study addresses the accuracy and precision for small spots and specifically the extent to which short ablation times limit Pb/U Down-Hole Fractionation (DHF), which largely controls the accuracy of the U-Pb ages. Six zircon reference materials (91500, FC-1, R33, Temora 2, Plešovice and Fish Canyon Tuff) were measured on spot sizes of 20, 15, 10 and 7 µm diameter. Laser fluence was increased from 3 to 6 J/cm2 with decreasing spot size to compensate partially for decreasing U and Pb signals. 91500 zircon was the calibration reference material. Raw count rate data were processed using Iolite version 3.63 software with the U-Pb Common Approach data reduction scheme and smoothed cubic spline DHF correction model. Samples were ablated for 30 seconds and results processed for the first 28, 15, 10 and 7 seconds of ablation (masking the initial 2 seconds) in order to assess the accuracy and precision of U-Pb ages as a function of ablation time. Measured 206Pb/238U ratios for the six zircon reference materials increase steadily with ablation time, reflecting DHF, but exhibit somewhat different patterns of increase for different zircons, producing the major source of uncertainty for the U-Pb ages. A secondary source of uncertainty is differences between the 206Pb/238U (normalized to their accepted values) for different zircons near the start of ablation, which may reflect matrix-dependent instrumental mass bias in the ICP. Nonetheless, processing data from only the first 10 to 15 seconds of ablation (50 to 75 laser pulses) restricts the extent of DHF and time-resolved Pb/U variations between different zircons to a sufficient degree to give concordant U-Pb ages on 20 to 7 µm spots that are accurate and precise to better than 1.4% using LA-ICP-single-collector-SF-MS instrumentation.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8ja00321a","collaboration":"Texas Tech University","usgsCitation":"Mukherjee, P., Souders, A., and Sylvester, P., 2025, Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry: Journal of Analytical Atomic Spectrometry, v. 34, no. 1, p. 180-192, https://doi.org/10.1039/c8ja00321a.","productDescription":"13 p.","startPage":"180","endPage":"192","ipdsId":"IP-102052","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":485136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mukherjee, P.","contributorId":206380,"corporation":false,"usgs":false,"family":"Mukherjee","given":"P.","email":"","affiliations":[{"id":13342,"text":"Mesa Community College","active":true,"usgs":false}],"preferred":false,"id":934835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souders, Amanda 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvester, Paul J.","contributorId":353961,"corporation":false,"usgs":false,"family":"Sylvester","given":"Paul J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":934837,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266753,"text":"70266753 - 2025 - Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","interactions":[],"lastModifiedDate":"2025-05-12T14:03:38.358281","indexId":"70266753","displayToPublicDate":"2017-12-01T08:59:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","docAbstract":"<p><span>New data including measured reflectance (%</span><i>R</i><sub>o</sub><span>), programmed open-system pyrolysis data, and kerogen elemental analyses obtained on the Mississippian Barnett Shale in the Fort Worth Basin, Texas, indicate that secondary-gas generation starts at 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and not at the previously prescribed 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>. Oil-cracking kinetic parameters derived from pyrolysis experiments in the presence and absence of water indicate that secondary-gas generation will not occur at a thermal maturity as low as 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and requires a minimum thermal maturity of 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>. This difference is especially important in using the Barnett Shale as an analog for evaluating other possible shale-gas plays. The new reflectance measurements have a good relationship with hydrogen indices (HIs) and compare well with other published data sets. However, the relationship does not compare well with the previously published data used to prescribe 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;as the start of secondary-gas generation in the Barnett Shale. This discrepancy is attributed to differences in measured %</span><i>R</i><sub>o</sub><span>&nbsp;values and not attributed to differences in the HI values. Lack of publicly available information on the previously reported %</span><i>R</i><sub>o</sub><span>&nbsp;values makes it difficult to ascertain the reason for their lower values. These lower %</span><i>R</i><sub>o</sub><span>&nbsp;values also have impact on the previously prescribed relationship for estimating %</span><i>R</i><sub>o</sub><span>&nbsp;from the temperature at maximum yield by programmed open-system pyrolysis (</span><i>T</i><sub>max</sub><span>). As a result, the new data do not agree with a previously described relationship, and the considerable scatter makes the new relationship unreliable. However, the relationship between the HI and %</span><i>R</i><sub>o</sub><span>&nbsp;has less scatter, which indicates that HI offers a better proxy in calculating %</span><i>R</i><sub>o</sub><span>&nbsp;than&nbsp;</span><i>T</i><sub>max</sub><span>&nbsp;for the Barnett Shale. Comparison of various programmed open-system pyrolysis methods (i.e., Rock-Eval II, Rock-Eval 6, Source Rock Analyzer, and Hawk) indicates that variations in HI are within ±10% of one another. An HI of at least 44 mg/g total organic carbon is prescribed as a more certain limit for the start of secondary-gas generation and prospective in situ gas-shale accumulations.</span></p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01251716053","usgsCitation":"Lewan, M., and Pawlewicz, M., 2025, Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas: AAPG Bulletin, v. 101, no. 12, p. 1945-1970, https://doi.org/10.1306/01251716053.","productDescription":"26 p.","startPage":"1945","endPage":"1970","ipdsId":"IP-074437","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Fort Worth basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100,\n              34\n            ],\n            [\n              -100,\n              30.5\n            ],\n            [\n              -96.9,\n              30.5\n            ],\n            [\n              -96.9,\n              34\n            ],\n            [\n              -100,\n              34\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"101","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, M.J.","contributorId":354949,"corporation":false,"usgs":false,"family":"Pawlewicz","given":"M.J.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":936688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262508,"text":"70262508 - 2025 - High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","interactions":[],"lastModifiedDate":"2025-01-17T15:41:36.28869","indexId":"70262508","displayToPublicDate":"2017-08-24T09:30:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16133,"text":"Journal of Volcanology and Geothermal Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High-precision <sup>40</sup>Ar/<sup>39</sup>Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","title":"High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","docAbstract":"<p><span>The Auckland Volcanic Field (AVF), which last erupted ca. 550</span><span>&nbsp;</span><span>years ago, is a late Quaternary monogenetic basaltic volcanic field (ca. 500</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>) in the northern North Island of New Zealand. Prior to this study only 12 out of the 53 identified eruptive centres of the AVF had been reliably dated. Careful sample preparation and&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar analysis has increased the number of well-dated centres in the AVF to 35. The high precision of the results is attributed to selection of fresh, non-vesicular, non-glassy samples from&nbsp;lava flow&nbsp;interiors. Sample selection was coupled with separation techniques that targeted only the groundmass of samples with &lt;</span><span>&nbsp;</span><span>5% glass and with groundmass feldspars &gt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>μm wide, coupled with ten-increment furnace step-heating of large quantities (up to 200</span><span>&nbsp;</span><span>mg) of material. The overall AVF age data indicate an onset at 193.2</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>2.8</span><span>&nbsp;</span><span>ka, an apparent six-eruption flare-up from 30 to 34</span><span>&nbsp;</span><span>ka, and a ≤</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>kyr hiatus between the latest and second-to-latest eruptions. Such non-uniformity shows that averaging the number of eruptions over the life-span of the AVF to yield a mean eruption rate is overly simplistic. Together with large variations in eruption volumes, and the large sizes and unusual chemistry within the latest eruptions (Rangitoto 1 and Rangitoto 2), our results illuminate a complex episodic eruption history. In particular, the rate of&nbsp;volcanism&nbsp;in AVF has increased since 60</span><span>&nbsp;</span><span>ka, suggesting that the field is still in its infancy. Multiple centres with unusual paleomagnetic inclination and declination orientations are confirmed to fit into a number of geomagnetic excursions, with five identified in the Mono Lake, two within the Laschamp, one within the post-Blake or Blake, and two possibly within the Hilina Pali.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.05.033","usgsCitation":"Leonard, G.S., Calvert, A.T., Hopkins, J., Wilson, C., Smid, E., Lindsay, J., and Champion, D.E., 2025, High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations: Journal of Volcanology and Geothermal Resources, v. 343, p. 60-74, https://doi.org/10.1016/j.jvolgeores.2017.05.033.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-083682","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":480735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Auckland Volcanic Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              174.3891787593065,\n              -36.79183242491496\n            ],\n            [\n              174.3891787593065,\n              -37.16080256436752\n            ],\n            [\n              175.00388259163446,\n              -37.16080256436752\n            ],\n            [\n              175.00388259163446,\n              -36.79183242491496\n            ],\n            [\n              174.3891787593065,\n              -36.79183242491496\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leonard, Graham S.","contributorId":127469,"corporation":false,"usgs":false,"family":"Leonard","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":5111,"text":"GNS Science, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Jenni L","contributorId":349547,"corporation":false,"usgs":false,"family":"Hopkins","given":"Jenni L","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":924406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Colin J.N. 0000-0001-7565-0743","orcid":"https://orcid.org/0000-0001-7565-0743","contributorId":205373,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin J.N.","affiliations":[{"id":37090,"text":"Victoria University: Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smid, Elaine R. 0000-0003-1243-8619","orcid":"https://orcid.org/0000-0003-1243-8619","contributorId":349548,"corporation":false,"usgs":false,"family":"Smid","given":"Elaine R.","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Champion, Duane E. 0000-0001-7854-9034","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":345150,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924410,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261981,"text":"70261981 - 2024 - Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","interactions":[],"lastModifiedDate":"2025-01-07T14:54:29.601342","indexId":"70261981","displayToPublicDate":"2025-09-13T08:43:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19881,"text":"Metabarcoding & Metagenomics","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","docAbstract":"<p><span>Unprecedented rates of biodiversity loss and ecosystem function necessitate the use of rapid, efficacious, and cost-effective biomonitoring tools. The combination of autonomous samplers and high throughput sequencing (i.e., “metabarcoding”) of environmental DNA (</span><abbr id=\"ABBRID0EPG\" title=\"environmental DNA\">eDNA</abbr><span>) samples enables characterization of entire communities at high frequency and can be an important tool for conservation and management, allowing researchers to track fluctuations in biodiversity. We deployed two autonomous samplers at two U.S. Geological Survey streamgage sites in the upper Snake River (Wyoming and Idaho, USA) to collect&nbsp;</span><abbr id=\"ABBRID0ETG\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;samples from July-September 2021 and 2022 to characterize fish diversity. We used a probabilistic approach to evaluate the effects of water temperature, water discharge, filter pore size, water volume filtered, number of samples collected, timing, and primers on the probability of detecting&nbsp;</span><abbr id=\"ABBRID0EXG\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;from fish species known to be present. We detected&nbsp;</span><abbr id=\"ABBRID0E2G\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;from 13/15 species present in these areas of the Snake River. Overall, we did not find evidence that filter pore size, water volume filtered, water discharge, and water temperature affected the probability of detecting fish species’&nbsp;</span><abbr id=\"ABBRID0E6G\" title=\"environmental DNA\">eDNA</abbr><span>. By contrast, primers and sampling day affected fish detection probabilities, indicating that primer choice and sampling day can either over- or under- estimate species diversity. These results indicate that users would ideally consider sampling on non-consecutive days and which primer set will maximize species detections.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/mbmg.8.122375","usgsCitation":"Jones-Slobodian, D.N., Augustine, B., Hutchins, P., Birch, J.M., Yamahara, K., Jensen, S.L., Richardson, R.T., Trott, R., Campbell, J., Barnhart, E.P., and Sepulveda, A., 2024, Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities: Metabarcoding & Metagenomics, v. 8, e122375, 23 p., https://doi.org/10.3897/mbmg.8.122375.","productDescription":"e122375, 23 p.","ipdsId":"IP-161729","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/mbmg.8.122375","text":"Publisher Index Page"},{"id":465748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":922532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birch, James M.","contributorId":255728,"corporation":false,"usgs":false,"family":"Birch","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":922534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamahara, Kevan","contributorId":239853,"corporation":false,"usgs":false,"family":"Yamahara","given":"Kevan","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":922535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Scott L.","contributorId":207327,"corporation":false,"usgs":false,"family":"Jensen","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":922536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":922537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":922538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Campbell, James 0000-0002-2760-3149","orcid":"https://orcid.org/0000-0002-2760-3149","contributorId":218045,"corporation":false,"usgs":true,"family":"Campbell","given":"James","email":"","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922539,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922540,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922541,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70268678,"text":"70268678 - 2024 - U.S.-Mexico Borderland & vegetation community map","interactions":[],"lastModifiedDate":"2026-01-16T16:14:40.748506","indexId":"70268678","displayToPublicDate":"2025-06-01T10:10:41","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S.-Mexico Borderland & vegetation community map","docAbstract":"<p><span>People on both sides of the United States-Mexico border need a high-resolution, binational vegetation community map that spans the entire United States-Mexico borderlands. Traditionally, mapping efforts in this region were impeded by complex logistics related to the international border, differing national needs and plans, and resource allocations and priorities. To address this need, scientists from the U.S. Geological Survey (USGS) Southwest Biological Science Center partnered with the Sonoran Joint Venture, the U.S. Fish and Wildlife Service (FWS) Migratory Bird Program, data engineers from the Department of Biosystems Engineering at the University of Arizona, and collaborators from the Wildlands Network, the Borderlands Program to produce the first prototype land cover map within the overlapping Mojave Desert, Sonoran Desert, and the North American Bird Conservation Initiative’s Bird Conservation Region 33 (BCR33) using&nbsp;</span>Landsat satellite data<span>. BCR33 is an area of high biodiversity, providing habitat for bird species of concern and other wildlife. The land cover map supports FWS recovery plan efforts related to conservation planning activities for many species, including Yellow-billed Cuckoo (</span><i>Coccyzus americanus</i><span>), Cactus Ferruginous Pygmy-Owl (</span><i>Glaucidium brasilianum cactorum</i><span>), Southwestern Willow Flycatcher (</span><i>Empidonax traillii extimus</i><span>), Yuma Ridgway’s Rail (</span><i>Rallus obsoletus yumanensis</i><span>), Bendire’s thrasher (</span><i>Toxostoma bendirei</i><span>), LeConte’s thrasher (</span><i>Toxostoma lecontei</i><span>), Masked Bobwhite (</span><i>Colinus virginianus ridgwayi</i><span>), jaguar (</span><i>Panthera onca</i><span>), and endangered plants such as Bartram’s stonecrop (</span><i>Graptopetalum bartramii</i><span>) and the Pima pineapple cactus (</span><i>Coryphantha robustispina ssp. robustispina</i><span>). In 2024, a Phase-II map for the full BCR33 region was completed, increasing the understanding of the binational nature of natural communities. The published map and associated paper can be found&nbsp;</span><a rel=\"noopener\" href=\"https://doi.org/10.3390/rs15051266\" target=\"_blank\" data-mce-href=\"https://doi.org/10.3390/rs15051266\">here</a><span>.</span></p>","language":"English","publisher":"Department of the Interior","usgsCitation":"Nagler, P.L., 2024, U.S.-Mexico Borderland & vegetation community map, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169494","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491564,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/us-mexico-borderland-and-vegetation-community-map"},{"id":498746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Borderland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941624,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264083,"text":"70264083 - 2024 - Estimating occupancy of focal bee species","interactions":[],"lastModifiedDate":"2025-03-06T15:46:28.320936","indexId":"70264083","displayToPublicDate":"2025-03-03T09:39:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20199,"text":"Journal of Melittology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy of focal bee species","docAbstract":"<p><span>Current bee monitoring efforts have a limited capacity for understanding factors affecting wild bee population changes, including the effects of management. To improve the effectiveness of wild bee monitoring, we first discuss principles of biological monitoring and provide a framework to design monitoring projects to estimate species occupancy, where occupancy is defined as the probability that a Sampling Unit or site is occupied by the focal species. Monitoring practitioners should first define the desired goal or question of monitoring and secondly select the appropriate state variable for monitoring (</span><i>e.g</i><span>., species richness, occupancy, abundance). These represent two critical, yet often overlooked, steps in the development of wild bee monitoring projects. As with all forms of demographic monitoring, practitioners who are interested in estimating species occupancy will need to develop a sampling scheme tailored to meet their monitoring objectives. Defining key sampling terms will provide the architecture of their scheme, including the Area of Interest, Sampling Unit, Season, and Replicate Survey. We also highlight data standards, including&nbsp;</span><i>core<span>&nbsp;</span></i><span>data fields that must be collected during Surveys for bee occupancy data and additional,&nbsp;</span><i>recommended</i><span>&nbsp;data fields</span><i>.</i><span>&nbsp;We illustrate how these monitoring concepts are being applied to the design of a real-world monitoring project for the federally endangered rusty patched bumble bee (</span><i>Bombus affinis</i><span>&nbsp;Cresson). This framework was developed in association with the U.S. National Native Bee Monitoring Network.&nbsp;</span></p>","language":"English","publisher":"University of Kansas Libraries","doi":"10.17161/jom.vi123.22555","usgsCitation":"Otto, C., Bailey, L., Du Clos, B., Smith, T., Evans, E., Pearse, I.S., Killingsworth, S., Jepsen, S., and Woodard, H., 2024, Estimating occupancy of focal bee species: Journal of Melittology, https://doi.org/10.17161/jom.vi123.22555.","ipdsId":"IP-168839","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":489970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17161/jom.vi123.22555","text":"Publisher Index Page"},{"id":482972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":929718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du Clos, Brianne","contributorId":243556,"corporation":false,"usgs":false,"family":"Du Clos","given":"Brianne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":929892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Tamara","contributorId":351890,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":929719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Elaine","contributorId":335437,"corporation":false,"usgs":false,"family":"Evans","given":"Elaine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":929893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Killingsworth, Saff","contributorId":352014,"corporation":false,"usgs":false,"family":"Killingsworth","given":"Saff","affiliations":[],"preferred":false,"id":929894,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jepsen, Sarina","contributorId":352015,"corporation":false,"usgs":false,"family":"Jepsen","given":"Sarina","affiliations":[],"preferred":false,"id":929895,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woodard, Hollis","contributorId":351892,"corporation":false,"usgs":false,"family":"Woodard","given":"Hollis","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":929721,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70266285,"text":"70266285 - 2024 - The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","interactions":[],"lastModifiedDate":"2025-05-02T17:42:18.707217","indexId":"70266285","displayToPublicDate":"2025-02-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","docAbstract":"<p><span>Human-caused mortality can be pervasive and even highly selective for individuals in groups of cooperative breeders. Many studies of cooperative breeders, however, do not address human-caused mortality. Similarly, studies focused on the effects of human-caused mortality on wildlife populations often do not consider the ecology of cooperative breeders. We searched the literature and identified 58 studies where human-caused mortality affected a group characteristic, vital rate, or population state of a cooperative breeder. Of studies reporting population growth or decline, 80% reported a link between human-caused mortality and population declines in cooperative breeders. Such studies often did not identify the mechanism behind population declines, but 28% identified concurrent declines in adult survival and another 21% reported concurrent declines in recruitment or reproduction. There was little overlap between the cooperative breeding and human-caused mortality literatures, limiting our ability to accrue knowledge. Future work would be beneficial if it (</span><i>i</i><span>) identified the vital rate(s) causing population declines, (</span><i>ii</i><span>) leveraged management actions such as lethal removal to ask questions about the ecology of group-living in cooperative breeders, and (</span><i>iii</i><span>) used insights from cooperative breeding theory to inform management actions and conservation of group-living species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13133","collaboration":"University of Idaho","usgsCitation":"Ausband, D.E., Rebholz, P.F., and Petrillo, L., 2024, The effects of human-caused mortality on mammalian cooperative breeders: A synthesis: Biological Reviews, v. 100, no. 1, p. 149-157, https://doi.org/10.1111/brv.13133.","productDescription":"9 p.","startPage":"149","endPage":"157","ipdsId":"IP-166733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13133","text":"Publisher Index Page"},{"id":485355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rebholz, Peter F.","contributorId":338402,"corporation":false,"usgs":false,"family":"Rebholz","given":"Peter","email":"","middleInitial":"F.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrillo, Lindsay","contributorId":354308,"corporation":false,"usgs":false,"family":"Petrillo","given":"Lindsay","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262445,"text":"70262445 - 2024 - Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox","interactions":[],"lastModifiedDate":"2025-01-17T16:24:57.018933","indexId":"70262445","displayToPublicDate":"2025-01-17T10:15:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox","docAbstract":"<div class=\"section\"><strong>Context</strong><p id=\"d6e188\">As conversion of natural areas to human development continues, there is a lack of information about how developed areas can sustainably support wildlife. While large predators are often extirpated from areas of human development, some medium-bodied mammalian predators (hereafter, mesocarnivores) have adapted to co-exist in human-dominated areas.</p></div><div class=\"section\"><strong>Aims</strong><p id=\"d6e193\">How human-dominated areas such as residential yards are used by mesocarnivores is not well understood. Our study aimed to identify yard and landscape features that influence occupancy, relative abundance and spatial-temporal overlap of three widespread mesocarnivores, namely, coyote (<i>Canis latrans</i>), grey fox (<i>Urocyon cineroargenteus</i>) and red fox (<i>Vulpes vulpes</i>).</p></div><div class=\"section\"><strong>Methods</strong><p id=\"d6e207\">Over the summers of 2021 and 2022, we deployed camera-traps in 46 and 96 residential yards, spanning from low-density rural areas (&lt;1 home per km<sup>2</sup>) to more urban areas (589 homes per km<sup>2</sup>) in north-western Arkansas, USA.</p></div><div class=\"section\"><strong>Key results</strong><p id=\"d6e218\">We found that mesocarnivore occupancy was marginally influenced by yard-level features as opposed to landscape composition. Fences reduced the occupancy probability of coyotes, although they were positively associated with the total area of potential shelter sites in a yard. We found that relative abundance of grey fox was highest in yards with poultry, highlighting a likely source of conflict with homeowners. We found that all three species were primarily nocturnal and activity overlap between the species pairs was high.</p></div><div class=\"section\"><strong>Conclusions</strong><p id=\"d6e223\">Thus, these species may be using spatio-temporal partitioning to avoid antagonistic encounters and our data supported this, with few examples of species occurring in the same yards during the same 24-h period.</p></div><div class=\"section\"><strong>Implications</strong><p id=\"d6e228\">As the number of residential yards continues to grow, our results suggested that there are ways in which our yards can provide resources to mesocarnivores and that homeowners also have agency to mitigate overlap with mesocarnivores through management of their yard features.</p></div>","language":"English","publisher":"CSIRO","doi":"10.1071/wr23065","usgsCitation":"Johansson, E., and DeGregorio, B.A., 2024, Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox: Wildlife Research, v. 51, WR23065, 14 p., https://doi.org/10.1071/wr23065.","productDescription":"WR23065, 14 p.","ipdsId":"IP-154255","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr23065","text":"Publisher Index Page"},{"id":480744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","city":"Fayetteville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.65765608378254,\n              36.580854422910804\n            ],\n            [\n              -94.61552908234441,\n              36.576255277310395\n            ],\n            [\n              -94.5105609362743,\n              35.87030188707996\n            ],\n            [\n              -93.65209952694099,\n              35.95557154621861\n            ],\n            [\n              -93.65765608378254,\n              36.580854422910804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2024-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Johansson, Emily P.","contributorId":349332,"corporation":false,"usgs":false,"family":"Johansson","given":"Emily P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262524,"text":"70262524 - 2024 - Groundwater/surface-water interaction","interactions":[],"lastModifiedDate":"2025-01-22T16:50:42.818223","indexId":"70262524","displayToPublicDate":"2025-01-10T10:44:12","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"chapter":"2","title":"Groundwater/surface-water interaction","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Groundwater science relevant to the Great Lakes Water Quality Agreement: An updated status report","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"U.S. Environmental Protection Agency and Environment and Climate Change Canada","usgsCitation":"Reeves, H.W., Danielescu, S., Priebe, E., and Zhang, H., 2024, Groundwater/surface-water interaction, 15 p.","productDescription":"15 p.","startPage":"9","endPage":"23","ipdsId":"IP-167804","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":480779,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://binational.net/2025/01/10/groundwater-science-updated-status-report/"},{"id":480933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielescu, Serban","contributorId":349778,"corporation":false,"usgs":false,"family":"Danielescu","given":"Serban","affiliations":[],"preferred":false,"id":924784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Priebe, Elizabeth","contributorId":349779,"corporation":false,"usgs":false,"family":"Priebe","given":"Elizabeth","affiliations":[],"preferred":false,"id":924785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Helen","contributorId":295491,"corporation":false,"usgs":false,"family":"Zhang","given":"Helen","email":"","affiliations":[{"id":63895,"text":"Ontario Ministry of the Environment","active":true,"usgs":false}],"preferred":false,"id":924786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271455,"text":"70271455 - 2024 - Foreword","interactions":[],"lastModifiedDate":"2025-09-16T14:09:46.387264","indexId":"70271455","displayToPublicDate":"2025-01-08T08:59:49","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Foreword","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Phenology: An integrative environmental science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-75027-4","usgsCitation":"Betancourt, J.L., 2024, Foreword, chap. <i>of</i> Phenology: An integrative environmental science, p. v-ix, https://doi.org/10.1007/978-3-031-75027-4.","productDescription":"5 p.","startPage":"v","endPage":"ix","ipdsId":"IP-169750","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":495592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3rd Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":948815,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262206,"text":"70262206 - 2024 - Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds","interactions":[],"lastModifiedDate":"2025-01-15T15:04:12.077019","indexId":"70262206","displayToPublicDate":"2025-01-06T09:01:39","publicationYear":"2024","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":"Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds","docAbstract":"<p><span>Floating photovoltaic (FPV) solar energy offers promise for renewable electricity production that spares land for other societal benefits. FPV deployment may alter greenhouse gas (GHG) production and emissions from waterbodies by changing physical, chemical, and biological processes, which can have implications for the carbon cost of energy production with FPV. Here, we use an ecosystem-scale experiment to assess how GHG dynamics in ponds respond to installation of operationally representative FPV. Following FPV deployments of 70% array coverage, daily whole-pond GHG emissions increased by 26.8% on a carbon dioxide-equivalent (CO</span><sub>2</sub><span>-eq) basis, and dissolved oxygen availability rapidly decreased. Despite increased emissions following FPV deployment, FPV-derived GHG emissions from waterbodies are likely lower than landscape GHG emissions associated with terrestrial solar and hydropower production on a CO</span><sub>2</sub><span>-eq kWh</span><sup>–1</sup><span>&nbsp;basis. Adaptive management strategies like bubbler installation may reduce the magnitude of FPV impacts on GHG and dissolved oxygen dynamics.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c06363","usgsCitation":"Ray, N.E., Holgerson, M., and Grodsky, S.M., 2024, Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds: Environmental Science and Technology, v. 58, no. 50, p. 22104-22113, https://doi.org/10.1021/acs.est.4c06363.","productDescription":"10 p.","startPage":"22104","endPage":"22113","ipdsId":"IP-165832","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466694,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1021/acs.est.4c06363","text":"External Repository"},{"id":466411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"50","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Nicholas E.","contributorId":333311,"corporation":false,"usgs":false,"family":"Ray","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":923502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holgerson, Meredith A.","contributorId":348513,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260994,"text":"70260994 - 2024 - Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations","interactions":[],"lastModifiedDate":"2024-11-20T15:34:27.919637","indexId":"70260994","displayToPublicDate":"2025-01-01T08:25:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations","docAbstract":"The coastal zone is a dynamic region that can change rapidly and significantly with respect to the morphology of the beach and incoming wave conditions. Runup forecasts may be improved by adapting a dynamic approach that allows for different runup models to be implemented in response to changes in beach state. Accurately forecasting wave runup is critical to characterize exposure to coastal hazards and provide an early warning against potential erosion and inundation. Here, we developed a decision tree model to produce a weighted ensemble of existing runup models to predict 1.25 years of runup at Duck, North Carolina, USA. We then applied the calibrated decision tree model to reproduce observed runup during the DUNEX experiment in Pea Island, North Carolina, USA. We found that the decision tree approach yielded a prediction that was comparable or greater in accuracy (i.e. higher r2, lower RMSE) than the individual runup models. We also interrogated the decision tree predictions to determine how the individual models perform relative to each other and why certain models perform better than others under the same observed wave and beach conditions. We found that the decision tree approach drew on the processes represented in the individual models in the ensemble to produce a forecast that is accurate and explainable without relying on prior knowledge of the study site(s) or requiring manual adjustments beyond the initial model training.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2024.104641","usgsCitation":"Itzkin, M., Palmsten, M.L., Buckley, M.L., Birchler, J.J., and Torres-Garcia, L.M., 2024, Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations: Coastal Engineering, v. 195, 104641, 13 p., https://doi.org/10.1016/j.coastaleng.2024.104641.","productDescription":"104641, 13 p.","ipdsId":"IP-156552","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2024.104641","text":"Publisher Index Page"},{"id":464342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.76606524647661,\n              36.204406383193415\n            ],\n            [\n              -75.76606524647661,\n              36.151059222902816\n            ],\n            [\n              -75.73552468770632,\n              36.151059222902816\n            ],\n            [\n              -75.73552468770632,\n              36.204406383193415\n            ],\n            [\n              -75.76606524647661,\n              36.204406383193415\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"195","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Itzkin, Michael 0000-0003-0693-0607","orcid":"https://orcid.org/0000-0003-0693-0607","contributorId":291846,"corporation":false,"usgs":true,"family":"Itzkin","given":"Michael","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birchler, Justin J. 0000-0002-0379-2192 jbirchler@usgs.gov","orcid":"https://orcid.org/0000-0002-0379-2192","contributorId":169117,"corporation":false,"usgs":true,"family":"Birchler","given":"Justin","email":"jbirchler@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":918822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261333,"text":"70261333 - 2024 - Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis","interactions":[],"lastModifiedDate":"2024-12-06T15:15:40.076596","indexId":"70261333","displayToPublicDate":"2025-01-01T08:10:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis","docAbstract":"<p>The increasing threat of post-wildfire hazards creates an imperative for improved post-wildfire flooding and debris flow prediction capabilities. Because rainfall is a primary driver of predictive hydrology and debris flow initiation and inundation models, recent efforts have emphasized the need for interdisciplinary collaboration between meteorology and post-wildfire hazard science that develops more accurate rainfall estimates with longer lead times. In this work, we identified critical knowledge gaps for developing rainfall estimates and filled those gaps by reviewing recent literature and synthesizing pre-existing datasets. Gap areas were organized into the following general topics: a) rainfall intensity-duration-frequency relations, b) time-varying rainfall, c) spatially varying rainfall, and d) rainfall regimes. </p><p>Recent key research advances include the increasing availability of gridded quantitative rainfall estimates, the expanded use of distributed hydrologic and erosion models that incorporate spatial and temporal variability in rainfall, and the linking of concepts and modeling from the atmospheric and climate sciences with post-wildfire hazard science. We prototype a rainfall regime regionalization schema that captures self-similar properties of rainfall intensity (<i>k</i>, the maximum rainfall intensity) and temporal scaling (<i>n</i>, the decay rate). Our <i>k</i>-<i>n</i> relations schema could serve as a framework for organizing, interpreting, and predicting post-wildfire hydrologic and erosional responses. Finally, we summarize salient gaps for implementing spatiotemporally varying rainfall as the driver of post-wildfire hydrologic models designed to improve the prediction of flooding and debris flow hazards to the built environment for emergency managers.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2024.104990","usgsCitation":"Collar, N.M., Moody, J.A., and Ebel, B., 2024, Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis: Earth-Science Reviews, v. 260, 104990, 32 p., https://doi.org/10.1016/j.earscirev.2024.104990.","productDescription":"104990, 32 p.","ipdsId":"IP-164156","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":464885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collar, Natalie M. 0000-0003-4711-0090","orcid":"https://orcid.org/0000-0003-4711-0090","contributorId":306155,"corporation":false,"usgs":false,"family":"Collar","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":66376,"text":"Colorado School of Mines, Department of Civil and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":920406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","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}],"preferred":true,"id":920407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":920408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261548,"text":"70261548 - 2024 - Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales","interactions":[],"lastModifiedDate":"2024-12-13T15:13:03.033614","indexId":"70261548","displayToPublicDate":"2025-01-01T07:58:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales","docAbstract":"Decision makers are often confronted with inadequate information to predict nutrient loads and yields in freshwater ecosystems at large spatial scales. We evaluate the potential of using data mapped at large spatial scales (regional to global) and often coarse resolution to predict nitrogen yields at varying smaller scales (e.g., at the catchment and stream reach level). We applied the SPAtially Referenced Regression On Watershed attributes (SPARROW) model in three regions: the Upper Midwest part of the United States, New Zealand, and the Grande River Basin in southeastern Brazil. For each region, we compared predictions of nitrogen delivery between models developed using novel large-scale datasets and those developed using local-scale datasets. Large-scale models tended to underperform the local-scale models in poorly monitored areas. Despite this, large-scale models are well suited to generate hypotheses about relative effects of different nutrient source categories (point and urban, agricultural, native vegetation) and to identify knowledge gaps across spatial scales when data are scarce. Regardless of the spatial resolution of the predictors used in the models, a representative network of water quality monitoring stations is key to improve the performance of large-scale models used to estimate loads and yields. We discuss avenues of research to understand how this large-scale modelling approach can improve decision making for managing catchments at local scales, particularly in data poor regions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2024.122520","usgsCitation":"Suarez-Castro, A.F., Robertson, D., Lehner, B., de Souza, M.L., Kittridge, M., Saad, D., Linke, S., McDowell, R.W., Ranjbar, M.H., Ausseil, O., and Hamilton, D.P., 2024, Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales: Water Research, v. 268, no. Part A, 122520, 11 p., https://doi.org/10.1016/j.watres.2024.122520.","productDescription":"122520, 11 p.","ipdsId":"IP-164752","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2024.122520","text":"Publisher Index Page"},{"id":465110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, New Zealand, United 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0000-0002-9341-8777","orcid":"https://orcid.org/0000-0002-9341-8777","contributorId":347163,"corporation":false,"usgs":false,"family":"Hamilton","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":83086,"text":"Griffith University, Brisbane, Australia","active":true,"usgs":false}],"preferred":false,"id":920994,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70261890,"text":"sir20245126 - 2024 - Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska","interactions":[],"lastModifiedDate":"2025-07-10T15:28:29.176134","indexId":"sir20245126","displayToPublicDate":"2024-12-31T15:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5126","displayTitle":"Simulating Present and Future Groundwater/Surface-Water Interactions and Stream Temperatures in Beaver Creek, Kenai Peninsula, Alaska","title":"Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska","docAbstract":"<p>In many places, coldwater ecosystems are facing increasing pressure from anthropogenic warming. This study examined stream temperatures and the water balance in the Beaver Creek watershed on the Kenai Peninsula in south-central Alaska—an area that is experiencing rapid warming. Low-gradient streams near the Kenai coast provide important spawning and rearing habitat for salmon but may be especially vulnerable to rising temperatures, because of long residence times, inflows from abundant riparian wetlands, and reliance on groundwater discharge that may also warm, or decrease in volume with rising evapotranspiration. In recent decades, observed maximum 7-day temperatures have consistently exceeded statistical (regression-based) projections. Here we simulate total streamflows and temperatures with a physics-based model that links the Soil Water Balance, MODFLOW 6 and SNTEMP simulation codes on a 7-day timestep. The model is based on existing data and groundwater levels, instream flows, and stream temperatures collected during 2019–23. Future climate scenarios were developed for 2023–50 from downscaled climate projections.</p><p>Results indicate that groundwater discharge is about 64 percent of the total streamflow during the months of May through September. Total streamflow and groundwater discharge are expected to remain similar to current conditions through 2050. Stream temperatures are expected to rise; by midcentury, near the Beaver Creek mouth the model predicts 34 to 63 additional days per year with average weekly temperatures above 13 degrees Celsius, 14 to 81 additional days with average weekly temperatures above 15 degrees Celsius, and routine exceedances of 20 degrees Celsius during the warmest periods. Projected stream temperatures vary spatially. Areas of high groundwater inflows in the lower main stem and some tributaries may be most resilient to warming air temperatures during dry conditions. During storm events, groundwater-dominated tributaries may have the coolest stream temperatures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245126","usgsCitation":"Leaf, A.T., Haserodt, M.J., Meyer, B.E., Westenbroek, S.M., and Koch, J.C., 2024, Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5126, 111 p., https://doi.org/10.3133/sir20245126.","productDescription":"Report: ix, 111 p.; 2 Data Releases; Dataset","numberOfPages":"126","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167012","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":465606,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.XML"},{"id":465583,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UAWGB","text":"USGS data release","linkHelpText":"Surface water and groundwater hydrology and temperature, Beaver Creek, Kenai Peninsula, Alaska, 2022–2023"},{"id":465585,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/national-hydrography/access-national-hydrography-products","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":465584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"http://doi.org/10.5066/P9K30VAP","text":"USGS data release","linkHelpText":"Soil water balance, groundwater flow, and stream temperature models for Beaver Creek, Alaska, 2019 to 2050"},{"id":492014,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118271.htm","linkFileType":{"id":5,"text":"html"}},{"id":465607,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5126/images/"},{"id":465605,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245126/full"},{"id":465582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.pdf","text":"Report","size":"34.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5126"},{"id":465581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5126/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaver Creek, Kenai Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.3330540056542,\n              60.957367731319806\n            ],\n            [\n              -152.38912986860709,\n              59.25155522317334\n            ],\n            [\n              -148.50867874659667,\n              59.25563148250791\n            ],\n            [\n              -148.50867874659667,\n              60.95766646209441\n            ],\n            [\n              -152.3330540056542,\n              60.957367731319806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center/\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, WI 53562</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Site Description and Hydrologic Setting</li><li>Field Data Collection</li><li>Groundwater Flow and Soil-Water-Balance Models </li><li>Stream Temperature Model </li><li>Parameter Estimation</li><li>Model Scenarios</li><li>Results and Discussion</li><li>Assumptions and Limitations</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Glacial Geologic History of the Beaver Creek Basin and Interpretation into Model Layers</li><li>Appendix 2. GFLOW Model</li><li>Appendix 3&nbsp; Soil-Water-Balance Model </li><li>Appendix 4. MODFLOW 6 Model Construction</li><li>Appendix 5. Stream Network Temperature Model Construction </li><li>Appendix 6. Parameter Estimation and Uncertainty Analysis</li><li>Appendix 7. Future Climate Scenarios</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-12-31","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haserodt, Megan J. 0000-0002-8304-090X mhaserodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-090X","contributorId":174791,"corporation":false,"usgs":true,"family":"Haserodt","given":"Megan","email":"mhaserodt@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Benjamin E. 0000-0002-2751-5958","orcid":"https://orcid.org/0000-0002-2751-5958","contributorId":347680,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":82698,"text":"Kenai Watershed Forum","active":true,"usgs":false}],"preferred":false,"id":922167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen, M. 0000-0002-6284-8643","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":206429,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen, M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":922169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270899,"text":"70270899 - 2024 - Wolf harvest management strategy evaluation: Annual Report, 2024","interactions":[],"lastModifiedDate":"2025-08-27T14:40:59.127642","indexId":"70270899","displayToPublicDate":"2024-12-31T09:33:47","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Wolf harvest management strategy evaluation: Annual Report, 2024","docAbstract":"<p>Wolf harvest season setting is complicated and controversial. State law requires Montana Fish, Wildlife and Parks (MFWP) to both reduce the wolf population and avoid federal relisting under the Endangered Species Act (Montana Fish, Wildlife and Parks, 2002). Disparate stakeholder groups each have different objectives for wolf management. For instance, big game advocates want to see improved big game populations and hunting opportunities in northwest Montana, while wolf advocates want to see regulations that minimize wolf mortality. Decision making about season setting tries to balance these objectives. Wolf hunting and trapping season decisions are made by the Montana Fish and Wildlife Commission and are informed by annual wolf abundance estimates from an integrated patch occupancy model (iPOM, Sells et al., 2022c) as well as the predictions of wolf abundance into the future under potential constant harvest levels. Parametric uncertainty (uncertainty surrounding the value of a parameter) from the iPOM estimates is propagated through to future projections, providing the Commission with plausible and worst-case outcomes of different levels of public harvest over the short term, i.e., five years into the future, on the wolf population in Montana (Parks et al., 2024).</p><p>An alternative approach to inform wolf management and harvest decisions is through adaptive management. Adaptative management is appropriate for decisions that are made iteratively and when monitoring data are collected to learn about the outcomes from decisions, where monitoring data help to reduce critical uncertainties regarding ecosystem function or management outcomes (Walters, 1986; Williams, 2011). Management strategy evaluation (MSE) is one way to develop an adaptive management framework. MSE was developed by fisheries managers and scientists to more accurately and fully incorporate various forms of uncertainty, consider long-term time horizons, and add more transparency in a fisheries context (Punt et al., 2016). It has been used routinely and has become a standard approach for complicated and contentious marine fisheries management situations, yet it has been underutilized in wildlife management (but see Bunnefeld et al., 2013, 2011). </p><p>MSE is a forward simulation approach for testing prospective management options or strategies over a wide range of possible states (Punt et al., 2016). A MSE framework captures the ‘truth’ or what is happening in the system (termed the ‘the operating model’) and the information available to the decision makers (termed ‘the estimation model’ or ‘management strategy’). More precisely, there are four main processes modeled. First, models are constructed based on current understanding and data to represent ‘truth’. Second, the collection of monitoring data is simulated from the ‘truth’ model. Third, the simulated monitoring data are fit to an estimation model and the next time step’s population metrics are predicted from the estimated parameters. Fourth, based on the estimation model results and the predictions, the decision-making process is simulated following a management strategy, whereby a decision is made and the implementation of this decision feeds back into the ‘truth’ model (Figure 1). This process continues through time. Additionally, each simulation through time is repeated to capture the full range of stochasticity and uncertainty. </p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Montana Fish, Wildlife and Parks","usgsCitation":"Sipe, H., Sells, S.N., Gude, J., Podruzny, K.M., and Parks, M., 2024, Wolf harvest management strategy evaluation: Annual Report, 2024, 22 p.","productDescription":"22 p.","ipdsId":"IP-174234","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494943,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fwp.mt.gov/conservation/wildlife-management/wolf","linkFileType":{"id":5,"text":"html"}}],"country":"United 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M.","contributorId":85865,"corporation":false,"usgs":true,"family":"Podruzny","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":947331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parks, Molly","contributorId":360631,"corporation":false,"usgs":false,"family":"Parks","given":"Molly","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":947332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272772,"text":"70272772 - 2024 - Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry","interactions":[],"lastModifiedDate":"2025-12-08T16:19:12.893213","indexId":"70272772","displayToPublicDate":"2024-12-31T09:15:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Patterns of phytochemistry localisation in plant tissues are diverse within and across leaves. These spatial heterogeneities are important to the fitness of herbivores, but their effects on herbivore foraging and dietary experience remain elusive. We manipulated the spatial variance and clusteredness of a plant toxin in a synthetic diet landscape on which individual caterpillars fed. We monitored caterpillars with cameras across most of their larval development. Caterpillars that fed on diets with a lower spatial variance and more clustered arrangement of toxins had overall worse performance, mostly because those caterpillars ate less, moved more, ingested more toxin, or failed to physiologically acclimate. Using empirically parameterised individual-based models, we found that differences in movement away from, not towards, less toxic food drove a body size-dependent effect of clusteredness. Hence, the spatial pattern of phytochemicals itself, beyond mean concentration, can have important consequences for herbivores through complex interactions with herbivore foraging.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70044","usgsCitation":"Pan, V.S., Ghosh, E., Ode, P.J., Wetzel, W.C., Gilbert, K.J., and Pearse, I.S., 2024, Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry: Ecology Letters, v. 28, no. 1, e70044, 12 p., https://doi.org/10.1111/ele.70044.","productDescription":"e70044, 12 p.","ipdsId":"IP-171430","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70044","text":"Publisher Index Page"},{"id":497197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pan, Vincent S. 0000-0001-9892-7805","orcid":"https://orcid.org/0000-0001-9892-7805","contributorId":332717,"corporation":false,"usgs":false,"family":"Pan","given":"Vincent","middleInitial":"S.","affiliations":[{"id":79600,"text":"Department of Integrative Biology, Michigan State University, 288 Farm Lane, East Lansing, Michigan, USA 48824","active":true,"usgs":false}],"preferred":false,"id":951695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghosh, Enakshi","contributorId":363457,"corporation":false,"usgs":false,"family":"Ghosh","given":"Enakshi","affiliations":[{"id":80402,"text":"Colorado State U","active":true,"usgs":false}],"preferred":false,"id":951696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ode, Paul J.","contributorId":197314,"corporation":false,"usgs":false,"family":"Ode","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":951697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetzel, William C.","contributorId":229437,"corporation":false,"usgs":false,"family":"Wetzel","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":41642,"text":"Michigan State U","active":true,"usgs":false}],"preferred":false,"id":951698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilbert, Kadeem J.","contributorId":342370,"corporation":false,"usgs":false,"family":"Gilbert","given":"Kadeem","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":951699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951700,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270667,"text":"70270667 - 2024 - Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish","interactions":[],"lastModifiedDate":"2025-08-22T14:14:43.752446","indexId":"70270667","displayToPublicDate":"2024-12-31T09:05:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-164-2024","displayTitle":"Environmental DNA reveals invasion of Puerto Rican waterways by non-native <i>Clarias</i> catfish","title":"Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish","docAbstract":"<p><span>The Sharptooth walking catfish (<i>Clarias gariepinus</i>) is native to parts of the Middle East, Asia, and Africa but is one of the world's most invasive freshwater fish species. The species’ ability to invade is partly due to its ability to breathe atmospheric oxygen, thereby avoiding hypoxia or poor water quality in receiving waterbodies; further, it can crawl over moist land to disperse to new systems. In 2018, two individuals purported to be Sharptooth walking catfish were collected and identified within the Canal de Patillas, a canal in the Guayama municipality in southeastern Puerto Rico. Several other specimens were also collected the following year. Given that this invasion was in its infancy, environmental DNA (eDNA) surveillance was employed as a rapid and efficient surveillance tool to help delineate the extent of this invasion. Water samples were collected and analyzed for <i>Clarias</i> eDNA from 66 sites encompassing a wide range of habitats in canals, lakes, and a river surrounding the area where they were first reported. Using eDNA-metabarcoding, we detected <i>Clarias</i> eDNA at 40 of the 63 sites throughout the sampled waterbodies. Furthermore, our molecular analysis indicated that the Whitespotted Clarias (<i>C. fuscus</i>) is the likely invader, and the original specimens, classified as <i>C. gariepinus</i>, were misidentified based on the use of morphological rather than genetic features for species classification. Environmental DNA surveillance indicated that the distribution of <i>Clarias</i> catfish in this system is substantially more extensive than previously documented. These findings suggest that additional survey efforts could help determine the invasion's full spatial extent and leading edge to inform the scope and scale of any potential management responses.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css20629765","usgsCitation":"Paine, R.T., Rogers, M.W., and Rosenberger, A.E., 2024, Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish: Cooperator Science Series CSS-164-2024, ii, 27 p., https://doi.org/10.3996/css20629765.","productDescription":"ii, 27 p.","ipdsId":"IP-173700","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266181,"text":"70266181 - 2024 - Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California","interactions":[],"lastModifiedDate":"2025-04-29T14:07:48.72537","indexId":"70266181","displayToPublicDate":"2024-12-31T09:03:52","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California","docAbstract":"Mammoth Lakes, California hosts a productive hydrothermal system within the seismically active south moat of Long Valley Caldera. Surficial evidence of the shallow hydrothermal system includes discrete zones of tree-kill dispersed between Shady Rest Park and the Casa Diablo Geothermal Power Plant (40 MW), as well as east of the power plant. The tree-kill areas are associated with elevated diffuse CO₂ emissions, heated ground, hydrothermal alteration, diffuse soil H₂S emissions, and gas vents. Previous mapping delineates prominent north and northwest trending structures within the south moat along the southwestern edge of the resurgent dome that may accommodate gas and fluid flow at the Shady Rest Park and Basalt Canyon Tree Kill Areas (SRTKA and BCTKA, respectively). Both tree-kill areas are also located along contacts between resurgent rhyolite, mafic lavas, and surficial deposits which may provide additional pathways for gas and fluid migration in the shallow subsurface.\nCharacterizing structure and lithology using geophysical anomalies is critical to determining primary structural controls on the hydrothermal system and the extent of subsurface alteration at these sites. We conducted ground and airborne-based potential field geophysical surveys to map gravity and magnetic anomalies. These anomalies are then used to model subsurface geology, structure, and hydrothermal alteration. Here we present our preliminary geophysical mapping and modelling results at both tree-kill locations. Gravity and magnetic data suggest complex structural intersections are coincident with heated ground and gas emissions at the SRTKA and BCTKA. Hydrothermal systems are often observed or interpreted to exploit fault intersections which can serve as highly permeable pathways for hydrothermal fluid and gas discharge, enabling economic geothermal energy production. Geophysical mapping and modelling are an effective means of investigating such structural complexity at Mammoth Lakes due to the presence of unidentified and concealed structures.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to Save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising Conference (GRC)","usgsCitation":"Anderson, J.E., Glen, J.M., Bouligand, C., Rea-Downing, G.H., and Earney, T.E., 2024, Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California, <i>in</i> Using the Earth to Save the Earth, v. 48, p. 1613-1639.","productDescription":"17 p.","startPage":"1613","endPage":"1639","ipdsId":"IP-169794","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":485127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":485121,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035013"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Lakes","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Jacob Elliott 0000-0002-0709-2548","orcid":"https://orcid.org/0000-0002-0709-2548","contributorId":329989,"corporation":false,"usgs":true,"family":"Anderson","given":"Jacob","email":"","middleInitial":"Elliott","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouligand, Claire 0000-0002-2923-1780","orcid":"https://orcid.org/0000-0002-2923-1780","contributorId":345142,"corporation":false,"usgs":false,"family":"Bouligand","given":"Claire","email":"","affiliations":[{"id":82499,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc","active":true,"usgs":false}],"preferred":false,"id":934810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rea-Downing, Grant Harold 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333087,"corporation":false,"usgs":true,"family":"Rea-Downing","given":"Grant","email":"","middleInitial":"Harold","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271332,"text":"70271332 - 2024 - Don’t move a mussel: The role of key environmental drivers and management scale in assessing spatial variation in dreissenid spread risk in the Missouri River Basin","interactions":[],"lastModifiedDate":"2025-09-05T15:31:48.53114","indexId":"70271332","displayToPublicDate":"2024-12-31T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Don’t move a mussel: The role of key environmental drivers and management scale in assessing spatial variation in dreissenid spread risk in the Missouri River Basin","docAbstract":"The spread of non-native freshwater mussels in North America is a growing threat that has already resulted in substantial ecological and economic damage to infested areas. A primary vector by which invasive mussels spread is watercraft that are transported over land from an infested waterbody to an uninfested waterbody. Management efforts such as watercraft inspection and detection programs that attempt to intercept infected watercraft can help limit this type of spread, but optimizing the effectiveness of these programs under limited resources is complicated. Studies have looked at developing watercraft inspection and decontamination program strategies that focus on policy-specific objectives such as maximizing the number of infested watercraft interceptions. However, there is limited work that has considered the heterogeneous impact of protection efforts across different regions and waterbodies. Knowledge about this heterogeneity can highlight regions that would benefit the most from protection as well as regions that would require less effort to protect, e.g., areas with naturally unsuitable water quality for dreissenids. To this end, we construct a composite relative risk index (CRR) for watersheds within the Missouri River Basin, a region in the United States on the front line of dreissenid spread. The CRR uses a model that mirrors an expected value model but uses relative indexing as a proxy for the model components. The CRR incorporates a wide array of data sets to account for the direct and indirect damages from a potential infestation along with the risk of an infestation occurring. Our results suggest that the relative priority of a specific watershed—measured through CRR—can depend on whether we consider the entire Missouri River Basin or just the watersheds in the same state. This also indicates substantial state-level heterogeneity in the CRR. Another contribution is that the CRR index includes user-specified weights for certain parameters so that a user can adjust the relative importance of various factors to match their specific context. An accompanying web tool allows users to view the CRR results and adjust multiple parameters to see the resulting impacts on the CCR for watersheds in the Missouri River Basin.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112526","usgsCitation":"Raymond, J., Bair, L., Counihan, T., Daniel, W., Duntugan, S., Neilson, M., and Springborn, M.R., 2024, Don’t move a mussel: The role of key environmental drivers and management scale in assessing spatial variation in dreissenid spread risk in the Missouri River Basin: Ecological Indicators, v. 170, 112526, 14 p., https://doi.org/10.1016/j.ecolind.2024.112526.","productDescription":"112526, 14 p.","ipdsId":"IP-160154","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495378,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112526","text":"Publisher Index 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0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":948067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214505,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duntugan, Sofie","contributorId":360981,"corporation":false,"usgs":false,"family":"Duntugan","given":"Sofie","affiliations":[{"id":86140,"text":"formerly: US Geological Survey, Western Fisheries Research Center, Seattle, WA 98115","active":true,"usgs":false}],"preferred":false,"id":948069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":214507,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":948071,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70270709,"text":"70270709 - 2024 - The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes","interactions":[],"lastModifiedDate":"2025-08-22T16:04:03.7593","indexId":"70270709","displayToPublicDate":"2024-12-31T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5290,"text":"Freshwater Crayfish","active":true,"publicationSubtype":{"id":10}},"title":"The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes","docAbstract":"<p>The stygobitic Caney Mountain cave crayfish, <i>Orconectes stygocaneyi</i>, is among the rarest crayfish species in North America. It is known only from Mud Cave, a small linear cave on the 3,200 ha Caney Mountain Conservation Area in Ozark County, Missouri. The species is listed as “Endangered” by the state of Missouri, and “Threatened” by the American Fisheries Society. Previous studies documented its population range and limited life history notes; but little is known about Mud Cave’s habitat. We conducted a one-year study to document the cave’s water chemistry, quality, and interior wetted pool volume, and how this habitat varies monthly, to establish a baseline for future study.</p>","language":"English","publisher":"International Association of Astacology","doi":"10.5869/fc.2024.v29-1.121","collaboration":"Missouri Department of Conservation","usgsCitation":"Ellingsworth, E.A., DiStefano, R., Westhoff, J.T., and O'Brian, B., 2024, The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes: Freshwater Crayfish, v. 29, no. 1, p. 121-132, https://doi.org/10.5869/fc.2024.v29-1.121.","productDescription":"12 p.","startPage":"121","endPage":"132","ipdsId":"IP-166086","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Ozark County","otherGeospatial":"Caney Mountain Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.45151688083625,\n              36.66449702263134\n            ],\n            [\n              -92.45151688083625,\n              36.625266091515115\n            ],\n            [\n              -92.40079722946713,\n              36.625266091515115\n            ],\n            [\n              -92.40079722946713,\n              36.66449702263134\n            ],\n            [\n              -92.45151688083625,\n              36.66449702263134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellingsworth, Emila A.","contributorId":360156,"corporation":false,"usgs":false,"family":"Ellingsworth","given":"Emila","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, R.J.","contributorId":360159,"corporation":false,"usgs":false,"family":"DiStefano","given":"R.J.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westhoff, Jacob Thomas 0000-0002-2347-5098","orcid":"https://orcid.org/0000-0002-2347-5098","contributorId":288958,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"Thomas","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Brian, B.M.","contributorId":360164,"corporation":false,"usgs":false,"family":"O'Brian","given":"B.M.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274212,"text":"70274212 - 2024 - Community synchrony in seed production is associated with trait similarity and climate across North America","interactions":[],"lastModifiedDate":"2026-03-13T15:03:12.321279","indexId":"70274212","displayToPublicDate":"2024-12-31T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Community synchrony in seed production is associated with trait similarity and climate across North America","docAbstract":"Mast seeding, the synchronous and highly variable production of seed crops in perennial plants, is a population level phenomenon and has cascading effects in ecosystems. Mast seeding studies are typically conducted at the population/species level. Much less is known about synchrony in mast seeding between species because the necessary long-term data are rarely available. To investigate synchrony between species within communities, we used long-term data from seven forest communities in the US Long-Term Ecological Research (LTER) network, ranging from tropical rainforest to taiga. We focus on cross-species synchrony and i) quantify synchrony in reproduction overall and within LTER sites, ii) test for relationships between synchrony with trait and phylogenetic similarity, and iii) investigate how climate conditions are related to levels of synchrony. Overall, synchrony in reproduction between woody plant species was greater than expected by chance, but also spanned a wide range of values between species. Based on 11 traits for 103 species (plus phylogenetic relatedness), cross-species synchrony in reproduction was driven primarily by trait similarity with phylogeny being largely unimportant, and synchrony was higher in sites with greater climatic water deficit. Synchronous masting within a community has consequences for understanding forest regeneration dynamics and consumer-resource interactions.","language":"English","publisher":"Wiley","doi":"10.1111/ele.14498","usgsCitation":"LaMontagne, J.M., Greene, D.F., Holland, E., Johnstone, J.F., Schulze, M., Zimmerman, J.K., Lyon, N.J., Chen, A., Miller, T.E., Nigro, K.M., Snell Rebecca S., Barton, J.H., Chaudhary, V., Cleavitt, N.L., Crone, E., Koenig, W.D., Macias, D., Pearse, I.S., and Redmond, M.D., 2024, Community synchrony in seed production is associated with trait similarity and climate across North America: Ecology Letters, v. 27, no. 12, e14498, 15 p., https://doi.org/10.1111/ele.14498.","productDescription":"e14498, 15 p.","ipdsId":"IP-162505","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14498","text":"Publisher Index Page"},{"id":501146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -174.57469846241375,\n              59.07732223048754\n            ],\n            [\n              -132.94118629888828,\n              46.634323740727496\n            ],\n            [\n              -102.87615155066331,\n              14.159655778644463\n            ],\n            [\n              -86.60507271467972,\n              18.528872570028568\n            ],\n            [\n              -76.70651169792454,\n              26.155075649047504\n            ],\n            [\n              -55.08810680677202,\n              45.22442345962252\n            ],\n            [\n              -93.39098226670879,\n              53.00878959626715\n            ],\n            [\n              -134.4869880449841,\n              65.05021822139254\n            ],\n            [\n              -154.62493341933438,\n              66.11219190375385\n            ],\n            [\n              -174.57469846241375,\n              59.07732223048754\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"LaMontagne, Jalene M.","contributorId":223096,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene","middleInitial":"M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":957043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, David F.","contributorId":302454,"corporation":false,"usgs":false,"family":"Greene","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, E. Penelope","contributorId":367192,"corporation":false,"usgs":false,"family":"Holland","given":"E. Penelope","affiliations":[{"id":87596,"text":"U York","active":true,"usgs":false}],"preferred":false,"id":957045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnstone, Jill F.","contributorId":367203,"corporation":false,"usgs":false,"family":"Johnstone","given":"Jill","middleInitial":"F.","affiliations":[{"id":17775,"text":"U Alaska","active":true,"usgs":false}],"preferred":false,"id":957046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schulze, Mark","contributorId":192221,"corporation":false,"usgs":false,"family":"Schulze","given":"Mark","email":"","affiliations":[],"preferred":false,"id":957047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Jess K.","contributorId":196419,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jess","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":957048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyon, Nicholas J.","contributorId":367204,"corporation":false,"usgs":false,"family":"Lyon","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":28104,"text":"NCEAS","active":true,"usgs":false}],"preferred":false,"id":957049,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chen, Angel","contributorId":345830,"corporation":false,"usgs":false,"family":"Chen","given":"Angel","affiliations":[{"id":65228,"text":"National Center for Ecological Analysis and Synthesis","active":true,"usgs":false}],"preferred":false,"id":957050,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Tom E.X.","contributorId":367205,"corporation":false,"usgs":false,"family":"Miller","given":"Tom","middleInitial":"E.X.","affiliations":[{"id":48394,"text":"Rice U","active":true,"usgs":false}],"preferred":false,"id":957051,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nigro, Katherine M.","contributorId":189487,"corporation":false,"usgs":false,"family":"Nigro","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":957052,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Snell Rebecca S.","contributorId":367206,"corporation":false,"usgs":false,"family":"Snell Rebecca S.","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":957053,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Barton, Jessica H.","contributorId":302438,"corporation":false,"usgs":false,"family":"Barton","given":"Jessica","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":957054,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chaudhary, V. Bala","contributorId":367187,"corporation":false,"usgs":false,"family":"Chaudhary","given":"V. Bala","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":957055,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cleavitt, Natalie L.","contributorId":303063,"corporation":false,"usgs":false,"family":"Cleavitt","given":"Natalie","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957056,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Crone, Elizabeth E.","contributorId":352543,"corporation":false,"usgs":false,"family":"Crone","given":"Elizabeth E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":957057,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Koenig, Walter D.","contributorId":367208,"corporation":false,"usgs":false,"family":"Koenig","given":"Walter","middleInitial":"D.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":957058,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Macias, Diana","contributorId":256880,"corporation":false,"usgs":false,"family":"Macias","given":"Diana","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":957059,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957060,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Redmond, Miranda D.","contributorId":225094,"corporation":false,"usgs":false,"family":"Redmond","given":"Miranda","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":957061,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70261830,"text":"ofr20241080 - 2024 - Hydrologic investigations and a preliminary conceptual model of the groundwater system at North Penn Area 1 Superfund Site, Souderton, Montgomery County, Pennsylvania","interactions":[],"lastModifiedDate":"2025-08-15T16:08:29.355622","indexId":"ofr20241080","displayToPublicDate":"2024-12-30T12:40:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1080","displayTitle":"Hydrogeologic Investigations and a Preliminary Conceptual Model of the Groundwater System at North Penn Area 1 Superfund Site, Souderton, Montgomery County, Pennsylvania","title":"Hydrologic investigations and a preliminary conceptual model of the groundwater system at North Penn Area 1 Superfund Site, Souderton, Montgomery County, Pennsylvania","docAbstract":"<p>The U.S. Geological Survey (USGS) conducted hydrogeologic investigations, reviewed existing data, and developed a preliminary conceptual model of the groundwater system as part of technical support of the U.S. Environmental Protection Agency (EPA) at the North Penn Area 1 Superfund Site (hereafter, the NP1 Site) located within the Borough of Souderton in Montgomery County, Pennsylvania. Field work and monitoring took place during 2012–18. The area is underlain by sedimentary formations that form a fractured-rock aquifer used for drinking water and industrial supply. The EPA placed the Site on the National Priorities List in 1989, identifying tetrachloroethylene (PCE) and trichloroethylene (TCE) as contaminants of concern.</p><p>During 2012–18, the USGS conducted field activities that included drilling an 82-foot (ft)-deep monitoring well (MG 2220) in 2016, reconstructing a 208-ft-deep former industrial production well (MG 668 [Granite Knitting Mill]), and collecting borehole geophysical and video logs and water levels from those and five additional wells, which ranged in depth from about 50 to 200 ft below land surface. Continuous water levels were collected during 2014–17, and a synoptic set of water levels were measured in April 2018 in the seven wells.</p><p>The borehole geophysical logs (caliper, acoustic televiewer, natural gamma, single-point resistance, vertical flow, and fluid temperature and resistivity) and borehole video logs in the seven wells were evaluated to assess potential for lithologic correlation and to identify and describe water-bearing features, which included both low- and high-angle fractures and other openings oriented along dipping bedding planes, joints, or possible faults. Borehole geophysical logs collected by USGS in 1992 in a 300-ft-deep former production well near the Site were also evaluated. Few to no distinctive features were identified on geophysical logs (natural gamma and single-point resistance) that could be used for correlation, thus limiting this approach to determining local geologic structure. Extensive fracturing in the upper 62 ft of monitoring well MG 2220 indicates that the well was likely drilled through a zone of faulting, and other evidence of faulting is present in the area near the Site. Assessment of continuous water levels showed hydraulic connections among some wells as indicated by rising or falling water levels in response to changes in pumping rates at nearby wells. A map of water levels measured in April 2018 indicates potential for groundwater flow generally toward the stream to the south and southwest of the Site, but the limited water-level data are insufficient to describe vertical groundwater gradients or lateral gradients in any detail.</p><p>Review of 1999–2022 volatile organic compound (VOC) monitoring data collected by the Pennsylvania Department of Environmental Protection for five monitoring wells indicates that the highest groundwater concentrations of PCE and TCE were found in samples from extraction well MG 2201 (S-1) downgradient from, and nearest to, the previously identified Site contaminant source area, and these concentrations fluctuated through time. PCE concentrations were higher than TCE concentrations in samples from all five monitoring wells and were much higher than TCE concentrations in samples from extraction well MG 2201 (S-1). Temporally variable recharge is a possible factor affecting observed fluctuations in PCE concentrations in groundwater samples from well extraction MG 2201 (S-1), as indicated by a general inverse relation between PCE concentrations and water levels in a nearby long-term observation well. The PCE concentration of 1,830 micrograms per liter (μg/L) in a May 2018 water sample from monitoring well MG 2220 was more than four times the PCE concentration of 444 μg/L in a December 2017 sample from the nearby extraction well MG 2201 (S-1), which is open to fewer fractures. Low concentrations of VOCs were measured in surface water at two stream sites downgradient from wells with the highest groundwater VOC concentrations at the Site, indicating that discharge of contaminated groundwater to the stream is likely.</p><p>Development of a conceptual model of the groundwater system was constrained by limited data. In areas with no pumping, groundwater-flow directions generally are thought to be controlled by topography and geologic structure (bedding orientation) and likely to the south and southwest of the Site, with local flow directions affected by orientations of fractures, joints, and local faults. Additional investigations that could help improve the conceptual model of the groundwater system and help delineate the extent of groundwater contamination and its transport are discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241080","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., Risser, D.W., Goode, D.J., and Bird, P.H., 2024, Hydrologic investigations and a preliminary conceptual model of the groundwater system at North Penn Area 1 Superfund Site, Souderton, Montgomery County, Pennsylvania: U.S. Geological Survey Open-File Report 2024–1080, 78 p., https://doi.org/10.3133/ofr20241080.","productDescription":"xi, 78 p.","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151018","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":494216,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118273.htm","linkFileType":{"id":5,"text":"html"}},{"id":465486,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1080/ofr20241080.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1080 XML"},{"id":465485,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241080/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1080 HTML"},{"id":465479,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1080/images/"},{"id":465476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1080/ofr20241080.pdf","text":"Report","size":"18.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1080 PDF"},{"id":465475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1080/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Montgomery County","city":"Souderton","otherGeospatial":"North Penn Area 1 Superfund Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.33380565402877,\n              40.30337215850042\n            ],\n            [\n              -75.33067431094733,\n              40.30297414782885\n            ],\n            [\n              -75.32310689850118,\n              40.30864557850933\n            ],\n            [\n              -75.32121504538941,\n              40.31133187946756\n            ],\n            [\n              -75.32415067952832,\n              40.31496319053656\n            ],\n            [\n              -75.33002194780529,\n              40.3133714069823\n            ],\n            [\n              -75.33432754454195,\n              40.307053646040714\n            ],\n            [\n              -75.33380565402877,\n              40.30337215850042\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pennsylvania-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/pennsylvania-water-science-center\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, Pennsylvania 17070</p>","tableOfContents":"<ul><li>Introduction</li><li>Hydrogeologic Investigations</li><li>Conceptual Model of the Groundwater System</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. 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,{"id":70261707,"text":"sim3528 - 2024 - Geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon","interactions":[],"lastModifiedDate":"2025-08-15T16:07:15.698819","indexId":"sim3528","displayToPublicDate":"2024-12-30T12:23:03","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3528","displayTitle":"Geologic Map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon","title":"Geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon","docAbstract":"<p>New geologic mapping (Wells and others, 2020b) and geophysical mapping (Blakely and others, 2000; McPhee and others, 2014; Wells and others, 2020a) document kilometers of Cenozoic right-lateral offset along the Gales Creek Fault Zone, a major, northwest-striking fault zone forming the boundary between the Tualatin Valley and the Coast Range. The Bureau of Reclamation’s (Reclamation) Scoggins Dam (fig. 1), in the Coast Range foothills west of Forest Grove, Oregon, lies within the Gales Creek Fault Zone as mapped by Wells and others (2020a, 2020b; fig. 2).&nbsp;</p><p>Active faults of the Gales Creek Fault Zone defined by paleoseismic trenching (Redwine and others, 2017, 2019b, Horst and others, 2018, 2019, 2021, and Wells and others, 2020a) are presently mapped as projecting through the existing dam. The Pacific Northwest Region of Reclamation requested assistance with geologic studies around Scoggins Dam to provide better understanding of fault locations and their activity, which are needed to design a modification of the dam (Maguire, 2019a, b). The scope of this project includes detailed geology of the existing Scoggins Dam site, Henry Hagg Lake, the reservoir behind the dam, and Scoggins Valley downstream of the existing dam, particularly around a potential new dam site, where Scoggins Creek cuts through a narrow gap formed by a resistant felsic tuff bed that crosses the valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3528","collaboration":"Bureau of Reclamation, Clean Water Services","usgsCitation":"Wells, R.E., Bennett, S.E.K., Redwine, J.R., Staisch, L.M., Holm-Denoma, C.S., and Mahan, S.A., 2024, Geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon: U.S. Geological Survey Scientific Investigations Map 3528, 4 sheets, scales 1:2,000 and, 1:12,000, 37 p. pamphlet, https://doi.org/10.3133/sim3528.","productDescription":"Pamphlet: x, 37 p.; 4 Sheets: 43.91 x 34.01 inches or smaller; 3 Data Releases","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-121928","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":494215,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118270.htm","linkFileType":{"id":5,"text":"html"}},{"id":465359,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91ZSKV3","text":"USGS Data Release","description":"Pianowski, L.S., Holm-Denoma, C.S., Staisch, L.M., and Wells, R.E., 2023, U-Pb zircon data for Cenozoic clastic and volcaniclastic units deformed along the Gales Creek Fault Zone, northwestern Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P91ZSKV3.","linkHelpText":"U-Pb zircon data for Cenozoic clastic and volcaniclastic units deformed along the Gales Creek Fault Zone, northwestern Oregon"},{"id":465358,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PVK0Q3","text":"USGS Data Release","description":"Mahan, S.A., Krolczyk, E.T., and Redwine, J., 2022, Data Release for Luminescence; Geologic map of Scoggins Dam, Henry Hagg Lake, and the Scoggins Valley area, Washington County, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P9PVK0Q3.","linkHelpText":"Data Release for Luminescence; Geologic map of Scoggins Dam, Henry Hagg Lake, and the Scoggins Valley area, Washington County, Oregon"},{"id":465357,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M5300X","text":"USGS Data Release","description":"Wells, R.E., Bennett, S.E.K., Redwine, J.R., Staisch, L.M., Holm-Denoma, C.S., and Mahan, S.A.,2024, Digital data for the geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P9M5300X.","linkHelpText":"Digital data for the geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon"},{"id":465356,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3528/sim3528_pamphlet.pdf","text":"Pamphlet","size":"53 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465355,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3528/sim3528_sheet4.pdf","text":"Sheet 4","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Cross Sections of the Option 3 Dam Site"},{"id":465354,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3528/sim3528_sheet3.pdf","text":"Sheet 3","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of the Option 3 Dam Site"},{"id":465353,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3528/sim3528_sheet2.pdf","text":"Sheet 2","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of Scoggins Dam"},{"id":465352,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3528/sim3528_sheet1.pdf","text":"Sheet 1","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon"},{"id":465351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3528/covrthb.jpg"}],"country":"United States","state":"Oregon","county":"Washington County","otherGeospatial":"Henry Hagg Lake, Scoggins Dam, Scoggins Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.30887944247891,\n              45.55096796789627\n            ],\n            [\n              -123.30887944247891,\n              45.44121330051283\n            ],\n            [\n              -123.1570053249566,\n              45.44121330051283\n            ],\n            [\n              -123.1570053249566,\n              45.55096796789627\n            ],\n            [\n              -123.30887944247891,\n              45.55096796789627\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>350 N. Akron Rd.<br>Moffett Field, CA 94035</p>","tableOfContents":"<div id=\"gmail-field-customfield_11911\" class=\"gmail-twixi-block expanded\"><div class=\"gmail-twixi-wrap gmail-verbose\"><ul><li>Executive Summary</li><li>Acknowledgments</li><li>Introduction</li><li>Scoggins Valley Fault</li><li>Parsons Creek Fault</li><li>Structures at Scoggins Dam and around the Reservoir</li><li>Faulting in Scoggins Valley</li><li>Deep-Seated Landslides and Moveable Blocks</li><li>Discussion</li><li>Summary</li><li>Description of Map Units</li><li>References Cited</li></ul></div></div>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-12-30","noUsgsAuthors":false,"publicationDate":"2024-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":149772,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","email":"rwells@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":921521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":921522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redwine, Joanna R.","contributorId":138572,"corporation":false,"usgs":false,"family":"Redwine","given":"Joanna","email":"","middleInitial":"R.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":921523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":921525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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