{"pageNumber":"14","pageRowStart":"325","pageSize":"25","recordCount":40758,"records":[{"id":70272160,"text":"70272160 - 2025 - Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","interactions":[],"lastModifiedDate":"2025-11-18T15:20:15.149263","indexId":"70272160","displayToPublicDate":"2025-10-23T08:15:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","docAbstract":"<p><span>Tropical peatlands, which store 20% of global peat carbon, are increasingly threatened by conversion to alternative land-uses such as oil palm plantations, pulp wood plantations, crop growth or other economic activities. This transformation involves peatland drainage, which lowers water tables, exposes peat to oxygen, and alters greenhouse gas (GHG) emissions: increasing carbon dioxide (CO</span><sub>2</sub><span>) and nitrous oxide (N</span><sub>2</sub><span>O) fluxes while reducing methane (CH</span><sub>4</sub><span>) emissions from soils. However, drainage ditches created in the process may become significant sources of CH</span><sub>4</sub><span>&nbsp;due to anoxic conditions. This study quantified GHG fluxes from drainage ditches in Sarawak, Malaysia, through spatial sampling conducted during the daytime in the transitional period between the drier and wetter seasons using portable trace gas analyzers. Median fluxes were 0.19&nbsp;g CH</span><sub>4</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>, 17.1&nbsp;g CO</span><sub>2</sub><span>&nbsp;m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>, and − 0.12&nbsp;mg N</span><sub>2</sub><span>O m</span><sup>−2</sup><span>&nbsp;d</span><sup>−1</sup><span>. Physical water parameters such as pH, oxygen concentration, temperature, and oxidation–reduction potential were found to be significant drivers of GHG fluxes. The median emissions from ditches in one hectare of land were 5.84&nbsp;kg CO</span><sub>2</sub><span>&nbsp;ha</span><sup>−1</sup><span>&nbsp;d</span><sup>−1</sup><span>, 2.78&nbsp;kg CH</span><sub>4</sub><span>&nbsp;as CO</span><sub>2</sub><span>&nbsp;eq ha</span><sup>−1</sup><span>&nbsp;d</span><sup>−1</sup><span>, and − 0.001&nbsp;kg N</span><sub>2</sub><span>O as CO</span><sub>2</sub><span>&nbsp;eq ha</span><sup>−1</sup><span>&nbsp;d</span><sup>−1</sup><span>. These findings underscore the role of drainage ditches as CH</span><sub>4</sub><span>&nbsp;sources in tropical peatland agriculture, highlighting the need for further research into GHG management in these modified landscapes.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-21094-3","usgsCitation":"Kasak, K., Dronova, I., Soosaar, K., Melling, L., Xhuan, W.G., Sangok, F., Ranniku, R., Villa, J.A., Bansal, S., Peacock, M., and Mander, Ü., 2025, Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia: Scientific Reports, v. 15, 37126, 13 p., https://doi.org/10.1038/s41598-025-21094-3.","productDescription":"37126, 13 p.","ipdsId":"IP-170583","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":496731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-21094-3","text":"Publisher Index Page"},{"id":496583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              99.99937723563403,\n              6.756461538667807\n            ],\n            [\n              99.99937723563403,\n              2.710494555037542\n            ],\n            [\n              103.80214382028282,\n              2.710494555037542\n            ],\n            [\n              103.80214382028282,\n              6.756461538667807\n            ],\n            [\n              99.99937723563403,\n              6.756461538667807\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasak, Kuno","contributorId":265844,"corporation":false,"usgs":false,"family":"Kasak","given":"Kuno","email":"","affiliations":[],"preferred":false,"id":950274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dronova, Iryna 0000-0003-3339-3704","orcid":"https://orcid.org/0000-0003-3339-3704","contributorId":272607,"corporation":false,"usgs":false,"family":"Dronova","given":"Iryna","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":950275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soosaar, Kaido","contributorId":362287,"corporation":false,"usgs":false,"family":"Soosaar","given":"Kaido","affiliations":[],"preferred":false,"id":950276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melling, Lulie","contributorId":260542,"corporation":false,"usgs":false,"family":"Melling","given":"Lulie","email":"","affiliations":[],"preferred":false,"id":950277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xhuan, Wong Guan","contributorId":362288,"corporation":false,"usgs":false,"family":"Xhuan","given":"Wong","middleInitial":"Guan","affiliations":[],"preferred":false,"id":950278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sangok, Faustina","contributorId":362290,"corporation":false,"usgs":false,"family":"Sangok","given":"Faustina","affiliations":[],"preferred":false,"id":950279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ranniku, Reti","contributorId":362292,"corporation":false,"usgs":false,"family":"Ranniku","given":"Reti","affiliations":[],"preferred":false,"id":950280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villa, Jorge A.","contributorId":362293,"corporation":false,"usgs":false,"family":"Villa","given":"Jorge","middleInitial":"A.","affiliations":[],"preferred":false,"id":950281,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950282,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peacock, Michael","contributorId":362298,"corporation":false,"usgs":false,"family":"Peacock","given":"Michael","affiliations":[],"preferred":false,"id":950283,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mander, Ülo","contributorId":362300,"corporation":false,"usgs":false,"family":"Mander","given":"Ülo","affiliations":[],"preferred":false,"id":950284,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273798,"text":"70273798 - 2025 - Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2026-01-30T16:32:13.465269","indexId":"70273798","displayToPublicDate":"2025-10-22T09:28:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Loess is the most widespread surficial deposit in the state of Alaska. Although loess of last glacial age is common in mid-continental North America, records of last glacial loess in Alaska have been elusive. Here we report a record of last glacial loess on the Seward Peninsula, along with studies of a transect of loess localities also thought to date to the last glacial period. Highly diverse hypotheses on the origin of loess on the Seward Peninsula include local volcanic rocks and mountain ranges to the north and south, as well as offshore deposits. We present particle size and mineralogical and geochemical data that indicate that the most likely sources for loess in this part of eastern Beringia are glaciogenic silt particles of the Kobuk River and Noatak River, both of which drain the Brooks Range to the northeast. Northeasterly paleowinds were therefore responsible for loess on the Seward Peninsula. Such winds probably occurred during late summer or early autumn, when river discharge was at a minimum but temperatures were still above freezing. Northeasterly winds during the last glacial period are in good agreement with a recent paleoclimate model.</span></span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2564571","usgsCitation":"Muhs, D., and Pigati, J.S., 2025, Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2564571, 35 p., https://doi.org/10.1080/15230430.2025.2564571.","productDescription":"2564571, 35 p.","ipdsId":"IP-170278","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2564571","text":"Publisher Index Page"},{"id":499370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.55037494280683,\n              66.8388103328742\n            ],\n            [\n              -169.55037494280683,\n              63.980403413505144\n            ],\n            [\n              -159.37080899997525,\n              63.980403413505144\n            ],\n            [\n              -159.37080899997525,\n              66.8388103328742\n            ],\n            [\n              -169.55037494280683,\n              66.8388103328742\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273339,"text":"70273339 - 2025 - Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska","interactions":[],"lastModifiedDate":"2026-01-09T14:23:56.559276","indexId":"70273339","displayToPublicDate":"2025-10-21T10:40:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska","docAbstract":"<p><span>The August 18, 1992, eruption of Mount Spurr volcano, Alaska, produced an impressive Vulcanian to Subplinian eruption column reaching up to 40&nbsp;km above sea level that blanketed the nearby city of Anchorage with ash. At the time of the eruption, the Alaska Volcano Observatory received reports of audible sound hundreds of kilometers from the source from a variety of azimuths&nbsp;from the volcano and found the pattern that did not solely depend on distance. Explosions are generally inaudible to the human ear at these distances due to the attenuation of sound in the atmosphere as the energy propagates, but low-frequency sound waves (infrasound) persist and can be used to detect and characterize eruptions. Similar reports of zones of audible sounds at great distances have been observed from notable eruptions such as Krakatau 1883, Mount St. Helens 1980, Mount Pinatubo 1991, and Hunga volcano 2022. We perform infrasound propagation modeling to help understand the unique distribution of audible reports, finding that areas with favorable infrasound propagation may help explain areas in which nonlinear propagation, including energy cascading effects into higher frequencies that are audible to the human ear, may have occurred.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01889-y","usgsCitation":"Iezzi, A.M., and Power, J., 2025, Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska: Bulletin of Volcanology, v. 87, 103, 9 p., https://doi.org/10.1007/s00445-025-01889-y.","productDescription":"103, 9 p.","ipdsId":"IP-177278","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498388,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Spurr","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145.21429538275885,\n              64.29174488809704\n            ],\n            [\n              -158,\n              64.29174488809704\n            ],\n            [\n              -158,\n              59.07692390342348\n            ],\n            [\n              -145.21429538275885,\n              59.07692390342348\n            ],\n            [\n              -145.21429538275885,\n              64.29174488809704\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953394,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272124,"text":"70272124 - 2025 - Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale","interactions":[],"lastModifiedDate":"2025-11-17T15:56:39.6263","indexId":"70272124","displayToPublicDate":"2025-10-21T08:51:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale","docAbstract":"<p><span>Increased cyanotoxin concentrations from harmful algal blooms (HABs) in lake systems pose a global challenge to water quality. Although progress has been made in monitoring cyanotoxins in modern environments over recent decades, identifying the triggers of cyanotoxin release by cyanobacteria has yielded mixed results from experimental and analytical studies. Paleolimnological reconstructions can reveal whole-lake long-term changes, but few studies have directly measured cyanotoxins alongside other water quality proxies. Here, we investigated the drivers of sedimentary total microcystin (MC) concentrations on millennial scales in hypereutrophic Lakes Dora and Marian in central Florida, USA. We analyzed dated sediment records using paleolimnological techniques to reconstruct nutrient deposition, cyanobacteria abundance (photosynthetic pigments), and cyanotoxins (total MCs). The objective was to investigate the linkage between MC concentrations in the sediments with both biotic (cyanobacteria and other primary producers) and abiotic factors (nutrients and climate). We found that MC production occurred throughout the ∼7000-year period, progressing from periods of moderate to low, and then to high concentrations in both lakes. Statistical analyses showed that historical MC concentrations were correlated with sedimentary measurements of total phosphorus (TP), cyanobacteria abundance, and other primary producer groups, such as cryptophytes. However, there was only a minimal correspondence with climate proxies, such as charcoal and pollen, suggesting that internal nutrient cycling and human pressures were the dominant drivers of MC deposition. Our study demonstrates that cyanotoxins have occurred for millennia in both lakes with maintained relationships to nutrients and other environmental factors that existed both in historic and modern limnological conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.103004","usgsCitation":"Paradeisis-Stathis, S., Waters, M.N., Willard, D., Foliano, S., and Vachula, R.S., 2025, Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale: Harmful Algae, v. 151, 103004, 16 p., https://doi.org/10.1016/j.hal.2025.103004.","productDescription":"103004, 16 p.","ipdsId":"IP-181868","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Dora, Lake Marian","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.44436943337803,\n              29.651926771236546\n            ],\n            [\n              -82.44436943337803,\n              28.25712734894958\n            ],\n            [\n              -81.14720193457273,\n              28.25712734894958\n            ],\n            [\n              -81.14720193457273,\n              29.651926771236546\n            ],\n            [\n              -82.44436943337803,\n              29.651926771236546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"151","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paradeisis-Stathis, Savvas","contributorId":362173,"corporation":false,"usgs":false,"family":"Paradeisis-Stathis","given":"Savvas","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waters, Matthew N.","contributorId":362174,"corporation":false,"usgs":false,"family":"Waters","given":"Matthew","middleInitial":"N.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":950145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foliano, Sophia","contributorId":362177,"corporation":false,"usgs":false,"family":"Foliano","given":"Sophia","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vachula, Richard S.","contributorId":362178,"corporation":false,"usgs":false,"family":"Vachula","given":"Richard","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950147,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273250,"text":"70273250 - 2025 - Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes","interactions":[],"lastModifiedDate":"2025-12-23T14:59:24.331062","indexId":"70273250","displayToPublicDate":"2025-10-21T07:44:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes","docAbstract":"<p><span>The use of winter cover crops and conservation tillage are agricultural practices promoted to reduce nutrient and sediment loss from cropland, improve soil health, increase infiltration, and support farm nutrient cycling and ecosystem services. However, environmental performance of these practices is variable in the working farm landscape. The Lower Chesapeake Bay research project within the USDA Long-Term Agroecosystem Research (LTAR) network has collaboratively developed satellite remote sensing algorithms to measure the performance and phenology of winter cover crops (aboveground biomass, nitrogen content, fractional cover, and emergence and termination dates) using no-cost Harmonized Landsat and Sentinel-2 multispectral satellite imagery. This research supports annual operational assessment of&nbsp;&gt;28,000 fields per year in four states. Results document the impacts of agronomic management on conservation outcomes, support adaptive management of incentive payment structures, and can reduce the workload for conservation district staff by remotely verifying cover crop management. Additionally, super-spectral satellite applications have been developed to accurately map crop residue cover by measuring lignocellulose absorption in shortwave infrared wavelengths, producing a 7-year time series of tillage intensity maps for the Delmarva Peninsula. These remote sensing products can be used in decision support and modeling to estimate changes in nutrient, sediment, and carbon cycling resulting from conservation practice implementation in the working farm landscape. This manuscript provides an overview of remote sensing research findings and applications associated with the USDA LTAR and Conservation Effects Assessment Projects (CEAP), documenting a variety of previously published outcomes with update and expansion of techniques using additional unpublished data and analyses as appropriate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.70082","usgsCitation":"Hively, W.D., Gao, F., McCarty, G.W., Daughtry, C.S., Zhang, X., Jennewein, J., Thieme, A., Lamb, B.T., Keppler, J., Hapeman, C.J., Cosh, M., and Mirsky, S.B., 2025, Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes: Journal of Environmental Quality, v. 54, no. 6, p. 1548-1571, https://doi.org/10.1002/jeq2.70082.","productDescription":"24 p.","startPage":"1548","endPage":"1571","ipdsId":"IP-174155","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70082","text":"Publisher Index Page"},{"id":497934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.968001494542,\n              38.9830420903468\n            ],\n            [\n              -76.13945750419632,\n              38.41949313855301\n            ],\n            [\n              -75.79643857812154,\n              38.461896436666535\n            ],\n            [\n              -75.63401655681334,\n              39.0636830303699\n            ],\n            [\n              -75.968001494542,\n              38.9830420903468\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hively, W. 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,{"id":70272449,"text":"70272449 - 2025 - Expression and mechanisms of behavioral plasticity in large mammals","interactions":[],"lastModifiedDate":"2025-11-21T18:21:10.277585","indexId":"70272449","displayToPublicDate":"2025-10-20T12:05:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Expression and mechanisms of behavioral plasticity in large mammals","docAbstract":"<p><span>Behavioral plasticity, the alteration of behavior in response to stimuli, is becoming increasingly important in the context of human-induced rapid environmental change. Theoretical and empirical studies suggest that the expression and magnitude of behavioral plasticity are likely facilitated or constrained primarily by two factors: environmental variation and endogenous traits such as body size. The contextual role of these factors on behavioral plasticity, however, is poorly understood; there are relatively few studies that have compared the magnitude and potential drivers of behavioral plasticity at different levels (i.e., population and individual) across species, especially in free-ranging animals with diverse behavioral traits such as large mammals. Here, we quantify and test potential hypotheses for the mechanisms underpinning behavioral plasticity at the individual and population level in response to variation in summer temperatures for 1068 animal-years in 17 populations across nine species of large mammals. All populations displayed behavioral plasticity in response to increased temperatures, modifying their relative selection for heat-relieving habitat attributes (e.g., elevation) and heat-generating behavior (i.e., movement speed). We found strong support for the hypothesis that the variability of the physical environment is an important driver of behavioral plasticity—both mean population behavioral plasticity and variation among individuals within each population in plasticity were lower with increased heterogeneity of habitat attributes such as tree cover. Yet, the variability in environmental conditions (i.e., the magnitude of the temperature increase) had no effect on behavioral plasticity within and among populations. We did not detect an effect of endogenous traits on the expression of behavioral plasticity; however, we note that data availability limited our tests of this hypothesis to a select few endogenous traits (body size, feeding guild, and sex of the tracked individuals) that predominantly vary at the species level, for which we had one to three replicate populations per species. Our results provide an integrative and generalizable understanding of the expression of behavioral plasticity among populations of large mammals in temperate environments and emphasize the important but nuanced role of environmental variation in determining the scope of behavioral plasticity in these populations.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70432","usgsCitation":"Thomas-Kuzilik, R.R., Becker, J.A., Beck, J.L., Clapp, J.G., Courtemanch, A.B., Fralick, G.L., Geremia, C., Hall, L.E., Kauffman, M., Lowrey, B., Metz, M.C., Miyasaki, H.M., Monteith, K.L., Ortega, A.C., Sawyer, H., Smith, D.W., Stahler, E.E., Stahler, D.R., Verzuh, T.L., and Merkle, J.A., 2025, Expression and mechanisms of behavioral plasticity in large mammals: Ecosphere, v. 16, no. 10, e70432, 27 p., https://doi.org/10.1002/ecs2.70432.","productDescription":"e70432, 27 p.","ipdsId":"IP-165914","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70432","text":"Publisher Index Page"},{"id":496782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.05444391365384,\n              44.981739589770086\n            ],\n            [\n              -111.05444391365384,\n              41.00306317425938\n            ],\n            [\n              -104.09549358601788,\n              41.00306317425938\n            ],\n            [\n              -104.09549358601788,\n              44.981739589770086\n            ],\n            [\n              -111.05444391365384,\n              44.981739589770086\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas-Kuzilik, Rebecca R.","contributorId":362836,"corporation":false,"usgs":false,"family":"Thomas-Kuzilik","given":"Rebecca","middleInitial":"R.","affiliations":[],"preferred":false,"id":950754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Justine A.","contributorId":362837,"corporation":false,"usgs":false,"family":"Becker","given":"Justine","middleInitial":"A.","affiliations":[],"preferred":false,"id":950755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Jeffrey L.","contributorId":287806,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey","middleInitial":"L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":950831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clapp, Justin G.","contributorId":362838,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","middleInitial":"G.","affiliations":[],"preferred":false,"id":950756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Courtemanch, Alyson B.","contributorId":362839,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","middleInitial":"B.","affiliations":[],"preferred":false,"id":950757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fralick, Gary L.","contributorId":362840,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary","middleInitial":"L.","affiliations":[],"preferred":false,"id":950758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geremia, Chris","contributorId":362841,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","affiliations":[],"preferred":false,"id":950759,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hall, L. 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,{"id":70272653,"text":"70272653 - 2025 - GlASS - Global Aggregation of Stream Silica","interactions":[],"lastModifiedDate":"2025-12-02T16:14:50.459605","indexId":"70272653","displayToPublicDate":"2025-10-20T10:07:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"GlASS - Global Aggregation of Stream Silica","docAbstract":"<p><span>Riverine silicon (Si) plays a vital role in governing primary production, water quality, and carbon cycling. Climate and land cover change have altered how dissolved Si (DSi) is processed on land, transported to rivers, and cycled through aquatic ecosystems. The Global Aggregation of Stream Silica (GlASS) database was constructed to assess changes in river Si concentrations and fluxes, their relationship to other nutrients (nitrogen (N) and phosphorus (P)), and to evaluate mechanisms driving the availability of Si. GlASS includes concentrations of DSi, dissolved inorganic N (NO</span><sub>3</sub><span>, NO</span><sub>x</sub><span>, and NH</span><sub>4</sub><span>), and dissolved inorganic P (as soluble reactive P or PO</span><sub>4</sub><span>-P) at daily to quarterly time steps from 1963 to 2024; daily discharge; and watershed characteristics for 421 rivers spanning eight climate zones. Original data sources are cited, data quality assurance workflows are public, and input files to a common load model are provided. GlASS offers critical data to address questions about patterns, controls, and trajectories of global river Si biogeochemistry and stoichiometry.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41597-025-05937-2","usgsCitation":"Jankowski, K.J., Johnson, K., Lyon, N., Bush, S.A., Julian, P., Sethna, L.R., McKnight, D.M., McDowell, W.H., Wymore, A.S., Kortelainen, P., Laudon, H., Heindel, R.C., Poste, A., Shogren, A.J., Worrall, F., Mosley, L., Sullivan, P.L., and Carey, J.C., 2025, GlASS - Global Aggregation of Stream Silica: Scientific Data, v. 12, 1658, 12 p., https://doi.org/10.1038/s41597-025-05937-2.","productDescription":"1658, 12 p.","ipdsId":"IP-170409","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-025-05937-2","text":"Publisher Index 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Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":951187,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Poste, Amanda 0000-0001-5255-5356","orcid":"https://orcid.org/0000-0001-5255-5356","contributorId":333903,"corporation":false,"usgs":false,"family":"Poste","given":"Amanda","email":"","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":951188,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shogren, Arial J. 0000-0002-1284-3836","orcid":"https://orcid.org/0000-0002-1284-3836","contributorId":330722,"corporation":false,"usgs":false,"family":"Shogren","given":"Arial","email":"","middleInitial":"J.","affiliations":[{"id":78990,"text":"Department of Biological Sciences, University of Alabama, Tuscaloosa, AL, 35457","active":true,"usgs":false}],"preferred":false,"id":951189,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Worrall, Fred 0000-0002-4139-1330","orcid":"https://orcid.org/0000-0002-4139-1330","contributorId":358045,"corporation":false,"usgs":false,"family":"Worrall","given":"Fred","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":951190,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mosley, Luke 0000-0002-7446-8955","orcid":"https://orcid.org/0000-0002-7446-8955","contributorId":358046,"corporation":false,"usgs":false,"family":"Mosley","given":"Luke","affiliations":[{"id":37953,"text":"The University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":951191,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sullivan, Pamela L. 0000-0001-8780-8501","orcid":"https://orcid.org/0000-0001-8780-8501","contributorId":330723,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":951192,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Carey, Joanna C. 0000-0003-2365-9185","orcid":"https://orcid.org/0000-0003-2365-9185","contributorId":363158,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","middleInitial":"C.","affiliations":[{"id":86633,"text":"Babson College","active":true,"usgs":false}],"preferred":false,"id":951193,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70274022,"text":"70274022 - 2025 - Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","interactions":[],"lastModifiedDate":"2026-02-20T15:26:36.787455","indexId":"70274022","displayToPublicDate":"2025-10-20T09:24:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","docAbstract":"<p><span>The Virginia northern flying squirrel (</span><i>Glaucomys sabrinus fuscus</i><span>; VNFS) is a rare, Pleistocene-relict, disjunct subspecies of the northern flying squirrel. The squirrel occurs only in high-elevation red spruce (</span><i>Picea rubens</i><span>) forests of the central Appalachian Mountains of Virginia and West Virginia—a forest type that was substantially reduced by exploitative logging and wildfire in the 1890s–1930. Owing to its cryptic nature and difficulty of capture, managers have relied on an evolving series of predicted habitat suitability models that primarily have used topographic measures and red spruce cover class to assess potential occupancy on the landscape. Currently, VNFS is considered the sentinel species in the region whereby its predicted presence indicates red spruce forests with higher relative habitat integrity, and unsuitable habitat highlights where red spruce restoration or enhancement should occur. However, extant VNFS models only use red spruce percent composition and do not provide insights into forest structure, such as forest canopy height or basal area, that are needed by managers to implement restoration or assess effectiveness. We examined recent historical VNFS observations from nest-box surveys and radiotelemetry data (natural dens and foraging points) relative to random pseudoabsence points across red spruce cover classes from the most current VNFS predicted probability habitat model. Using generalized linear models in an information-theoretic approach, we found that within each red spruce composition class, suitable VNFS habitat was related to increased forest canopy height (m), basal area (m</span><sup>2</sup><span>·ha</span><sup>−1</sup><span>), quadratic mean diameter (cm), and stem density (number of trees ha</span><sup>−1</sup><span>), indicating that, within red spruce and mixed red spruce–northern hardwood forests, VNFS is associated most with mature forest conditions. Accordingly, our results could be recombined with habitat suitability models to prioritize where, for example, red spruce forest structural enhancement would facilitate shifting a given stand to a higher probability condition for VNFS use.</span></p>","language":"English","publisher":"Wiley","doi":"10.1155/ijfr/4526136","usgsCitation":"Humbert, T.R., McKellips, A.W., Carter, D.R., Green, P.C., De La Cruz, J.L., Diggins, C.A., Ford, W., 2025, Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability: International Journal of Forestry Research, v. 2025, 4526136, 9 p., https://doi.org/10.1155/ijfr/4526136.","productDescription":"4526136, 9 p.","ipdsId":"IP-180938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/ijfr/4526136","text":"Publisher Index Page"},{"id":500341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78,\n              39.5833\n            ],\n            [\n              -80.833,\n              39.5833\n            ],\n            [\n              -80.833,\n              37.9167\n            ],\n            [\n              -78,\n              37.9167\n            ],\n            [\n              -78,\n              39.5833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Humbert, Tanner R.","contributorId":366758,"corporation":false,"usgs":false,"family":"Humbert","given":"Tanner","middleInitial":"R.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKellips, Abigail W.","contributorId":366759,"corporation":false,"usgs":false,"family":"McKellips","given":"Abigail","middleInitial":"W.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, David R.","contributorId":366863,"corporation":false,"usgs":false,"family":"Carter","given":"David","middleInitial":"R.","affiliations":[],"preferred":false,"id":956333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, P. Corey","contributorId":366760,"corporation":false,"usgs":false,"family":"Green","given":"P.","middleInitial":"Corey","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Jesse L.","contributorId":366761,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diggins, Corinne A.","contributorId":366762,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":956191,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272110,"text":"70272110 - 2025 - Quantifying benthic flux of Mysis biomass through diel vertical migration at the ecosystem scale","interactions":[],"lastModifiedDate":"2025-11-18T14:15:09.847931","indexId":"70272110","displayToPublicDate":"2025-10-16T09:14:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying benthic flux of <i>Mysis</i> biomass through diel vertical migration at the ecosystem scale","title":"Quantifying benthic flux of Mysis biomass through diel vertical migration at the ecosystem scale","docAbstract":"<p><i>Mysis diluviana</i><span>&nbsp;is a macroinvertebrate that couples benthic and pelagic habitats on a daily timescale through diel vertical migration (DVM). However, quantifying how much&nbsp;</span><i>Mysis</i><span>&nbsp;biomass is exchanged between benthic and pelagic habitats at an ecosystem scale is difficult because of sampling limitations and variability in&nbsp;</span><i>Mysis</i><span>&nbsp;DVM behavior related to light and depth. Although&nbsp;</span><i>Mysis</i><span>&nbsp;are benthic-pelagic migrators, a portion remains pelagic during the day offshore in Lake Ontario, partially contradicting the assumption of population-level DVM over deep areas. To estimate the amount of biomass transferred from benthic to pelagic habitat via DVM in Lake Ontario, we estimated the portion of pelagic biomass at night originating from benthic habitat as the difference between night and day pelagic estimates from net tows along a bathymetric depth gradient. We then modeled the portion as a function of depth, extrapolated these depth-dependent estimates to an existing lake wide night-pelagic dataset, and summed amounts across depth strata. We estimated more biomass was transferred from benthic to pelagic habitat at intermediate lake depths (100–160&nbsp;m) despite greater offshore (&gt; 180&nbsp;m) night-pelagic biomass. Our results suggest ways to improve estimates of&nbsp;</span><i>Mysis</i><span>&nbsp;habitat coupling and how to account for important factors such as depth and light for modeling&nbsp;</span><i>Mysis</i><span>&nbsp;DVM behavior at the population- and ecosystem-levels.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10021-025-01015-1","usgsCitation":"O’Malley, B., Hoffman, G.W., Chapina, R.J., Stockwell, J.D., and Farrell, C.J., 2025, Quantifying benthic flux of Mysis biomass through diel vertical migration at the ecosystem scale: Ecosystems, v. 28, 67, 13 p., https://doi.org/10.1007/s10021-025-01015-1.","productDescription":"67, 13 p.","ipdsId":"IP-167376","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496727,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10021-025-01015-1","text":"Publisher Index Page"},{"id":496554,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.61072712278828,\n              43.75409616423798\n            ],\n            [\n              -79.97779309400795,\n              43.164112982755455\n            ],\n            [\n              -76.39135259634553,\n              43.23247864987255\n            ],\n            [\n              -75.98504893915495,\n              43.96806881864106\n            ],\n            [\n              -76.35610083371708,\n              44.349259569402875\n            ],\n            [\n              -79.61072712278828,\n              43.75409616423798\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2025-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Georgia Wende 0000-0002-9769-0436","orcid":"https://orcid.org/0000-0002-9769-0436","contributorId":334262,"corporation":false,"usgs":true,"family":"Hoffman","given":"Georgia","email":"","middleInitial":"Wende","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapina, Rosaura J.","contributorId":362141,"corporation":false,"usgs":false,"family":"Chapina","given":"Rosaura","middleInitial":"J.","affiliations":[{"id":86479,"text":"Univ of Vermont","active":true,"usgs":false}],"preferred":false,"id":950102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockwell, Jason D.","contributorId":362142,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","middleInitial":"D.","affiliations":[{"id":86479,"text":"Univ of Vermont","active":true,"usgs":false}],"preferred":false,"id":950103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farrell, Collin J.","contributorId":362143,"corporation":false,"usgs":false,"family":"Farrell","given":"Collin","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273077,"text":"70273077 - 2025 - Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae)","interactions":[],"lastModifiedDate":"2025-12-12T19:14:40.520059","indexId":"70273077","displayToPublicDate":"2025-10-15T12:07:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Natural history museum records may provide unique information on the distribution of species that can supplement survey data collected by resource managers. However, there can be challenges to using museum data for analyses, such as spurious geographic information, misidentifications, and incorrect labeling. Museum records have been centralized by open-source repositories with flags for coordinate precision and out-of-range specimens, providing some information about record uncertainty in general. Verification of uncertain museum records could increase confidence in distribution data and improve understanding of biodiversity patterns and range dynamics through time. The goal of this study was to determine if museum records provide unique information about the distribution of the Yellow Lampmussel&nbsp;</span><i>Lampsilis cariosa</i><span>&nbsp;(Say, 1817), an at-risk freshwater mussel species. We created a dichotomous key based on a hierarchy of conchological characteristics to verify the taxonomic identity of flagged&nbsp;</span><i>L. cariosa</i><span>&nbsp;specimens and assessed records occurring outside of the species’ expected range as compiled from primary literature. Fifty percent of flagged specimens were confirmed as&nbsp;</span><i>L. cariosa</i><span>. Of the invalid records, 56% were misidentifications, mainly of other&nbsp;</span><i>Lampsilis</i><span>&nbsp;species. Overall, museum collections (1800s–present) contributed 32 unique watersheds not represented by modern survey records (1980s–present, comprising 92 watersheds) including 13 unexpected watersheds in regions of New York and Vermont (USA) and Québec and Ontario (Canada). Our study provides a reproducible method for the reverification of freshwater mussel museum records and highlights how these records can provide unique contributions to our understanding of the geographic range of a rare, at-risk mussel species.</span></span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/738615","usgsCitation":"Fedarick, J., Murphy, C.A., Record, S., and Roy, A.H., 2025, Museum records provide unique information about the distribution of the Yellow Lampmussel <i>Lampsilis cariosa</i> (Unionidae): Freshwater Science, v. 44, no. 4, p. 434-442, https://doi.org/10.1086/738615.","productDescription":"9 p.","startPage":"434","endPage":"442","ipdsId":"IP-174004","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","otherGeospatial":"Ontario, Quebec","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.15950260000896,\n              56.462837792190584\n            ],\n            [\n              -95.77691469485542,\n              49.71284520828655\n            ],\n            [\n              -85.11013420152203,\n              46.85470065182994\n            ],\n            [\n              -81.95949958747218,\n              44.63027898467527\n            ],\n            [\n              -79.51850001152886,\n              42.05772807401594\n            ],\n            [\n              -73.39821683387511,\n              41.96978452451617\n            ],\n            [\n              -72.36699219294661,\n              42.840968406530905\n            ],\n            [\n              -71.94060238105281,\n              45.20492109068548\n            ],\n            [\n              -64.41091936819154,\n              50.95131087236287\n            ],\n            [\n              -72.30757566485309,\n              56.462837792190584\n            ],\n            [\n              -90.15950260000896,\n              56.462837792190584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fedarick, Jillian","contributorId":363950,"corporation":false,"usgs":false,"family":"Fedarick","given":"Jillian","affiliations":[],"preferred":false,"id":952246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Record, Sydne 0000-0001-7293-2155","orcid":"https://orcid.org/0000-0001-7293-2155","contributorId":353707,"corporation":false,"usgs":false,"family":"Record","given":"Sydne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":952248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272724,"text":"70272724 - 2025 - Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units","interactions":[],"lastModifiedDate":"2025-12-05T14:54:18.218207","indexId":"70272724","displayToPublicDate":"2025-10-15T08:50:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in detection distance of Eastern Black Rail (<i>Laterallus jamaicensis jamaicensis</i>) vocalizations by autonomous recording units","title":"Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units","docAbstract":"<p><span>Autonomous recording units (ARUs) are an emerging technology that allows for passive monitoring of soniferous animals and soundscapes. Over the past decade, ARUs have become a popular tool for monitoring birds for their potential to reduce the labor and costs of traditional in-person sampling procedures. However, uncertainty surrounding factors affecting detection of avian taxa using ARUs can inhibit their monitoring efficacy. Eastern Black Rails (</span><i>Laterallus jamaicensis jamaicensis</i><span>) are a secretive marsh bird listed as a federally threatened species in the U.S.A. Eastern Black Rail vocalizations are difficult to detect by field personnel, and numerous in-person surveys can be required to confirm their presence at a site. While ARUs are an alternative for detecting Eastern Black Rails, it is unknown at what maximum distance an ARU can detect their vocalizations. We evaluated factors affecting the detection distance of simulated vocalizations for ARUs in four marsh vegetation types under a range of environmental conditions. Detection distances varied across models, vocalization and vegetation types, and call volume.&nbsp;</span><i>Kickeedo</i><span>&nbsp;vocalizations were detected at greater distances, and detection distances increased for all vocalization types in open vegetation. High relative humidity increased detection distances, while louder background noise decreased detection distances. High wind speeds in cordgrass (</span><i>Spartina spp</i><span>.) decreased detection probability disproportionately relative to other vegetation types. Based on these results, considerations of survey area, vegetation type, and site condition can allow land managers and researchers to optimize Eastern Black Rail monitoring using ARUs. Given the substantial staff time needed to monitor this species, ARUs may increase the likelihood of detection and provide an efficient alternative to in-person monitoring.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.048.0206","usgsCitation":"Lamb, B.D., Levy, H.E., Beilke, E.A., Kross, C.S., Kappes, P.J., Sukiennik, M.J., Cox, J.A., Wilson, J.K., Woodrow, J.O., Butler, M.J., Zenzal, T.J., Fournier, A.M., and Woodrey, M.S., 2025, Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units: Waterbirds, v. 48, no. 2, p. 1-12, https://doi.org/10.1675/063.048.0206.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-178264","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Blake D.","contributorId":363290,"corporation":false,"usgs":false,"family":"Lamb","given":"Blake","middleInitial":"D.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levy, Heather E.","contributorId":363291,"corporation":false,"usgs":false,"family":"Levy","given":"Heather","middleInitial":"E.","affiliations":[{"id":33355,"text":"Tall Timbers Research Station and Land Conservancy","active":true,"usgs":false}],"preferred":false,"id":951442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beilke, Elizabeth A.","contributorId":363293,"corporation":false,"usgs":false,"family":"Beilke","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":951443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kross, Chelsea S.","contributorId":363295,"corporation":false,"usgs":false,"family":"Kross","given":"Chelsea","middleInitial":"S.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":951444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kappes, Peter J.","contributorId":363297,"corporation":false,"usgs":false,"family":"Kappes","given":"Peter","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sukiennik, Matt J.","contributorId":363299,"corporation":false,"usgs":false,"family":"Sukiennik","given":"Matt","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, James A.","contributorId":363301,"corporation":false,"usgs":false,"family":"Cox","given":"James","middleInitial":"A.","affiliations":[{"id":33355,"text":"Tall Timbers Research Station and Land Conservancy","active":true,"usgs":false}],"preferred":false,"id":951447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Jennifer K.","contributorId":363303,"corporation":false,"usgs":false,"family":"Wilson","given":"Jennifer","middleInitial":"K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951448,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woodrow, Jarrett O.","contributorId":363305,"corporation":false,"usgs":false,"family":"Woodrow","given":"Jarrett","middleInitial":"O.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Butler, Matthew J.","contributorId":363307,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951451,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fournier, Auriel M.V.","contributorId":363311,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","middleInitial":"M.V.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":951452,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woodrey, Mark S.","contributorId":363313,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951453,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70274580,"text":"70274580 - 2025 - Beyond habitat: Memory versus environment in shaping animal space use","interactions":[],"lastModifiedDate":"2026-04-02T18:51:45.784167","indexId":"70274580","displayToPublicDate":"2025-10-14T11:45:45","publicationYear":"2025","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":"Beyond habitat: Memory versus environment in shaping animal space use","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>For nearly half a century, ecologists have sought to explain animal space use through characteristics of the environment (i.e., habitat). Recent evidence suggests animals also use memory of previous experiences to decide when and where to move. Yet, the relative influence of the two in explaining animal space use has not been resolved. Using six large ungulate species in the Rocky Mountains (USA), we evaluated the performance of a habitat selection model with 16 environmental variables and another with two variables representing previous use (i.e., memory). While memory outperformed the environment for two species and the environment outperformed memory for four species, the influence of memory and the environment was overall comparable. The environment best explained the space use of specialists, while memory best explained species with strong site fidelity. Our work challenges traditional habitat selection theory, showcasing that animals build their spatial preferences through experience just as much as merely responding to their environment.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70233","usgsCitation":"Verzuh, T.L., Monteith, K.L., LaSharr, T.N., Wallace, C.F., Smiley, R.A., Wagler, B.L., Geremia, C., Huggler, K.S., Sawyer, H., Kauffman, M.J., and Merkle, J.A., 2025, Beyond habitat: Memory versus environment in shaping animal space use: Ecology Letters, v. 28, no. 10, e70233, 11 p., https://doi.org/10.1111/ele.70233.","productDescription":"e70233, 11 p.","ipdsId":"IP-181117","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.05540796433237,\n              45.04359637572361\n            ],\n            [\n              -111.05540796433237,\n              41.065797431121325\n            ],\n            [\n              -104.08177351356116,\n              41.065797431121325\n            ],\n            [\n              -104.08177351356116,\n              45.04359637572361\n            ],\n            [\n              -111.05540796433237,\n              45.04359637572361\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Verzuh, Tana L.","contributorId":369047,"corporation":false,"usgs":false,"family":"Verzuh","given":"Tana","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":369048,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaSharr, Tayler N.","contributorId":369049,"corporation":false,"usgs":false,"family":"LaSharr","given":"Tayler","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cody F.","contributorId":369050,"corporation":false,"usgs":false,"family":"Wallace","given":"Cody","middleInitial":"F.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smiley, Rachel A.","contributorId":369051,"corporation":false,"usgs":false,"family":"Smiley","given":"Rachel","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagler, Brittany L.","contributorId":369052,"corporation":false,"usgs":false,"family":"Wagler","given":"Brittany","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geremia, Chris","contributorId":362841,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","affiliations":[],"preferred":false,"id":958362,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huggler, Katey S.","contributorId":369053,"corporation":false,"usgs":false,"family":"Huggler","given":"Katey","middleInitial":"S.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958363,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sawyer, Hall","contributorId":337577,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":958364,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958365,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Merkle, Jerod A.","contributorId":369054,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958366,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273317,"text":"70273317 - 2025 - Summer roost site suitability analyses for 4 special status bat species in the Eastern United States","interactions":[],"lastModifiedDate":"2026-01-06T14:41:32.178329","indexId":"70273317","displayToPublicDate":"2025-10-14T08:37:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Summer roost site suitability analyses for 4 special status bat species in the Eastern United States","docAbstract":"<p><span>Data describing habitat suitability are crucial for implementing effective conservation planning but are often lacking at regional and continental scales. We address this gap for 4 bat species that are listed, proposed for listing, or under Endangered Species Act listing review by highlighting a framework for estimating summer roost suitability with a presence-background approach to aid development of conservation policy and management plans. The 4 species of concern are the Little Brown Bat (</span><i>Myotis lucifugus</i><span>), the Northern Long-eared Bat (</span><i>M. septentrionalis</i><span>), the Indiana Bat (</span><i>M. sodalis</i><span>), and the Tricolored Bat (</span><i>Perimyotis subflavus</i><span>). Our estimates of summer roost suitability were developed for the eastern United States at a fine spatial resolution (250 m pixels) suitable for conservation planning across multiple scales. Summer roost habitat suitability was higher in areas with higher tree canopy cover for each of these species, though subtle differences were observed between the species that often use buildings (e.g., Little Brown Bat), tree crevices, cavities, and elements of dead or dying trees (e.g., Northern Long-eared Bat and Indiana Bat), and foliage (e.g., Tricolored Bat). To this end, roost suitability was not identical among species, and each showed subtly different relationships to the environmental covariates considered here. We also use a novel approach, gradient surface metrics, to quantify differences in the spatial pattern of summer roost suitability among the 4 species and found that tricolored bats and northern long-eared bats showed the most homogeneous and spatially smooth habitat suitability surfaces. Estimates of summer roost suitability developed here were also used to identify areas of good summer habitat where our models showed the least uncertainty that may be beneficial for targeted conservation, such as limiting disturbance to potential roost habitat. We also identified areas where additional data would benefit future summer roost modeling efforts. This work provides a first step toward developing multistate inventories of summer roost habitat suitable for implementing effective conservation planning at multiple scales.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf057","usgsCitation":"Inman, R.D., Schuhmann, A.N., Sawyer, S., Gaulke, S.M., Tousley, F.C., Davis, H.T., Udell, B.J., Straw, B., Reichard, J.D., and Reichert, B., 2025, Summer roost site suitability analyses for 4 special status bat species in the Eastern United States: Journal of Mammalogy, v. 106, no. 6, p. 1399-1411, https://doi.org/10.1093/jmammal/gyaf057.","productDescription":"13 p.","startPage":"1399","endPage":"1411","ipdsId":"IP-165519","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, Sarah","contributorId":210922,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":953315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaulke, Sarah Mccrimmon 0000-0002-2657-5844","orcid":"https://orcid.org/0000-0002-2657-5844","contributorId":225564,"corporation":false,"usgs":true,"family":"Gaulke","given":"Sarah","email":"","middleInitial":"Mccrimmon","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":953316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tousley, Frank Charles 0000-0002-6859-7558","orcid":"https://orcid.org/0000-0002-6859-7558","contributorId":304216,"corporation":false,"usgs":true,"family":"Tousley","given":"Frank","middleInitial":"Charles","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953320,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reichard, Jonathan D. 0000-0002-4792-2868","orcid":"https://orcid.org/0000-0002-4792-2868","contributorId":337073,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":953321,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953322,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272626,"text":"70272626 - 2025 - Evaluating effectiveness of flocculation and wave-reduction barriers for restoration of a turbid, terminal lake","interactions":[],"lastModifiedDate":"2025-11-26T14:42:28.421722","indexId":"70272626","displayToPublicDate":"2025-10-14T08:36:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating effectiveness of flocculation and wave-reduction barriers for restoration of a turbid, terminal lake","docAbstract":"<p><span>Malheur Lake is a freshwater, shallow lake that provides key habitat for birds along the Pacific Flyway in North America. The lake shifted to a turbid state in the 1990s with suspended-sediment concentrations sometimes exceeding 1000 mg/L and minimal light available in the water column for submerged aquatic vegetation. Resource managers intend to enhance bird habitat quality by restoring the lake to a clear, vegetated state. Ten mesocosms were installed to experimentally test the effects of wave-reduction barriers and flocculation (aluminum sulfate followed by lanthanum-modified bentonite clay) on dependent variables including turbidity, suspended-sediment concentrations, nutrient concentrations, and photosynthetically active radiation. Flocculation additions temporarily decreased turbidity by ≥ 90% and significantly increased photosynthetically active radiation by &gt; 400% through the water column. Orthophosphate concentrations significantly decreased following the first flocculation addition. The clay did not cap the flocculated material, and turbidity increased within a few days from wind-wave action. Wind directions in the middle of the lake were variable, minimizing the effect of wave-reduction barriers on dependent variables. This study showed that the light required for submerged aquatic vegetation can be temporarily attained at the lakebed using flocculation. Future experiments could attempt to prolong the duration of low turbidity by effectively capping the flocculated material. The findings demonstrate the complexity of disrupting shallow lake feedback loops and offer insights for turbid-state lake restoration.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11273-025-10094-9","usgsCitation":"Smith, C., and Brannan, R., 2025, Evaluating effectiveness of flocculation and wave-reduction barriers for restoration of a turbid, terminal lake: Wetlands Ecology and Management, v. 33, 82, 16 p., https://doi.org/10.1007/s11273-025-10094-9.","productDescription":"82, 16 p.","ipdsId":"IP-177920","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":496937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11273-025-10094-9","text":"Publisher Index Page"},{"id":496900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Malheur Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119,\n              43.4167\n            ],\n            [\n              -119,\n              43.1667\n            ],\n            [\n              -118.5833,\n              43.1667\n            ],\n            [\n              -118.5833,\n              43.4167\n            ],\n            [\n              -119,\n              43.4167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2025-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brannan, Randy Joe 0009-0001-1622-9251","orcid":"https://orcid.org/0009-0001-1622-9251","contributorId":351630,"corporation":false,"usgs":true,"family":"Brannan","given":"Randy Joe","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":951023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272446,"text":"70272446 - 2025 - Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator","interactions":[],"lastModifiedDate":"2025-11-21T18:36:50.615069","indexId":"70272446","displayToPublicDate":"2025-10-10T12:29:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator","docAbstract":"<p><span>Understanding the factors that regulate population dynamics is crucial for conserving imperiled species. Bull trout (</span><i>Salvelinus confluentus</i><span>), a piscivorous salmonid and one of North America's most threatened cold-water species, has declined significantly due to habitat loss, overfishing, invasive species, and climate change. While recovery efforts have primarily targeted these threats, the role of prey availability in influencing bull trout population dynamics under multiple stressors remains poorly understood. Using a stage-based integrated population model, we quantified the effects of non-native prey availability (kokanee;&nbsp;</span><i>Oncorhynchus nerka</i><span>), angling pressure, climatic variation, and density-dependent processes on bull trout population dynamics in Lake Koocanusa, a transboundary reservoir and river system (United States and Canada), over a 40-year period (1980–2023). Our results show that bull trout populations are regulated by density-dependent processes, including over-compensation in sub-adult recruitment and reduced adult survival at high densities. Increased kokanee biomass and restricted harvest significantly enhanced bull trout survival and abundance, whereas reduced water availability had a limited negative effect on sub-adult production. Model simulations indicate that as kokanee biomass availability increases, the number of bull trout that can be sustainably harvested also increases. In fact, a modest annual fishery (300 individuals) can be sustained, especially under moderate to high kokanee biomass conditions. These results underscore the importance of prey availability, including non-native species, in supporting bull trout populations. Effective management of threatened apex fish predators like bull trout requires addressing the complex interplay between environmental threats, prey dynamics, and density-dependent mechanisms across all life stages.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70103","usgsCitation":"Cochrane, M., Cline, T., Schmidt, T.S., Dunnigan, J., Warnock, W., and Muhlfeld, C.C., 2025, Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator: Ecological Applications, v. 35, no. 7, e70103, 16 p., https://doi.org/10.1002/eap.70103.","productDescription":"e70103, 16 p.","ipdsId":"IP-173240","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70103","text":"Publisher Index Page"},{"id":496789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Montana","otherGeospatial":"Lake Koocanusa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.41674082695792,\n              49.37701492800039\n            ],\n            [\n              -115.41674082695792,\n              48.769300021930604\n            ],\n            [\n              -115.08255833560938,\n              48.769300021930604\n            ],\n            [\n              -115.08255833560938,\n              49.37701492800039\n            ],\n            [\n              -115.41674082695792,\n              49.37701492800039\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Madaline","contributorId":362831,"corporation":false,"usgs":false,"family":"Cochrane","given":"Madaline","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":950747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cline, Timothy","contributorId":339987,"corporation":false,"usgs":false,"family":"Cline","given":"Timothy","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":950748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":221742,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis","email":"tschmidt@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunnigan, James","contributorId":279960,"corporation":false,"usgs":false,"family":"Dunnigan","given":"James","affiliations":[{"id":48633,"text":"MT FWP","active":true,"usgs":false}],"preferred":false,"id":950750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warnock, Will","contributorId":362833,"corporation":false,"usgs":false,"family":"Warnock","given":"Will","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":950751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":950752,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272219,"text":"70272219 - 2025 - Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers","interactions":[],"lastModifiedDate":"2025-11-19T16:03:43.592705","indexId":"70272219","displayToPublicDate":"2025-10-09T08:59:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers","docAbstract":"<p><span>North American sapsuckers are considered double keystone species because they (1) excavate nest cavities that are used by other birds, small mammals, and invertebrates, and (2) create and maintain sap wells, a temporary nutritional resource available to a variety of secondary consumers. Most previous reports of secondary sap consumption relied on human observers and were based on either brief or incidental observations. However, modern technology can greatly enhance observational techniques and provide additional insights into the functional, community-level importance of sap wells. We used visual surveys, camera traps, and environmental DNA (eDNA) to identify secondary consumers of sap from wells created by red-naped (</span><i>Sphyrapicus nuchalis</i><span>) and Williamson's (</span><i>S. thyroideus</i><span>) sapsuckers among three functional groups of shrubs and trees in south-central Colorado: shrub willows (</span><i>Salix</i><span>&nbsp;spp.), Rocky Mountain maple (</span><i>Acer glabrum</i><span>), and conifer trees (Pinopsida). Camera traps and eDNA revealed additional sap-well visitors not identified from direct observations. Camera traps were effective for detecting nocturnal sap-well visitors such as small rodents as well as occasional diurnal visitors. Environmental DNA analyses corroborated findings from other methods and identified four additional taxa as possible sap consumers. The physiology of sap-well visitors, such as the ability to taste and assimilate compounds within sap, may aid in determining consumption versus contact when evaluating the results of eDNA analyses. Total vertebrate taxa detected using all 3 methods included 17 bird taxa in 10 families within 3 orders and 8 mammal taxa in 6 families within 4 orders. Shrub-willow sap wells attracted the most diverse vertebrate taxa (23), followed by Rocky Mountain maple (13) and conifer trees (10). Invertebrates in 13 families within 3 orders were observed feeding from sap wells during visual surveys. Because many secondary sap consumers perform ecological services such as pollination, seed dispersal, and pest control, the methods described here may aid in elucidating the importance of sap-well creators in supporting biodiversity and ecosystem functioning.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72277","usgsCitation":"Clawges, R., Blair, S., Eitel, J., Svancara, L.K., Vierling, L.A., and Vierling, K., 2025, Sapsucker wells as a keystone nutritional resource: Evaluating methods for detection of secondary sap consumers: Ecology and Evolution, v. 15, no. 10, e72277, 18 p., https://doi.org/10.1002/ece3.72277.","productDescription":"e72277, 18 p.","ipdsId":"IP-177667","costCenters":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72277","text":"Publisher Index Page"},{"id":496642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Custer Couty, Huerfano County, Pueblo County","otherGeospatial":"Wet Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.56183958865896,\n              38.22746340134614\n            ],\n            [\n              -106.56183958865896,\n              37.04012010581634\n            ],\n            [\n              -104.6650515745562,\n              37.04012010581634\n            ],\n            [\n              -104.6650515745562,\n              38.22746340134614\n            ],\n            [\n              -106.56183958865896,\n              38.22746340134614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Clawges, Richard","contributorId":362438,"corporation":false,"usgs":false,"family":"Clawges","given":"Richard","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blair, Shannon","contributorId":354984,"corporation":false,"usgs":false,"family":"Blair","given":"Shannon","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eitel, Jan H.","contributorId":236991,"corporation":false,"usgs":false,"family":"Eitel","given":"Jan H.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":950478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svancara, Leona Kay 0009-0007-1936-6079","orcid":"https://orcid.org/0009-0007-1936-6079","contributorId":359789,"corporation":false,"usgs":true,"family":"Svancara","given":"Leona","middleInitial":"Kay","affiliations":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vierling, Lee A.","contributorId":169443,"corporation":false,"usgs":false,"family":"Vierling","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":950480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vierling, Kerri","contributorId":280031,"corporation":false,"usgs":false,"family":"Vierling","given":"Kerri","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":950481,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273161,"text":"70273161 - 2025 - Initial responses of songbird communities to forest reclamation on legacy surface mines","interactions":[],"lastModifiedDate":"2025-12-17T14:58:18.760746","indexId":"70273161","displayToPublicDate":"2025-10-09T08:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Initial responses of songbird communities to forest reclamation on legacy surface mines","docAbstract":"<p><span>Surface coal mining and subsequent reclamation efforts in the Appalachian Mountains, USA, transform the ecological characteristics of natural landscapes. The Forestry Reclamation Approach (FRA) is a mine reclamation method that emphasizes best management practices in forestry. FRA practices have demonstrated success in establishing native forests and accelerating natural succession on coal mines; however, no studies have empirically examined the effects of the FRA on bird communities. Our study aimed to assess the avian community composition within young forests reclaimed using the FRA after one decade of forest growth. Whereas traditional reclamation practices often support grassland avian guilds, we expected that the FRA would provide habitat for shrubland and young forest avian guilds. Moreover, we sought to determine whether FRA forests would contain known avian indicator species of the native forest land cover. In June 2022, we conducted point count surveys in high-elevation, red spruce-northern hardwood (RS-NH) forests in the Appalachian Mountains of eastern West Virginia, USA. Using Bayesian multispecies occupancy models, we assessed avian guild occupancy and species richness within two FRA forest age classes (2–5 years and 8–11 years). We also examined avian community composition within two older RS-NH reference age classes to predict the future avian composition within FRA forests if reclamation succeeds. We found that the FRA breeding bird community included all of the avian indicator species expected to inhabit a young RS-NH forest. These results suggest that after approximately one decade, legacy mines reclaimed using the FRA are progressing toward a native RS-NH forest that supports associated forest bird communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70423","usgsCitation":"Davenport, R.N., Barton, C.D., Cox, J., Guzy, J.C., Sherman, L., Larkin, J.L., Fearer, T., and Price, S.J., 2025, Initial responses of songbird communities to forest reclamation on legacy surface mines: Ecosphere, v. 16, no. 10, e70423, 15 p., https://doi.org/10.1002/ecs2.70423.","productDescription":"e70423, 15 p.","ipdsId":"IP-157888","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70423","text":"Publisher Index Page"},{"id":497631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.9833,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.6833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Rebecca N.","contributorId":364334,"corporation":false,"usgs":false,"family":"Davenport","given":"Rebecca","middleInitial":"N.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, John J.","contributorId":140196,"corporation":false,"usgs":false,"family":"Cox","given":"John J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherman, Lauren","contributorId":336563,"corporation":false,"usgs":false,"family":"Sherman","given":"Lauren","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":364335,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":952546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fearer, Todd","contributorId":264971,"corporation":false,"usgs":false,"family":"Fearer","given":"Todd","affiliations":[{"id":54600,"text":"Appalacian Mountains Joint Venture","active":true,"usgs":false}],"preferred":false,"id":952547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Steven J.","contributorId":364336,"corporation":false,"usgs":false,"family":"Price","given":"Steven","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272043,"text":"70272043 - 2025 - Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry","interactions":[],"lastModifiedDate":"2025-11-14T15:19:41.352122","indexId":"70272043","displayToPublicDate":"2025-10-08T09:15:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry","docAbstract":"<p><span>Evaluation of thermal maturity in vitrinite-free or vitrinite-deficient sediments via fluorescence microspectrometry can provide relevant information related to petroleum exploration and thermal history assessment. However, variation in spectral fluorescence properties of alginite macerals with increasing thermal maturity is largely underexplored. Here, authors of this study have applied confocal laser-scanning microscopy (CLSM) in conjunction with fluorescence microspectrometry to a maturity series of marine Upper Devonian&nbsp;</span><i>Tasmanites</i><span>&nbsp;algae from the Ohio Shale (Huron Member) and a single sample from the Marcellus Formation of the Appalachian Basin. Spectral fluorescence properties of&nbsp;</span><i>Tasmanites</i><span>&nbsp;were evaluated in relation to orientation, measurement location, and the number of measurements per sample, and were compared to published literature. Emission spectra of&nbsp;</span><i>Tasmanites</i><span>&nbsp;from continuous wave laser excitation (405&nbsp;nm) were acquired from sections perpendicular and parallel to bedding and at different positions within individual&nbsp;</span><i>Tasmanites</i><span>&nbsp;bodies. The results showed a progressive red-shift in emission maxima (λ</span><sub>max</sub><span>) in a large sample sized maturity series (</span><i>N</i><span>&nbsp;=&nbsp;19), e.g., 493 to 578&nbsp;nm for the perpendicular section at middle position. Further, blue-shifted apex and mineral-adjacent positions within sections perpendicular to bedding were observed, with the latter being reported here for the first time. While blue-shift at apex positions can be attributed to mechanical deformation-induced reorientation of photoselected fluorophores, the blue-shifted mineral-adjacent positions could result from strain loading and development of a plastic deformation region at the mineral contact zone with&nbsp;</span><i>Tasmanites</i><span>. A decrease in standard deviation with increasing number of measured emission maxima is well-observed, and 15 to 20 individual measurements per sample appears sufficient for low standard deviation and coefficient of variance. CLSM-derived thermal maturity parameters indicated that a moderate positive correlation of red/green quotient (Q</span><sub>650/500</sub><span>; R</span><sup>2</sup><span>&nbsp;=&nbsp;0.67) with solid bitumen reflectance (BR</span><sub>o</sub><span>&nbsp;in %) exists. For reproducible results, the determination of λ</span><sub>max</sub><span>&nbsp;and Q</span><sub>650/500</sub><span>&nbsp;should be conducted exclusively in the middle position at perpendicular and parallel sections of the polished whole-rock pellets, where the lowest standard deviation in measurement was observed. These results strengthen the suitability and relevance of the CLSM technique in thermal maturity studies of dispersed organic matter (DOM) and contribute to the standardization of fluorescence microspectrometry methods in organic petrology investigation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2025.104885","usgsCitation":"Kus, J., and Hackley, P.C., 2025, Confocal laser-scanning microscopy (CLSM)-based thermal maturity of Tasmanites and progress in standardization of fluorescence microspectrometry: International Journal of Coal Geology, v. 310, 104885, 16 p., https://doi.org/10.1016/j.coal.2025.104885.","productDescription":"104885, 16 p.","ipdsId":"IP-173105","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2025.104885","text":"Publisher Index Page"},{"id":496478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Ohio, Virginia, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.64749053543926,\n              42.054831551917516\n            ],\n            [\n              -84.5,\n              42.054831551917516\n            ],\n            [\n              -84.5,\n              36.517775865399514\n            ],\n            [\n              -80.64749053543926,\n              36.517775865399514\n            ],\n            [\n              -80.64749053543926,\n              42.054831551917516\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, Jolanta","contributorId":289942,"corporation":false,"usgs":false,"family":"Kus","given":"Jolanta","affiliations":[{"id":62291,"text":"BGR.de","active":true,"usgs":false}],"preferred":false,"id":949837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272763,"text":"70272763 - 2025 - Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","interactions":[],"lastModifiedDate":"2026-01-07T17:38:24.690661","indexId":"70272763","displayToPublicDate":"2025-10-08T08:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The coastal Cactus Wren (</span><i>Campylorhynchus brunneicapillus</i><span>) persists in small and fragmented populations throughout southern California that are subject to genetic drift and inbreeding. We combined individual banding and resighting data and genotyped individuals at 22 microsatellite loci to assess whether heterozygosity was associated with survival across three regional Cactus Wren populations on conserved lands in Orange and San Diego Counties between 2009 and 2020. Using Cormack-Jolly-Seber models (CJS) to analyze the 5-year capture histories of 528 individual wrens, we found that age class (hatch year or after hatch year) was the strongest predictor of survival. Individual heterozygosity and precipitation also had positive effects on survival, with survival up to 2 times higher in the most heterozygous individuals compared to the least and up to 1.5 times higher in high precipitation years versus drought years. Multi-locus heterozygosity was significantly correlated across loci, suggesting that inbreeding depression is likely driving the association between survival and heterozygosity. Study results support that genetic rescue efforts that reduce inbreeding have the potential to improve fitness and mitigate further loss of genetic variation in managed populations.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70155","usgsCitation":"Vandergast, A.G., Mitelberg, A., Kus, B.E., Preston, K.L., Lynn, S., Houston, A., and Klinger, R.C., 2025, Genetic and environmental factors associated with survival of a rare songbird in a fragmented urban landscape: Conservation Science and Practice, v. 7, no. 12, e70155, 14 p., https://doi.org/10.1111/csp2.70155.","productDescription":"e70155, 14 p.","ipdsId":"IP-180356","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497185,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497395,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70155","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Orange County, San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              32.58385755405139\n            ],\n            [\n              -116.21159447208314,\n              33.788832546013026\n            ],\n            [\n              -118.45098240465302,\n              33.788832546013026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":203745,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara","email":"barbara_kus@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klinger, Robert C.","contributorId":363410,"corporation":false,"usgs":false,"family":"Klinger","given":"Robert","middleInitial":"C.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":951641,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273841,"text":"70273841 - 2025 - Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island","interactions":[],"lastModifiedDate":"2026-02-06T15:04:57.311975","indexId":"70273841","displayToPublicDate":"2025-10-08T08:00:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23288,"text":"Arctic Antarctic and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Bering Land Bridge (BLB) climate and vegetation during the Last Glacial Maximum (LGM) remains largely understudied, given challenges associated with collecting records from the submerged BLB. Previous records, confined to the margins of the modern land area and adjacent shelf, reveal conflicting interpretations of Beringian vegetation during the LGM. Here, we reconstruct LGM vegetation, sedimentology, and stable isotopes from a central BLB paleo-lake (Lake Knebel, LK) and compare it with a Holocene peat record from nearby St. Matthew Island (SMI). Results show strong similarities between LGM and late Holocene pollen assemblages, although with differences in relative taxonomic abundance. LGM communities are consistent with a cold and dry steppe or herb tundra environment but suggest the possibility of localized Betula presence in low-lying areas. LK’s bedded lacustrine stratigraphy transitions into undisturbed marine sediments by ~19&nbsp;ka, providing a maximum limiting age of the transgression. Shrub absence on SMI today and during the Holocene is consistent with island isolation before ~14 to 15&nbsp;ka, when Betula expanded rapidly at most sites with Bølling-Allerød warming. The combined vegetation evidence indicates preservation of LGM tundra and steppe vegetation assemblages on SMI, suggesting that island vegetation communities may provide additional constraints on the timing of sea level transgression.</span></span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2025.2557062","usgsCitation":"Jones, M.C., Anderson, L., Caissie, B.E., Harning, D.J., and Ager, T.A., 2025, Sea-level driven isolation of glacial plant refugia revealed by submerged lake sediment from the Bering Land Bridge and St. Matthew Island: Arctic Antarctic and Alpine Research, v. 57, no. 1, 2557062, 21 p., https://doi.org/10.1080/15230430.2025.2557062.","productDescription":"2557062, 21 p.","ipdsId":"IP-178054","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2557062","text":"Publisher Index Page"},{"id":499647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Land Bridge, St. Matthew Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -173.87930380308052,\n              63.86224983419106\n            ],\n            [\n              -173.87930380308052,\n              60.66791533892487\n            ],\n            [\n              -161.92701451875794,\n              60.66791533892487\n            ],\n            [\n              -161.92701451875794,\n              63.86224983419106\n            ],\n            [\n              -173.87930380308052,\n              63.86224983419106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":955186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harning, David J.","contributorId":366035,"corporation":false,"usgs":false,"family":"Harning","given":"David","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":955187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ager, Thomas A. 0000-0002-5029-7581 tager@usgs.gov","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":736,"corporation":false,"usgs":true,"family":"Ager","given":"Thomas","email":"tager@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955188,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274119,"text":"70274119 - 2025 - Mapping a Carrington storm","interactions":[],"lastModifiedDate":"2026-02-26T17:25:32.943003","indexId":"70274119","displayToPublicDate":"2025-10-07T10:16:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping a Carrington storm","docAbstract":"<p><span>A map is presented of median 1-min-resolution peak geoelectric-field strength across the United States as would be induced by magnetic storms as intense as the 2 September 1859 Carrington storm. The map is constructed from two data sets: Magnetometer time series from 22 ground-based observatories recording 40 magnetic storms, and surface impedance tensors derived from magnetotelluric measurements acquired at 1616 survey sites across the contiguous United States. Carrington-class storm geoelectric fields are likely to be very strong in the United States East and Midwest; &gt; <strong>5.00 </strong></span><span>V/km at many places. In Virginia, strengths would likely range from 30.30&nbsp;V/km, with a 68% confidence interval of [19.44,47.20] V/km, to as low as 0.05 [0.03,0.07] V/km. Comparison of model geopotentials with those measured on 30 long lines, indicates errors of about 18%. A Carrington-class storm would likely induce geoelectric fields with strengths 55% greater than for the 13–14 March 1989 storm.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116835","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Rigler, E.J., Bedrosian, P.A., and Schnepf, N.R., 2025, Mapping a Carrington storm: Geophysical Research Letters, v. 52, no. 19, e2025GL116835, 12 p., https://doi.org/10.1029/2025GL116835.","productDescription":"e2025GL116835, 12 p.","ipdsId":"IP-178833","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116835","text":"Publisher Index Page"},{"id":500557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n  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          -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"52","issue":"19","noUsgsAuthors":false,"publicationDate":"2025-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Greg M.","contributorId":367021,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":956591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna","contributorId":367022,"corporation":false,"usgs":false,"family":"Kelbert","given":"Anna","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":956592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":956594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schnepf, Neesha R.","contributorId":367027,"corporation":false,"usgs":false,"family":"Schnepf","given":"Neesha","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":956595,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273503,"text":"70273503 - 2025 - Near real-time indicators of burn severity in the western U.S. from active fire tracking","interactions":[],"lastModifiedDate":"2026-01-20T15:25:21.631459","indexId":"70273503","displayToPublicDate":"2025-10-07T08:18:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Near real-time indicators of burn severity in the western U.S. from active fire tracking","docAbstract":"<p>Background</p><p><span>Timely information on wildfire burn severity is critical to assess and mitigate potential post-fire impacts on soils, vegetation, and hillslope stability. Tracking individual fire spread and intensity using satellite active fire data provides a pathway to near real-time (NRT) information. Here, we generated a large database (</span><i>n</i><span> = 2177) of wildfire events in the western United States (U.S.) between 2012 and 2021 using active fire detections from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (SNPP) satellite and the Fire Events Data Suite (FEDS) algorithm to track large fire growth every 12&nbsp;h. We integrated fire tracking data with final fire perimeters and burn severity data from the Monitoring Trends in Burn Severity (MTBS) program to evaluate the relationship between burn severity and fire behavior metrics derived from the fire tracking approach, including the rate of fire spread and average fire radiative power (FRP) of fire detections for each 12-h growth increment.</span></p><p><span>Results</span></p><p><span>When stratified by vegetation type, FRP and rate of spread metrics were positively correlated with classified burn severity for each 12-h growth increment, highlighting the potential to rapidly identify areas of high and low severity burning. In forests, integrated measures of FRP over the fire lifetime captured persistent flaming and smoldering that compensated for initial differences between AM (01:30) and PM (13:30) fire detections. Predictive modeling of these relationships based on multiple fire behavior indicators and vegetation type from the LANDFIRE program yielded an accuracy of 78% for the separation of unburned/low and moderate/high burn severity classes.</span></p><p><span>Conclusions</span></p><p><span>These results demonstrate the ability to capture within-fire differences in burn severity using NRT indicators from fire tracking to assist with emergency management and disaster preparedness for post-fire hazards, such as landslides, debris flows, or changes in stream flow and water quality. As VIIRS data are available within minutes of each satellite overpass in the U.S., rapid estimates of burn severity based on fire tracking can be made days or weeks before a large wildfire is fully contained.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00407-x","usgsCitation":"Orland, E., McCabe, T., Chen, Y., Scholten, R.C., Becker, Z., Loehman, R.A., Randerson, J.T., Coffield, S.R., Liu, T., Shiklomanov, A.N., Nelson, K., Peterson, B., Follette-Cook, M.B., and Morton, D.C., 2025, Near real-time indicators of burn severity in the western U.S. from active fire tracking: Fire Ecology, v. 21, 55, 18 p., https://doi.org/10.1186/s42408-025-00407-x.","productDescription":"55, 18 p.","ipdsId":"IP-170216","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":498919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00407-x","text":"Publisher Index Page"},{"id":498774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.28023348660705,\n              49.14849222332691\n            ],\n            [\n              -124.28023348660705,\n              31.366087454025504\n            ],\n            [\n              -101.57330654663889,\n              31.366087454025504\n            ],\n            [\n              -101.57330654663889,\n              49.14849222332691\n            ],\n            [\n              -124.28023348660705,\n              49.14849222332691\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Orland, Elijah","contributorId":238845,"corporation":false,"usgs":false,"family":"Orland","given":"Elijah","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":954031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Tempest","contributorId":365275,"corporation":false,"usgs":false,"family":"McCabe","given":"Tempest","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yang","contributorId":192429,"corporation":false,"usgs":false,"family":"Chen","given":"Yang","email":"","affiliations":[],"preferred":false,"id":954033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scholten, Rebecca C. 0000-0002-0144-0572","orcid":"https://orcid.org/0000-0002-0144-0572","contributorId":365276,"corporation":false,"usgs":false,"family":"Scholten","given":"Rebecca","middleInitial":"C.","affiliations":[{"id":87119,"text":"Univ California Irvine","active":true,"usgs":false}],"preferred":false,"id":954034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, Zeb 0009-0008-1003-5529","orcid":"https://orcid.org/0009-0008-1003-5529","contributorId":365277,"corporation":false,"usgs":false,"family":"Becker","given":"Zeb","affiliations":[{"id":87120,"text":"NASA Goddard Space Flight Center/Univ Maryland","active":true,"usgs":false}],"preferred":false,"id":954035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":954036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randerson, James T. 0000-0001-6559-7387","orcid":"https://orcid.org/0000-0001-6559-7387","contributorId":365278,"corporation":false,"usgs":false,"family":"Randerson","given":"James","middleInitial":"T.","affiliations":[{"id":87119,"text":"Univ California Irvine","active":true,"usgs":false}],"preferred":false,"id":954037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coffield, Shane R. 0000-0002-0550-5126","orcid":"https://orcid.org/0000-0002-0550-5126","contributorId":365279,"corporation":false,"usgs":false,"family":"Coffield","given":"Shane","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Tianjia 0000-0003-3129-0154","orcid":"https://orcid.org/0000-0003-3129-0154","contributorId":365280,"corporation":false,"usgs":false,"family":"Liu","given":"Tianjia","affiliations":[{"id":52230,"text":"University of British Columbia, Vancouver, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":954039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shiklomanov, Alexey N. 0000-0003-4022-5979","orcid":"https://orcid.org/0000-0003-4022-5979","contributorId":245541,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexey","email":"","middleInitial":"N.","affiliations":[{"id":49218,"text":"Boston University Department of Earth and Environment","active":true,"usgs":false}],"preferred":false,"id":954040,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":954041,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":954042,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Follette-Cook, Melanie B. 0000-0002-5648-584X","orcid":"https://orcid.org/0000-0002-5648-584X","contributorId":365282,"corporation":false,"usgs":false,"family":"Follette-Cook","given":"Melanie","middleInitial":"B.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954043,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morton, Douglas C.","contributorId":225139,"corporation":false,"usgs":false,"family":"Morton","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":954044,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272665,"text":"70272665 - 2025 - Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","interactions":[],"lastModifiedDate":"2025-12-03T16:42:49.612362","indexId":"70272665","displayToPublicDate":"2025-10-06T10:36:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22986,"text":"PLOS Computational Biology.","active":true,"publicationSubtype":{"id":10}},"title":"Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","docAbstract":"<p><span>Emerging infectious diseases pose threats to wildlife populations, as exemplified by recent outbreaks of avian influenza viruses in wild birds. Climate change can affect infection dynamics in wildlife through direct effects on pathogens (e.g., environmental decay rates) and changes to host ecology, including shifting migration patterns. Here, we adapt an existing mechanistic model that couples migration and infection to study how traits of highly pathogenic avian influenza (HPAI) viruses contribute to HPAI outcomes in migratory waterfowl, then apply this model to explore potential impacts of climate change on HPAI dynamics. We find that the simulated impacts of HPAI on the host population under baseline climate conditions varied from no impact to 100% mortality, depending on viral traits. In most cases, traits related to transmission (i.e., contact rates, shedding rates) were more important for HPAI establishment probability, infection prevalence, and mortality than were other viral traits (e.g., environmental temperature sensitivity, cross-protective immunity). We then simulated the effects of climate change (i.e., altered temperature regimes) on HPAI dynamics both via viral environmental decay and via changes in bird migration phenology. In these simulations, we found that a 9-day advancement in spring migration timing increased the duration of HPAI outbreaks by increasing time birds spent at their breeding grounds, leading to higher mortality and fewer infections. In contrast, increased viral decay in warmer years had a smaller, but opposite impact. These patterns depended on the primary transmission mode of HPAI (i.e., direct vs. environmental) and its sensitivity to environmental temperatures. Together, these results suggest that climate change is likely to increase the impacts of HPAI on waterfowl populations if HPAI relies strongly on direct transmission and birds advance their spring migration. Further integrating host-viral co-evolution and other climatic changes (e.g., salinity, humidity) could provide more precise predictions of how HPAI dynamics could change in the future.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pcbi.1013451","usgsCitation":"Teitelbaum, C.S., Casazza, M.L., Overton, C.T., Matchett, E., and Prosser, D.J., 2025, Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl: PLOS Computational Biology., v. 21, no. 10, e1013451, 22 p., https://doi.org/10.1371/journal.pcbi.1013451.","productDescription":"e1013451, 22 p.","ipdsId":"IP-157531","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1013451","text":"Publisher Index Page"},{"id":497015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.20078647084972,\n              61.26021297898512\n            ],\n            [\n              -149.09364902779188,\n              62.66876277882301\n            ],\n            [\n              -162.90133171617495,\n              63.7331238783043\n            ],\n            [\n              -166.54926553897377,\n              61.85068028365225\n            ],\n            [\n              -164.23587380154524,\n              59.41592981040935\n            ],\n            [\n              -158.791073273557,\n              57.922862761320914\n            ],\n            [\n 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0000-0001-5646-3184","orcid":"https://orcid.org/0000-0001-5646-3184","contributorId":295336,"corporation":false,"usgs":true,"family":"Teitelbaum","given":"Claire","email":"","middleInitial":"Stewart","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":951267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overton, Cory T. 0000-0002-5060-7447 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0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":951271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274600,"text":"70274600 - 2025 - Ambient field seismology in critical zone hydrological sciences","interactions":[],"lastModifiedDate":"2026-04-01T15:12:52.682494","indexId":"70274600","displayToPublicDate":"2025-10-06T10:07:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23777,"text":"Comptes Rendus. Géoscience","active":true,"publicationSubtype":{"id":10}},"title":"Ambient field seismology in critical zone hydrological sciences","docAbstract":"<p><span>Passive ambient noise monitoring is an emerging tool in environmental seismology, leveraging the ambient seismic field to assess temporal variations in shallow subsurface properties. This review focuses on the potential and challenges of using scattered coda waves from noise correlation functions to monitor critical zone dynamics. The sensitivity of seismic velocities to various environmental factors, including precipitation, snowmelt, atmospheric pressure, and groundwater fluctuations, underscores the method’s versatility. While coda waves excel in detecting subtle changes due to their scattered nature, ballistic waves provide higher spatial resolution, albeit with challenges in source stability. Advances in seismic sensing, including distributed acoustic sensing and low-cost geophone networks, have enabled high-resolution monitoring of hydrological processes, subsurface deformation, and seismic hazards. Integrating seismic data with hydrological models provides insights into water storage, pore pressure changes, and soil moisture dynamics. However, limitations in spatial resolution, calibration with ground truth data, and coupled effects between environmental factors remain key challenges. This review emphasizes the importance of interdisciplinary approaches in refining methodologies, enhancing sensor deployments, and addressing data gaps. Passive seismic monitoring offers opportunities to understand critical zone processes and their broader impacts on seismic hazards and environmental sustainability.</span></p>","language":"English","publisher":"Academie des Sciences, Institut de France","doi":"10.5802/crgeos.310","usgsCitation":"Denolle, M.A., Shi, Q., Clements, T., Viens, L., Rodriguez-Tribaldos, V., and Cotton, F., 2025, Ambient field seismology in critical zone hydrological sciences: Comptes Rendus. Géoscience, v. 357, p. 425-451, https://doi.org/10.5802/crgeos.310.","productDescription":"27 p.","startPage":"425","endPage":"451","ipdsId":"IP-181097","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":502104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5802/crgeos.310","text":"Publisher Index Page"},{"id":501930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"357","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Denolle, Marine A.","contributorId":345689,"corporation":false,"usgs":false,"family":"Denolle","given":"Marine","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":958469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qibin","contributorId":369115,"corporation":false,"usgs":false,"family":"Shi","given":"Qibin","affiliations":[{"id":49969,"text":"Department of Earth and Space Sciences, University of Washington, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":958470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viens, Loic","contributorId":362345,"corporation":false,"usgs":false,"family":"Viens","given":"Loic","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":958472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Tribaldos, Veronica","contributorId":369117,"corporation":false,"usgs":false,"family":"Rodriguez-Tribaldos","given":"Veronica","affiliations":[{"id":87725,"text":"GFZ Helmholtz Centre for Geosciences, Telegrafenberg 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":958473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cotton, Fabrice","contributorId":264167,"corporation":false,"usgs":false,"family":"Cotton","given":"Fabrice","email":"","affiliations":[],"preferred":false,"id":958474,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272115,"text":"70272115 - 2025 - Modeling diverse environmental responses of reservoirs to floating photovoltaic systems","interactions":[],"lastModifiedDate":"2025-11-17T16:13:07.875496","indexId":"70272115","displayToPublicDate":"2025-10-06T09:06:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5362,"text":"Limnologica - Ecology and Management of Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Modeling diverse environmental responses of reservoirs to floating photovoltaic systems","docAbstract":"<p><span>Floating photovoltaic (FPV) systems are emerging as a promising strategy for large-scale clean energy production worldwide. However, by altering key physical drivers such as solar radiation and wind mixing, FPV installations may have also unintended consequences for lakes and reservoirs. Given the wide diversity of freshwater systems globally, understanding the consistency in direction and magnitude of environmental responses to FPV deployment is critical for informed regulatory oversight and sustainable energy development. Here, we used process-based models to simulate the effects of FPV coverage on 11 reservoirs across the United States. This is the first multi-reservoir analysis using a laterally averaged 2D process-based modeling framework to systematically evaluate FPV impacts across diverse climatic and morphometric contexts, enabling direct comparison of magnitude and direction of responses among systems. Specifically, we evaluated changes in (1) surface and outflow temperature, (2) thermocline depth, (3) water column stability, (4) dissolved oxygen concentrations, and (5) potential suitable habitat availability for warm- and cold-water fishes. We quantified changes in these response variables by an iterative approach that simulates increases in FPV coverage and compares them with reference conditions. We summarized responses for winter (January–February) and summer (July–August). As expected, our simulations show that increasing FPV coverage consistently cooled surface waters and altered thermal stratification patterns, but the magnitude and environmental implications of these changes varied among reservoirs. Notably, greater FPV coverage led to increased variability in habitat suitability for aquatic species, with some reservoirs exhibiting distinct and sometimes divergent responses. These findings underscore the importance of considering local environmental contexts when assessing FPV impacts. While large-scale FPV systems offer potential benefits for climate mitigation, their ecological effects, particularly on thermally sensitive biota, require careful site-specific evaluation to avoid unintended consequences to local freshwater biodiversity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.limno.2025.126293","usgsCitation":"Bredeweg, E.M., Arismendi, I., Murphy, C.A., and Henkel, S.K., 2025, Modeling diverse environmental responses of reservoirs to floating photovoltaic systems: Limnologica - Ecology and Management of Inland Waters, v. 115, 126293, 11 p., https://doi.org/10.1016/j.limno.2025.126293.","productDescription":"126293, 11 p.","ipdsId":"IP-171829","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Idaho, Ohio, Oregon, Tennessee, 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University","active":true,"usgs":false}],"preferred":false,"id":950133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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