The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.
This report provides observed geometric and radiometric analysis results for Landsats 7–8 for quarter 4 (October–December), 2021. All data used to compile the Cal/Val analysis results presented in this report are freely available from the USGS EarthExplorer website: https://earthexplorer.usgs.gov.
One specific activity that the Cal/Val Team continued to closely monitor this quarter was the Landsat 8 Thermal Infrared Sensor (TIRS) response degradation, which has been observed since the two November 2020 safehold events. Detailed analysis results characterizing this degradation have been included in this report. Additional information about the safehold events is here: https://www.usgs.gov/core-science-systems/nli/landsat/november-19-2020-landsat-8-data-availability-update-recent-safehold.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221033","usgsCitation":"Haque, M.O., Rengarajan, R., Lubke, M., Tuli, F.T.Z., Shaw, J.L., Hasan, M.N., Denevan, A., Franks, S., Micijevic, E., Choate, M.J., Anderson, C., Markham, B., Thome, K., Kaita, E., Barsi, J., Levy, R., and Ong, L., 2022, ECCOE Landsat Quarterly Calibration and Validation report— Quarter 4, 2021: U.S. Geological Survey Open-File Report 2022–1033, 38 p., https://doi.org/10.3133/ofr20221033.","productDescription":"Report: vii, 38 p.; Dataset","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-137795","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":401936,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1033/ofr20221033.pdf","text":"Report","size":"3.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1033"},{"id":401934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1033/coverthb.jpg"},{"id":402059,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221033/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":401939,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":401938,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1033/images"},{"id":401937,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1033/ofr20221033.XML"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The rate and timing of hydrologically forced landslides is a complex function of precipitation patterns, material properties, topography, and groundwater hydrology. In the simplest form, however, slopes fail when subsurface pore pressure grows large enough to exceed the Mohr-Coulomb failure criterion. The capacity for pore pressure rise in a landslide is determined in part by the thickness of the unsaturated zone above the water table, which itself is set by weathering patterns that should have predictable patterns across different lithologies. To investigate how this structure affects landslide behavior, we exploit a multi-year record of precipitation, pore pressure, and velocity from Oak Ridge earthflow, a slow-moving landslide set in Franciscan mélange, northern California, USA. In conjunction with electrical resistivity tomography and hydraulic conductivity measurements, these data show that Oak Ridge has a thin weathered profile that is comparable in thickness to other mélange landslides in California. We propose that due to the inherently thin vadose zone, mélange landscapes experience an unusually high water table that frequently brings them close to movement; however, the capacity to increase stress is limited by the small amount of dynamic storage available. Instead, excess pore pressure is shed via springs and saturation overland flow once the water table reaches the surface. Linkages between weathering patterns, hydrology, and deformation can explain behavior patterns exhibited by Franciscan mélange earthflows across a large precipitation gradient.
Unprecedented conservation efforts for sagebrush (Artemisia spp.) ecosystems across the western United States have been catalyzed by risks from escalated wildfire activity that reduces habitat for sagebrush-obligate species such as Greater Sage-Grouse (Centrocercus urophasianus). However, post-fire restoration is challenged by spatial variation in ecosystem processes influencing resilience to disturbance and resistance to non-native invasive species, and spatial and temporal lags between slower sagebrush recovery processes and faster demographic responses of sage-grouse to loss of important habitat. Decision-support frameworks that account for these factors can help users strategically apply restoration efforts by predicting short and long-term ecological benefits of actions. Here, we developed a framework that strategically targets burned areas for restoration actions (e.g., seeding or planting sagebrush) that have the greatest potential to positively benefit sage-grouse populations through time. Specifically, we estimated sagebrush recovery following wildfire and risk of non-native annual grass invasion under four scenarios: passive recovery, grazing exclusion, active restoration with seeding, and active restoration with seedling transplants. We then applied spatial predictions of integrated nest site selection and survival models before wildfire, immediately following wildfire, and at 30 and 50 years post-wildfire based on each restoration scenario and measured changes in habitat. Application of this framework coupled with strategic planting designs aimed at developing patches of nesting habitat may help increase operational resilience for fire-impacted sagebrush ecosystems.
Designing a population monitoring program for Asian bears presents challenges associated with their low densities and detectability, generally large home ranges, and logistical or resource constraints. The use of an occupancy-based method to monitor bear populations can be appropriate under certain conditions given the mechanistic relationship between occupancy and abundance. The form of the occupancy–abundance relationship is dependent on species-specific characteristics such as home range size and population density, as well as study area size. To assess the statistical power of tests to detect population change of Asian bears, we conducted a study using a range of scenarios by simulating spatially explicit individual-based capture-recapture data from a demographically open model. Simulations assessed the power to detect changes in population density via changes in site-level occupancy or abundance through time, estimated using a standard occupancy model or a Royle-Nichols model, both with point detectors (representing camera traps). We used IUCN Red List criteria as a guide in selection of two population decline scenarios (20% and 50%), but we chose a shorter time horizon (10 years = 1 bear generation), meaning that declines were steeper than used for IUCN criteria (3 generations). Our simulations detected population declines of 50% with high power (>0.80) and low false positive rates (FPR: incorrectly detecting a decline) (<0.10) when detectors were spaced at > 0.67 times the home range diameter (home-range spacing ratio: HRSR, a measure of spatial correlation), such that bears would tend to overlap no more than two detectors. There was high (0.85) correlation between realized occupancy and N in these scenarios. The FPR increased as the HRSR decreased because of spatial correlation in the occupancy process induced when individual home ranges overlap multiple detectors. The mean statistical power to detect more gradual population declines (20% in 10 years) with HRSR > 0.67 was low for occupancy models 0.22 (maximum power 0.67) and Royle-Nichols models (0.24; maximum power 0.67), suggesting that declines of this magnitude may not be described reliably with 10 years of monitoring. Our results demonstrated that under many realistic scenarios that we explored, false positive rates were unacceptably high. We highlight that when designing occupancy studies, the spacing between point detectors be at least 0.67 times the diameter of the home range size of the larger sex (e.g., males) when the assumptions of the spatial capture-recapture model used for simulation are met.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02075","usgsCitation":"Fuller, A.K., Augustine, B., Morin, D., Pigeon, K., Boulanger, J., Lee, D., Bisi, F., and Garshelis, D., 2022, The occupancy-abundance relationship and sampling designs using occupancy to monitor populations of Asian bears: Global Ecology and Conservation, v. 35, e02075, 18 p., https://doi.org/10.1016/j.gecco.2022.e02075.","productDescription":"e02075, 18 p.","ipdsId":"IP-135705","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02075","text":"Publisher Index Page"},{"id":480920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben C.","contributorId":349417,"corporation":false,"usgs":false,"family":"Augustine","given":"Ben C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morin, Dana J.","contributorId":349419,"corporation":false,"usgs":false,"family":"Morin","given":"Dana J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":924299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigeon, Karine","contributorId":349420,"corporation":false,"usgs":false,"family":"Pigeon","given":"Karine","affiliations":[{"id":83340,"text":"IUCN SSC Bear Specialist Group","active":true,"usgs":false}],"preferred":false,"id":924300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boulanger, John","contributorId":349422,"corporation":false,"usgs":false,"family":"Boulanger","given":"John","affiliations":[{"id":83347,"text":"Integrated Ecological Research","active":true,"usgs":false}],"preferred":false,"id":924301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, David C.","contributorId":349424,"corporation":false,"usgs":false,"family":"Lee","given":"David C.","affiliations":[{"id":83348,"text":"University of South Wales","active":true,"usgs":false}],"preferred":false,"id":924302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bisi, Francesco","contributorId":349429,"corporation":false,"usgs":false,"family":"Bisi","given":"Francesco","affiliations":[{"id":83482,"text":"University of Insubria","active":true,"usgs":false}],"preferred":false,"id":924303,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garshelis, David L.","contributorId":349431,"corporation":false,"usgs":false,"family":"Garshelis","given":"David L.","affiliations":[{"id":83484,"text":"IUCN SSC Bear Specialist Group.","active":true,"usgs":false}],"preferred":false,"id":924304,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70232181,"text":"ofr20221055 - 2022 - Belowground mutualisms to support prairie reconstruction—Improving prairie habitat using mycorrhizal inoculum","interactions":[],"lastModifiedDate":"2022-09-27T12:39:15.078463","indexId":"ofr20221055","displayToPublicDate":"2022-06-09T13:18:15","publicationYear":"2022","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":"2022-1055","displayTitle":"Belowground Mutualisms to Support Prairie Reconstruction—Improving Prairie Habitat Using Mycorrhizal Inoculum","title":"Belowground mutualisms to support prairie reconstruction—Improving prairie habitat using mycorrhizal inoculum","docAbstract":"As a first step toward understanding the feasibility of using arbuscular mycorrhizal fungi (AMF) in reconstruction practice, we addressed four objectives: (1) compare root-associated AMF communities of plants between high-quality remnant prairies and reconstructed prairies, (2) compare root-associated AMF communities between plant species that declined in reconstructions and species that were thriving, (3) compare AMF communities collected from roots of plants in geographically separate parts of Minnesota and Iowa, and (4) assess the relationship between AMF communities and soil abiotic factors. We collected soil and root samples in 8 prairies reconstructed in 2005 (and monitored through 2015) and 6 remnant prairies, and the samples were separated into 6 geographically determined clusters, each containing 1–2 reconstructions and 1 remnant. Sequencing was completed on 1,188 deoxyribonucleic acid extracts from individual plant root samples, and fungal sequences were clustered to operational taxonomic units at 97-percent identity. Nonmetric multidimensional scaling was used to visualize differences in species composition of AMF communities among plant species and field sites. Permutational analysis of variance was completed to test for differences in AMF community composition between the 2 types of sites (remnants and reconstructions), among plant species, and among the 6 site clusters. AMF communities differed between remnant and reconstructed prairies, with one exception, and AMF associated with individual plant species also tended to differ, depending on whether the plant species’ roots were collected from remnant or reconstructed prairie. On the other hand, we did not determine that, as a group, species in decline in the reconstructions we had monitored were more likely to harbor different AMF communities compared to species not in decline in the reconstructions. Significant interactions between site type and clusters indicate geographic variation in AMF communities. Total carbon and nitrogen, and organic matter, were higher in remnant soils, whereas phosphorus, which at high concentrations reduces the value of AMF to plants, was much higher in soils collected from reconstructions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221055","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service, North Dakota State University, University of Minnesota, and University of Groningen","programNote":"Land Management Research Program","usgsCitation":"Vink, S.N., Aldrich-Wolfe, L., Huerd, S.C., Larson, J.L., Vacek, S.C., Drobney, P.M., Barnes, M., Viste-Sparkman, K., Jordan, N.R., and Larson, D.L., 2022, Belowground mutualisms to support prairie reconstruction—Improving prairie habitat using mycorrhizal inoculum: U.S. Geological Survey Open-File Report 2022–1055, 18 p., https://doi.org/10.3133/ofr20221055.","productDescription":"Report: vi, 18 p.; 2 Data Releases","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-138435","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":402010,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221055/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":402009,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95R5UNN","text":"USGS data release","linkHelpText":"Arbuscular mycorrhizal fungi in remnant and reconstructed prairies in Minnesota and Iowa, 2019 (ver. 2.0, April 2022)"},{"id":402007,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1055/images"},{"id":402006,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1055/ofr20221055.XML"},{"id":402005,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1055/ofr20221055.pdf","text":"Report","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1055"},{"id":402004,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1055/coverthb.jpg"},{"id":402008,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N8X0ZY","text":"USGS data release","linkHelpText":"Management of remnant tallgrass prairie by grazing or fire in western Minnesota, 2016–2017"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.26220703125,\n 46.37725420510028\n ],\n [\n -94.81201171875,\n 46.37725420510028\n ],\n [\n -94.81201171875,\n 47.931066347509784\n ],\n [\n -96.26220703125,\n 47.931066347509784\n ],\n [\n -96.26220703125,\n 46.37725420510028\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.767578125,\n 44.5278427984555\n ],\n [\n -94.28466796874999,\n 44.5278427984555\n ],\n [\n -94.28466796874999,\n 45.706179285330855\n ],\n [\n -96.767578125,\n 45.706179285330855\n ],\n [\n -96.767578125,\n 44.5278427984555\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.93310546874999,\n 40.9964840143779\n ],\n [\n -91.91162109374997,\n 40.9964840143779\n ],\n [\n -91.91162109374997,\n 41.78769700539063\n ],\n [\n -93.93310546874999,\n 41.78769700539063\n ],\n [\n -93.93310546874999,\n 40.9964840143779\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Despite the recognized role of wild waterfowl in the potential dispersal and transmission of highly pathogenic avian influenza (HPAI) virus, little is known about how infection affects these birds. This lack of information limits our ability to estimate viral spread in the event of an HPAI outbreak, thereby limiting our abilities to estimate and communicate risk. Here we present telemetry data from a wild Lesser Scaup (Aythya affinis), captured during a separate ecology study in the Chesapeake Bay, Maryland. This bird tested positive for infection with clade 2.3.4.4 HPAI virus of the A/goose/Guangdong/1/1996 (Gs/GD) H5N1 lineage (results received post-release) during the 2021–22 ongoing outbreaks in North America. While the infected bird was somewhat lighter than other adult males surgically implanted with transmitters (790g, ߂ = 868g, n = 11), it showed no clinical signs of infection at capture, during surgery, nor upon release. The bird died 3d later, pathology undetermined as the specimen was not able to be recovered. Analysis of movement data within the 3d window showed that the infected individual's maximum and average hourly movements (3894.3m, 428.8m respectively) were noticeably lower than noninfected conspecifics tagged and released the same day (߂ = 21594.5m, ߂ = 1097.9m, respectively; n = 4). We identified four instances where the infected bird had close contact (fixes located within 25m and 15 min) with another marked bird during this time. Collectively, these data suggest that the HPAI positive bird observed in this study may have been shedding virus for some period prior to death, with opportunities for direct bird to bird or environmental transmission. Although limited by low sample size and proximity to the time of tagging, we hope that these data will provide useful information as managers continue to respond to this ongoing outbreak event.
","language":"English","publisher":"Wiley","doi":"10.1111/tbed.14614","usgsCitation":"Prosser, D., Schley, H., Simmons, N., Sullivan, J.D., Homyack, J., Weegman, M.M., Olsen, G.H., Berlin, A., Poulson, R., Stallknecht, D., and Williams, C.K., 2022, A lesser scaup (Aythya affinis ) naturally infected with Eurasian 2.3.4.4 highly pathogenic H5N1 avian influenza virus – Movement ecology and host factors: Transboundary and Emerging Diseases, v. 69, no. 5, p. e2653-e2660, https://doi.org/10.1111/tbed.14614.","productDescription":"8 p.","startPage":"e2653","endPage":"e2660","ipdsId":"IP-138877","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435810,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MJG53M","text":"USGS data release","linkHelpText":"Telemetry data of a Lesser Scaup (Aythya affinis) positive for 2.3.4.4 Highly Pathogenic H5N1"},{"id":402195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schley, Hannah","contributorId":292145,"corporation":false,"usgs":false,"family":"Schley","given":"Hannah","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":844691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Nathan","contributorId":292146,"corporation":false,"usgs":false,"family":"Simmons","given":"Nathan","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":844692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":844693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Homyack, Josh","contributorId":292150,"corporation":false,"usgs":false,"family":"Homyack","given":"Josh","email":"","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":844694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weegman, Matthew M.","contributorId":200610,"corporation":false,"usgs":false,"family":"Weegman","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":844695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berlin, Alicia 0000-0002-5275-3077","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":216023,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844697,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":844698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":844699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Christopher K.","contributorId":202263,"corporation":false,"usgs":false,"family":"Williams","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":844700,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70232166,"text":"70232166 - 2022 - Migration of first-year steppe eagles (Aquila nipalensis) from northern Kazakhstan and implications for conservation","interactions":[],"lastModifiedDate":"2022-06-09T14:50:24.7388","indexId":"70232166","displayToPublicDate":"2022-06-09T09:19:30","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Migration of first-year steppe eagles (Aquila nipalensis) from northern Kazakhstan and implications for conservation","title":"Migration of first-year steppe eagles (Aquila nipalensis) from northern Kazakhstan and implications for conservation","docAbstract":"Extensive anthropogenic alteration of steppe ecosystems throughout Eurasia leaves central Asia with some of the world’s last remaining large expanses of grassland habitat. Steppe eagles (Aquila nipalensis) are globally endangered breed primarily in these steppe ecosystems. We evaluated migratory movements of first year steppe eagles hatched in northern Kazakhstan, to understand their migration and the extent to which their movements expose them to threats that may impact population viability. Most steppe eagles we monitored migrated to the east of the Caspian Sea to wintering grounds on the Arabian Peninsula or northeastern Africa, although a few migrated to the west of the Caspian Sea, one wintered in southcentral Iran, and one in southern Pakistan. Northbound migration routes largely mirrored southbound routes. Straight-line distance between summering and wintering grounds averaged 3,582 km (fall) and 3,700 km (spring), and actual distance traveled averaged 7,183 km (fall) and 9,433 km (spring). Routes of travel of these steppe eagles expose them to potential electrocution, shooting, and wildlife trade across the extent of their migratory and wintering areas.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biological diversity of Asian steppes","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IV International Scientific Conference","conferenceDate":"April 14, 2022","conferenceLocation":"Kostanay, Kazakhstan","language":"English","publisher":"A. Baitursynov Kostanay Regional University","usgsCitation":"Katzner, T., Efrat, R., Bragin, A.E., Lehnardt, Y., Bragin, E.A., and Sapir, N., 2022, Migration of first-year steppe eagles (Aquila nipalensis) from northern Kazakhstan and implications for conservation, in Biological diversity of Asian steppes, Kostanay, Kazakhstan, April 14, 2022, p. 310-317.","productDescription":"8 p.","startPage":"310","endPage":"317","ipdsId":"IP-137747","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":401985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":401984,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ksu.edu.kz/about/biblioteka/elektronnye-resursy/"}],"country":"Afghanistan, Azerbaijan, Djibouti, Eritrea, Ethiopia, Iran, Iraq, Kazakhstan, Kuwait, Pakistan, Russia, Saudi Arabia, South Sudan, Sudan, Turkmenistan, Uzbekistan, Yemen","state":"Aktobe, Kostanay","otherGeospatial":"Caspian Sea, Persian Gulf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 28.828124999999996,\n 10.14193168613103\n ],\n [\n 35.33203125,\n 5.528510525692801\n ],\n [\n 46.669921875,\n 13.838079936422462\n ],\n [\n 48.603515625,\n 29.611670115197377\n ],\n [\n 49.74609374999999,\n 29.6880527498568\n ],\n [\n 51.064453125,\n 27.761329874505233\n ],\n [\n 53.26171875,\n 26.588527147308614\n ],\n [\n 54.66796875,\n 25.958044673317843\n ],\n [\n 56.42578125,\n 26.509904531413927\n ],\n [\n 57.041015625,\n 25.48295117535531\n ],\n [\n 61.69921875,\n 24.766784522874453\n ],\n [\n 66.005859375,\n 25.16517336866393\n ],\n [\n 68.994140625,\n 23.483400654325642\n ],\n [\n 82.353515625,\n 47.100044694025215\n ],\n [\n 70.83984375,\n 54.77534585936447\n ],\n [\n 39.63867187499999,\n 47.39834920035926\n ],\n [\n 44.033203125,\n 37.23032838760387\n ],\n [\n 30.937499999999996,\n 22.024545601240337\n ],\n [\n 28.828124999999996,\n 10.14193168613103\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Efrat, R.","contributorId":292407,"corporation":false,"usgs":false,"family":"Efrat","given":"R.","affiliations":[{"id":36498,"text":"Ben-Gurion University of the Negev","active":true,"usgs":false}],"preferred":false,"id":844468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bragin, A. E.","contributorId":292408,"corporation":false,"usgs":false,"family":"Bragin","given":"A.","email":"","middleInitial":"E.","affiliations":[{"id":33685,"text":"'Don Heritage' Rostov Biosphere Reserve","active":true,"usgs":false}],"preferred":false,"id":844469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehnardt, Y.","contributorId":292409,"corporation":false,"usgs":false,"family":"Lehnardt","given":"Y.","affiliations":[{"id":36498,"text":"Ben-Gurion University of the Negev","active":true,"usgs":false}],"preferred":false,"id":844470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bragin, E. A.","contributorId":98922,"corporation":false,"usgs":true,"family":"Bragin","given":"E.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":844471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sapir, N.","contributorId":292410,"corporation":false,"usgs":false,"family":"Sapir","given":"N.","email":"","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":844472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232247,"text":"70232247 - 2022 - Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland","interactions":[],"lastModifiedDate":"2022-06-17T14:15:00.422295","indexId":"70232247","displayToPublicDate":"2022-06-09T09:05:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland","docAbstract":"Nearly all of the wetlands in the coastal zone of Lake Erie have been degraded or destroyed since the 1860s, and most of those that remain are separated from their watersheds by earthen dikes. Hydrologic isolation of these wetlands disrupts ecosystem benefits typical to Great Lakes coastal wetlands, particularly the ability to trap sediments and retain nutrients when inundated by runoff and lake water. High-frequency measurements of turbidity and discharge were taken in 2013 and 2014 to observe turbidity and water flow dynamics to estimate total phosphorus flux of a hydrologically reconnected diked wetland pool in the Crane Creek-Lake Erie wetland complex. Modeled estimates suggest the reconnected pool retained 8% of the total phosphorus loading in 2013 and 10% in 2014, which included short periods of phosphorus export to Lake Erie. Water flowing out of the wetland generally had lower turbidity than inflowing water, but flux in and out of the pool varied seasonally and was linked to changes in lake-levels, seiche dynamics, and weather conditions. More frequent storms, higher winds, and stronger seiches in the spring and fall created turbidity patterns that suggest more phosphorus retention than in summer or winter. Estimates suggest that phosphorus was released during the summer when higher lake levels and the absence of frequent storms, larger short-term seiche oscillations, and potentially soil oxygen availability were driving flux dynamics. This study demonstrated that reestablishing lake hydrology through reconnection of wetland pools can reduce loading and alter timing of delivery of total phosphorus to Lake Erie.
","language":"English","publisher":"MDPI","doi":"10.3390/w14121853","usgsCitation":"Carter, G., Kowalski, K., and Eggleston, M., 2022, Turbidity and estimated phosphorus retention in a reconnected Lake Erie coastal wetland: Water, v. 14, no. 2, 1853, 12 p., https://doi.org/10.3390/w14121853.","productDescription":"1853, 12 p.","ipdsId":"IP-110303","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":447485,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w14121853","text":"Publisher Index Page"},{"id":435812,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C3B","text":"USGS data release","linkHelpText":"Total phosphorus and water flux at a restored hydrologic connection at Ottawa National Wildlife Refuge in 2013 and 2014"},{"id":402325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Crane Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.24014663696289,\n 41.59772934193236\n ],\n [\n -83.17886352539062,\n 41.59772934193236\n ],\n [\n -83.17886352539062,\n 41.64764694964725\n ],\n [\n -83.24014663696289,\n 41.64764694964725\n ],\n [\n -83.24014663696289,\n 41.59772934193236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Glenn 0000-0001-6630-7513","orcid":"https://orcid.org/0000-0001-6630-7513","contributorId":292490,"corporation":false,"usgs":false,"family":"Carter","given":"Glenn","email":"","affiliations":[],"preferred":false,"id":844792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":844793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, Michael 0000-0003-1068-3290","orcid":"https://orcid.org/0000-0003-1068-3290","contributorId":204833,"corporation":false,"usgs":true,"family":"Eggleston","given":"Michael","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":844794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236280,"text":"70236280 - 2022 - Tree rings reveal unmatched 2nd century drought in the Colorado River Basin","interactions":[],"lastModifiedDate":"2022-08-31T14:13:13.360127","indexId":"70236280","displayToPublicDate":"2022-06-09T09:01:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Tree rings reveal unmatched 2nd century drought in the Colorado River Basin","docAbstract":"The ongoing 22 year drought in the Upper Colorado River Basin (UCRB) has been extremely severe, even in the context of the longest available tree-ring reconstruction of annual flow at Lees Ferry, Arizona, dating back to 762 CE. While many southwestern drought assessments have been limited to the past 1200 years, longer paleorecords of moisture variability do exist for the UCRB. Here, gridded drought-atlas data in the UCRB domain along with naturalized streamflow data from the instrumental period (1906–2021) are used in a K nearest neighbor (KNN) nonparametric algorithm to develop a streamflow reconstruction for the Lees Ferry gage starting in 1 CE. The reconstruction reveals a 2nd century drought unmatched in severity by the current drought or by well-documented medieval period droughts in the UCRB. Although data are sparse, analysis of individual long tree ring records and other paleoclimatic data also support the occurrence of an exceptional 2nd century drought.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GL098781","usgsCitation":"Gangopadhyay, S., Woodhouse, C., McCabe, G.J., Routson, C.C., and Meko, D., 2022, Tree rings reveal unmatched 2nd century drought in the Colorado River Basin: Geophysical Research Letters, v. 49, no. 11, e2022GL098781, 10 p., https://doi.org/10.1029/2022GL098781.","productDescription":"e2022GL098781, 10 p.","ipdsId":"IP-139459","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":447488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gl098781","text":"Publisher Index Page"},{"id":405995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.03857421875,\n 36.38591277287651\n ],\n [\n -111.181640625,\n 36.58024660149866\n ],\n [\n -110.25878906249999,\n 36.36822190085111\n ],\n [\n -109.9072265625,\n 35.88905007936091\n ],\n [\n -108.8525390625,\n 35.782170703266075\n ],\n [\n -107.51220703125,\n 35.67514743608467\n ],\n [\n -106.74316406249999,\n 36.56260003738545\n ],\n [\n -106.34765625,\n 37.07271048132943\n ],\n [\n -106.5673828125,\n 37.64903402157866\n ],\n [\n -106.12792968749999,\n 38.048091067457236\n ],\n [\n -106.083984375,\n 39.07890809706475\n ],\n [\n -105.0732421875,\n 39.825413103424786\n ],\n [\n -105.35888671875,\n 40.96330795307353\n ],\n [\n -107.11669921875,\n 42.342305278572816\n ],\n [\n -110.32470703125,\n 43.29320031385282\n ],\n [\n -110.6982421875,\n 43.56447158721811\n ],\n [\n -110.91796875,\n 41.75492216766298\n ],\n [\n -111.1376953125,\n 41.393294288784865\n ],\n [\n -111.4013671875,\n 41.09591205639546\n ],\n [\n -111.884765625,\n 39.90973623453719\n ],\n [\n -112.19238281249999,\n 38.66835610151506\n ],\n [\n -112.3681640625,\n 37.21283151445594\n ],\n [\n -112.39013671875,\n 36.65079252503471\n ],\n [\n -112.03857421875,\n 36.38591277287651\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":850421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie 0000-0003-0545-9753","orcid":"https://orcid.org/0000-0003-0545-9753","contributorId":296028,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":850422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":850423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meko, David 0000-0002-5171-2724","orcid":"https://orcid.org/0000-0002-5171-2724","contributorId":296029,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":850425,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232174,"text":"70232174 - 2022 - Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe","interactions":[],"lastModifiedDate":"2022-07-08T13:48:50.105967","indexId":"70232174","displayToPublicDate":"2022-06-09T08:19:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe","docAbstract":"Interannual variation, especially weather, is an often-cited reason for restoration “failures”; yet its importance is difficult to experimentally isolate across broad spatiotemporal extents, due to correlations between weather and site characteristics. We examined post-fire treatments within sagebrush-steppe ecosystems to ask: (1) Is weather following seeding efforts a primary reason why restoration outcomes depart from predictions? and (2) Does the management-relevance of weather differ across space and with time since treatment? Our analysis quantified range-wide patterns of sagebrush (Artemisia spp.) recovery, by integrating long-term records of restoration and annual vegetation cover estimates from satellite imagery following thousands of post-fire seeding treatments from 1984 to 2005. Across the Great Basin, sagebrush growth increased in wetter, cooler springs; however, the importance of spring weather varied with sites' long-term climates, suggesting differing ecophysiological limitations across sagebrush's range. Incorporation of spring weather, including from the “planting year,” improved predictions of sagebrush recovery, but these advances were small compared to contributions of time-invariant site characteristics. Given extreme weather conditions threatening this ecosystem, explicit consideration of weather could improve the allocation of management resources, such as by identifying areas requiring repeated treatments; but improved forecasts of shifting mean conditions with climate change may more significantly aid the prediction of sagebrush recovery.
","language":"English","publisher":"Wiley","doi":"10.1111/csp2.12737","usgsCitation":"Simler-Williamson, A.B., Applestein, C., and Germino, M., 2022, Interannual variation in climate contributes to contingency in post-fire restoration outcomes in seeded sagebrush steppe: Conservation Science and Practice, v. 4, no. 7, e12737, 15 p., https://doi.org/10.1111/csp2.12737.","productDescription":"e12737, 15 p.","ipdsId":"IP-123042","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":447490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12737","text":"Publisher Index Page"},{"id":401971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Idaho, Nevada, Oregon, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3984375,\n 38.65119833229951\n ],\n [\n -104.0625,\n 38.65119833229951\n ],\n [\n -104.0625,\n 44.213709909702054\n ],\n [\n -123.3984375,\n 44.213709909702054\n ],\n [\n -123.3984375,\n 38.65119833229951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Simler-Williamson, Allison Barbara 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":257068,"corporation":false,"usgs":true,"family":"Simler-Williamson","given":"Allison","email":"","middleInitial":"Barbara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew","contributorId":292390,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844441,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232149,"text":"fs20223041 - 2022 - Montana and Landsat","interactions":[],"lastModifiedDate":"2022-09-27T12:06:36.631689","indexId":"fs20223041","displayToPublicDate":"2022-06-08T14:59:37","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3041","displayTitle":"Montana and Landsat","title":"Montana and Landsat","docAbstract":"The landscapes beneath Montana’s big sky are as breathtaking as the State’s nickname would suggest. Visitors to the 41st State's \"Big Sky Country\" can take in the stunning icy hues of aquamarine at Glacier National Park; explore the northern swaths of Yellowstone National Park; or hike, bike, or boat through Bighorn Canyon National Recreation Area, and those are just the National parks.
Montana is the fourth-largest State by land area, with miles upon miles of forests, rolling prairie rangelands, croplands, badlands, and mountains, from which flow a sizable part of the Nation’s water supply. The headwaters of the Missouri River, which covers 2,341 miles before merging with the Mississippi River, are located in Three Forks, Montana. On the opposite side of the Continental Divide, the Kootenai, Clark Fork, Blackfoot, Bitterroot, and Flathead Rivers flow across Montana and into the Columbia River, which ultimately empties into the Pacific Ocean.
The Treasure State’s cherished landscapes face many threats, however: fire-fueling invasive grasses, increasing temperatures caused by climate change, shifting land use patterns, water supply contractions, and more. The U.S. Geological Survey Landsat satellite program’s imagery can improve Montanans’ understanding of land change and offer valuable insight for the ranchers, farmers, land and resource managers, firefighters, and urban planners.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223041","usgsCitation":"U.S. Geological Survey, 2022, Montana and Landsat: U.S. Geological Survey Fact Sheet 2022–3041, 2 p., https://doi.org/10.3133/fs20223041.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-141519","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":401926,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223041/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":401924,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3041/images"},{"id":401923,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3041/fs20223041.XML"},{"id":401922,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3041/fs20223041.pdf","text":"Report","size":"4.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3041"},{"id":401921,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3041/coverthb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.038405,45.000345],[-105.848065,45.000396],[-105.913382,45.000941],[-105.914258,44.999986],[-105.928184,44.993647],[-106.263586,44.993788],[-107.050801,44.996424],[-107.074996,44.997004],[-107.084939,44.996599],[-107.105685,44.998734],[-107.125633,44.999388],[-107.13418,45.000109],[-107.351441,45.001407],[-107.49205,45.00148],[-107.608854,45.00086],[-107.750654,45.000778],[-107.997353,45.001565],[-108.000663,45.001223],[-108.14939,45.001062],[-108.218479,45.000541],[-108.238139,45.000206],[-108.249345,44.999458],[-108.271201,45.000251],[-108.500679,44.999691],[-108.565921,45.000578],[-109.08301,44.99961],[-109.103445,45.005904],[-109.375713,45.00461],[-109.386432,45.004887],[-109.574321,45.002631],[-109.663673,45.002536],[-109.75073,45.001605],[-109.875735,45.003275],[-109.99505,45.003174],[-110.026347,45.003665],[-110.110103,45.003905],[-110.199503,44.996188],[-110.28677,44.99685],[-110.324441,44.999156],[-110.342131,44.999053],[-110.362698,45.000593],[-110.402927,44.99381],[-110.48807,44.992361],[-110.552433,44.992237],[-110.705272,44.992324],[-110.750767,44.997948],[-110.761554,44.999934],[-110.785008,45.002952],[-111.055199,45.001321],[-111.056207,44.935901],[-111.055629,44.933578],[-111.056888,44.866658],[-111.056416,44.749928],[-111.055511,44.725343],[-111.055208,44.624927],[-111.048974,44.474072],[-111.062729,44.476073],[-111.122654,44.493659],[-111.131379,44.499925],[-111.139455,44.517112],[-111.143557,44.535732],[-111.15959,44.546376],[-111.166892,44.54722],[-111.175747,44.552219],[-111.182551,44.566874],[-111.189617,44.571062],[-111.201459,44.575696],[-111.225208,44.581006],[-111.23018,44.587025],[-111.231227,44.606915],[-111.224161,44.623402],[-111.25268,44.651092],[-111.262839,44.649658],[-111.276956,44.655626],[-111.26875,44.668279],[-111.29626,44.702271],[-111.323669,44.724474],[-111.341351,44.7293],[-111.348184,44.725459],[-111.355768,44.727602],[-111.366723,44.738361],[-111.36627,44.742234],[-111.37476,44.750295],[-111.385005,44.755128],[-111.393854,44.752549],[-111.397805,44.746738],[-111.394459,44.744578],[-111.398575,44.723343],[-111.414271,44.710741],[-111.424214,44.714024],[-111.429604,44.720149],[-111.438793,44.720546],[-111.486019,44.707654],[-111.489339,44.704946],[-111.490228,44.700221],[-111.484898,44.687578],[-111.47798,44.682393],[-111.468833,44.679335],[-111.473178,44.665479],[-111.50494,44.635746],[-111.521688,44.613371],[-111.525764,44.604883],[-111.524213,44.595585],[-111.519126,44.582916],[-111.492024,44.56081],[-111.469185,44.552044],[-111.467736,44.544521],[-111.471682,44.540824],[-111.500792,44.540062],[-111.518095,44.544177],[-111.524006,44.548385],[-111.546637,44.557099],[-111.556577,44.554495],[-111.562814,44.555209],[-111.585763,44.562843],[-111.591768,44.561502],[-111.601249,44.55421],[-111.614405,44.548991],[-111.681571,44.559864],[-111.704218,44.560205],[-111.709553,44.550206],[-111.715474,44.543543],[-111.737191,44.54306],[-111.746401,44.540766],[-111.758966,44.533766],[-111.761904,44.529841],[-111.806512,44.516264],[-111.807914,44.511716],[-111.821488,44.509286],[-111.842542,44.526069],[-111.849293,44.539837],[-111.870504,44.564033],[-111.887852,44.563413],[-111.903566,44.55723],[-111.947941,44.556776],[-111.951522,44.550062],[-111.980833,44.536682],[-111.995231,44.535444],[-112.01385,44.542348],[-112.032707,44.546642],[-112.035025,44.542691],[-112.034133,44.537716],[-112.036943,44.530323],[-112.053434,44.535089],[-112.069011,44.537104],[-112.093304,44.530002],[-112.096299,44.523212],[-112.101564,44.520847],[-112.106755,44.520829],[-112.125101,44.528527],[-112.129078,44.5363],[-112.136454,44.539911],[-112.164597,44.541666],[-112.179703,44.533021],[-112.183937,44.533067],[-112.221698,44.543519],[-112.229477,44.549494],[-112.226841,44.555239],[-112.230117,44.562759],[-112.242785,44.568091],[-112.258665,44.569516],[-112.286187,44.568472],[-112.307642,44.557651],[-112.312899,44.553536],[-112.315047,44.550049],[-112.315008,44.5419],[-112.319198,44.53911],[-112.348794,44.538691],[-112.35421,44.535638],[-112.358917,44.528847],[-112.3566,44.493127],[-112.358926,44.48628],[-112.368764,44.467153],[-112.387389,44.448058],[-112.435342,44.462216],[-112.460347,44.47571],[-112.473207,44.480027],[-112.50031,44.463051],[-112.511713,44.466445],[-112.512036,44.47042],[-112.518871,44.475784],[-112.541989,44.483971],[-112.550557,44.484928],[-112.573513,44.480983],[-112.584197,44.481368],[-112.601863,44.491015],[-112.660696,44.485756],[-112.664485,44.48645],[-112.671169,44.491265],[-112.707815,44.503023],[-112.71911,44.504344],[-112.735084,44.499159],[-112.749011,44.491233],[-112.781294,44.484888],[-112.797863,44.466112],[-112.828191,44.442472],[-112.836034,44.422653],[-112.821896,44.407436],[-112.812608,44.392275],[-112.81324,44.378103],[-112.820489,44.370946],[-112.844859,44.358221],[-112.855395,44.359975],[-112.881769,44.380315],[-112.886041,44.395874],[-112.915602,44.402699],[-112.951146,44.416699],[-112.981682,44.434279],[-113.003544,44.450814],[-113.020917,44.493827],[-113.018636,44.520064],[-113.019777,44.528505],[-113.032722,44.537137],[-113.04282,44.546757],[-113.042363,44.565237],[-113.061071,44.577329],[-113.083819,44.60222],[-113.07376,44.613928],[-113.065593,44.617391],[-113.05677,44.618657],[-113.053529,44.621187],[-113.049349,44.62938],[-113.051504,44.63695],[-113.065589,44.649371],[-113.068306,44.656374],[-113.07042,44.667844],[-113.067756,44.672807],[-113.06776,44.679474],[-113.081906,44.691392],[-113.098064,44.697477],[-113.101154,44.708578],[-113.102138,44.729027],[-113.116874,44.738104],[-113.134824,44.752763],[-113.137704,44.760109],[-113.131387,44.764738],[-113.131453,44.772837],[-113.140618,44.776698],[-113.158206,44.780847],[-113.163806,44.778921],[-113.179366,44.787142],[-113.183395,44.793565],[-113.19436,44.802151],[-113.209624,44.80907],[-113.238729,44.814144],[-113.247166,44.82295],[-113.278382,44.812706],[-113.29683,44.803358],[-113.301508,44.798985],[-113.341704,44.784853],[-113.354034,44.791745],[-113.354763,44.795468],[-113.346692,44.798898],[-113.3461,44.800611],[-113.356062,44.819798],[-113.377153,44.834858],[-113.383984,44.8374],[-113.422376,44.842595],[-113.455071,44.865424],[-113.474573,44.910846],[-113.491121,44.927548],[-113.498745,44.942314],[-113.494446,44.948597],[-113.480836,44.95031],[-113.474781,44.948795],[-113.467467,44.948061],[-113.448958,44.953544],[-113.443782,44.95989],[-113.444862,44.976141],[-113.447013,44.984637],[-113.446884,44.998545],[-113.437726,45.006967],[-113.449909,45.035167],[-113.44912,45.046098],[-113.45197,45.059247],[-113.460578,45.064879],[-113.465073,45.062755],[-113.47377,45.0617],[-113.485278,45.063519],[-113.520134,45.093033],[-113.510819,45.099902],[-113.506638,45.107288],[-113.513342,45.115225],[-113.538037,45.11503],[-113.546488,45.112285],[-113.554744,45.112901],[-113.57467,45.128411],[-113.594632,45.166034],[-113.589891,45.176986],[-113.599506,45.191114],[-113.636889,45.212983],[-113.647399,45.228282],[-113.650064,45.23471],[-113.657027,45.241436],[-113.665633,45.246265],[-113.674409,45.249411],[-113.678749,45.24927],[-113.684946,45.253706],[-113.692039,45.265191],[-113.691557,45.270912],[-113.688077,45.276407],[-113.689359,45.28355],[-113.735601,45.325265],[-113.738729,45.329741],[-113.7402,45.34559],[-113.73553,45.364738],[-113.73239,45.385058],[-113.733092,45.390173],[-113.734402,45.392353],[-113.750546,45.40272],[-113.760924,45.406501],[-113.765203,45.410601],[-113.768058,45.418147],[-113.763368,45.427732],[-113.764591,45.431403],[-113.783272,45.451839],[-113.78416,45.454946],[-113.759986,45.480735],[-113.766022,45.520621],[-113.778361,45.523415],[-113.796579,45.523462],[-113.802849,45.523159],[-113.809144,45.519908],[-113.834555,45.520729],[-113.819868,45.566326],[-113.804796,45.580358],[-113.803261,45.584193],[-113.802955,45.592631],[-113.806729,45.602146],[-113.823068,45.612486],[-113.861404,45.62366],[-113.886006,45.61702],[-113.904691,45.622007],[-113.902539,45.636945],[-113.898883,45.644167],[-113.900588,45.648259],[-113.903582,45.651165],[-113.919752,45.658536],[-113.930403,45.671878],[-113.93422,45.682232],[-113.971565,45.700636],[-113.986656,45.704564],[-114.015633,45.696127],[-114.019315,45.692937],[-114.020533,45.681223],[-114.02007,45.670332],[-114.013786,45.658238],[-114.014973,45.654008],[-114.018731,45.648616],[-114.033456,45.648629],[-114.067619,45.627706],[-114.08179,45.611329],[-114.083149,45.603996],[-114.0821,45.596958],[-114.086584,45.59118],[-114.100308,45.586354],[-114.122322,45.58426],[-114.131469,45.574444],[-114.132359,45.572531],[-114.128601,45.568996],[-114.129099,45.565491],[-114.135249,45.557465],[-114.154837,45.552916],[-114.180043,45.551432],[-114.18647,45.545539],[-114.192802,45.536596],[-114.203665,45.53557],[-114.227942,45.546423],[-114.248121,45.545877],[-114.251836,45.537812],[-114.248183,45.533226],[-114.247824,45.524283],[-114.261616,45.495816],[-114.270717,45.486116],[-114.279217,45.480616],[-114.333218,45.459316],[-114.345019,45.459916],[-114.360719,45.474116],[-114.36562,45.490416],[-114.36852,45.492716],[-114.388618,45.502903],[-114.415804,45.509753],[-114.438991,45.536076],[-114.450863,45.54253],[-114.456764,45.543983],[-114.460542,45.561283],[-114.473759,45.563278],[-114.498176,45.555473],[-114.506341,45.559216],[-114.517761,45.568129],[-114.526075,45.570771],[-114.549508,45.56059],[-114.559038,45.565706],[-114.558253,45.585104],[-114.553999,45.591279],[-114.538132,45.606834],[-114.544905,45.616673],[-114.553937,45.619299],[-114.563305,45.631612],[-114.563652,45.637412],[-114.561046,45.639906],[-114.53577,45.650613],[-114.529678,45.65232],[-114.522142,45.64934],[-114.507645,45.658949],[-114.499637,45.669035],[-114.495421,45.703321],[-114.497553,45.710677],[-114.504869,45.722176],[-114.535634,45.739095],[-114.566172,45.773864],[-114.562509,45.779927],[-114.555487,45.786249],[-114.544692,45.791447],[-114.512973,45.828825],[-114.51704,45.833148],[-114.517143,45.835993],[-114.514596,45.840785],[-114.509303,45.845531],[-114.498809,45.850676],[-114.470296,45.851343],[-114.455532,45.855012],[-114.44868,45.858891],[-114.422963,45.855381],[-114.409477,45.85164],[-114.388243,45.88234],[-114.387166,45.889164],[-114.395059,45.901458],[-114.404314,45.903497],[-114.413168,45.911479],[-114.431159,45.935737],[-114.431328,45.938023],[-114.427717,45.939625],[-114.423681,45.9441],[-114.415977,45.947891],[-114.411933,45.952358],[-114.404708,45.9559],[-114.402261,45.961489],[-114.403712,45.967049],[-114.409353,45.97141],[-114.411892,45.977883],[-114.419899,45.981106],[-114.425843,45.984984],[-114.470965,45.995742],[-114.47729,46.000802],[-114.477922,46.009025],[-114.473811,46.016614],[-114.480241,46.030325],[-114.485793,46.030022],[-114.490572,46.032427],[-114.493418,46.03717],[-114.494683,46.042546],[-114.492153,46.04729],[-114.468529,46.062484],[-114.461864,46.078571],[-114.460049,46.097104],[-114.474415,46.112515],[-114.488303,46.113106],[-114.5213,46.125287],[-114.527096,46.146218],[-114.514706,46.167726],[-114.489254,46.167684],[-114.478333,46.160876],[-114.472643,46.162202],[-114.457549,46.170231],[-114.445928,46.173933],[-114.443215,46.202943],[-114.445497,46.220227],[-114.449819,46.237119],[-114.451912,46.241253],[-114.468254,46.248796],[-114.470479,46.26732],[-114.465024,46.273127],[-114.453257,46.270939],[-114.441326,46.2738],[-114.43544,46.27661],[-114.427309,46.283624],[-114.425587,46.287899],[-114.433478,46.305502],[-114.431708,46.310744],[-114.413758,46.335945],[-114.410682,46.360673],[-114.411592,46.366688],[-114.422458,46.387097],[-114.408974,46.400438],[-114.384756,46.411784],[-114.376413,46.442983],[-114.379338,46.460166],[-114.383051,46.466402],[-114.394447,46.469549],[-114.400068,46.47718],[-114.403019,46.498675],[-114.400257,46.502143],[-114.395204,46.503148],[-114.385871,46.50437],[-114.375348,46.501855],[-114.35874,46.505306],[-114.351655,46.508119],[-114.342072,46.519679],[-114.349208,46.529514],[-114.348733,46.533792],[-114.34534,46.548444],[-114.339533,46.564039],[-114.33175,46.571914],[-114.331338,46.577781],[-114.333931,46.582732],[-114.334992,46.588154],[-114.333931,46.592162],[-114.322519,46.611066],[-114.322912,46.642938],[-114.320665,46.646963],[-114.32456,46.653579],[-114.332887,46.660756],[-114.360709,46.669059],[-114.394514,46.664846],[-114.403383,46.659633],[-114.410907,46.657466],[-114.424424,46.660648],[-114.453239,46.649266],[-114.45425,46.640974],[-114.466902,46.631695],[-114.486218,46.632829],[-114.498007,46.637655],[-114.547321,46.644485],[-114.561582,46.642043],[-114.583385,46.633227],[-114.593292,46.632848],[-114.615036,46.639733],[-114.616354,46.643646],[-114.611676,46.647704],[-114.614716,46.655256],[-114.621483,46.658143],[-114.635713,46.659375],[-114.642713,46.673145],[-114.641745,46.679286],[-114.631898,46.68397],[-114.623198,46.691511],[-114.620859,46.707415],[-114.626695,46.712889],[-114.632954,46.715495],[-114.649388,46.73289],[-114.696656,46.740572],[-114.699008,46.740223],[-114.710425,46.717704],[-114.713516,46.715138],[-114.727445,46.714604],[-114.740115,46.711771],[-114.747758,46.702649],[-114.749257,46.699688],[-114.751921,46.697207],[-114.76689,46.696901],[-114.787065,46.711255],[-114.788656,46.714033],[-114.779668,46.730411],[-114.773765,46.731805],[-114.76718,46.738828],[-114.765127,46.745383],[-114.765106,46.758153],[-114.79004,46.778729],[-114.808587,46.78235],[-114.818161,46.781139],[-114.829117,46.782503],[-114.835917,46.791111],[-114.844794,46.794305],[-114.856874,46.801633],[-114.860067,46.804988],[-114.861376,46.81196],[-114.864342,46.813858],[-114.880588,46.811791],[-114.888146,46.808573],[-114.897857,46.813184],[-114.904505,46.822851],[-114.920459,46.827697],[-114.927837,46.83599],[-114.92845,46.843242],[-114.92349,46.847594],[-114.928615,46.854815],[-114.940398,46.85605],[-114.947413,46.859324],[-114.943281,46.867971],[-114.938713,46.869021],[-114.931608,46.876799],[-114.931058,46.882108],[-114.936805,46.897378],[-114.935035,46.901749],[-114.927948,46.909948],[-114.927432,46.914185],[-114.929997,46.919625],[-114.960597,46.93001],[-114.986539,46.952099],[-115.00091,46.967703],[-115.001274,46.971901],[-115.028386,46.975659],[-115.028994,46.973159],[-115.031651,46.971548],[-115.047857,46.969533],[-115.049538,46.970774],[-115.057098,46.986758],[-115.066223,46.996375],[-115.071254,47.022083],[-115.087806,47.045519],[-115.098136,47.048897],[-115.102681,47.047239],[-115.107132,47.049041],[-115.120917,47.061237],[-115.136671,47.078276],[-115.139515,47.08456],[-115.140375,47.093013],[-115.170436,47.106265],[-115.172938,47.112881],[-115.189451,47.131032],[-115.200547,47.139154],[-115.223246,47.148974],[-115.243707,47.150347],[-115.255146,47.162876],[-115.255786,47.174725],[-115.261885,47.181742],[-115.286353,47.18327],[-115.300504,47.188139],[-115.300805,47.19393],[-115.295986,47.205658],[-115.29211,47.209861],[-115.294785,47.220914],[-115.298794,47.225245],[-115.307239,47.229892],[-115.311875,47.229673],[-115.317124,47.233305],[-115.324832,47.244841],[-115.326903,47.255912],[-115.339201,47.261623],[-115.3593,47.259461],[-115.36628,47.261485],[-115.371825,47.265213],[-115.410685,47.264228],[-115.421645,47.271736],[-115.423173,47.276222],[-115.428359,47.278722],[-115.443566,47.277309],[-115.457077,47.277794],[-115.470959,47.284873],[-115.487314,47.286518],[-115.51186,47.295219],[-115.526751,47.303219],[-115.531971,47.314121],[-115.548658,47.332213],[-115.551079,47.349856],[-115.556318,47.353076],[-115.564766,47.353476],[-115.570887,47.356375],[-115.578619,47.367007],[-115.609492,47.380799],[-115.617247,47.382521],[-115.639186,47.378605],[-115.644341,47.381826],[-115.648479,47.390293],[-115.657681,47.400651],[-115.69057,47.415059],[-115.71034,47.417784],[-115.718934,47.420967],[-115.72148,47.424469],[-115.728801,47.428925],[-115.731348,47.433381],[-115.728801,47.445159],[-115.718247,47.45316],[-115.69293,47.457237],[-115.671188,47.45439],[-115.663867,47.456936],[-115.654318,47.468077],[-115.653044,47.476035],[-115.655272,47.477944],[-115.686704,47.485596],[-115.694106,47.498634],[-115.708748,47.51264],[-115.71034,47.52951],[-115.717024,47.532693],[-115.741371,47.538645],[-115.747263,47.543197],[-115.748536,47.549245],[-115.746945,47.555293],[-115.734674,47.567401],[-115.721207,47.576323],[-115.706473,47.577299],[-115.689404,47.595402],[-115.694284,47.62346],[-115.708537,47.635356],[-115.715193,47.63634],[-115.72993,47.642442],[-115.73627,47.654762],[-115.726613,47.672093],[-115.72377,47.696671],[-115.730764,47.704426],[-115.752349,47.716743],[-115.758623,47.719041],[-115.763424,47.717313],[-115.77177,47.717412],[-115.776219,47.719818],[-115.783504,47.729305],[-115.780441,47.743447],[-115.797299,47.75752],[-115.803917,47.75848],[-115.824597,47.752154],[-115.831755,47.755785],[-115.835365,47.760957],[-115.835069,47.77006],[-115.837438,47.774846],[-115.84044,47.780172],[-115.847487,47.785227],[-115.848509,47.809331],[-115.845474,47.814967],[-115.852291,47.827991],[-115.870861,47.834939],[-115.875262,47.843272],[-115.881522,47.849672],[-115.900934,47.843064],[-115.906409,47.846261],[-115.919291,47.857406],[-115.939993,47.883153],[-115.959946,47.898142],[-115.965153,47.910131],[-115.969076,47.914256],[-115.982791,47.915994],[-115.993678,47.926183],[-115.995121,47.933827],[-115.998236,47.938779],[-116.007246,47.950087],[-116.030751,47.973349],[-116.03834,47.971318],[-116.04882,47.97716],[-116.049153,47.999923],[-116.048739,48.060093],[-116.04932,48.066644],[-116.049415,48.07722],[-116.048911,48.12493],[-116.049977,48.237604],[-116.049353,48.249936],[-116.049735,48.274668],[-116.048948,48.309847],[-116.050003,48.413492],[-116.049155,48.481247],[-116.049193,49.000912],[-116.00103,49.00127],[-115.990685,49.000909],[-115.501016,49.000694],[-115.207912,48.999228],[-114.375977,49.00139],[-114.250971,49.000905],[-114.224912,48.999687],[-114.201107,48.999249],[-114.180211,48.999703],[-114.059188,48.998856],[-113.907487,48.998858],[-113.864127,48.998276],[-113.692982,48.997632],[-113.576118,48.998478],[-113.375925,48.998562],[-113.356874,48.998224],[-113.19474,48.998909],[-113.116356,48.998462],[-112.143769,48.998917],[-112.003866,48.99857],[-112.000878,48.998921],[-111.761679,48.997614],[-111.500812,48.996963],[-111.003916,48.997537],[-110.592465,48.999012],[-110.531615,48.99839],[-110.438151,48.999188],[-109.500737,49.00044],[-109.454023,49.001132],[-109.437397,49.000631],[-109.384068,49.000374],[-109.285975,49.000479],[-109.250722,49.000011],[-109.000708,48.999234],[-107.704696,48.999872],[-107.441017,48.999363],[-107.363582,49.000019],[-106.050543,48.999207],[-105.612577,48.999703],[-104.875527,48.998991],[-104.048736,48.999877],[-104.0489,48.847387],[-104.047582,48.633984],[-104.048212,48.599055],[-104.047876,48.530798],[-104.047513,48.525913],[-104.048054,48.500025],[-104.047555,48.49414],[-104.046969,48.390675],[-104.046371,48.374154],[-104.046039,48.256761],[-104.045645,48.246179],[-104.044162,47.992836],[-104.041662,47.862282],[-104.043242,47.747106],[-104.043742,47.625016],[-104.044241,47.612288],[-104.043912,47.603229],[-104.044109,47.523595],[-104.045333,47.343452],[-104.045057,47.266868],[-104.045517,47.215666],[-104.044788,47.12743],[-104.045018,47.081202],[-104.045354,47.078574],[-104.045052,47.040863],[-104.045901,46.83079],[-104.045045,46.509788],[-104.046103,46.383916],[-104.045481,46.366871],[-104.045237,46.125002],[-104.045759,46.123946],[-104.046822,46.000199],[-104.04403,45.881975],[-104.042597,45.749998],[-104.041937,45.557915],[-104.041145,45.503367],[-104.041764,45.490789],[-104.040816,45.462708],[-104.040114,45.374214],[-104.039977,45.124988],[-104.039563,45.124039],[-104.040128,44.999987],[-104.039681,44.998041],[-104.057698,44.997431],[-104.250145,44.99822],[-104.665171,44.998618],[-104.72637,44.999518],[-104.759855,44.999066],[-105.038405,45.000345]]]},\"properties\":{\"name\":\"Montana\",\"nation\":\"USA \"}}]}","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Coral reefs and their ecosystems are threatened by both global stressors, including increasing sea-surface temperatures and ocean acidification (OA), and local stressors such as land-based sources of pollution that can magnify the effects of OA. Corals can physiologically control the chemistry of their internal calcifying fluids (CF) and can thereby regulate their calcification process. Specifically, increasing aragonite saturation state in the CF (ΩCF) may allow corals to calcify even under external low saturation conditions. Questions remain regarding the physiological processes that govern the CF chemistry and how they change in response to multiple stressors. To address this knowledge gap, the boron δ11B and B/Ca were analyzed in tropical corals, Porites lobata, collected at submarine groundwater seeps impacted by the release of treated wastewater in west Maui, Hawai'i, to document the interactions between high nutrient / low pH seep water on CF carbonate chemistry. Results show substantial up-regulation of pH and dissolved inorganic carbon (DIC) with respect to seawater in P. lobata corals collected from within the wastewater impacted area at Kahekili Beach Park compared to the control site at Olowalu Beach. The ΩCF was 9 to 10 times higher than ambient seawater Ω, and 13 to 26% higher than in corals from the control site and from values previously observed in tropical Porites spp. corals. Such elevated up-regulation suggests that corals exposed to nutrient-enriched, low pH effluent sustain CF supersaturated with respect to aragonite, possibly as an internal coping mechanism to combat multiple stressors from land-based sources of pollution. This elevated up-regulation has implications to coral vulnerability to future climate- and ocean-change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2022.104134","usgsCitation":"Prouty, N.G., Wall, M., Fietzke, J., Cheriton, O.M., Anagnostou, E., Phillip, B., and Paytan, A., 2022, The role of pH up-regulation in response to nutrient-enriched, low-pH groundwater discharge: Marine Chemistry, v. 243, 104134, 11 p., https://doi.org/10.1016/j.marchem.2022.104134.","productDescription":"104134, 11 p.","ipdsId":"IP-136166","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2022.104134","text":"Publisher Index Page"},{"id":402149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kahekili Beach Park, Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.7,\n 20.929\n ],\n [\n -156.68,\n 20.929\n ],\n [\n -156.68,\n 20.95\n ],\n [\n -156.7,\n 20.95\n ],\n [\n -156.7,\n 20.929\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"243","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":844679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wall, Marlene","contributorId":292468,"corporation":false,"usgs":false,"family":"Wall","given":"Marlene","email":"","affiliations":[{"id":62913,"text":"2GEOMAR Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":844680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fietzke, J.","contributorId":41656,"corporation":false,"usgs":true,"family":"Fietzke","given":"J.","affiliations":[],"preferred":false,"id":844681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":844682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anagnostou, Eleni 0000-0002-7200-4794","orcid":"https://orcid.org/0000-0002-7200-4794","contributorId":292469,"corporation":false,"usgs":false,"family":"Anagnostou","given":"Eleni","email":"","affiliations":[{"id":13697,"text":"GEOMAR Helmholtz Centre for Ocean Research","active":true,"usgs":false}],"preferred":false,"id":844683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillip, Brian","contributorId":292470,"corporation":false,"usgs":false,"family":"Phillip","given":"Brian","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":844684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paytan, Adina 0000-0001-8360-4712","orcid":"https://orcid.org/0000-0001-8360-4712","contributorId":193046,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","email":"","affiliations":[],"preferred":false,"id":844685,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231446,"text":"ofr20221031 - 2022 - Dynamic rating method for computing discharge from time-series stage data","interactions":[],"lastModifiedDate":"2026-03-27T20:08:34.586583","indexId":"ofr20221031","displayToPublicDate":"2022-06-08T08:55:54","publicationYear":"2022","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":"2022-1031","displayTitle":"Dynamic Rating Method for Computing Discharge from Time-Series Stage Data","title":"Dynamic rating method for computing discharge from time-series stage data","docAbstract":"Ratings are used for a variety of reasons in water-resources investigations. The simplest rating relates discharge to the stage of the river. From a pure hydrodynamics perspective, all rivers and streams have some form of hysteresis in the relation between stage and discharge because of unsteady flow as a flood wave passes. Simple ratings are unable to represent hysteresis in a stage/discharge relation. A dynamic rating method is capable of capturing hysteresis owing to the variable energy slope caused by unsteady momentum and pressure.
A dynamic rating method developed to compute discharge from stage for compact channel geometry, referred to as DYNMOD, previously has been developed through a simplification of the one-dimensional Saint-Venant equations. A dynamic rating method, which accommodates compound and compact channel geometry, referred to as DYNPOUND, has been developed through a similar simplification as a part of this study. The DYNMOD and DYNPOUND methods were implemented in the Python programming language. Discharge time series computed with the dynamic rating method implementations were then compared to simulated discharge time series and discrete discharge measurements made at U.S. Geological Survey streamgage sites.
Four sets of stage and discharge time series were created using one-dimensional unsteady simulation software with compound channel geometry to compare the results of both dynamic rating methods to results from the full one-dimensional shallow water equations. Discharge time series were computed from stage time series using DYNMOD and DYNPOUND. DYNPOUND outperformed DYNMOD in all four scenarios. The minimum and maximum mean squared logarithmic error (MSLE) for the DYNMOD results were 2.75×10−2 and 3.40×10−2, respectively. The minimum and maximum MSLE for the DYNPOUND results were 2.51×10−7 and 1.91×10−4, respectively.
The dynamic rating methods were calibrated for six U.S. Geological Survey streamgage sites using observed discharge data collected at the sites. The calibration objective for each site was to minimize the MSLE of the discharge computed with the rating method with respect to observed discharge. For each site, the calibration included all field measurements within a selected water year. The DYNMOD method failed to compute discharge for the full calibration time series for three sites. A method fails to compute when the implementation returns a nonfinite value at a time step. Because the values computed for following time steps are dependent on the previous time step, a nonfinite value results in nonfinite values that follow. For the three sites for which DYNMOD computed the complete discharge time series, the minimum MSLE for calibration was 2.19×10−3 and the maximum was 9.77×10−3. The MSLE of the DYNPOUND computed discharge calibration time series for the six sites ranged from 3.70×10−3 to 1.25. For each site, an event-based time period was selected to compare the discharge time series computed with the dynamic rating methods to discrete discharge field measurements made at the streamgage sites. The DYNMOD-computed discharge time series for the three sites had an MSLE range of 2.76×10−3 to 3.14×10−2. The range of MSLE for the six DYNPOUND sites was 3.64×10−3 to 7.23×10−2. Although the DYNMOD method outperforms the DYNPOUND method when calibrated streamgage sites are under consideration, the DYNMOD method failed to compute a discharge time series at three of the six sites. The DYNPOUND method, therefore, was more robust than the DYNMOD method. Improvements to the implementation of the DYNPOUND method may improve the accuracy of the method.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221031","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Domanski, M., Holmes, R.R., Jr., and Heal, E.N., 2022, Dynamic rating method for computing discharge from time-series stage data: U.S. Geological Survey Open-File Report 2022–1031, 48 p., https://doi.org/10.3133/ofr20221031.","productDescription":"Report: vii, 48 p.; 2 Data Releases; Dataset","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-128037","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501770,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113161.htm","linkFileType":{"id":5,"text":"html"}},{"id":400457,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":400459,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YUV9DG","text":"USGS data release","linkHelpText":"Dynamic stage to discharge rating model archive"},{"id":400458,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P955QRPQ","text":"USGS data release","linkHelpText":"Dynamic rating method for computing discharge from time series stage data—Site datasets"},{"id":400454,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1031/ofr20221031.XML"},{"id":400455,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1031/images"},{"id":400453,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1031/ofr20221031.pdf","text":"Report","size":"2.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1031"},{"id":400452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1031/coverthb.jpg"}],"contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
Inland fisheries feed greater than 150 million people globally, yet their status is rarely assessed due to their socio-ecological complexity and pervasive lack of data. Here, we leverage an unprecedented landings time series from the Amazon, Earth's largest river basin, together with theoretical food web models to examine (i) taxonomic and trait-based signatures of exploitation in inland fish landings and (ii) implications of changing biodiversity for fisheries resilience. In both landings time series and theory, we find that multi-species exploitation of diverse inland fisheries results in a hump-shaped landings evenness curve. Along this trajectory, abundant and large species are sequentially replaced with faster growing and smaller species. Further theoretical analysis indicates that harvests can be maintained for a period of time but that continued biodiversity depletion reduces the pool of compensating species and consequently diminishes fisheries resilience. Critically, higher fisheries biodiversity can delay fishery collapse. Although existing landings data provide an incomplete snapshot of long-term dynamics, our results suggest that multi-species exploitation is affecting freshwater biodiversity and eroding fisheries resilience in the Amazon. More broadly, we conclude that trends in landings evenness could characterize multi-species fisheries development and aid in assessing their sustainability.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2022.0726","usgsCitation":"Heilpern, S., Sethi, S., Barthem, R., da Silva Batista, V., Doria, C.R., Duponchelle, F., Garcia Vasquez, A., Goulding, M., Isaac, V., Naeem, S., and Flecker, A., 2022, Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.: Proceedings of the Royal Society B, Biological Sciences, v. 289, no. 1976, 20220726, 10 p., https://doi.org/10.1098/rspb.2022.0726.","productDescription":"20220726, 10 p.","ipdsId":"IP-117938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487601,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00776/88847/","text":"External Repository"},{"id":481448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, Peru","otherGeospatial":"Amazon River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -63.313226573988004,\n 2.0612813356318185\n ],\n [\n -69.56203866644994,\n -0.014204318512454961\n ],\n [\n -75.92570575301421,\n -4.378615486744579\n ],\n [\n -74.45715869209243,\n -11.37283711742269\n ],\n [\n -68.58854564799162,\n -14.624571352339885\n ],\n [\n -56.626853677433644,\n -11.79116453472244\n ],\n [\n -51.789283587896364,\n -5.789272637136122\n ],\n [\n -45.633273589919156,\n -0.6212788606292179\n ],\n [\n -49.98030189640525,\n 2.344463983995297\n ],\n [\n -63.313226573988004,\n 2.0612813356318185\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"289","issue":"1976","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Heilpern, Sebastian A.","contributorId":350166,"corporation":false,"usgs":false,"family":"Heilpern","given":"Sebastian A.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":925457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barthem, Ronaldo B.","contributorId":350167,"corporation":false,"usgs":false,"family":"Barthem","given":"Ronaldo B.","affiliations":[{"id":83689,"text":"Museu Paraense Emilio Goeldi","active":true,"usgs":false}],"preferred":false,"id":925458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva Batista, Vandick","contributorId":350168,"corporation":false,"usgs":false,"family":"da Silva Batista","given":"Vandick","affiliations":[{"id":83690,"text":"Universidade Federal de Alagoas","active":true,"usgs":false}],"preferred":false,"id":925459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doria, Carolina RC","contributorId":218602,"corporation":false,"usgs":false,"family":"Doria","given":"Carolina","email":"","middleInitial":"RC","affiliations":[],"preferred":false,"id":925460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duponchelle, Fabrice","contributorId":350172,"corporation":false,"usgs":false,"family":"Duponchelle","given":"Fabrice","affiliations":[{"id":83694,"text":"Evolution et Domestication de l’Ichtyofaune Amazonienne","active":true,"usgs":false}],"preferred":false,"id":925461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcia Vasquez, Aurea","contributorId":350173,"corporation":false,"usgs":false,"family":"Garcia Vasquez","given":"Aurea","affiliations":[{"id":83694,"text":"Evolution et Domestication de l’Ichtyofaune Amazonienne","active":true,"usgs":false}],"preferred":false,"id":925462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goulding, Michael","contributorId":350174,"corporation":false,"usgs":false,"family":"Goulding","given":"Michael","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":925463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isaac, Victoria","contributorId":350175,"corporation":false,"usgs":false,"family":"Isaac","given":"Victoria","affiliations":[{"id":83695,"text":"Núcleo de Ecologia Aquática e Pesca da Amazônia","active":true,"usgs":false}],"preferred":false,"id":925464,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Naeem, Shahid","contributorId":287018,"corporation":false,"usgs":false,"family":"Naeem","given":"Shahid","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":925527,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flecker, Alexander S.","contributorId":350176,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander S.","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":925465,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70232155,"text":"70232155 - 2022 - Distinct pathways to stakeholder use versus academic contribution in climate adaptation research","interactions":[],"lastModifiedDate":"2022-09-01T14:38:29.691646","indexId":"70232155","displayToPublicDate":"2022-06-08T08:47:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Distinct pathways to stakeholder use versus academic contribution in climate adaptation research","docAbstract":"Challenges facing societies around the globe as they plan for and adapt to climate change are so large that usable, research-driven recommendations to inform management actions are urgently needed. We sought to understand factors that influence the variation of academic contribution and use of collaborative research on climate change. We surveyed researchers (n = 31), program-leaders (n = 5), and stakeholders (n = 81) from projects supported by a federally funded network across the United States. Our results suggest that peer-reviewed publications do not lead to use, but frequency of meetings with stakeholders significantly increased use. Overall, the factors needed for projects to have high degrees of academic contributions are distinct from those needed to be useful to stakeholders. Furthermore, leadership perceptions of use of projects were significantly different from users. Our quantitative results can inform future requests for proposals and better enable researchers using collaborative approaches to conduct science that is more often used by stakeholders.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12892","usgsCitation":"Hyman, A.A., Courtney, S., McNeal, K.S., Bialic-Murphy, L., Furiness, C., Eaton, M.J., and Armsworth, P., 2022, Distinct pathways to stakeholder use versus academic contribution in climate adaptation research: Conservation Letters, v. 15, no. 4, e12892, 10 p., https://doi.org/10.1111/conl.12892.","productDescription":"e12892, 10 p.","ipdsId":"IP-137818","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":447494,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/conl.12892","text":"External Repository"},{"id":401982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyman, Amanda A","contributorId":292345,"corporation":false,"usgs":false,"family":"Hyman","given":"Amanda","email":"","middleInitial":"A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":844369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtney, Stephanie","contributorId":292346,"corporation":false,"usgs":false,"family":"Courtney","given":"Stephanie","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":844370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeal, Karen S","contributorId":292348,"corporation":false,"usgs":false,"family":"McNeal","given":"Karen","email":"","middleInitial":"S","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":844371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bialic-Murphy, Lalasia 0000-0001-6046-8316","orcid":"https://orcid.org/0000-0001-6046-8316","contributorId":248274,"corporation":false,"usgs":false,"family":"Bialic-Murphy","given":"Lalasia","email":"","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":844372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furiness, Cari","contributorId":292350,"corporation":false,"usgs":false,"family":"Furiness","given":"Cari","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":844373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":844374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Armsworth, Paul A","contributorId":292352,"corporation":false,"usgs":false,"family":"Armsworth","given":"Paul A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":844375,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70232327,"text":"70232327 - 2022 - Water storage decisions and consumptive use may constrain ecosystem management under severe sustained drought","interactions":[],"lastModifiedDate":"2022-10-17T15:32:14.964305","indexId":"70232327","displayToPublicDate":"2022-06-08T07:45:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Water storage decisions and consumptive use may constrain ecosystem management under severe sustained drought","docAbstract":"Drought has impacted the Colorado River basin for the past 20 years and is predicted to continue. In response, decisions about how much water should be stored in large reservoirs and how much water can be consumptively used will be necessary. These decisions have the potential to limit riverine ecosystem management options through the effect water-supply decisions have on reservoir elevations. We used projected hydrology and river temperatures to compare the outcome of combinations of water storage scenarios and consumptive use limits on metrics associated with ecosystem management of the Colorado River in Grand Canyon. Ecosystem management metrics included the ability to implement designer flows, temperature suitability for fishes, and fragmentation. We compared current water management operations to prioritizing storage in either Lake Mead or Lake Powell combined with three levels of consumptive use. Projected reservoir levels limited environmental flow delivery and increased fragmentation regardless of where water was stored if consumptive use was not limited. Warmer river temperatures associated with low reservoir levels are likely, creating suitable conditions for non-native species of concern, such as smallmouth bass. Water storage decisions provided variability and management flexibility, but water storage was less important when less water was available, highlighting the importance of keeping water in the system to provide flexibility for achieving ecosystem goals.
Wastewater generated during petroleum extraction (produced water) may contain high concentrations of dissolved organics due to their intimate association with organic-rich source rocks, expelled petroleum, and organic additives to fluids used for hydraulic fracturing of unconventional (e.g., shale) reservoirs. Dissolved organic matter (DOM) within produced water represents a challenge for treatment prior to beneficial reuse. High salinities characteristic of produced water, often 10× greater than seawater, coupled to the complex DOM ensemble create analytical obstacles with typical methods. Excitation-emission matrix spectroscopy (EEMS) can rapidly characterize the fluorescent component of DOM with little impact from matrix effects. We applied EEMS to evaluate DOM composition in 18 produced water samples from six North American unconventional petroleum plays. Represented reservoirs include the Eagle Ford Shale (Gulf Coast Basin), Wolfcamp/Cline Shales (Permian Basin), Marcellus Shale and Utica/Point Pleasant (Appalachian Basin), Niobrara Chalk (Denver-Julesburg Basin), and the Bakken Formation (Williston Basin). Results indicate that the relative chromophoric DOM composition in unconventional produced water may distinguish different lithologies, thermal maturity of resource types (e.g., heavy oil vs. dry gas), and fracturing fluid compositions, but is generally insensitive to salinity and DOM concentration. These results are discussed with perspective toward DOM influence on geochemical processes and the potential for targeted organic compound treatment for the reuse of produced water.
Mercury is a global contaminant that can be detrimental to wildlife and human health. Anthropogenic emissions and point sources are primarily responsible for elevated mercury concentrations in sediments and waters. Mercury can physically move and chemically transform in the environment, resulting in biomagnification of mercury, in the form of methylmercury, in the food web and causing elevated mercury concentrations in upper trophic levels. The ability to measure total mercury concentrations in the environment has existed for several decades and makes it possible to detect hotspots that might exist because of ongoing or previous anthropogenic activity. However, recent (within the past 15 years) developments in mass spectrometry have made it possible to complete low level stable isotope analysis allowing for the determination of mercury sources—natural and anthropogenic—in the environment through “fingerprinting.” Grubers Grove Bay in Lake Wisconsin, the focus area of this study, was determined to have elevated mercury levels even after multiple remediation efforts, resulting in its listing on the Federal list of impaired waters pursuant to the Clean Water Act. Adjacent to the bay is the former Badger Army Ammunition Plant, which manufactured ammunition for the U.S. Army during the early and middle 20th century, after which it was put on standby before being fully decommissioned. This study assesses mercury concentrations in the sediments and suspended particulate matter of Grubers Grove Bay, Wiegands Bay, and upstream sites, and in adjacent soils on the former Badger Army Ammunition Plant site. This study confirmed that mercury contamination exists in the sediments of Grubers Grove Bay even after dredging attempts by the U.S. Army. Additionally, using isotope ratios and a two-endmember mixing model, it was determined that soil from within Badger Army Ammunition Plant’s former site contributed a substantial amount of mercury to the bay. This result was supported by an observed gradient of high to low mercury concentrations from the innermost (nearest Badger Army Ammunition Plant) to the outermost (farthest from Badger Army Ammunition Plant) part of the bay.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221051","collaboration":"Prepared in cooperation with U.S. Army Environmental Command","usgsCitation":"Routhier, E.J., Janssen, S.E., Tate, M.T., Ogorek, J.M., DeWild, J.F., and Krabbenhoft, D.P., 2022, Assessment of mercury in sediments and waters of Grubers Grove Bay, Wisconsin: U.S. Geological Survey Open-File Report 2022–1051, 20 p., https://doi.org/10.3133/ofr20221051.","productDescription":"Report: vii, 20 p.; Data release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-133343","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501779,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113162.htm","linkFileType":{"id":5,"text":"html"}},{"id":401822,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990MFHU","text":"USGS data release","linkHelpText":"Gruber's Grove Bay mercury site assessment"},{"id":401821,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1051/images"},{"id":401819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1051/ofr20221051.pdf","text":"Report","size":"2.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1051"},{"id":401818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1051/coverthb.jpg"},{"id":401820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1051/ofr20221051.XML"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Grubers Grove Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.74800109863281,\n 43.32467816302811\n ],\n [\n -89.64569091796874,\n 43.32467816302811\n ],\n [\n -89.64569091796874,\n 43.393572674883146\n ],\n [\n -89.74800109863281,\n 43.393572674883146\n ],\n [\n -89.74800109863281,\n 43.32467816302811\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Director, Region 7 - Upper Colorado Basin
U.S. Geological Survey
Denver Federal Center, Bldg. 67
P.O. Box 25046, MS 911
Denver, CO 80225–0046
Keys to Burrowing Owl (Athene cunicularia hypugaea) management include providing areas of short, sparse vegetation and maintaining populations of prey species and of burrowing mammals to ensure availability of burrows as nest sites. In particular, the conservation of black-tailed prairie dog (Cynomys ludovicianus) and Richardson’s ground squirrel (Urocitellus richardsonii) colonies is vital to the preservation of Burrowing Owls on the Great Plains. Burrowing Owls have been reported to use habitats with less than 31 centimeters (cm) average vegetation height, 5–12 cm visual obstruction reading, 12–36 percent grass cover, 29–45 percent forb cover, 1–11 percent shrub cover, 11–58 percent bare ground, and 6–27 percent litter cover.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842P","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Rabie, P.A., Thiele, J.P., and Euliss, B.R., 2022, The effects of management practices on grassland birds—Burrowing Owl (Athene cunicularia hypugaea) (ver. 1.1, May 2023), chap. P of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 35 p., https://doi.org/10.3133/pp1842P.","productDescription":"v, 35 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-096453","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":401788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/p/coverthb2.jpg"},{"id":417404,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/p/pp1842p.pdf","text":"Report","size":"2.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–P"},{"id":417405,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1842/p/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: June 7, 2022; Version 1.1: May 24, 2023","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Accelerated sea-level rise and intensifying hurricanes highlight the need to better understand surface elevation change in coastal wetlands. We used the surface elevation table-marker horizon approach to measure surface elevation change in 14 coastal marshes along the northwestern Gulf of Mexico, within five National Wildlife Refuges in Texas (USA). During the 2014–2019 study period, the mean rate of surface elevation change was 1.96 ± 0.87 mm yr−1 (range: -1.57 to 8.37 mm yr−1). Vertical accretion rates varied due to landscape proximity relative to sediment inputs from Hurricane Harvey. At most sites, vertical accretion offset subsurface losses due to shallow subsidence. However, net elevation gains were often lower than recent relative sea-level rise rates, and much lower than rates expected under future sea-level rise. Because these marshes are not keeping pace with recent sea-level rise, it is unlikely that they will be able to adjust to future accelerations. Climate change threatens these Texas coastal wetlands and the ecological and economic services they provide. By characterizing the status and prospective loss of coastal marshes, our study reinforces the value of identifying local and landscape-level adaptation mechanisms that can enhance the ability of coastal marshes to adapt to threats posed by climate change.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01565-3","usgsCitation":"Moon, J.A., Feher, L., Lane, T.C., Vervaeke, W., Osland, M., Head, D.M., Chivoiu, B., Stewart, D., Johnson, D., Grace, J., Metzger, K.L., and Rankin, N.M., 2022, Surface elevation change dynamics in coastal marshes along the northwestern Gulf of Mexico: Anticipating effects of rising sea-level and intensifying hurricanes: Wetlands, v. 42, no. 5, 49, 17 p.; Data Release, https://doi.org/10.1007/s13157-022-01565-3.","productDescription":"49, 17 p.; Data Release","ipdsId":"IP-128980","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":402152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417838,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.7944/P9CBFO1C"}],"country":"United States","state":"Texas","otherGeospatial":"northwestern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.81976318359375,\n 28.07440374060716\n ],\n [\n -96.2677001953125,\n 28.408312587374258\n ],\n [\n -95.20477294921874,\n 28.90961041665505\n ],\n [\n -94.10888671875,\n 29.630771207229\n ],\n [\n -93.83697509765625,\n 29.676121784724305\n ],\n [\n -94.010009765625,\n 29.845408626428448\n ],\n [\n -94.62799072265624,\n 29.5830116903775\n ],\n [\n -95.09765625,\n 29.322325503752857\n ],\n [\n -96.3720703125,\n 28.69299699706187\n ],\n [\n -97.1905517578125,\n 28.11801628757283\n ],\n [\n -96.9927978515625,\n 27.926474039865017\n ],\n [\n -96.81976318359375,\n 28.07440374060716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, Jena A.","contributorId":171483,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":844665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":222375,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Tiffany C.","contributorId":265457,"corporation":false,"usgs":false,"family":"Lane","given":"Tiffany","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":844667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vervaeke, William 0000-0002-1518-5197","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":219652,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Head, Douglas M.","contributorId":292467,"corporation":false,"usgs":false,"family":"Head","given":"Douglas","email":"","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":844670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":844671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":844672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":205688,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","affiliations":[{"id":37106,"text":"Cherokee Nation","active":true,"usgs":false}],"preferred":false,"id":844673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220737,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":844675,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rankin, Nicole M.","contributorId":195575,"corporation":false,"usgs":false,"family":"Rankin","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":34318,"text":"U.S. Fish and Wildlife Service, Awendaw, South Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":844676,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70232234,"text":"70232234 - 2022 - Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","interactions":[],"lastModifiedDate":"2022-08-02T14:40:28.06704","indexId":"70232234","displayToPublicDate":"2022-06-07T09:04:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","docAbstract":"Species' response to rapid climate change can be measured through shifts in timing of recurring biological events, known as phenology. The Gulf of Maine is one of the most rapidly warming regions of the ocean, and thus an ideal system to study phenological and biological responses to climate change. A better understanding of climate-induced changes in phenology is needed to effectively and adaptively manage human-wildlife conflicts. Using data from a 20+ year marine mammal observation program, we tested the hypothesis that the phenology of large whale habitat use in Cape Cod Bay has changed and is related to regional-scale shifts in the thermal onset of spring. We used a multi-season occupancy model to measure phenological shifts and evaluate trends in the date of peak habitat use for North Atlantic right (Eubalaena glacialis), humpback (Megaptera novaeangliae), and fin (Balaenoptera physalus) whales. The date of peak habitat use shifted by +18.1 days (0.90 days/year) for right whales and +19.1 days (0.96 days/year) for humpback whales. We then evaluated interannual variability in peak habitat use relative to thermal spring transition dates (STD), and hypothesized that right whales, as planktivorous specialist feeders, would exhibit a stronger response to thermal phenology than fin and humpback whales, which are more generalist piscivorous feeders. There was a significant negative effect of western region STD on right whale habitat use, and a significant positive effect of eastern region STD on fin whale habitat use indicating differential responses to spatial seasonal conditions. Protections for threatened and endangered whales have been designed to align with expected phenology of habitat use. Our results show that whales are becoming mismatched with static seasonal management measures through shifts in their timing of habitat use, and they suggest that effective management strategies may need to alter protections as species adapt to climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16225","usgsCitation":"Pendleton, D., Tingley, M., Ganley, L., Friedland, K., Mayo, C., Brown, M., McKenna, B., Jordaan, A., and Staudinger, M., 2022, Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem: Global Change Biology, v. 28, no. 16, p. 4989-5005, https://doi.org/10.1111/gcb.16225.","productDescription":"17 p.","startPage":"4989","endPage":"5005","ipdsId":"IP-135322","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":447501,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.16225","text":"External Repository"},{"id":402267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6640625,\n 41.72213058512578\n ],\n [\n -70.02685546875,\n 41.72213058512578\n ],\n [\n -70.02685546875,\n 42.261049162113856\n ],\n [\n -70.6640625,\n 42.261049162113856\n ],\n [\n -70.6640625,\n 41.72213058512578\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Dan","contributorId":292480,"corporation":false,"usgs":false,"family":"Pendleton","given":"Dan","email":"","affiliations":[{"id":48127,"text":"Anderson Cabot Center for Marine Life","active":true,"usgs":false}],"preferred":false,"id":844744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tingley, Morgan","contributorId":292481,"corporation":false,"usgs":false,"family":"Tingley","given":"Morgan","affiliations":[],"preferred":false,"id":844745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganley, Laura","contributorId":292482,"corporation":false,"usgs":false,"family":"Ganley","given":"Laura","email":"","affiliations":[],"preferred":false,"id":844746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedland, Kevin","contributorId":292483,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","affiliations":[],"preferred":false,"id":844747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayo, Charlie","contributorId":292484,"corporation":false,"usgs":false,"family":"Mayo","given":"Charlie","email":"","affiliations":[],"preferred":false,"id":844748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Moria","contributorId":292485,"corporation":false,"usgs":false,"family":"Brown","given":"Moria","email":"","affiliations":[],"preferred":false,"id":844749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, Brigid","contributorId":292486,"corporation":false,"usgs":false,"family":"McKenna","given":"Brigid","email":"","affiliations":[],"preferred":false,"id":844750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordaan, Adrian","contributorId":292487,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[],"preferred":false,"id":844751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":205971,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":844752,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70236485,"text":"70236485 - 2022 - Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms","interactions":[],"lastModifiedDate":"2022-09-08T14:22:29.185644","indexId":"70236485","displayToPublicDate":"2022-06-07T09:03:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1026,"text":"Biology","active":true,"publicationSubtype":{"id":10}},"title":"Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms","docAbstract":"We used light and confocal microscopy to visualize bacteria in leaf and bract cells of more than 30 species in 18 families of seed plants. Through histochemical analysis, we detected hormones (including ethylene and nitric oxide), superoxide, and nitrogenous chemicals (including nitric oxide and nitrate) around bacteria within plant cells. Bacteria were observed in epidermal cells, various filamentous and glandular trichomes, and other non-photosynthetic cells. Most notably, bacteria showing nitrate formation based on histochemical staining were present in glandular trichomes of some dicots (e.g., Humulus lupulus and Cannabis sativa). Glandular trichome chemistry is hypothesized to function to scavenge oxygen around bacteria and reduce oxidative damage to intracellular bacterial cells. Experiments to assess the differential absorption of isotopic nitrogen into plants suggest the assimilation of nitrogen into actively growing tissues of plants, where bacteria are most active and carbohydrates are more available. The leaf and bract cell endosymbiosis types outlined in this paper have not been previously reported and may be important in facilitating plant growth, development, oxidative stress resistance, and nutrient absorption into plants. It is unknown whether leaf and bract cell endosymbioses are significant in increasing the nitrogen content of plants. From the experiments that we conducted, it is impossible to know whether plant trichomes evolved specifically as organs for nitrogen fixation or if, instead, trichomes are structures in which bacteria easily colonize and where some casual nitrogen transfer may occur between bacteria and plant cells. It is likely that the endosymbioses seen in leaves and bracts are less efficient than those of root nodules of legumes in similar plants. However, the presence of endosymbioses that yield nitrate in plants could confer a reduced need for soil nitrogen and constitute increased nitrogen-use efficiency, even if the actual amount of nitrogen transferred to plant cells is small. More research is needed to evaluate the importance of nitrogen transfer within leaf and bract cells of plants
","language":"English","publisher":"MDPI","doi":"10.3390/biology11060876","usgsCitation":"Micci, A., Zhang, Q., Chang, X., Kingsley, K., Park, L., Chiaranunt, P., Strickland, R., Velazquez, F., Lindert, S., Elmore, M.T., Vines, P.L., Crane, S., Irizarry, I., Kowalski, K., Johnston-Monje, D., and White, J., 2022, Histochemical evidence for nitrogen‐transfer Endosymbiosis in non‐photosynthetic cells of leaves and inflorescence bracts of angiosperms: Biology, v. 11, no. 6, 876, 31 p., https://doi.org/10.3390/biology11060876.","productDescription":"876, 31 p.","ipdsId":"IP-137317","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":447503,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/biology11060876","text":"Publisher Index Page"},{"id":435813,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5K1MV","text":"USGS data release","linkHelpText":"Histochemical study of nitrogen-transfer endosymbiosis"},{"id":406378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Micci, April","contributorId":178393,"corporation":false,"usgs":false,"family":"Micci","given":"April","email":"","affiliations":[],"preferred":false,"id":851197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Qiuwei","contributorId":264269,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiuwei","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Xiaoqian","contributorId":264267,"corporation":false,"usgs":false,"family":"Chang","given":"Xiaoqian","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kingsley, Kathryn","contributorId":178391,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","affiliations":[],"preferred":false,"id":851200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Park, Linsey","contributorId":296296,"corporation":false,"usgs":false,"family":"Park","given":"Linsey","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851201,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiaranunt, Peerapol","contributorId":264272,"corporation":false,"usgs":false,"family":"Chiaranunt","given":"Peerapol","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851202,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strickland, Raquele","contributorId":296298,"corporation":false,"usgs":false,"family":"Strickland","given":"Raquele","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851203,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velazquez, Fernando","contributorId":264276,"corporation":false,"usgs":false,"family":"Velazquez","given":"Fernando","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851204,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lindert, Sean","contributorId":296300,"corporation":false,"usgs":false,"family":"Lindert","given":"Sean","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851205,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851206,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vines, Philip L.","contributorId":296302,"corporation":false,"usgs":false,"family":"Vines","given":"Philip","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851207,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Crane, Sharron","contributorId":264278,"corporation":false,"usgs":false,"family":"Crane","given":"Sharron","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":851226,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Irizarry, Ivelisse","contributorId":178392,"corporation":false,"usgs":false,"family":"Irizarry","given":"Ivelisse","email":"","affiliations":[],"preferred":false,"id":851208,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":851209,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Johnston-Monje, David","contributorId":296304,"corporation":false,"usgs":false,"family":"Johnston-Monje","given":"David","email":"","affiliations":[{"id":61530,"text":"Universidad del Valle","active":true,"usgs":false}],"preferred":false,"id":851210,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":851211,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70236870,"text":"70236870 - 2022 - Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains","interactions":[],"lastModifiedDate":"2022-09-21T13:55:01.164776","indexId":"70236870","displayToPublicDate":"2022-06-07T08:49:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains","docAbstract":"Silviculture can be a powerful tool for restoring and enhancing habitat for forest-dependent wildlife. In eastern North America, regenerating timber harvests support abundant wildflowers that provide essential forage for native pollinators. Factors driving floral resource availability within regenerating forests remain almost entirely unstudied. Recent efforts to increase the area of regenerating forests (<10 years old) through overstory removal harvest in the central Appalachian Mountains provide an opportunity to investigate the development of forest wildflower communities following canopy removal. We conducted 1208 surveys of blooming plants across 143 harvests, recording 1 525 245 flowers representing 220 taxa spanning 47 families. The number of flowers within recently harvested stands was negatively associated with fern and sapling cover but positively associated with grass and bramble (Rubus spp.) cover. Early in the growing season, more flowers bloomed in older regenerating stands (e.g., >5 years old), but this pattern reversed by the end of the growing season. Ultimately, our study demonstrates that the abundance of flowers available to pollinators within regenerating hardwood stands varies with factors associated with advancing succession. Recognizing the potential trade-off between woody regeneration (i.e., saplings) and pollinator forage availability may benefit forest managers who intend to provide floral resources to flower-dependent wildlife like pollinators via silviculture.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfr-2022-0014","usgsCitation":"Mathis, C.L., McNeil, D.J., Lee, M.R., Grozinger, C.M., Otto, C., and Larkin, J.L., 2022, Can’t see the flowers for the trees: Factors driving floral abundance within early-successional forests in the central Appalachian Mountains: Canadian Journal of Forest Research, v. 52, no. 7, p. 1002-1013, https://doi.org/10.1139/cjfr-2022-0014.","productDescription":"12 p.","startPage":"1002","endPage":"1013","ipdsId":"IP-137022","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":407133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"central Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.62890625,\n 39.740986355883564\n ],\n [\n -76.8218994140625,\n 39.740986355883564\n ],\n [\n -74.77294921875,\n 41.1290213474951\n ],\n [\n -76.17919921875,\n 41.83682786072714\n ],\n [\n -79.62890625,\n 39.740986355883564\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mathis, Codey L.","contributorId":264822,"corporation":false,"usgs":false,"family":"Mathis","given":"Codey","email":"","middleInitial":"L.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":852427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeil, Daren J. Jr.","contributorId":264823,"corporation":false,"usgs":false,"family":"McNeil","given":"Daren","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":54566,"text":"Penn State Un","active":true,"usgs":false}],"preferred":false,"id":852428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Monica R.","contributorId":264824,"corporation":false,"usgs":false,"family":"Lee","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":54565,"text":"Indiana Un of Penns","active":true,"usgs":false}],"preferred":false,"id":852429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":852430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":852431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":264972,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","email":"","middleInitial":"L.","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":852624,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232334,"text":"70232334 - 2022 - The Pliocene-to-present course of the Tennessee River","interactions":[],"lastModifiedDate":"2022-11-16T16:55:58.712626","indexId":"70232334","displayToPublicDate":"2022-06-07T07:24:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Pliocene-to-present course of the Tennessee River","docAbstract":"The Tennessee River, a primary drainage of the southern Appalachians and significant sediment source for the Gulf of Mexico, is generally considered to be the product of captures that rerouted the river from a more direct gulfward course. Sedimentary and genetic evidence indicates that a paleo-Tennessee flowed into the Mobile Basin through the late Miocene, although alternate models propose other redirections of the river. We constrain the river course’s age by dating terraces near Pickwick, Tennessee, with cosmogenic 26Al/10Be isochron burial dating. We find that the river’s present path dates to at least the early Pliocene.