Aims
The number of hydropower dams has grown globally over recent decades, with significant impacts on downstream riparian plant communities. Many of these dams generate daily fluctuating flows known as hydropeaking to meet sub-daily variation in energy demands. Hydropeaking can significantly impact riparian plant communities, with obligate riparian species tending to experience the greatest negative effects on habitat suitability. Whether this pattern holds in arid biomes where daily soil moisture enhancements could benefit some plants is an open question.
Location
Colorado River, Grand Canyon, Western USA.
Methods
We used occurrence records to model species responses to variation in daily flow fluctuations across 32 689 river segments in the Western United States. We then applied estimates of hydropeaking responses derived from those models to understanding the abundance and fine scale hydrologic niches of riparian plant species in the Colorado River ecosystem downstream of Glen Canyon Dam, which has experienced vegetation expansion attributed to river regulation, including hydropeaking that began in 1964.
Results
At the regional scale, species with greater wetland dependence exhibited increasingly negative responses to hydropeaking across 1 496 species, consistent with previous studies at smaller scales. At the local scale of the Colorado River, we found that species inhabiting near-channel habitat characterized by daily inundation and exposure had positive modeled responses to hydropeaking, consistent with a long history of selection for species tolerant of hydropeaking. In contrast, species inhabiting the zone immediately above peak daily river stage had negative modeled responses to hydropeaking, suggesting that they are being excluded from otherwise suitable habitat nearer the channel.
Conclusions
These results demonstrate that hydropeaking can impact species distributions from local to regional scales by excluding obligate wetland species and reducing habitat suitability for some facultative wetland species. These results from an arid river system are consistent with those reported from other biomes.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.70033","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2025, Daily fluctuating flows affect riparian plant species distributions from local to regional scales: Applied Vegetation Science, v. 28, no. 3, e70033, 14 p., https://doi.org/10.1111/avsc.70033.","productDescription":"e70033, 14 p.","ipdsId":"IP-173588","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam to Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.69796878470245,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 36.01181577939015\n ],\n [\n -111.34429886929873,\n 37.294312973717396\n ],\n [\n -114.69796878470245,\n 37.294312973717396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":944450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":944451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70276513,"text":"70276513 - 2025 - Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates","interactions":[],"lastModifiedDate":"2026-06-09T18:06:45.240529","indexId":"70276513","displayToPublicDate":"2025-07-23T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16139,"text":"Ecological Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates","docAbstract":"Anthropogenically-driven sedimentation changes have had adverse environmental impacts on aquatic environments, including reductions in fish spawning habitats in embayments worldwide. This study was motivated by the need to understand the impacts of waves and current-driven sedimentation patterns on traditional spawning areas and their effect on sustainable fish reproduction in the Great Lakes. Coupled hydrodynamic, wave, and sediment transport models were developed within the Delft3D-SWAN (DS) framework to predict sedimentation patterns in two embayments in Lake Ontario, Sodus Bay and Chaumont Bay, that have been historically important fish spawning habitats. These bays, with distinct geomorphic characteristics and connectivity to Lake Ontario, offer an opportunity to examine how wind-generated waves and currents impact bed shear stress and subsequent sedimentation patterns. Areas experiencing greater wave-induced bed shear stress were identified and compared between the two bays. Simulated sediment transport patterns showed notable erosion near the lake-bay connections and increased deposition in the inner areas of both embayments. Observed Cisco embryo deposition corresponded to regions of high sheer stress and lower sedimentation, indicating physical attributes in those areas that are important for embryo survival. These results show where sediment settling and erosion occur in the two bays and highlight potential impacts on traditional spawning areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111274","usgsCitation":"Kheiri, A., Atkinson, J.F., Zhenduo, Z., Le Tarte, L., and Weidel, B., 2025, Sediment transport modeling in Lake Ontario embayments: Impacts on fish spawning substrates: Ecological Modeling, v. 509, 111274, 14 p., https://doi.org/10.1016/j.ecolmodel.2025.111274.","productDescription":"111274, 14 p.","ipdsId":"IP-174659","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":505490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2025.111274","text":"Publisher Index Page"},{"id":505256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Chaumont Bay, Lake Ontario, Sodus Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2687658,\n 43.8243263\n ],\n [\n -76.1520635,\n 43.8243263\n ],\n [\n -76.1520635,\n 43.2018608\n ],\n [\n -77.2687658,\n 43.2018608\n ],\n [\n -77.2687658,\n 43.8243263\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"509","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kheiri, Ali","contributorId":371887,"corporation":false,"usgs":false,"family":"Kheiri","given":"Ali","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Joseph F.","contributorId":371888,"corporation":false,"usgs":false,"family":"Atkinson","given":"Joseph","middleInitial":"F.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhenduo, Zhu","contributorId":371889,"corporation":false,"usgs":false,"family":"Zhenduo","given":"Zhu","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":962554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le Tarte, Lucas Alexander 0009-0003-6253-2352","orcid":"https://orcid.org/0009-0003-6253-2352","contributorId":353224,"corporation":false,"usgs":true,"family":"Le Tarte","given":"Lucas Alexander","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273373,"text":"70273373 - 2025 - From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","interactions":[],"lastModifiedDate":"2026-01-09T17:41:12.353802","indexId":"70273373","displayToPublicDate":"2025-07-22T11:32:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23128,"text":"ACS Environmental Au","active":true,"publicationSubtype":{"id":10}},"title":"From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders","docAbstract":"Municipal wastewater is a known point source of organic contaminants, including pharmaceuticals and neonicotinoid insecticides. Emergent aquatic insects can provide a direct aquatic-to-terrestrial contaminant transfer route to the food web, with implications for terrestrial food web dispersal of wastewater-derived organic contaminants. We quantified 17 target pharmaceuticals and insecticides (log Kow: −1.43 to 4.75) in surface water, fish, aquatic insects, and web-building riparian spiders at a wastewater effluent-dominated stream in eastern Iowa, USA. Two neonicotinoids, imidacloprid and clothianidin, had spider tissue concentrations of 8.9–84 ng/g and 1.2–11 ng/g, respectively. The imidacloprid/clothianidin ratios in spider tissues were reflective of the concentration ratios in the effluent-dominated streamwater and opposite of nearby agriculturally dominated waters. In contrast, no pharmaceuticals were detectable in the riparian spiders; however, only pharmaceuticals were present in both fish and aquatic insects (1.1–11 ng/g and 5.9–51 ng/g, respectively). Neonicotinoids are not predicted to enter aquatic food webs based on their log Kow and bioconcentration factor values; therefore, an implication of this study is to warrant caution when using traditional bioaccumulation models for polar hydrophilic contaminants. This work provides further evidence that neonicotinoids undergo trophic transfer and represents the initial measurements, implicating such a transfer from effluent-dominated streams into terrestrial food webs. While this study emphasizes field-relevant observations, it is limited by environmental variability, including uncertainties in the biomass of emergent insects that likely contribute to spider diets. Future research could investigate contaminant metabolites within individual organisms or use complementary techniques to better understand the underlying mechanisms.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsenvironau.5c00021","usgsCitation":"Mianecki, A.L., Behrens, J.R., Kolpin, D., Hemphill, G.R., Kapoor, K., and LeFevre, G.H., 2025, From water to web: Trophic transfer of neonicotinoids from a wastewater effluent-dominated stream to riparian spiders: ACS Environmental Au, v. 5, no. 5, p. 457-467, https://doi.org/10.1021/acsenvironau.5c00021.","productDescription":"11 p.","startPage":"457","endPage":"467","ipdsId":"IP-164873","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsenvironau.5c00021","text":"Publisher Index Page"},{"id":498518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Muddy Creek","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mianecki, A. L.","contributorId":364924,"corporation":false,"usgs":false,"family":"Mianecki","given":"A.","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behrens, J. R.","contributorId":358445,"corporation":false,"usgs":false,"family":"Behrens","given":"J.","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":953491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemphill, G. R.","contributorId":364926,"corporation":false,"usgs":false,"family":"Hemphill","given":"G.","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kapoor, K.","contributorId":364928,"corporation":false,"usgs":false,"family":"Kapoor","given":"K.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, G. H.","contributorId":364930,"corporation":false,"usgs":false,"family":"LeFevre","given":"G.","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":953495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269400,"text":"ofr20251039 - 2025 - Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","interactions":[],"lastModifiedDate":"2026-02-03T14:30:33.772241","indexId":"ofr20251039","displayToPublicDate":"2025-07-22T09:48:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1039","displayTitle":"Evaluating Deterrent Locations and Sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to Minimize Invasive Carp Occupancy and Abundance","title":"Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance","docAbstract":"Invasive carps, specifically silver carp (Hypophthalmichthys molitrix), bighead carp (H. nobilis), grass carp (Ctenopharyngodon idella), and black carp (Mylopharyngodon piceus), have proliferated in the Mississippi River Basin owing to escapes from aquaculture facilities and intentional releases. In the Water Resources and Development Act (WRDA) of 2020 Sec. 509, Congress directed the U.S. Army Corps of Engineers to work with the Tennessee Valley Authority and other relevant agencies with deterrent projects to implement as many as 10 deterrent projects intended to manage and prevent the spread of invasive carp in the Tennessee and Cumberland River subbasins. The WRDA was amended in 2022 to include that at least one location must be situated on the Tennessee–Tombigbee Waterway. This report documents a structured decision-making process that engaged State and Federal agencies to evaluate alternative deterrent site sequences at specified lock and dam complexes on the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. State and Federal agencies participated in a series of virtual and face-to-face meetings to structure the problem, expand the models used in previous decision analyses for the Tennessee River, and define management objectives. Potential deterrent sites were restricted to the downstream locations on the Tennessee River (n=3), Cumberland River (n=2), and the Tennessee–Tombigbee Waterway (n=10). Only considering 15 sites allowed all feasible deterrent site combinations and sequences to be evaluated. Invasive carp relative abundance was projected for the Tennessee River, Cumberland River, and Tennessee–Tombigbee Waterway management units for 20 years using a simulation model. The deterrent site sequences were ranked based on the system-level invasive carp relative abundance and distribution in year 20. The unique downstream expansion of invasive carp through the Tennessee–Tombigbee Waterway was important to the interest group, but downstream movement rates were unknown; therefore, several downstream movement rates were evaluated, and the outcomes were used to rank deterrent site sequences. Additionally, the analysis incorporated two scenarios involving the retention and removal of an experimental deterrent at Barkley Lock on the Cumberland River. The results of the deterrent site sequences varied among downstream movement rates, with Tennessee–Tombigbee Waterway deterrent locations installed earlier in highly ranked sequences with increasing downstream movement rates. This analysis was time-limited owing to agency needs and represents Phase 1 of this project. Phase 2 expands Phase 1 to address additional uncertainties and more holistic management objectives and strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251039","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Colvin, M.E., Aldridge, C.A., Jackson, N., and Post van der Burg, M., 2025, Evaluating deterrent locations and sequence in the Tennessee and Cumberland Rivers and the Tennessee–Tombigbee Waterway to minimize invasive carp occupancy and abundance: U.S. Geological Survey Open-File Report 2025–1039, 27 p., https://doi.org/10.3133/ofr20251039.","productDescription":"vii, 27 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171324","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":492704,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251039/full"},{"id":492703,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1039/images/"},{"id":492702,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.XML"},{"id":492701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1039/ofr20251039.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2-25–1039"},{"id":492700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1039/coverthb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Mississippi, Tennessee, Virginia","otherGeospatial":"Cumberland River, Tennessee River, Tennessee-Tombigbee Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.25835232816404,\n 30.40221322680152\n ],\n [\n -87.74112738454285,\n 30.53409733966683\n ],\n [\n -86.28197353514268,\n 33.17664867905761\n ],\n [\n -84.58539276715948,\n 35.11174136013369\n ],\n [\n -84.00529754650283,\n 34.7785832881593\n ],\n [\n -83.35182994181118,\n 34.28883621944685\n ],\n [\n -83.19236665540257,\n 35.041055997522406\n ],\n [\n -80.2096850872316,\n 36.78640735388454\n ],\n [\n -80.86738805566942,\n 37.257953522126016\n ],\n [\n -82.13281736640333,\n 37.06950836241309\n ],\n [\n -83.02442148961904,\n 37.262219027957244\n ],\n [\n -83.54138832596139,\n 37.46692711167633\n ],\n [\n -84.33015340933808,\n 37.60749767579556\n ],\n [\n -85.06533697843895,\n 37.036511430167636\n ],\n [\n -85.5677502361562,\n 36.45362253430034\n ],\n [\n -85.87920757818353,\n 36.383379347391596\n ],\n [\n -86.6325463621631,\n 37.379506944709526\n ],\n [\n -87.72434869310914,\n 37.50907115621132\n ],\n [\n -88.41107734207077,\n 37.2244083095801\n ],\n [\n -88.42057356609506,\n 37.02794489656113\n ],\n [\n -89.00288659023786,\n 37.183779269350126\n ],\n [\n -88.75606773049479,\n 35.10788131292719\n ],\n [\n -89.05545157713219,\n 34.33758222980704\n ],\n [\n -88.86237269918561,\n 33.56728314668689\n ],\n [\n -88.61821473605681,\n 32.488997215417314\n ],\n [\n -88.31062051861113,\n 31.90405945387107\n ],\n [\n -88.25835232816404,\n 30.40221322680152\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
Invasive silver carp are spreading upstream in the Tennessee and Cumberland Rivers. This report details a collaborative effort among State and Federal agencies to evaluate potential sites for invasive carp deterrent projects along the Tennessee River, Cumberland River, and the Tennessee–Tombigbee Waterway. The findings highlight that project implementation timing could significantly impact their success, especially with increasing downstream movement rates of invasive carp.
","publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Caleb A.","contributorId":358407,"corporation":false,"usgs":false,"family":"Aldridge","given":"Caleb A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":943665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Neal","contributorId":203382,"corporation":false,"usgs":false,"family":"Jackson","given":"Neal","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219400,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":943667,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269469,"text":"70269469 - 2025 - Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","interactions":[],"lastModifiedDate":"2025-07-24T14:43:36.320989","indexId":"70269469","displayToPublicDate":"2025-07-22T09:36:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior","docAbstract":"Beach nourishments are a popular nature-based alternative to armoring for shoreline erosion mitigation, but nourishments have been criticized due to their environmental impacts and uncertain sustainability. Monitoring is often nonexistent or insufficient to constrain nourishment longevity and inform the renourishment interval required to maintain shoreline protection. This study uses a combination of topobathymetric surveys, high-resolution satellite-derived shorelines, and coastal engineering analyses to investigate the recent evolution of Minnesota Point and the fate of three beach nourishments constructed adjacent to littoral barriers. We use semi-empirical formulations for sediment compatibility, wave runup, and longshore sediment transport to inform the observed nourishment behavior. Minnesota Point experienced widespread foredune retreat averaging 7±2.8 m from 2009–2019 and 130,000 (70,000–140,000) m3 of sediment was eroded during this interval. The 2019 nourishment at the Superior Entry was rapidly eroded by strong storms, losing >80% of the added beach width by the following spring. The 2020 and 2021 nourishments at the Duluth Entry retained >80% of the nourishment material at the time of the last topobathymetric survey in the fall of 2022, and satellite-derived shorelines indicate that the beach remained 10 m wider than pre-nourishment conditions at the end of 2023. Modeled longshore transport rates over the period 2009–2022 averaged 11,400 m3 yr−1 northwestward at the Superior Entry, nearly 3x greater than the 4000 m3 yr−1 southeastward transport modeled at the Duluth Entry. These observations show that differences in shoreline orientation, littoral sediment supply, and grain size compatibility can lead to contrasting beach nourishment longevities, and this study provides additional measurements of Minnesota Point’s long-term morphological change which can help inform coastal resiliency efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102459","usgsCitation":"Roland, C., Groten, J.T., Lund, J., and Hanson, J.L., 2025, Beach nourishment response and recent morphological evolution of Minnesota Point, Lake Superior: Journal of Great Lakes Research, v. 51, no. 4, 102459, 21 p., https://doi.org/10.1016/j.jglr.2024.102459.","productDescription":"102459, 21 p.","ipdsId":"IP-167678","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102459","text":"Publisher Index Page"},{"id":492830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","city":"Duluth, Superior","otherGeospatial":"Minnesota Point","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.11687484166973,\n 46.79169814336808\n ],\n [\n -92.11687484166973,\n 46.69589459379978\n ],\n [\n -92.00223407990056,\n 46.69589459379978\n ],\n [\n -92.00223407990056,\n 46.79169814336808\n ],\n [\n -92.11687484166973,\n 46.79169814336808\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, J. William 0000-0002-8830-4468","orcid":"https://orcid.org/0000-0002-8830-4468","contributorId":289132,"corporation":false,"usgs":true,"family":"Lund","given":"J. William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Jenny L. 0000-0001-8353-6908 jhanson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-6908","contributorId":461,"corporation":false,"usgs":true,"family":"Hanson","given":"Jenny","email":"jhanson@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269959,"text":"70269959 - 2025 - Evaluating large wood additions as a scalable method of urban stream restoration","interactions":[],"lastModifiedDate":"2025-11-20T16:47:10.943884","indexId":"70269959","displayToPublicDate":"2025-07-22T09:35:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating large wood additions as a scalable method of urban stream restoration","docAbstract":"Urbanization is associated with increased erosion and habitat homogenization in stream ecosystems. This habitat degradation often has biological consequences, such as decreased species richness. Conventional stream restoration practices are costly, and projects are limited to small areas with easy access. A scalable, low-cost method of stream restoration is needed to address the widespread degradation occurring in urban streams. Large wood (LW) is an important element in stream ecosystems that is typically abundant in forested watersheds but scarce in urban streams. LW can reduce water velocities, generate pool habitat, decrease erosion, and provide cover for aquatic organisms. In this study, we performed experimental LW installations to assess the capacity of LW restoration to improve habitat and reduce sediment transport in an urban headwater stream in Cincinnati, Ohio. We tracked the geomorphic effects of these installations using a before-after-control-impact study design in four 60-m reaches, two treatment and two control, over a 1.5-year period to investigate the following questions: (1) Will unanchored LW additions remain stable in a flashy urban stream? (2) Will LW additions increase the availability of pool habitat? (3) Will wood additions increase bed stability and modify sediment size distributions? We found that LW installations rapidly increased pool habitat availability (size) around stable jams, but a majority of the LW jams were frequently mobilized and reconfigured by high-flow events. LW additions had no significant impact on the probability of stream bed mobilization, likely due to the instability of LW; however, the distance particles traveled once mobilized significantly decreased. While LW additions can increase the availability of pool habitat in urban headwater streams, further investigation is needed to understand the stability of such structures and the environmental context where these additions will be most beneficial.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70007","usgsCitation":"Grap, P., Matter, S., Lehmann, A., Ward, D., and Booth, M., 2025, Evaluating large wood additions as a scalable method of urban stream restoration: River Research and Applications, v. 41, no. 9, p. 2032-2051, https://doi.org/10.1002/rra.70007.","productDescription":"20 p.","startPage":"2032","endPage":"2051","ipdsId":"IP-175806","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","county":"Hamilton County","otherGeospatial":"Cooper Creek, Mill Creek","volume":"41","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Grap, Peter","contributorId":357014,"corporation":false,"usgs":false,"family":"Grap","given":"Peter","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":945054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matter, Stephen F.","contributorId":359214,"corporation":false,"usgs":false,"family":"Matter","given":"Stephen F.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehmann, Adam","contributorId":357020,"corporation":false,"usgs":false,"family":"Lehmann","given":"Adam","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":945056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Dylan","contributorId":265490,"corporation":false,"usgs":false,"family":"Ward","given":"Dylan","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":945057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Booth, Michael Thomas 0000-0002-9842-085X","orcid":"https://orcid.org/0000-0002-9842-085X","contributorId":357011,"corporation":false,"usgs":true,"family":"Booth","given":"Michael Thomas","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269761,"text":"70269761 - 2025 - Blowing in the wind: Anemochory in blackbrush habitat of South Texas","interactions":[],"lastModifiedDate":"2025-11-20T16:43:14.129544","indexId":"70269761","displayToPublicDate":"2025-07-22T09:30:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Blowing in the wind: Anemochory in blackbrush habitat of South Texas","docAbstract":"Wind dispersal has the potential to carry seeds long-distances and could inform the management and restoration of natural vegetation along the U.S.-Mexico Border. Plant species with the potential to disperse seeds in arid landscapes fragmented by border barrier infrastructure include foundational native, invasive, and federally endangered plant species. Wind dispersal traps constructed of cloth were set facing into the prevailing wind direction (SE) to characterize the role of wind in transporting soil particles, pebbles, plant debris, and seeds in blackbrush habitat during maximum events of wind speed (km per hour), and precipitation (cm). Shrubs, native grasses, the invasive Pennisetum ciliare (buffelgrass), soil particles, and pebbles dispersed in the wind, especially during maximum wind and/or precipitation events. Natural blackbrush areas supported the wind dispersal of twelve native species including grasses and woody shrubs. Sites disturbed by border infrastructure (barrier, roads, waterways) had higher seed numbers of invasive species such as P. ciliare captured in the wind traps. While modifications in passages through waterways and other structures have been proposed to improve the movement of organisms influenced by the barrier, the restoration of native plant species in damaged areas might further aid in the maintenance of blackbrush ecosystems by reducing invasive plant species dispersal into natural habitats.
","language":"English","publisher":"Springer","doi":"10.1007/s11258-025-01527-9","usgsCitation":"Middleton, B., and Lain, E., 2025, Blowing in the wind: Anemochory in blackbrush habitat of South Texas: Plant Ecology, v. 226, p. 1057-1064, https://doi.org/10.1007/s11258-025-01527-9.","productDescription":"8 p.","startPage":"1057","endPage":"1064","ipdsId":"IP-167847","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":493240,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Arroyo Morteros, Arroyo Ramirez, Cuellar tract, Lower Rio Grande Valley National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.86537923681847,\n 27.90301608157847\n ],\n [\n -99.19865426109092,\n 26.168012208444026\n ],\n [\n -97.2958075042999,\n 25.753100816726878\n ],\n [\n -97.08690291521907,\n 25.9785258529746\n ],\n [\n -98.88941956966367,\n 26.540145638316744\n ],\n [\n -99.47996857108726,\n 27.671219788235106\n ],\n [\n -99.86537923681847,\n 27.90301608157847\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"226","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":944575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lain, Emily J.","contributorId":358948,"corporation":false,"usgs":false,"family":"Lain","given":"Emily J.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":944576,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269581,"text":"70269581 - 2025 - Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","interactions":[],"lastModifiedDate":"2025-09-09T14:45:30.640888","indexId":"70269581","displayToPublicDate":"2025-07-22T08:59:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area","docAbstract":"Strategies animals use to navigate human-dominated landscapes frequently mimic anti-predator responses employed by prey species. Understanding how large carnivores respond to outdoor recreation is important for conservation, particularly in protected areas with preservation mandates. Visitation to Yellowstone National Park doubled from 1980 to 2015, increasing the need to examine potential changes in behavior of grizzly bears (Ursus arctos) in relation to human recreation sites (trails, backcountry campsites). We developed integrated step-selection functions to explore how recreation sites influenced the movement rate and selection by male and female grizzly bears. Further, we tested whether time of day (diurnal, crepuscular, nocturnal) and restrictions to human access (i.e., restricted, unrestricted) modified bear responses and then compared behaviors based on proximity to recreation sites. Male grizzly bears used trails to travel during crepuscular and nocturnal hours and exhibited more pronounced behavior in restricted areas compared with unrestricted areas, suggesting recreation in unrestricted areas influenced the behavior of male bears. In contrast, female bears varied their movement rate and selection of trails in restricted areas much more than in unrestricted areas, suggesting females may make security tradeoffs between male bears and people. Both sexes used trails, likely as energetically efficient travel corridors; however, our analyses did not indicate that bears spent time near backcountry campsites. The sex-based differences in selection and movement patterns associated with trails and campsites suggest a single management approach for recreation may not equally benefit all bears. Recreation impacts on wildlife are complex to characterize and predict, but simultaneously modeling movement and selection provides a more comprehensive assessment of strategies animals use to navigate perceived risk.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70068","usgsCitation":"Loggers, E., Litt, A.R., Haroldson, M., Gunther, K.A., and van Manen, F.T., 2025, Female and male grizzly bears differ in their responses to low-intensity recreation in a protected area: Journal of Wildlife Management, v. 89, no. 7, e70068, 24 p., https://doi.org/10.1002/jwmg.70068.","productDescription":"e70068, 24 p.","ipdsId":"IP-174424","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":493317,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70068","text":"Publisher Index Page"},{"id":492993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.05465697234523,\n 45.04848474160275\n ],\n [\n -111.05465697234523,\n 44.132997929608706\n ],\n [\n -110.00606720612153,\n 44.132997929608706\n ],\n [\n -110.00606720612153,\n 45.04848474160275\n ],\n [\n -111.05465697234523,\n 45.04848474160275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Loggers, Elise","contributorId":331713,"corporation":false,"usgs":false,"family":"Loggers","given":"Elise","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":944102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":944104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":944105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274005,"text":"70274005 - 2025 - Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","interactions":[],"lastModifiedDate":"2026-02-20T16:11:51.850785","indexId":"70274005","displayToPublicDate":"2025-07-21T10:05:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species","docAbstract":"Knowledge of animal-movement patterns is a crucial component in identifying areas with high potential for human–wildlife conflict and in prioritizing associated management actions. Electrical energy infrastructure is a major source of mortality for animals worldwide, with millions of birds colliding with or being electrocuted by power lines and power-pole infrastructure each year. Movement, habitat use, and the spatial distribution of electrocution risk can vary with age, but studies of younger age classes are often hampered because these groups are difficult to observe and lack well-defined home ranges. To identify movement patterns and high-use areas of bald eagles in Arizona, USA, we analyzed global positioning system (GPS) telemetry data collected from 13 immature bald eagles (Haliaeetus leucocephalus) across Arizona between 2017 and 2023. We built multi-scale, integrated step-selection functions that evaluated eagle responses to a suite of environmental covariates. We then used these models to simulate eagle movement and predict habitat use within and surrounding Maricopa County, which contains both the Phoenix Metropolitan Area and the plurality of bald eagle breeding areas in Arizona. We provide a use case for how these simulated movements could be used by resource managers to identify high-risk areas for electrocution. Eagles avoided urban areas and selected steeper slopes, more pronounced ridges, and areas with greater water and wetland land cover. Predicted habitat use by bald eagles was greatest near waterbodies and along ridges and steep slopes, and indicated where power infrastructure may pose greater electrocution risk. We show how integrated step-selection analyses and movement path simulation may be used for subadult animals lacking stable home ranges to predict high-use areas and identify locations with greater potential for negative human–wildlife interactions.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70061","usgsCitation":"Cappello, C. ., Jacobson, K.V., Driscoll, J.T., McCarty, K.M., Bauder, J.M., 2025, Using integrated step-selection analyses to map high-risk electrocution areas for a highly mobile species: Journal of Wildlife Management, v. 89, no. 7, e70061, 19 p., https://doi.org/10.1002/jwmg.70061.","productDescription":"e70061, 19 p.","ipdsId":"IP-178672","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.5,\n 34.1\n ],\n [\n -113.5,\n 32.5\n ],\n [\n -111,\n 32.5\n ],\n [\n -111,\n 34.1\n ],\n [\n -113.5,\n 34.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cappello, Caroline D.","contributorId":366625,"corporation":false,"usgs":false,"family":"Cappello","given":"Caroline","middleInitial":" D.","affiliations":[{"id":81133,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":956103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Kenneth V.","contributorId":366626,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth","middleInitial":"V.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, James T.","contributorId":366627,"corporation":false,"usgs":false,"family":"Driscoll","given":"James","middleInitial":"T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Kyle M.","contributorId":366629,"corporation":false,"usgs":false,"family":"McCarty","given":"Kyle","middleInitial":"M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273993,"text":"70273993 - 2025 - Shared leadership can promote success in collaborative research networks in ecology","interactions":[],"lastModifiedDate":"2026-02-24T14:55:18.949074","indexId":"70273993","displayToPublicDate":"2025-07-21T09:03:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shared leadership can promote success in collaborative research networks in ecology","docAbstract":"1. While collaborative science is becoming the norm in ecology, many ecologists participating in collaborations are less aware of the body of research that studies the processes by which collaborative teams organize and communicate.
2. Here, we discuss how we successfully used a shared leadership model in the Dry Rivers Research Coordination Network. We discuss how this model promote dour success in different stages of the project, using the Tuckman model of team development: forming, storming, norming, performing and adjourning.
3. Shared leadership in the forming phase helped us recruit a diverse membership from different scientific disciplines. In the storming and norming phases, shared leadership was especially useful in ensuring that all voices were heard in establishing group norms that promoted adhesion among and investment by RCN members. Shared leadership in the performing phase was crucial in providing opportunities for early career members to lead projects, and in the adjourning phase we reflected upon our entire collaboration to identify that shared leadership was crucial to our success, generating the thesis for this commentary.
4. It is our hope that others may find this discussion of our experience in implementing a shared leadership model useful in developing their own fruitful collaborations.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70109","usgsCitation":"Allen, D.C., Burgin, A.J., Seybold, E.C., Dodds, W.K., Busch, M.H., Bergstrom, A., Krabbenhoft, C.A., Boersma, K.S., Stegen, J.C., Olden, J.D., Atkinson, C.L., Jones, C.N., Datry, T., Godsey, S.E., Shogren, A.J., Walters, A.W., Plont, S., Walker, R.H., Shanafield, M., Mims, M.C., Price, A.N., Smith, C.R., You, Y., Bogan, M.T., Burrows, R.M., Messager, M.L., Stubbington, R., Zimmer, M.A., 2025, Shared leadership can promote success in collaborative research networks in ecology: Functional Ecology, 9 p., https://doi.org/10.1111/1365-2435.70109.","productDescription":"9 p.","ipdsId":"IP-176946","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500600,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70109","text":"Publisher Index Page"},{"id":500414,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":956032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgin, Amy J.","contributorId":366528,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seybold, Erin C.","contributorId":366529,"corporation":false,"usgs":false,"family":"Seybold","given":"Erin","middleInitial":"C.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":956034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodds, Walter K.","contributorId":366531,"corporation":false,"usgs":false,"family":"Dodds","given":"Walter","middleInitial":"K.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":956035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Busch, Michelle H.","contributorId":366533,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","middleInitial":"H.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":956036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergstrom, Anna 0000-0002-9684-4018","orcid":"https://orcid.org/0000-0002-9684-4018","contributorId":289664,"corporation":false,"usgs":false,"family":"Bergstrom","given":"Anna","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":956037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, Corey A.","contributorId":366536,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Corey","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":956038,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boersma, Kate S.","contributorId":366537,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","middleInitial":"S.","affiliations":[{"id":34010,"text":"University of San Diego","active":true,"usgs":false}],"preferred":false,"id":956039,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stegen, James C.","contributorId":366539,"corporation":false,"usgs":false,"family":"Stegen","given":"James","middleInitial":"C.","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":956040,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Olden, Julian D.","contributorId":366541,"corporation":false,"usgs":false,"family":"Olden","given":"Julian","middleInitial":"D.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":956041,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Atkinson, Carla L.","contributorId":366543,"corporation":false,"usgs":false,"family":"Atkinson","given":"Carla","middleInitial":"L.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":956042,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, C. 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During 2016–22, 261 springs were visited in the volcanic terrane of eastern Oregon and northern Nevada. When conditions were suitable, measurements of discharge, water temperature, and specific conductance were made, and samples for the analysis of carbon-14, tritium, and water stable isotopes (WSI) were collected. A subset of 60 springs was revisited during different seasons in the same year and during the dry season in multiple years to evaluate variability in discharge, chemistry, and groundwater age. Specific conductance and WSI varied considerably among springs across the study area but were unexpectedly stable across seasons and years at individual springs. Seasonal and interannual variability in spring discharge was related to the residence time of the discharging groundwater. Springs discharging older groundwater (103–104 years) had significantly less variability in their discharge compared to springs discharging younger groundwater (100–101 years). Variability among springs discharging younger groundwater included cessation of late-summer discharge at 18 % of the repeat-visit springs. A logistic regression model predicted the age of discharging spring water with 89 % accuracy using only the spring latitude, longitude, elevation, and δ2H value. This study framework provides a simple, inexpensive, and robust method to provisionally assess the hydrologic behavior of springs having little or no prior information in understudied, semiarid regions across the globe.
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Model accuracy was 0.83 for sub-watersheds that contained training data and decreased to 0.67 for sub-watersheds that did not have observations of late summer surface flow. The model identified where predictions extrapolated beyond the domain characterized by the training data. The combination of spatially continuous estimates of late summer streamflow status along with uncertainty and extrapolation estimates provide critical information for strategic project planning and designing additional field data collection.
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Center","active":false,"usgs":true}],"preferred":true,"id":943799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barker, Matthew Irwin 0000-0002-5286-4930","orcid":"https://orcid.org/0000-0002-5286-4930","contributorId":358465,"corporation":false,"usgs":true,"family":"Barker","given":"Matthew Irwin","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heaston, Emily Dawn 0000-0002-3949-391X","orcid":"https://orcid.org/0000-0002-3949-391X","contributorId":290618,"corporation":false,"usgs":true,"family":"Heaston","given":"Emily","email":"","middleInitial":"Dawn","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":943801,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":943802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wing, Michael G.","contributorId":358467,"corporation":false,"usgs":false,"family":"Wing","given":"Michael G.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":943803,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Staab, Brian","contributorId":358469,"corporation":false,"usgs":false,"family":"Staab","given":"Brian","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":943804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brown, Michael E.","contributorId":358471,"corporation":false,"usgs":false,"family":"Brown","given":"Michael E.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":943805,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268790,"text":"sir20255054 - 2025 - Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2026-02-03T14:29:12.653472","indexId":"sir20255054","displayToPublicDate":"2025-07-18T13:39:29","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5054","displayTitle":"Hydrogeologic Framework and Conceptual Model of the Red River Alluvial Aquifer East of Lake Texoma, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic framework and conceptual model of the Red River alluvial aquifer east of Lake Texoma, southeastern Oklahoma, 1980–2022","docAbstract":"The 1973 Oklahoma Groundwater Law (Oklahoma Statutes §82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. At present (2025), the Oklahoma Water Resources Board has not established a maximum annual yield for the Red River alluvial aquifer east of Lake Texoma. To support the evaluation and determination of a maximum annual yield, a hydrogeologic framework and conceptual groundwater-flow model were developed to assess groundwater availability in the Red River alluvial aquifer east of Lake Texoma.
The scope of this hydrologic investigation is the alluvium and terrace containing the Red River alluvial aquifer in Oklahoma between Lake Texoma, the Texas State line, and the Arkansas State line, an extent referred to in this report as “the eastern part of the Red River alluvial aquifer.” Parts of the alluvium and terrace extent in Arkansas and Texas are included in some analyses to address hydrologic influences from outside the aquifer’s boundaries in Oklahoma.
The eastern part of the Red River alluvial aquifer in southeastern Oklahoma consists of approximately 401,280 acres of Quaternary alluvium and terrace deposits associated with the Red River and its major tributaries. Mean annual recharge to the aquifer for the 1980–2022 study period was estimated to be 8.62 inches per year, or 17.98 percent of the mean annual precipitation over the same period (47.94 inches). This mean annual recharge rate is equivalent to an inflow of approximately 288,250 acre-feet per year for the eastern part of the Red River alluvial aquifer. Recharge estimated using the Soil-Water-Balance code accounts for 98.7 percent of the conceptual-model inflows to the eastern part of the Red River alluvial aquifer. Saturated-zone evapotranspiration accounts for 11.9 percent and net streambed seepage accounts for 87.4 percent of the outflows in the conceptual model.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"The factors controlling the spatial distribution and temporal evolution of earthquake swarms in volcanic systems remain unclear. We leverage leading-edge deep learning algorithms and a detailed three-dimensional velocity model to construct a 15-year high-resolution earthquake catalog of the Yellowstone caldera region. More than half of the region’s earthquakes are clustered into swarm-like families characterized by episodes of hypocenter expansion and migration. Adjacent earthquake swarms, separated by long quiescent periods, are found to be a dominant feature. We suggest that these swarms are controlled by the interplay between slowly diffusing aqueous fluids and rapid episodic fluid injections, which may result from the breaking of permeability seals. Our analyses also indicate that clustered seismicity beneath the caldera occurs on relatively immature, rougher fault structures, compared to more planar faults outside. Our results provide additional context for understanding seismicity in hydrothermal systems, highlighting the key role played by long-term fluid diffusion processes in driving the occurrence of earthquake swarms.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adv6484","usgsCitation":"Florez, M., Li, B.Q., Shelly, D.R., Angulo, M., and Sanabria-Gomez, J., 2025, Long-term dynamics of earthquake swarms in the Yellowstone caldera: Science Advances, v. 11, no. 29, eadv6484, 10 p., https://doi.org/10.1126/sciadv.adv6484.","productDescription":"eadv6484, 10 p.","ipdsId":"IP-175431","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":495178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adv6484","text":"Publisher Index Page"},{"id":495121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.2,\n 44.85\n ],\n [\n -111.2,\n 44.1\n ],\n [\n -110.2,\n 44.1\n ],\n [\n -110.2,\n 44.85\n ],\n [\n -111.2,\n 44.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"29","noUsgsAuthors":false,"publicationDate":"2025-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Florez, Manuel","contributorId":360774,"corporation":false,"usgs":false,"family":"Florez","given":"Manuel","affiliations":[{"id":86102,"text":"Universidad Industrial de Santander, Colombia","active":true,"usgs":false}],"preferred":false,"id":947632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Bing Q.","contributorId":360823,"corporation":false,"usgs":false,"family":"Li","given":"Bing","middleInitial":"Q.","affiliations":[],"preferred":false,"id":947633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":947634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angulo, Mia","contributorId":360775,"corporation":false,"usgs":false,"family":"Angulo","given":"Mia","affiliations":[{"id":86102,"text":"Universidad Industrial de Santander, Colombia","active":true,"usgs":false}],"preferred":false,"id":947635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanabria-Gomez, Jose","contributorId":360776,"corporation":false,"usgs":false,"family":"Sanabria-Gomez","given":"Jose","affiliations":[{"id":86102,"text":"Universidad Industrial de Santander, Colombia","active":true,"usgs":false}],"preferred":false,"id":947636,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269434,"text":"70269434 - 2025 - Tailwater residency patterns of Silver Carp at Kentucky Lock and Dam","interactions":[],"lastModifiedDate":"2025-08-18T15:15:37.43118","indexId":"70269434","displayToPublicDate":"2025-07-18T09:35:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Tailwater residency patterns of Silver Carp at Kentucky Lock and Dam","docAbstract":"The management of invasive Silver Carp Hypophthalmichthys molitrix in the Tennessee River basin focuses on removal, and there is interest in extending removal efforts to the tailwater environments of high-head locks and dams along the Tennessee River, such as Kentucky Dam. We used acoustic telemetry data from Silver Carp to understand important ecological associations underlying their residence in the Kentucky Dam tailwater, measured by daily fish counts and mean residence time.
We used time-series-informed regression models, variance partitioning, and cross-correlation function analysis to associate six predictors, including lock and dam operations (total, spill gate, and turbine discharge and number of lockages), hydrology (tailwater elevation), and water temperature, with two measures of Silver Carp residency (daily counts and mean residence time).
We found that spill-induced hydrology (total discharge + spill discharge + tailwater elevation) was negatively associated with daily counts but not with residence time, whereas temperature was positively associated with counts and negatively associated with residence times. Variance partitioning indicated that nearly all the variance in counts and residence times was jointly explained by temporal effects, lock and dam operations (discharge, tailwater elevation, and lockages), and temperature. The cross-correlations indicated that the counts were lagged by all predictors, sometimes up to 5 d, whereas residence times were lagged by both total and spill discharge and number of lockages.
We found that discharge and water temperature were principally associated with residency of Silver Carp in the Kentucky Dam tailwater. However, these associations were entirely temporally constrained, which can affect how strongly and how quickly Silver Carp respond to changing environmental conditions across different time scales. Managers can leverage these associations to plan removal periods where daily tailwater conditions/dam operations are favorable to invasive carp residence (e.g., >10°C and <2,500 m3/s) and adjust fishing effort to optimize removal rates in response to changing conditions.
DDiel activity rhythms, representing the behavioral pattern of the sleep–wake cycle, may be adjusted by wildlife in response to changes in environmental conditions. An increase in nocturnality is typically recognized as an adaptive strategy to segregate from humans and mitigate heat stress. Numerous studies have investigated spatial patterns and habitat use of large carnivores in human-modified landscapes, but little research has examined their activity rhythms. We compiled Global Positioning System data (2004–2022) for 139 brown bears Ursus arctos from six populations across Europe, representing a human-modified landscape, and the Greater Yellowstone Ecosystem, U.S.A., representing a landscape with limited human impact, which we used to calculate hourly movement rates as an activity proxy. Using a Bayesian approach to model the temporal autocorrelation of activity data, we tested if the extent of nocturnality in brown bears is modulated by intensity of human encroachment, accounting for primary productivity and maximum ambient temperature. All bear populations exhibited a predominantly bimodal, crepuscular pattern of activity, although Yellowstone bears were proportionally more crepuscular and diurnal. Whereas the effect of primary productivity was variable, all European populations became more nocturnal in response to higher human encroachment and reduced diurnal and crepuscular activity at higher summer temperatures, decreasing overall diel activity levels. Yellowstone bears displayed the greatest shift towards nocturnality among all populations in response to increasing human encroachment, and increased nocturnal activity to compensate for lower diurnal and crepuscular activity at higher summer temperatures. Our research indicates that European bears in human-modified landscapes may be reaching a limit in the behavioral plasticity they can manifest in their activity patterns, being already constrained into increased nocturnality. Our findings enhance the understanding of brown bear adaptive capacity to accommodate future changes, such as urbanization and increasing temperatures, to the ecosystems they inhabit.
","language":"English","publisher":"Wiley","doi":"10.1002/ecog.07979","usgsCitation":"Donatelli, A., Ćirović, D., Haroldson, M.A., Huber, Đ., Kindberg, J., Kojola, I., Kusak, J., Mastrantonio, G., Ordiz, A., Reljić, S., Santini, L., van Manen, F.T., and Ciucci, P., 2025, The diel niche of brown bears: Constraints on adaptive capacity in human-modified landscapes: Ecography, v. 2025, no. 10, e07979, 15 p., https://doi.org/10.1002/ecog.07979.","productDescription":"e07979, 15 p.","ipdsId":"IP-174846","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":493787,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.07979","text":"Publisher Index Page"},{"id":492607,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Croatia, Finland, Italy, Russia, Serbia, Sweden, United States","geographicExtents":"{\n \"type\": 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{\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 26.065014230773016,\n 66.4956143647446\n ],\n [\n 21.838974021425116,\n 61.559558551218515\n ],\n [\n 35.445586179009155,\n 62.062182578354594\n ],\n [\n 33.9840528412233,\n 66.40839952587402\n ],\n [\n 26.065014230773016,\n 66.4956143647446\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, A.","contributorId":358394,"corporation":false,"usgs":false,"family":"Donatelli","given":"A.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":943647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ćirović, D.","contributorId":358396,"corporation":false,"usgs":false,"family":"Ćirović","given":"D.","affiliations":[{"id":85615,"text":"University of 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Research","active":true,"usgs":false}],"preferred":false,"id":943651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kojola, I.","contributorId":358398,"corporation":false,"usgs":false,"family":"Kojola","given":"I.","affiliations":[{"id":40380,"text":"Natural Resources Institute Finland","active":true,"usgs":false}],"preferred":false,"id":943652,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kusak, J.","contributorId":358399,"corporation":false,"usgs":false,"family":"Kusak","given":"J.","affiliations":[{"id":63829,"text":"University of Zagreb","active":true,"usgs":false}],"preferred":false,"id":943653,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mastrantonio, G.","contributorId":358400,"corporation":false,"usgs":false,"family":"Mastrantonio","given":"G.","affiliations":[{"id":85617,"text":"Department of Mathematics","active":true,"usgs":false}],"preferred":false,"id":943654,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ordiz, A.","contributorId":358401,"corporation":false,"usgs":false,"family":"Ordiz","given":"A.","affiliations":[{"id":85618,"text":"Departamento de Biodiversidad y Gestión Ambiental","active":true,"usgs":false}],"preferred":false,"id":943655,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reljić, S.","contributorId":358402,"corporation":false,"usgs":false,"family":"Reljić","given":"S.","affiliations":[{"id":63829,"text":"University of Zagreb","active":true,"usgs":false}],"preferred":false,"id":943656,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Santini, L.","contributorId":358403,"corporation":false,"usgs":false,"family":"Santini","given":"L.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":943657,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":943658,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ciucci, P.","contributorId":358405,"corporation":false,"usgs":false,"family":"Ciucci","given":"P.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":943659,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70269707,"text":"70269707 - 2025 - Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions","interactions":[],"lastModifiedDate":"2025-07-30T15:06:19.598148","indexId":"70269707","displayToPublicDate":"2025-07-18T07:58:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22155,"text":"Smart Agricultural Technology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions","docAbstract":"Cover crops play a critical role in providing agroecological services such as improving soil health, reducing erosion and nitrogen loss, and suppressing weeds, which are closely tied to their performance such as accumulated biomass. This study evaluated the Active Canopy Sensor (ACS) -214, an active proximal sensing device equipped with its own light-emitting red and near-infrared spectral reflectance sensors, a time-of-flight laser, and an ultrasonic sensor, for estimating winter cover crop biomass across 13 U.S. states from 2020 to 2024. We assessed 11 species from three functional groups – grasses (n = 797), legumes (n = 264), and brassicas (n = 181) – using Random Forest (RF) models and four cross-validation strategies. The ACS-214 showed moderate to strong prediction accuracy for grasses (R2 = 0.51 – 0.64) and legumes (R2 = 0.44 – 0.76), though performance declined in leave-one-region-out analyses (R2 = 0.06 – 0.46), indicating limited spatial generalizability. Brassica models had low prediction accuracy for all models (R2 < 0.30), likely due to flowering and patchy growth. Biomass prediction breakpoints were observed at ∼3000 kg ha−1 for legumes and ∼4000 kg ha−1 for grasses. We also evaluated the effectiveness of using ACS-214 data to train Sentinel-2 satellite imagery for estimating grass cover crop biomass using withheld, out of bag data from 2023 to 2024. Sentinel-2 RF models trained with ACS-214 data showed good agreement with field-sampled (R2 = 0.58 – 0.61) and ACS-214-estimated biomass (R2 = 0.70). While Sentinel-2 offers scalability, the ACS-214 enables finer-resolution biomass mapping and better accounts for within-field variability, making it an effective tool for localized management and monitoring. These findings support the integration of proximal and satellite sensing approaches to enhance cover crop biomass estimation and agroecological assessment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.atech.2025.101201","usgsCitation":"Jennewein, J., Davis, B., Seehaver-Eagan, S., Nicolette, J., Pittman, J., Hively, W.D., Goldsmith, A., Hidalgo, C., Reberg-Horton, C., and Mirsky, S., 2025, Multi-sensor proximal remote sensing for cover crop biomass estimation at high and moderate spatial resolutions: Smart Agricultural Technology, v. 12, 101201, 22 p., https://doi.org/10.1016/j.atech.2025.101201.","productDescription":"101201, 22 p.","ipdsId":"IP-179201","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":493304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atech.2025.101201","text":"Publisher Index Page"},{"id":493188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Indiana, Iowa, Kansas, Maryland, Missouri, North Carolina, Ohio, New Hampshire, Vermont, Virginia, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.92714553560637,\n 43.58854319693313\n ],\n [\n -95.89232587289348,\n 37.62183341552925\n ],\n [\n -89.95992461869106,\n 37.07043638610585\n ],\n [\n -88.56407871751861,\n 30.53924077937387\n ],\n [\n -87.95786849494071,\n 30.079081766107564\n ],\n [\n -79.28622937957765,\n 30.005749406912585\n ],\n [\n -71.27060896702632,\n 45.07860396784778\n ],\n [\n -86.55806437204849,\n 45.188229262227445\n ],\n [\n -91.6664764308591,\n 46.72848518852835\n ],\n [\n -96.92714553560637,\n 43.58854319693313\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":944485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Brian W. 0000-0003-0714-5133","orcid":"https://orcid.org/0000-0003-0714-5133","contributorId":358921,"corporation":false,"usgs":false,"family":"Davis","given":"Brian W.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":944486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seehaver-Eagan, S. 0009-0002-1048-9623","orcid":"https://orcid.org/0009-0002-1048-9623","contributorId":358924,"corporation":false,"usgs":false,"family":"Seehaver-Eagan","given":"S.","affiliations":[{"id":85715,"text":"North Carolina State University (NCSU)","active":true,"usgs":false}],"preferred":false,"id":944487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolette, J. 0000-0002-8904-2391","orcid":"https://orcid.org/0000-0002-8904-2391","contributorId":358925,"corporation":false,"usgs":false,"family":"Nicolette","given":"J.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":944488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pittman, J.","contributorId":358926,"corporation":false,"usgs":false,"family":"Pittman","given":"J.","affiliations":[{"id":85718,"text":"BAER","active":true,"usgs":false}],"preferred":false,"id":944489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hively, W. 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Mazama (Crater Lake), USA","interactions":[],"lastModifiedDate":"2025-07-28T14:58:44.447972","indexId":"70269608","displayToPublicDate":"2025-07-17T07:52:22","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":"New insights into gas-driven phase segregation in andesitic enclaves from Mt. Mazama (Crater Lake), USA","docAbstract":"A key process in active magmatic systems is the “recharge” of deep-sourced mafic magma into cooler, more evolved, and crystal-rich shallow reservoirs; recharge may be the cause of, or response to, eruptive activity. Although compositional evidence for recharge has been extensively documented, physical models of recharge are limited, particularly processes that\nseparate exsolving volatiles and melts from rapidly growing crystals. To improve constraints on phase separation behaviors, we re-examine andesitic enclaves in silicic andesite lava flows of Mt. Mazama (Crater Lake), USA, that provided early evidence of gas-driven filter pressing (Bacon, 1986). 2D and 3D imaging shows that enclaves have a sample-spanning crystal\nframework that is disrupted by melt patches, indicating that initially deformable crystal networks were subject to early phase reorganization. Small enclaves are poorly vesicular and require early gas loss. Large enclaves have porous cores with angular (diktytaxitic) voids that are well-connected in 3D and denser rinds with isolated pores. Large enclave rinds have similar bulk\ncompositions to small enclaves but their less evolved cores require ~ 20% melt removal. In the large enclave, diktytaxitic core textures and gas fingering structures at the core–rind boundary suggest relatively slow late-stage outward gas migration. Both scaling arguments and evidence of outward gas/melt migration require a resistant rind. Rind formation is best explained by differential cooling and demonstrates the importance of thermal gradients for gas-driven filter pressing. A corollary is a limited time scale of recharge, enclave formation, and vesiculation to produce diktytaxitic textures, suggesting that recharge was (near) synchronous with eruption.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01855-8","usgsCitation":"Oppenheimer, J., Cashman, K., Rust, A.C., Bacon, C.R., Lindoo, A., and Dobson, K., 2025, New insights into gas-driven phase segregation in andesitic enclaves from Mt. Mazama (Crater Lake), USA: Bulletin of Volcanology, v. 87, no. 65, 65, 19 p., https://doi.org/10.1007/s00445-025-01855-8.","productDescription":"65, 19 p.","ipdsId":"IP-172926","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01855-8","text":"Publisher Index Page"},{"id":493002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake, Mt. Mazama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.18090601540398,\n 42.98586629991806\n ],\n [\n -122.18090601540398,\n 42.895897881682174\n ],\n [\n -122.0345881300828,\n 42.895897881682174\n ],\n [\n -122.0345881300828,\n 42.98586629991806\n ],\n [\n -122.18090601540398,\n 42.98586629991806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","issue":"65","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oppenheimer, Julie","contributorId":358795,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Julie","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":944172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Katharine V.","contributorId":40097,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine V.","affiliations":[],"preferred":false,"id":944173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rust, Alison C.","contributorId":196700,"corporation":false,"usgs":false,"family":"Rust","given":"Alison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":944174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindoo, Amanda","contributorId":344833,"corporation":false,"usgs":false,"family":"Lindoo","given":"Amanda","email":"","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":944176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobson, Katherine J.","contributorId":358798,"corporation":false,"usgs":false,"family":"Dobson","given":"Katherine J.","affiliations":[{"id":37954,"text":"University of Durham","active":true,"usgs":false}],"preferred":false,"id":944177,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271993,"text":"70271993 - 2025 - Global terrestrial nitrogen fixation and its modification by agriculture","interactions":[],"lastModifiedDate":"2025-09-30T15:37:10.058045","indexId":"70271993","displayToPublicDate":"2025-07-16T10:32:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Global terrestrial nitrogen fixation and its modification by agriculture","docAbstract":"Biological nitrogen fixation (BNF) is the largest natural source of new nitrogen (N) that supports terrestrial productivity1,2, yet estimates of global terrestrial BNF remain highly uncertain3,4. Here we show that this uncertainty is partly because of sampling bias, as field BNF measurements in natural terrestrial ecosystems occur where N fixers are 17 times more prevalent than their mean abundances worldwide. To correct this bias, we develop new estimates of global terrestrial BNF by upscaling field BNF measurements using spatially explicit abundances of all major biogeochemical N-fixing niches. We find that natural biomes sustain lower BNF, 65 (52–77) Tg N yr−1, than previous empirical bottom-up estimates3,4, with most BNF occurring in tropical forests and drylands. We also find high agricultural BNF in croplands and cultivated pastures, 56 (54–58) Tg N yr−1. Agricultural BNF has increased terrestrial BNF by 64% and total terrestrial N inputs from all sources by 60% over pre-industrial levels. Our results indicate that BNF may impose stronger constraints on the carbon sink in natural terrestrial biomes and represent a larger source of agricultural N than is generally considered in analyses of the global N cycle5,6, with implications for proposed safe operating limits for N use7,8.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-025-09201-w","usgsCitation":"Reis Ely, C., Perakis, S.S., Cleveland, C., Menge, D., Reed, S.C., Taylor, B., Batterman, S., Clark, C.M., Crews, T., Dynarski, K.A., Gei, M., Gundale, M., Herridge, D., Jovan, S.E., Kou-Giesbrecht, S., Peoples, M., Piipponen, J., Rodriguez-Caballero, E., Salmon, V., Soper, F.M., Staccone, A., Weber, B., Williams, C., and Wurzburger, N., 2025, Global terrestrial nitrogen fixation and its modification by agriculture: Nature, v. 643, p. 705-711, https://doi.org/10.1038/s41586-025-09201-w.","productDescription":"7 p.","startPage":"705","endPage":"711","ipdsId":"IP-163219","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":496330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-025-09201-w","text":"Publisher Index 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Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":949634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Cory C. 0000-0002-8804-4248","orcid":"https://orcid.org/0000-0002-8804-4248","contributorId":353556,"corporation":false,"usgs":false,"family":"Cleveland","given":"Cory C.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":949635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menge, Duncan 0000-0003-4736-9844","orcid":"https://orcid.org/0000-0003-4736-9844","contributorId":241126,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":949636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Benton 0000-0002-9834-9192","orcid":"https://orcid.org/0000-0002-9834-9192","contributorId":245071,"corporation":false,"usgs":false,"family":"Taylor","given":"Benton","email":"","affiliations":[{"id":49081,"text":"Smithsonian Environmental Research Center, Edgewater, MD, 21037 USA","active":true,"usgs":false}],"preferred":false,"id":949638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Batterman, Sarah A. 0000-0002-7703-9873","orcid":"https://orcid.org/0000-0002-7703-9873","contributorId":353558,"corporation":false,"usgs":false,"family":"Batterman","given":"Sarah 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Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":949644,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Herridge, David F. 0000-0002-0423-2517","orcid":"https://orcid.org/0000-0002-0423-2517","contributorId":353569,"corporation":false,"usgs":false,"family":"Herridge","given":"David F.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":949645,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jovan, Sarah E. 0000-0001-7860-4005","orcid":"https://orcid.org/0000-0001-7860-4005","contributorId":361180,"corporation":false,"usgs":false,"family":"Jovan","given":"Sarah","middleInitial":"E.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":949646,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kou-Giesbrecht, Sian 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system","interactions":[],"lastModifiedDate":"2025-12-12T16:23:39.187411","indexId":"70273007","displayToPublicDate":"2025-07-16T10:18:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system","docAbstract":"Predation establishes risk, which can indirectly influence prey behavior and ecology. We evaluated the influence of Mexican gray wolves (Canis lupus baileyi) on habitat selection and spatiotemporal predator avoidance strategies of elk (Cervus canadensis). We fit 866 adult female elk with GPS collars across areas of varying wolf densities within the Mexican wolf experimental population area of eastern Arizona and western New Mexico between 2019−2021. Using step-selection functions we examined relative intensity of elk use in relation to landscape attributes, estimated predator/prey diel activity, and measures of risk. Risk metrics included predicted wolf presence, habitat openness, and predicted risky places modeled from attributes of locations where wolves killed elk. Wolf activity varied across seasons and increased midday and night in fall and monsoon seasons. Relative use by elk was best explained by incorporating an interaction between diel period and predicted risky places across all seasons. Elk utilized risky places more in times of nutritional deficit associated with high energetic demands of the third trimester pregnancy and lactation and when forage quality was best, during spring and monsoon season. Particularly, use of risky places increased at less risky times in areas with more established wolf presence, suggesting use of risky places varied relative to exposure to Mexican wolves. These behaviors highlight the importance of temporal avoidance when predators and prey are highly mobile and largely overlap in space. Our research suggests temporally responding to predictable and relatively static environmental characteristics associated with encounter and kill rates may better balance energetic trade-offs than anticipating changes in wolf activity or spatially avoiding areas with higher wolf presence. Thus, elk appear to be more willing to take chances and mitigate cursorial predation risk with a more immediate, reactive approach and make proactive trade-offs during the seasons they can best increase fitness.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1613904","usgsCitation":"Thompson, C.J., Tatman, N.M., Farley, Z.J., Boyle, S.T., Greenleaf, A.R., and Cain, J.W., 2025, Spatiotemporal risk avoidance varies seasonally, relative to risk intensity, in a reestablishing predator–prey system: Frontiers in Ecology and Evolution, v. 13, 1613904, 17 p., https://doi.org/10.3389/fevo.2025.1613904.","productDescription":"1613904, 17 p.","ipdsId":"IP-178445","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":497705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1613904","text":"Publisher Index Page"},{"id":497479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.32284903489135,\n 35.0948138550403\n ],\n [\n -111.32284903489135,\n 32.96688100110357\n ],\n [\n -106.60492292551181,\n 32.96688100110357\n ],\n [\n -106.60492292551181,\n 35.0948138550403\n ],\n [\n -111.32284903489135,\n 35.0948138550403\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Cara J.","contributorId":363878,"corporation":false,"usgs":false,"family":"Thompson","given":"Cara","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatman, Nicole M.","contributorId":363881,"corporation":false,"usgs":false,"family":"Tatman","given":"Nicole","middleInitial":"M.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":952086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farley, Zachary J.","contributorId":363884,"corporation":false,"usgs":false,"family":"Farley","given":"Zachary","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyle, Scott T.","contributorId":363887,"corporation":false,"usgs":false,"family":"Boyle","given":"Scott","middleInitial":"T.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenleaf, Allison R.","contributorId":363890,"corporation":false,"usgs":false,"family":"Greenleaf","given":"Allison","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cain, James W. 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There are three species of tegu lizards native to South America and available in the pet trade that have a high risk of invasion and deleterious impacts to native ecosystems in the United States (US). There are four populations of the black and white tegu (Salvator merianae) in Florida and sightings as far north as North Carolina and west as California. Red tegus (S. rufescens) have been observed in Florida, and there is an established population of gold tegus (Tupinambis teguixin) in Florida. We updated previous distribution models for the contiguous United States (CONUS) that used occurrence points from their native range in South America to evaluate potential changes given current and future climate scenarios (+2 °C and +4 °C warming). Under current climate conditions, one or more tegu species have the potential to occupy most ecoregions in the CONUS. Under a + 4 °C warming scenario, suitable habitat increases by 11 % for S. merianae, 31 % for S. rufescens. The proportion of suitable habitat for T. teguixin was small under all scenarios, but increased from 0.0003 to 0.0017. For S. merianae, parts of Florida become less suitable, while suitability increases in this region for the other two species. Additionally, much of the western US is projected to be suitable for S. rufescens. Our case study underscores the potential for climate change to compound invasion threats that could outpace effective managerial responses.
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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5045","displayTitle":"Climate Change Impacts on Plant Communities in the Sagebrush Region—A Science Synthesis to Inform Bureau of Land Management Resource Management","title":"Climate change impacts on plant communities in the sagebrush region—A science synthesis to inform Bureau of Land Management resource management","docAbstract":"This report synthesizes current (2024) science-based knowledge related to the impacts of climate change on big sagebrush vegetation in Western North America. This effort was conducted through the U.S. Geological Survey working with the Bureau of Land Management as part of multiple science syntheses to aid management agencies developing environmental impacts assessments in response to human-related or caused events. This report reviews the potential impacts climate change may have on sagebrush vegetation and related management decisions. The body of the synthesis introduces the diverse impacts of climate change across the region by first focusing directly on what climate change may entail in terms of altered temperature and precipitation patterns. The report then discusses how these changes could likely affect individual plant species based on experimental results and scale the impacts to species distributions and community composition. The synthesis section ends by surveying efforts to model potential future changes in habitat. The report goes on to link the synthesis conclusions to individual land uses or land management decisions, such as forage resources, restoration or fuel treatment. Finally, the report provides a section that discusses the pros and cons of available datasets that model the potential future of vegetation in the sagebrush region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255045","collaboration":"Prepared in cooperation with Yale School of the Environment and Bureau of Land Management","usgsCitation":"Carpenter, S.M., Holdrege, M.C., Schlaepfer, D.R., Phillips, J., Griffin, P., Lauenroth, W.K., and Bradford, J.B., 2025, Climate change impacts on plant communities in the sagebrush region—A science synthesis to inform Bureau of Land Management resource management: U.S. Geological Survey Scientific Investigations Report 2025–5045, 60 p., https://doi.org/10.3133/sir20255045.","productDescription":"x, 60 p.","onlineOnly":"Y","ipdsId":"IP-158152","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492288,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5045/images"},{"id":492163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5045/sir20255045.pdf","text":"Report","size":"54.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5045"},{"id":492162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5045/coverthb.jpg"},{"id":492435,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255045/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5045"},{"id":492289,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5045/sir20255045.xml"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.47085655229651,\n 49.03087841335443\n ],\n [\n -109.36707098761016,\n 48.97533905613594\n ],\n [\n -108.59984126360919,\n 47.10350873556769\n ],\n [\n -111.17120403969128,\n 48.93205699878433\n ],\n [\n -110.72899206743233,\n 47.28774464917828\n ],\n [\n -114.81019931620497,\n 44.92767854204746\n ],\n [\n -118.26252607142581,\n 47.40161992530679\n ],\n [\n -120.96059041198399,\n 48.913826471813934\n ],\n [\n -121.51113648480029,\n 48.583049845013676\n ],\n [\n -122.22592814966379,\n 42.19558595467558\n ],\n [\n -120.23956000538604,\n 38.86950616483054\n ],\n [\n -115.16424378294235,\n 34.49668753215643\n ],\n [\n -114.66904039390542,\n 35.774420444698194\n ],\n [\n -111.91445748122553,\n 36.57404002586604\n ],\n [\n -111.08039807202803,\n 38.090459720027894\n ],\n [\n -109.66040807077158,\n 34.09264795999532\n ],\n [\n -105.49956098365757,\n 33.35306735179675\n ],\n [\n -105.1942616934904,\n 36.86164728405714\n ],\n [\n -104.46325968085759,\n 41.6756079905559\n ],\n [\n -103.67824727595544,\n 42.2158730516426\n ],\n [\n -104.8704368129265,\n 44.69923426792971\n ],\n [\n -103.37233643926561,\n 45.25198814864976\n ],\n [\n -102.99032903885458,\n 48.723152452506895\n ],\n [\n -103.77002889466604,\n 48.730618780629214\n ],\n [\n -105.59751217809955,\n 47.36393384939501\n ],\n [\n -105.88781115813256,\n 48.97431691272439\n ],\n [\n -108.47085655229651,\n 49.03087841335443\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
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Researchers and policymakers increasingly recognize the contribution of aquatic food systems, such as fisheries, to food security and nutrition. Yet governing fisheries for nutrition objectives is complicated by the multiple overlapping processes that shape availability and access to nutrients over time, including fishing sustainability, climate change, trade dynamics, and consumer preferences. Anticipating the effect of governance interventions to sustain or enhance nutritional benefits from fisheries entails accounting for these multiple interacting influences. We develop an analytical approach to link available data on aquatic foods production, nutrition, distribution, and potential climate impacts to evaluate the nutrition implications of fishery management and post-harvest allocation interventions. We demonstrate this approach using national and publicly available datasets for five case study countries: Peru, Chile, Indonesia, Sierra Leone, and Malawi. As examples, we evaluate the potential to enhance domestic supply of key nutrients to nutritionally-vulnerable populations by (a) dynamically adjusting fishing effort in response to climate impacts on fish stocks, and (b) retaining aquatic foods currently diverted via trade or foreign fishing. The results indicate substantial differences across countries in terms of anticipated climate change effects, with potential for substantially increased nutrition yield in Chile and Peru under adaptive management, vs more modest yield increases in Indonesia. The impacts of post-harvest allocation policies related to foreign fishing, exports, fishing sector, and subnational trade also vary, with exports weighing heavily on nutrient availability in Sierra Leone. This methodological approach represents a step toward operationalizing calls to manage fisheries as part of national food and nutrient supplies, in light of climate change risks.
","language":"English","publisher":"Purpose-Led Publishing","doi":"10.1088/2976-601x/add164","usgsCitation":"Bennett, A., Mason, J.G., Battista, W., Free, C.M., Gephart, J.A., Kleisner, K.M., Rice, E.D., Robinson, K.F., and Virdin, J., 2025, An analytical approach to explore prospects and limits of nutrition-sensitive fisheries governance under climate change: Environmental Research: Food Systems, v. 2, 035003, 25 p., https://doi.org/10.1088/2976-601x/add164.","productDescription":"035003, 25 p.","ipdsId":"IP-166669","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2976-601x/add164","text":"Publisher Index Page"},{"id":494537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Abigail","contributorId":360346,"corporation":false,"usgs":false,"family":"Bennett","given":"Abigail","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Julia G.","contributorId":360348,"corporation":false,"usgs":false,"family":"Mason","given":"Julia","middleInitial":"G.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battista, Willow","contributorId":360351,"corporation":false,"usgs":false,"family":"Battista","given":"Willow","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Free, Christopher M.","contributorId":360354,"corporation":false,"usgs":false,"family":"Free","given":"Christopher","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":946990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gephart, Jessica A.","contributorId":360357,"corporation":false,"usgs":false,"family":"Gephart","given":"Jessica","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":946991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kleisner, Kristin M.","contributorId":360360,"corporation":false,"usgs":false,"family":"Kleisner","given":"Kristin","middleInitial":"M.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Emma D.","contributorId":360362,"corporation":false,"usgs":false,"family":"Rice","given":"Emma","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946994,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Virdin, John","contributorId":360366,"corporation":false,"usgs":false,"family":"Virdin","given":"John","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":946995,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}