{"pageNumber":"132","pageRowStart":"3275","pageSize":"25","recordCount":40783,"records":[{"id":70242934,"text":"70242934 - 2023 - Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees","interactions":[],"lastModifiedDate":"2023-04-24T12:07:47.445858","indexId":"70242934","displayToPublicDate":"2023-03-09T07:04:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14255,"text":"Environmental Software and Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees","docAbstract":"

Anthropogenic hydrologic alteration threatens the health of riverine ecosystems. Machine learning algorithms that employ the use of model trees to predict hydrologic alteration are underrepresented in related literature. This study assesses hydrologic alteration in the Pearl and Pascagoula River basins using modeled daily streamflow. Hydrologic alteration was determined by hypothesis testing and the computation of the net change across 60 years. Cubist models were developed for both basins to predict hydrologic alteration and to identify important basin characteristics. Results from net change and the hypothesis test indicated the basins were essentially identical with respect to the amount of hydrologic alteration. Cubist models for the basins successfully made accurate predictions of hydrologic alteration and demonstrated that the importance of basin geomorphology and land cover on alteration differed in both basins. The results of the study demonstrate the feasibility of model trees in assessing hydrologic alteration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2023.105667","usgsCitation":"Roland, V.L., Crowley-Ornelas, E., and Rodgers, K., 2023, Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees: Environmental Software and Modelling, v. 163, 105667, 10 p., https://doi.org/10.1016/j.envsoft.2023.105667.","productDescription":"105667, 10 p.","ipdsId":"IP-116276","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":444260,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2023.105667","text":"Publisher Index Page"},{"id":435420,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PUMMTV","text":"USGS data release","linkHelpText":"Supporting data and model outputs for hydrologic alteration modeling in the Pearl and Pascagoula river basins"},{"id":416172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Pascagoula River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.80875982614708,\n 32.61000614560781\n ],\n [\n -89.80875982614708,\n 30.154023040111667\n ],\n [\n -88.27367909529212,\n 30.154023040111667\n ],\n [\n -88.27367909529212,\n 32.61000614560781\n ],\n [\n -89.80875982614708,\n 32.61000614560781\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"163","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roland, Victor L. II 0000-0002-6260-9351 vroland@usgs.gov","orcid":"https://orcid.org/0000-0002-6260-9351","contributorId":212248,"corporation":false,"usgs":true,"family":"Roland","given":"Victor","suffix":"II","email":"vroland@usgs.gov","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley-Ornelas, Elena 0000-0002-1823-8485","orcid":"https://orcid.org/0000-0002-1823-8485","contributorId":211970,"corporation":false,"usgs":true,"family":"Crowley-Ornelas","given":"Elena","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodgers, Kirk D. 0000-0003-4322-2781","orcid":"https://orcid.org/0000-0003-4322-2781","contributorId":203438,"corporation":false,"usgs":true,"family":"Rodgers","given":"Kirk D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248798,"text":"70248798 - 2023 - Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh","interactions":[],"lastModifiedDate":"2023-09-21T11:44:36.867114","indexId":"70248798","displayToPublicDate":"2023-03-09T06:39:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh","docAbstract":"

Tidal marshes sequester 11.4–87.0 Tg C yr−1 globally, but climate change impacts can threaten the carbon capture potential of these ecosystems. Tidal marshes occur across a wide range of salinity, with brackish marshes (0.5–18 ppt (parts per thousand)) dominating global tidal marsh extents. A diverse mix of freshwater- and saltwater-tolerant plant and microbial communities has led researchers to predict that carbon cycling in brackish wetlands may be less sensitive to changes in salinity than fresh- or saltwater wetlands. Rush Ranch, a well-monitored brackish tidal wetland of the San Francisco Bay National Estuarine Research Reserve, experiences highly variable annual salinity regimes. Within a five-year period (2014–2018), Rush Ranch experienced particularly extreme drought-induced salinization during the 2014 and 2015 growing seasons. During drought years, tidal channel salinity rose from a 15 year baseline of 4.7 ppt to growing season peaks of 10.3 ppt and 12.5 ppt. Continuous eddy covariance data from 2014 to 2018 demonstrate that during drought summers, gross primary productivity (GPP) decreased by 24%, whereas ecosystem respiration remained similar among all five years. Stepwise linear regression revealed that salinity, not air temperature or tidal height, was the dominant driver of annual GPP. A random forest model trained to predict GPP based on environmental data from low salinity years (i.e. naive to salinization) significantly over predicted GPP in drought years. When growing season salinities were doubled, annual estimates of net ecosystem exchange of CO2 decreased by up to 30%. These results provide ecosystem-scale evidence that increased salinity influences CO2 fluxes dominantly through reductions in GPP. This relationship provides a starting point for incorporating the effect of changes in salinity in wetland carbon models, which could improve wetland carbon forecasting and management for climate resilience.

","language":"English","publisher":"IOP","doi":"10.1088/1748-9326/acbbdf","usgsCitation":"Russell, S., Windham-Myers, L., Goodrich-Stuart, E.J., Bergamaschi, B.A., Anderson, F., Oikawa, P., and Knox, S., 2023, Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh: Environmental Research Letters, v. 18, 034045, 10 p., https://doi.org/10.1088/1748-9326/acbbdf.","productDescription":"034045, 10 p.","ipdsId":"IP-149986","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbbdf","text":"Publisher Index Page"},{"id":421014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.00689343442716,\n 38.44599977790884\n ],\n [\n -123.00689343442716,\n 37.24062853477555\n ],\n [\n -121.20590833961992,\n 37.24062853477555\n ],\n [\n -121.20590833961992,\n 38.44599977790884\n ],\n [\n -123.00689343442716,\n 38.44599977790884\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Sarah","contributorId":329961,"corporation":false,"usgs":false,"family":"Russell","given":"Sarah","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":883703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":883704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodrich-Stuart, Ellen J 0000-0001-9901-7643","orcid":"https://orcid.org/0000-0001-9901-7643","contributorId":272612,"corporation":false,"usgs":true,"family":"Goodrich-Stuart","given":"Ellen","email":"","middleInitial":"J","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Frank","contributorId":329963,"corporation":false,"usgs":false,"family":"Anderson","given":"Frank","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":883707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oikawa, Patty","contributorId":329964,"corporation":false,"usgs":false,"family":"Oikawa","given":"Patty","affiliations":[{"id":64648,"text":"California State University, East Bay","active":true,"usgs":false}],"preferred":false,"id":883708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knox, Sara","contributorId":329966,"corporation":false,"usgs":false,"family":"Knox","given":"Sara","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":883709,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240929,"text":"sir20235002 - 2023 - Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","interactions":[],"lastModifiedDate":"2026-02-24T18:09:00.975169","indexId":"sir20235002","displayToPublicDate":"2023-03-07T14:25:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5002","displayTitle":"Hydrologic Effects of Possible Changes in Water-Supply Withdrawals from, and Effluent Recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","title":"Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","docAbstract":"

Winslow Township and the Camden County Municipal Utility Authority (CCMUA) developed a plan to shut down the Winslow sewage-treatment facility and associated effluent infiltration facility and transfer the effluent to the CCMUA sewage-treatment facility on the Delaware River in Camden, New Jersey. Winslow Township reduced groundwater withdrawals from the Kirkwood-Cohansey aquifer system to offset groundwater recharge lost with the cessation of effluent infiltration. The U.S. Geological Survey, in cooperation with Winslow Township and the CCMUA, collected data to evaluate conditions prior to cessation of effluent infiltration and installed two continuous-record streamflow-gaging stations. Streamflow measurements also were made at two low-flow partial-record sites, and groundwater levels were measured in 17 wells at high and low water-level periods (May and September 2010). A groundwater-flow model provides estimated changes in base flow of the Great Egg Harbor River under several groundwater-withdrawal and effluent infiltration scenarios.

Water levels were measured in an observation well 480 feet (ft) from the infiltration lagoons during 1971–2010. A downward trend in water levels in the well prior to 1985 is attributed in part to increased impervious surfaces and groundwater withdrawals associated with development in the area that began in the early 1970s. From late 1985 to 2010, there was an upward trend in water levels in the well that is attributed to the construction of nearby effluent infiltration lagoons in 1985 and the increasing rate of effluent infiltration during the period. Recent and historical measurements made at the four surface-water sites were correlated with same-day discharges measured at three nearby index stations to estimate continuous low-flow record at the sites. Effects on base flow caused by reductions in groundwater withdrawals or the cessation of effluent infiltration in Winslow Township could not be ascertained from the available data with the statistical and analysis methods used.

Groundwater discharge to streams (base flow) was simulated with a groundwater-flow model of the Great Egg Harbor and Mullica River Basins. Simulated monthly base flows using 2008–10 withdrawal rates and effluent recharge (Scenario 1) are generally about 1.5 million gallons per day (Mgal/d) greater than simulated base flows using 2003–07 withdrawal rates (Baseline Scenario) because of the 1.57 Mgal/d reduction in average withdrawals by Winslow Township from the Kirkwood-Cohansey aquifer system from 2003–07 to 2008–10. Simulated monthly base flows using 2008–10 withdrawals but without effluent infiltration (Scenario 2) are very similar to, but typically slightly lower than, Baseline Scenario base flows.

Three hypothetical future distributions of groundwater withdrawals from existing Winslow Township wells are simulated, each without effluent infiltration and using the same groundwater withdrawal rate as Scenario 2, but with different hypothetical distributions of withdrawals among existing Winslow Township wells. The Scenario 3 and 4 base flows are greater than the Baseline Scenario base flows in all months, and the Scenario 5 base flows are less than the Baseline Scenario base flows in all months. The simulation results indicate that a reduction in average withdrawals from the Kirkwood-Cohansey aquifer system by 1.57 Mgal/d offsets the reduction of effluent infiltration by about the same rate, resulting in nearly unchanged base flows in the Great Egg Harbor River near Blue Anchor (01410820).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235002","collaboration":"Prepared in cooperation with the Township of Winslow and the Camden County Municipal Utilities Authority","usgsCitation":"Carleton, G.B., and Pope, D.A., 2023, Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2023–5002, 16 p., https://doi.org/10.3133/sir20235002.","productDescription":"Report: vii, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057410","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":413542,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154G0Z","text":"USGS data release","linkHelpText":"MODFLOW-2000 model used to evaluate the effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey"},{"id":500487,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114441.htm","linkFileType":{"id":5,"text":"html"}},{"id":413541,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5002/images/"},{"id":413538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5002"},{"id":413537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5002/coverthb.jpg"},{"id":413539,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5002"},{"id":413540,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.XML"}],"country":"United States","state":"New Jersey","county":"Camden County","otherGeospatial":"Winslow Township","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75,\n 39.833\n ],\n [\n -75,\n 39.5833\n ],\n [\n -74.833,\n 39.5833\n ],\n [\n -74.833,\n 39.833\n ],\n [\n -75,\n 39.833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ, 08648

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":208415,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen B.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Daryll A. 0000-0002-6777-8285 dpope@usgs.gov","orcid":"https://orcid.org/0000-0002-6777-8285","contributorId":208416,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865338,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241204,"text":"70241204 - 2023 - Linking seed size and number to trait syndromes in trees","interactions":[],"lastModifiedDate":"2023-04-12T14:29:50.050589","indexId":"70241204","displayToPublicDate":"2023-03-07T06:40:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Linking seed size and number to trait syndromes in trees","docAbstract":"

Aim

Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off.

Location

Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia.

Time period

1960–2022.

Major taxa studied

Trees.

Methods

We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum.

Results

Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions.

Main conclusions

Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connection of SSP with the functional traits can form the first basis of improved fecundity prediction across global forests.

","language":"English","publisher":"Wiley","doi":"10.1111/geb.13652","usgsCitation":"Bogdziewicz, M., Acuña, M., Andrus, R.A., Ascoli, D., Bergeron, Y., Brveiller, D., Boivin, T., Bonal, R., Caignard, T., Cailleret, M., Calama, R., Calderon, S.D., Camarero, J., Chang-Yang, C., Chave, J., Chianucci, F., Cleavitt, N.L., Courbaud, B., Cutini, A., Curt, T., Das, A., Davi, H., Delpiere, N., Delzon, S., Dietze, M., Dormont, L., Farfan-Rios, W., Gehring, C.A., Gilbert, G.S., Gratzer, G., Greenberg, C.H., Guignabert, A., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Journe, V., Kitzberger, T., Knops, J., Kunstler, G., Kobe, R., Lageard, J.G., LaMontagne, J., Ledwon, M., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., Marell, A., McIntire, E.J., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Naoe, S., Noguchi, K., Oguro, M., Kurokawa, H., Ourcival, J., Parmenter, R., Perez-Ramos, I., Piechnik, L., Podgorski, T., Poulsen, J., Qiu, T., Redmond, M.D., Reid, C., Rodman, K., Šamonil, P., Holik, J., Scher, C.L., Van Marle, H.S., Seget, B., Shibata, M., Sharma, S., Silman, M., Steele, M.A., Straub, J.N., Sun, I., Sutton, S., Swenson, J., Thomas, P., Uriarte, M., Vacchiano, G., Veblen, T.T., Wright, B., Wright, S.J., Whitham, T.G., Zhu, K., Zimmerman, J.K., Zywiec, M., and Clark, J.S., 2023, Linking seed size and number to trait syndromes in trees: Global Ecology and Biogeography, v. 32, no. 5, p. 683-694, https://doi.org/10.1111/geb.13652.","productDescription":"12 p.","startPage":"683","endPage":"694","ipdsId":"IP-149887","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444282,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.inrae.fr/hal-04032674","text":"External Repository"},{"id":414212,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Bogdziewicz, Michal","contributorId":256849,"corporation":false,"usgs":false,"family":"Bogdziewicz","given":"Michal","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":866434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acuña, Marie-Claire Aravena","contributorId":303057,"corporation":false,"usgs":false,"family":"Acuña","given":"Marie-Claire Aravena","affiliations":[{"id":65630,"text":"Laboratorio de Recursos Agroforestales, Centro Austral de Investigaciones Científicas, Argentina.","active":true,"usgs":false}],"preferred":false,"id":866435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrus, Robert A.","contributorId":229021,"corporation":false,"usgs":false,"family":"Andrus","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":41541,"text":"Department of Geography, University of Colorado Boulder, Guggenheim 110, 260 UCB, Boulder, Colorado, 80309-0260, USA","active":true,"usgs":false}],"preferred":false,"id":866436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":866437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergeron, Yves","contributorId":256848,"corporation":false,"usgs":false,"family":"Bergeron","given":"Yves","email":"","affiliations":[{"id":40150,"text":"Adam Mickiewicz University, Poland","active":true,"usgs":false}],"preferred":false,"id":866438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brveiller, Daniel","contributorId":303058,"corporation":false,"usgs":false,"family":"Brveiller","given":"Daniel","email":"","affiliations":[{"id":65631,"text":"CNRS, Université Paris-Saclay, AgroParisTech, France","active":true,"usgs":false}],"preferred":false,"id":866439,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boivin, Thomas","contributorId":268820,"corporation":false,"usgs":false,"family":"Boivin","given":"Thomas","email":"","affiliations":[{"id":55680,"text":"INRAE, France","active":true,"usgs":false}],"preferred":false,"id":866440,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bonal, Raul","contributorId":268821,"corporation":false,"usgs":false,"family":"Bonal","given":"Raul","email":"","affiliations":[{"id":55681,"text":"University of Madrid","active":true,"usgs":false}],"preferred":false,"id":866441,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caignard, Thomas","contributorId":268822,"corporation":false,"usgs":false,"family":"Caignard","given":"Thomas","email":"","affiliations":[{"id":55680,"text":"INRAE, France","active":true,"usgs":false}],"preferred":false,"id":866442,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cailleret, Maxime 0000-0001-6561-1943","orcid":"https://orcid.org/0000-0001-6561-1943","contributorId":181952,"corporation":false,"usgs":false,"family":"Cailleret","given":"Maxime","email":"","affiliations":[],"preferred":false,"id":866443,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Calama, Rafael","contributorId":268823,"corporation":false,"usgs":false,"family":"Calama","given":"Rafael","email":"","affiliations":[{"id":55682,"text":"INIA-CIFOR, Spain","active":true,"usgs":false}],"preferred":false,"id":866444,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Calderon, Sergio Donoso","contributorId":303059,"corporation":false,"usgs":false,"family":"Calderon","given":"Sergio","email":"","middleInitial":"Donoso","affiliations":[{"id":65632,"text":"Universidad de Chile, Chile","active":true,"usgs":false}],"preferred":false,"id":866445,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Camarero, J. Julio","contributorId":303060,"corporation":false,"usgs":false,"family":"Camarero","given":"J. Julio","affiliations":[{"id":65633,"text":"Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Spain","active":true,"usgs":false}],"preferred":false,"id":866446,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chang-Yang, Chia-Hao","contributorId":303061,"corporation":false,"usgs":false,"family":"Chang-Yang","given":"Chia-Hao","email":"","affiliations":[{"id":65634,"text":"National Sun Yat-sen University, Kaohsiung, Taiwan","active":true,"usgs":false}],"preferred":false,"id":866447,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Chave, Jerome","contributorId":303062,"corporation":false,"usgs":false,"family":"Chave","given":"Jerome","email":"","affiliations":[{"id":65635,"text":"Laboratoire Évolution et Diversité Biologique, UMR 5174 (CNRS/IRD/UPS), CNRS, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":866448,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Chianucci, Francesco","contributorId":302444,"corporation":false,"usgs":false,"family":"Chianucci","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":866449,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cleavitt, Natalie L.","contributorId":303063,"corporation":false,"usgs":false,"family":"Cleavitt","given":"Natalie","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":866450,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Courbaud, Benoit","contributorId":256858,"corporation":false,"usgs":false,"family":"Courbaud","given":"Benoit","email":"","affiliations":[{"id":39773,"text":"Univ. Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":866451,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Cutini, Andrea","contributorId":302447,"corporation":false,"usgs":false,"family":"Cutini","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":866452,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Curt, Thomas","contributorId":303064,"corporation":false,"usgs":false,"family":"Curt","given":"Thomas","email":"","affiliations":[{"id":65637,"text":"Aix Marseille universite, Institut National de Recherche pour Agriculture, Alimentation et Environnement (IN- RAE), Aix-en-Provence, France","active":true,"usgs":false}],"preferred":false,"id":866453,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866454,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Davi, Hendrik","contributorId":181968,"corporation":false,"usgs":false,"family":"Davi","given":"Hendrik","email":"","affiliations":[],"preferred":false,"id":866455,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Delpiere, Nicolas","contributorId":303065,"corporation":false,"usgs":false,"family":"Delpiere","given":"Nicolas","email":"","affiliations":[{"id":65639,"text":"Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique et Evolution, 91190, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":866456,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Delzon, Sylvain","contributorId":181969,"corporation":false,"usgs":false,"family":"Delzon","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":866457,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Dietze, Michael","contributorId":248349,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","affiliations":[],"preferred":false,"id":866458,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Dormont, Laurent","contributorId":303066,"corporation":false,"usgs":false,"family":"Dormont","given":"Laurent","email":"","affiliations":[{"id":65640,"text":"Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS), Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":866459,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Farfan-Rios, William","contributorId":268827,"corporation":false,"usgs":false,"family":"Farfan-Rios","given":"William","email":"","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":866460,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Gehring, Catherine A.","contributorId":189076,"corporation":false,"usgs":false,"family":"Gehring","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866461,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Gilbert, Gregory S.","contributorId":220542,"corporation":false,"usgs":false,"family":"Gilbert","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":866462,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Gratzer, Georg","contributorId":302453,"corporation":false,"usgs":false,"family":"Gratzer","given":"Georg","email":"","affiliations":[],"preferred":false,"id":866463,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Greenberg, Cathryn H.","contributorId":268828,"corporation":false,"usgs":false,"family":"Greenberg","given":"Cathryn","email":"","middleInitial":"H.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866464,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Guignabert, Arthur","contributorId":303067,"corporation":false,"usgs":false,"family":"Guignabert","given":"Arthur","email":"","affiliations":[{"id":65641,"text":"INRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, Villenave d’Ornon, France","active":true,"usgs":false}],"preferred":false,"id":866465,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Guo, Qinfeng","contributorId":214263,"corporation":false,"usgs":false,"family":"Guo","given":"Qinfeng","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":866466,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":866467,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Hampe, Arndt","contributorId":303068,"corporation":false,"usgs":false,"family":"Hampe","given":"Arndt","email":"","affiliations":[{"id":65642,"text":"INRAE, Biodiversity, Genes, and Communities (BIOGECO), Pessac, France","active":true,"usgs":false}],"preferred":false,"id":866468,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Han, Qingmin","contributorId":303069,"corporation":false,"usgs":false,"family":"Han","given":"Qingmin","email":"","affiliations":[{"id":65643,"text":"Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan","active":true,"usgs":false}],"preferred":false,"id":866469,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Hoshizaki, Kazuhiko","contributorId":303070,"corporation":false,"usgs":false,"family":"Hoshizaki","given":"Kazuhiko","email":"","affiliations":[{"id":65644,"text":"Akita Prefectural University, Akita, Japan","active":true,"usgs":false}],"preferred":false,"id":866470,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Ibanez, Ines","contributorId":236833,"corporation":false,"usgs":false,"family":"Ibanez","given":"Ines","affiliations":[],"preferred":false,"id":866471,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Johnstone, Jill F.","contributorId":179336,"corporation":false,"usgs":false,"family":"Johnstone","given":"Jill","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":866472,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Journe, Valentin","contributorId":303071,"corporation":false,"usgs":false,"family":"Journe","given":"Valentin","email":"","affiliations":[{"id":65645,"text":"Universite Grenoble Alpes, France","active":true,"usgs":false}],"preferred":false,"id":866473,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":866474,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Knops, Johannes M.H.","contributorId":293505,"corporation":false,"usgs":false,"family":"Knops","given":"Johannes M.H.","affiliations":[{"id":63320,"text":"Xi’an Jiaotong Liverpool University","active":true,"usgs":false}],"preferred":false,"id":866475,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Kunstler, Georges","contributorId":198539,"corporation":false,"usgs":false,"family":"Kunstler","given":"Georges","email":"","affiliations":[],"preferred":false,"id":866476,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Kobe, Richard","contributorId":268832,"corporation":false,"usgs":false,"family":"Kobe","given":"Richard","affiliations":[{"id":41642,"text":"Michigan State U","active":true,"usgs":false}],"preferred":false,"id":866477,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Lageard, Jonathan G. A.","contributorId":303072,"corporation":false,"usgs":false,"family":"Lageard","given":"Jonathan","email":"","middleInitial":"G. A.","affiliations":[{"id":65646,"text":"Manchester Metropolitan University, Manchester, UK","active":true,"usgs":false}],"preferred":false,"id":866478,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"LaMontagne, Jalene M.","contributorId":224291,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":866479,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Ledwon, Mateusz","contributorId":268834,"corporation":false,"usgs":false,"family":"Ledwon","given":"Mateusz","email":"","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":866480,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Leininger, Theodor","contributorId":303073,"corporation":false,"usgs":false,"family":"Leininger","given":"Theodor","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":866481,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Limousin, Jean-Marc","contributorId":199453,"corporation":false,"usgs":false,"family":"Limousin","given":"Jean-Marc","email":"","affiliations":[],"preferred":false,"id":866482,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":866483,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Macias, Diana","contributorId":256880,"corporation":false,"usgs":false,"family":"Macias","given":"Diana","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":866484,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Marell, Anders","contributorId":303074,"corporation":false,"usgs":false,"family":"Marell","given":"Anders","affiliations":[{"id":65647,"text":"INRAE, UR EFNO, F-45290 Nogent-sur-Vernisson, France","active":true,"usgs":false}],"preferred":false,"id":866485,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"McIntire, Eliot J.B.","contributorId":303075,"corporation":false,"usgs":false,"family":"McIntire","given":"Eliot","email":"","middleInitial":"J.B.","affiliations":[{"id":65648,"text":"Pacific Forestry Centre, Victoria, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":866486,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Moran, Emily V.","contributorId":216568,"corporation":false,"usgs":false,"family":"Moran","given":"Emily","email":"","middleInitial":"V.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":866487,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Motta, Renzo","contributorId":224294,"corporation":false,"usgs":false,"family":"Motta","given":"Renzo","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":866488,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Myers, Jonathan A.","contributorId":197852,"corporation":false,"usgs":false,"family":"Myers","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866489,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Nagel, Thomas A.","contributorId":268835,"corporation":false,"usgs":false,"family":"Nagel","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":40950,"text":"University of Ljubljana","active":true,"usgs":false}],"preferred":false,"id":866490,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Naoe, Shoji","contributorId":303076,"corporation":false,"usgs":false,"family":"Naoe","given":"Shoji","email":"","affiliations":[{"id":65649,"text":"Tohoku Research Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, Japan","active":true,"usgs":false}],"preferred":false,"id":866491,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Noguchi, Kyotaro","contributorId":268836,"corporation":false,"usgs":false,"family":"Noguchi","given":"Kyotaro","email":"","affiliations":[{"id":55689,"text":"Forestry and Forest Products Research Institute, Japan","active":true,"usgs":false}],"preferred":false,"id":866492,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Oguro, Michio","contributorId":303077,"corporation":false,"usgs":false,"family":"Oguro","given":"Michio","email":"","affiliations":[{"id":65650,"text":"Tohoku Research Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan","active":true,"usgs":false}],"preferred":false,"id":866493,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Kurokawa, Hiroko","contributorId":303078,"corporation":false,"usgs":false,"family":"Kurokawa","given":"Hiroko","email":"","affiliations":[{"id":65650,"text":"Tohoku Research Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan","active":true,"usgs":false}],"preferred":false,"id":866494,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Ourcival, Jean-Marc","contributorId":303079,"corporation":false,"usgs":false,"family":"Ourcival","given":"Jean-Marc","email":"","affiliations":[{"id":65651,"text":"CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":866495,"contributorType":{"id":1,"text":"Authors"},"rank":62},{"text":"Parmenter, Robert","contributorId":243994,"corporation":false,"usgs":false,"family":"Parmenter","given":"Robert","affiliations":[{"id":48788,"text":"Valles Caldera National Preserve, U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":866496,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Perez-Ramos, Ignacio M.","contributorId":303080,"corporation":false,"usgs":false,"family":"Perez-Ramos","given":"Ignacio M.","affiliations":[{"id":65652,"text":"Inst. de Recursos Naturales y Agrobiologia de Sevilla, Consejo Superior de Investigaciones Cientificas (IRNAS-CSIC), Seville, Andalucia, Spain","active":true,"usgs":false}],"preferred":false,"id":866497,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Piechnik, Lukasz","contributorId":268838,"corporation":false,"usgs":false,"family":"Piechnik","given":"Lukasz","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":866498,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Podgorski, Tomasz","contributorId":303081,"corporation":false,"usgs":false,"family":"Podgorski","given":"Tomasz","email":"","affiliations":[{"id":65653,"text":"Czech University of Life Sciences Prague, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":866499,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Poulsen, John","contributorId":303082,"corporation":false,"usgs":false,"family":"Poulsen","given":"John","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":866500,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Qiu, Tong","contributorId":268817,"corporation":false,"usgs":false,"family":"Qiu","given":"Tong","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":866501,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Redmond, Miranda D.","contributorId":303083,"corporation":false,"usgs":false,"family":"Redmond","given":"Miranda","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":866502,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Reid, Chantal D.","contributorId":268841,"corporation":false,"usgs":false,"family":"Reid","given":"Chantal D.","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":866503,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Rodman, Kyle C.","contributorId":238090,"corporation":false,"usgs":false,"family":"Rodman","given":"Kyle C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":866504,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Šamonil, Pavel","contributorId":289225,"corporation":false,"usgs":false,"family":"Šamonil","given":"Pavel","affiliations":[{"id":62072,"text":"The Silva Tarouca Research Institute for Landscape and Ornamental Gardening","active":true,"usgs":false}],"preferred":false,"id":866505,"contributorType":{"id":1,"text":"Authors"},"rank":72},{"text":"Holik, Jan","contributorId":303084,"corporation":false,"usgs":false,"family":"Holik","given":"Jan","affiliations":[{"id":65654,"text":"Silva Tarouca Research Institute, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":866506,"contributorType":{"id":1,"text":"Authors"},"rank":73},{"text":"Scher, C. Lane","contributorId":268843,"corporation":false,"usgs":false,"family":"Scher","given":"C.","email":"","middleInitial":"Lane","affiliations":[{"id":40036,"text":"Duke U.","active":true,"usgs":false}],"preferred":false,"id":866507,"contributorType":{"id":1,"text":"Authors"},"rank":74},{"text":"Van Marle, Harald Schmidt","contributorId":303085,"corporation":false,"usgs":false,"family":"Van Marle","given":"Harald","email":"","middleInitial":"Schmidt","affiliations":[{"id":49135,"text":"Universidad de Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":866508,"contributorType":{"id":1,"text":"Authors"},"rank":75},{"text":"Seget, Barbara","contributorId":268845,"corporation":false,"usgs":false,"family":"Seget","given":"Barbara","email":"","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":866509,"contributorType":{"id":1,"text":"Authors"},"rank":76},{"text":"Shibata, Mitsue","contributorId":303086,"corporation":false,"usgs":false,"family":"Shibata","given":"Mitsue","affiliations":[{"id":65650,"text":"Tohoku Research Center, Forestry and Forest Products Research Institute, Tsukuba, Ibaraki, 305-8687, Japan","active":true,"usgs":false}],"preferred":false,"id":866510,"contributorType":{"id":1,"text":"Authors"},"rank":77},{"text":"Sharma, Shubhi","contributorId":256893,"corporation":false,"usgs":false,"family":"Sharma","given":"Shubhi","email":"","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":866511,"contributorType":{"id":1,"text":"Authors"},"rank":78},{"text":"Silman, Miles","contributorId":268846,"corporation":false,"usgs":false,"family":"Silman","given":"Miles","email":"","affiliations":[{"id":36744,"text":"Wake Forest University","active":true,"usgs":false}],"preferred":false,"id":866512,"contributorType":{"id":1,"text":"Authors"},"rank":79},{"text":"Steele, Michael A.","contributorId":256894,"corporation":false,"usgs":false,"family":"Steele","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":51892,"text":"Department of Biology, Wilkes University, 84 West South Street, Wilkes-Barre, PA 18766","active":true,"usgs":false}],"preferred":false,"id":866513,"contributorType":{"id":1,"text":"Authors"},"rank":80},{"text":"Straub, Jacob N.","contributorId":130962,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob","email":"","middleInitial":"N.","affiliations":[{"id":7179,"text":"Ctr for Earth & Envir Sc, St Univ of NY-Plattsburgh, NY","active":true,"usgs":false}],"preferred":false,"id":866514,"contributorType":{"id":1,"text":"Authors"},"rank":81},{"text":"Sun, I-Fang","contributorId":197843,"corporation":false,"usgs":false,"family":"Sun","given":"I-Fang","email":"","affiliations":[],"preferred":false,"id":866515,"contributorType":{"id":1,"text":"Authors"},"rank":82},{"text":"Sutton, Samantha","contributorId":256895,"corporation":false,"usgs":false,"family":"Sutton","given":"Samantha","email":"","affiliations":[{"id":51889,"text":"Department of Geography, University of Colorado Boulder, Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":866516,"contributorType":{"id":1,"text":"Authors"},"rank":83},{"text":"Swenson, Jennifer J.","contributorId":268847,"corporation":false,"usgs":false,"family":"Swenson","given":"Jennifer J.","affiliations":[{"id":55678,"text":"Duke U","active":true,"usgs":false}],"preferred":false,"id":866517,"contributorType":{"id":1,"text":"Authors"},"rank":84},{"text":"Thomas, Peter A.","contributorId":302432,"corporation":false,"usgs":false,"family":"Thomas","given":"Peter A.","affiliations":[],"preferred":false,"id":866518,"contributorType":{"id":1,"text":"Authors"},"rank":85},{"text":"Uriarte, Maria","contributorId":287019,"corporation":false,"usgs":false,"family":"Uriarte","given":"Maria","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":866519,"contributorType":{"id":1,"text":"Authors"},"rank":86},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":866520,"contributorType":{"id":1,"text":"Authors"},"rank":87},{"text":"Veblen, Thomas T.","contributorId":218196,"corporation":false,"usgs":false,"family":"Veblen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":866521,"contributorType":{"id":1,"text":"Authors"},"rank":88},{"text":"Wright, Boyd","contributorId":303087,"corporation":false,"usgs":false,"family":"Wright","given":"Boyd","email":"","affiliations":[{"id":65655,"text":"University of New England, Armidale, New South Wales, Australia","active":true,"usgs":false}],"preferred":false,"id":866522,"contributorType":{"id":1,"text":"Authors"},"rank":89},{"text":"Wright, S. Joseph","contributorId":303088,"corporation":false,"usgs":false,"family":"Wright","given":"S.","email":"","middleInitial":"Joseph","affiliations":[{"id":65656,"text":"Smithsonian Tropical Research Institute, Republic of Panama","active":true,"usgs":false}],"preferred":false,"id":866523,"contributorType":{"id":1,"text":"Authors"},"rank":90},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":866524,"contributorType":{"id":1,"text":"Authors"},"rank":91},{"text":"Zhu, Kai","contributorId":256900,"corporation":false,"usgs":false,"family":"Zhu","given":"Kai","email":"","affiliations":[{"id":51894,"text":"University California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":866525,"contributorType":{"id":1,"text":"Authors"},"rank":92},{"text":"Zimmerman, Jess K.","contributorId":196419,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jess","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":866526,"contributorType":{"id":1,"text":"Authors"},"rank":93},{"text":"Zywiec, Magdalna","contributorId":303089,"corporation":false,"usgs":false,"family":"Zywiec","given":"Magdalna","affiliations":[{"id":65657,"text":"W. Szafer Institute of Botany, Polish Academy of Sciences, Krakow, Poland","active":true,"usgs":false}],"preferred":false,"id":866527,"contributorType":{"id":1,"text":"Authors"},"rank":94},{"text":"Clark, James S.","contributorId":248348,"corporation":false,"usgs":false,"family":"Clark","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":866528,"contributorType":{"id":1,"text":"Authors"},"rank":95}]}} ,{"id":70241001,"text":"ofr20231013 - 2023 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022","interactions":[],"lastModifiedDate":"2023-03-06T19:07:27.113555","indexId":"ofr20231013","displayToPublicDate":"2023-03-06T13:07:01","publicationYear":"2023","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":"2023-1013","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 3, 2022","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022","docAbstract":"

Executive Summary

The U.S. Geological Survey Earth Resources Observation and Science 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 3 (July–September) of 2022. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.

One specific activity that the ECCOE Landsat Cal/Val Team closely monitored was the lowering of the Landsat 7 orbit. On April 6, 2022, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor was placed into standby mode, and a series of spacecraft burns was completed through the month of April to lower the satellite’s orbit by 8 kilometers. Imaging resumed at a lower orbit of 697 kilometers on May 5, 2022, extending the science mission to allow for essential data acquisition during the 2022 Northern Hemisphere fire and growing season. Additional information about the Landsat 7 orbit lowering is here: https://www.usgs.gov/centers/eros/news/landsat-7-lowered-standard-landsat-orbit#:~:text=The%20satellite's%20primary%20science%20mission%20has%20ended&text=On%20April%206%2C%202022%2C%20the,satellite's%20orbit%20by%208%20kilometers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231013","usgsCitation":"Haque, M.O., Rengarajan, R., Lubke, M., Hasan, M.N., Shrestha, A., Tuli, F.T., Shaw, J.L., Denevan, A., Franks, S.,\nMicijevic, E., Choate, M.J., Anderson, C., Thome, K., Kaita, E., Barsi, J., Levy, R., and Miller, J., 2023, ECCOE Landsat\nquarterly Calibration and Validation report—Quarter 3, 2022: U.S. Geological Survey Open-File Report 2023–1013, 38 p., https://doi.org/10.3133/ofr20231013.","productDescription":"Report: vii, 38 p.; Dataset","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-146519","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":413661,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1013/images"},{"id":413659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1013/coverthb.jpg"},{"id":413663,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1013/ofr20231013.XML","text":"Report","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2022-1013"},{"id":413662,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":413660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1013/ofr20231013.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1013"}],"contact":"

Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-06","noUsgsAuthors":false,"publicationDate":"2023-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":865666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110 rrengarajan@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":192376,"corporation":false,"usgs":true,"family":"Rengarajan","given":"Rajagopalan","email":"rrengarajan@contractor.usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":865667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":865668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuz Zafrin Tuli, Fatima 0000-0002-5225-8797","orcid":"https://orcid.org/0000-0002-5225-8797","contributorId":270395,"corporation":false,"usgs":false,"family":"Tuz Zafrin Tuli","given":"Fatima","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Denevan, Alex 0000-0002-1215-3261","orcid":"https://orcid.org/0000-0002-1215-3261","contributorId":270398,"corporation":false,"usgs":false,"family":"Denevan","given":"Alex","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":865673,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Franks, Shannon 0000-0003-1335-5401","orcid":"https://orcid.org/0000-0003-1335-5401","contributorId":245457,"corporation":false,"usgs":false,"family":"Franks","given":"Shannon","email":"","affiliations":[{"id":49197,"text":"KBR, Contractor to NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":865674,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":865675,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":865676,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":865677,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thome, Kurt","contributorId":140792,"corporation":false,"usgs":false,"family":"Thome","given":"Kurt","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":865678,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kaita, Ed","contributorId":251782,"corporation":false,"usgs":false,"family":"Kaita","given":"Ed","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865679,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865680,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":865681,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":46400,"corporation":false,"usgs":true,"family":"Miller","given":"Jeff","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":865682,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70243327,"text":"70243327 - 2023 - Hydrologic modeling and river corridor applications of HY_Features concepts","interactions":[],"lastModifiedDate":"2023-05-09T13:35:13.643633","indexId":"70243327","displayToPublicDate":"2023-03-06T08:26:24","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":14271,"text":"OGC Public Engineering Report","active":true,"publicationSubtype":{"id":3}},"title":"Hydrologic modeling and river corridor applications of HY_Features concepts","docAbstract":"

The WaterML2: Part 3 - Surface Hydrology Features (HY_Features) Conceptual Model was published by OGC in 2018. This report documents the use of HY_Features concepts in support of two key tasks: (1) local to continental hydrologic modeling; and (2) referencing river corridor data to hydrographic networks. The presented use cases are applicable in hydroscience research and assessments, water resources engineering practices, and drought and flood responses.

Before the HY_Features conceptual model there was no internationally recognized standard for the design of software and data for the hydroscience and engineering community. This report presents progress towards a logical data model that interprets the abstract HY_Features concepts for use in geospatial workflows, modeling applications, and web data systems that integrate hydrologic data.

The use cases addressed include: (1) hydrologic model control volume definition; (2) hydrologic network connectivity; (3) characterization of catchments with landscape and atmospheric data; (4) river corridor characterization; (5) hydrologic location; and (6) flow network location. Each use case is described briefly along with an analysis of the information requirements. This report presents a summary of the logical model designed to satisfy the needs of these use cases and a summary of updates and changes proposed for HY_Features.

Changes for consideration by the HY_Features Standards Working Group include the following.

  1. Provide more clarity on the inherited properties and associations of features that \"realize\" the catchment and nexus concepts from HY_Features.

  2. Add nexus realization feature types to represent the outlet of catchments that are \"frontal\" (terminate to the ocean or a large waterbody) or \"inland sinks.\"

  3. Add a \"HY_Flowline\" feature as a superclass of HY_Flowpath providing linear referencing on waterbodies that are not catchment realizations.

  4. Add an association or interface to support connection between surface catchments and hydrogeologic units.

","language":"English","publisher":"Open Geospatial Consortium","usgsCitation":"Blodgett, D.L., Johnson, J., Bock, A.R., LeRoy, J.Z., and Wernimont, M.R., 2023, Hydrologic modeling and river corridor applications of HY_Features concepts: OGC Public Engineering Report, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-145176","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":416858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416834,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.opengis.net/doc/PER/Hydrofabric-er"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, J. Michael","contributorId":304963,"corporation":false,"usgs":false,"family":"Johnson","given":"J. Michael","affiliations":[{"id":66193,"text":"NOAA-NWS-OWP","active":true,"usgs":false}],"preferred":false,"id":872051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wernimont, Martin R 0000-0002-2127-8568 mwernimont@usgs.gov","orcid":"https://orcid.org/0000-0002-2127-8568","contributorId":5662,"corporation":false,"usgs":true,"family":"Wernimont","given":"Martin","email":"mwernimont@usgs.gov","middleInitial":"R","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":872054,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248364,"text":"70248364 - 2023 - Unrecorded tundra fires of the Arctic Slope, Alaska USA","interactions":[],"lastModifiedDate":"2023-09-08T12:15:14.635728","indexId":"70248364","displayToPublicDate":"2023-03-05T07:11:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Unrecorded tundra fires of the Arctic Slope, Alaska USA","docAbstract":"
Few fires are known to have burned the tundra of the Arctic Slope north of the Brooks Range in Alaska, USA. A total of 90 fires between 1969 and 2022 are known. Because fire has been rare, old burns can be detected by the traces of thermokarst and distinct vegetation they leave in otherwise uniform tundra, which are visible in aerial photograph archives. Several prehistoric tundra burns have been found in this way. Detection of tundra fires in this sparsely populated and remote area has been historically inconsistent and opportunistic, relying on reports by aircraft pilots. Fire reports have been logged into an administrative database which, out of necessity, has been used to scientifically evaluate changes in the fire regime. To improve the consistency of the record, we completed a systematic search of Landsat Collection 2 for the Brooks Range Foothills ecoregion over the period 1972–2022. We found 57 unrecorded tundra burns, about 41% of the total, which now numbers 138. Only 15% and 33% of all fires appear in MODIS and VIIRS satellite-borne thermal anomaly products, respectively. The fire frequency in the first 37 years of the record is 0.89 y−1 for natural ignitions that spread ≥10 ha. Frequency in the last 13 years is 2.5 y−1, indicating a nearly three-fold increase in fire frequency.

","language":"English","publisher":"MDPI","doi":"10.3390/fire6030101","usgsCitation":"Miller, E.A., Jones, B., Baughman, C., Jandt, R.R., Jenkins, J.L., and Yokel, D.A., 2023, Unrecorded tundra fires of the Arctic Slope, Alaska USA: Fire, v. 6, no. 3, 101, 15 p., https://doi.org/10.3390/fire6030101.","productDescription":"101, 15 p.","ipdsId":"IP-149180","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":444291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire6030101","text":"Publisher Index Page"},{"id":420656,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160.4484880553961,\n 71.7899258131992\n ],\n [\n -160.4484880553961,\n 69.97876537974165\n ],\n [\n -153.1566947447127,\n 69.97876537974165\n ],\n [\n -153.1566947447127,\n 71.7899258131992\n ],\n [\n -160.4484880553961,\n 71.7899258131992\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Eric A.","contributorId":329603,"corporation":false,"usgs":false,"family":"Miller","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":208625,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin M.","affiliations":[{"id":37848,"text":"Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":true,"id":882695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":882696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jandt, Randi R.","contributorId":329604,"corporation":false,"usgs":false,"family":"Jandt","given":"Randi","email":"","middleInitial":"R.","affiliations":[{"id":78672,"text":"University of Alaska Fairbanks - Alaska Fire Science Consortium","active":true,"usgs":false}],"preferred":false,"id":882697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Jennifer L.","contributorId":329605,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yokel, David A.","contributorId":329606,"corporation":false,"usgs":false,"family":"Yokel","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":78673,"text":"Bureau of Land Management Arctic District Office","active":true,"usgs":false}],"preferred":false,"id":882699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70243080,"text":"70243080 - 2023 - Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years","interactions":[],"lastModifiedDate":"2023-04-28T11:54:59.866731","indexId":"70243080","displayToPublicDate":"2023-03-04T06:52:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years","docAbstract":"

A common goal among fisheries science professionals, stakeholders, and rights holders is to ensure the persistence and resilience of vibrant fish populations and sustainable, equitable fisheries in diverse aquatic ecosystems, from small headwater streams to offshore pelagic waters. Achieving this goal requires a complex intersection of science and management, and a recognition of the interconnections among people, place, and fish that govern these tightly coupled socioecological and sociotechnical systems. The World Fisheries Congress (WFC) convenes every four years and provides a unique global forum to debate and discuss threats, issues, and opportunities facing fish populations and fisheries. The 2021 WFC meeting, hosted remotely in Adelaide, Australia, marked the 30th year since the first meeting was held in Athens, Greece, and provided an opportunity to reflect on progress made in the past 30 years and provide guidance for the future. We assembled a diverse team of individuals involved with the Adelaide WFC and reflected on the major challenges that faced fish and fisheries over the past 30 years, discussed progress toward overcoming those challenges, and then used themes that emerged during the Congress to identify issues and opportunities to improve sustainability in the world's fisheries for the next 30 years. Key future needs and opportunities identified include: rethinking fisheries management systems and modelling approaches, modernizing and integrating assessment and information systems, being responsive and flexible in addressing persistent and emerging threats to fish and fisheries, mainstreaming the human dimension of fisheries, rethinking governance, policy and compliance, and achieving equity and inclusion in fisheries. We also identified a number of cross-cutting themes including better understanding the role of fish as nutrition in a hungry world, adapting to climate change, embracing transdisciplinarity, respecting Indigenous knowledge systems, thinking ahead with foresight science, and working together across scales. By reflecting on the past and thinking about the future, we aim to provide guidance for achieving our mutual goal of sustaining vibrant fish populations and sustainable fisheries that benefit all. We hope that this prospective thinking can serve as a guide to (i) assess progress towards achieving this lofty goal and (ii) refine our path with input from new and emerging voices and approaches in fisheries science, management, and stewardship.

","language":"English","publisher":"Springer","doi":"10.1007/s11160-023-09765-8","usgsCitation":"Cooke, S., Fulton, E.A., Sauer, W.H., Lynch, A., Link, J.S., Koning, A., Jena, J., Silva, L., King, A.J., Kelly, R., Osborne, M., Nakamura, J., Preece, A.L., Hagiwara, A., Forsberg, K., Kellner, J.B., Coscia, I., Helyar, S., Barange, M., Nyboer, E.A., Williams, M.J., Chuenpagdee, R., Begg, G.A., and Gillanders, B.M., 2023, Towards vibrant fish populations and sustainable fisheries that benefit all: Learning from the last 30 years to inform the next 30 years: Reviews in Fish Biology and Fisheries, v. 33, p. 317-347, https://doi.org/10.1007/s11160-023-09765-8.","productDescription":"31 p.","startPage":"317","endPage":"347","ipdsId":"IP-137494","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-023-09765-8","text":"Publisher Index Page"},{"id":416488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2023-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":870942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, Elizabeth A.","contributorId":271278,"corporation":false,"usgs":false,"family":"Fulton","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":870943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, Warwick H. H.","contributorId":221039,"corporation":false,"usgs":false,"family":"Sauer","given":"Warwick","email":"","middleInitial":"H. H.","affiliations":[],"preferred":false,"id":870944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":870945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Jason S.","contributorId":304558,"corporation":false,"usgs":false,"family":"Link","given":"Jason","email":"","middleInitial":"S.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":870946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koning, Aaron A.","contributorId":250657,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":870947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jena, Joykrushna","contributorId":304560,"corporation":false,"usgs":false,"family":"Jena","given":"Joykrushna","email":"","affiliations":[{"id":66103,"text":"Indian Council of Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":870948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silva, Luiz G. M.","contributorId":220483,"corporation":false,"usgs":false,"family":"Silva","given":"Luiz G. M.","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":870949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Alison J.","contributorId":304561,"corporation":false,"usgs":false,"family":"King","given":"Alison","email":"","middleInitial":"J.","affiliations":[{"id":24850,"text":"La Trobe university","active":true,"usgs":false}],"preferred":false,"id":870950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelly, Rachel","contributorId":304562,"corporation":false,"usgs":false,"family":"Kelly","given":"Rachel","email":"","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":870951,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Osborne, Matthew","contributorId":304563,"corporation":false,"usgs":false,"family":"Osborne","given":"Matthew","email":"","affiliations":[{"id":66105,"text":"Department of Industry, Tourism and Trade","active":true,"usgs":false}],"preferred":false,"id":870952,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nakamura, Julia","contributorId":304564,"corporation":false,"usgs":false,"family":"Nakamura","given":"Julia","email":"","affiliations":[{"id":66106,"text":"University of Strathclyde Law School","active":true,"usgs":false}],"preferred":false,"id":870953,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Preece, Ann L.","contributorId":304566,"corporation":false,"usgs":false,"family":"Preece","given":"Ann","email":"","middleInitial":"L.","affiliations":[{"id":39614,"text":"CSIRO Oceans and Atmosphere","active":true,"usgs":false}],"preferred":false,"id":870954,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hagiwara, Atsushi","contributorId":304567,"corporation":false,"usgs":false,"family":"Hagiwara","given":"Atsushi","email":"","affiliations":[{"id":66108,"text":"Nagasaki University","active":true,"usgs":false}],"preferred":false,"id":870955,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Forsberg, Kerstin","contributorId":304568,"corporation":false,"usgs":false,"family":"Forsberg","given":"Kerstin","email":"","affiliations":[{"id":66109,"text":"Planeta Océano","active":true,"usgs":false}],"preferred":false,"id":870956,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kellner, Julie B.","contributorId":304569,"corporation":false,"usgs":false,"family":"Kellner","given":"Julie","email":"","middleInitial":"B.","affiliations":[{"id":66110,"text":"International Council for the Exploration of the Sea","active":true,"usgs":false}],"preferred":false,"id":870957,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Coscia, Ilaria","contributorId":304570,"corporation":false,"usgs":false,"family":"Coscia","given":"Ilaria","email":"","affiliations":[{"id":66111,"text":"University of Salford","active":true,"usgs":false}],"preferred":false,"id":870958,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Helyar, Sarah","contributorId":304571,"corporation":false,"usgs":false,"family":"Helyar","given":"Sarah","email":"","affiliations":[{"id":66112,"text":"Queen's University Belfast","active":true,"usgs":false}],"preferred":false,"id":870959,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Barange, Manuel","contributorId":268085,"corporation":false,"usgs":false,"family":"Barange","given":"Manuel","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":870960,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Nyboer, Elizabeth A.","contributorId":250650,"corporation":false,"usgs":false,"family":"Nyboer","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":870961,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, Meryl J.","contributorId":304572,"corporation":false,"usgs":false,"family":"Williams","given":"Meryl","email":"","middleInitial":"J.","affiliations":[{"id":34270,"text":"Independent contractor","active":true,"usgs":false}],"preferred":false,"id":870962,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Chuenpagdee, Ratana","contributorId":304573,"corporation":false,"usgs":false,"family":"Chuenpagdee","given":"Ratana","email":"","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":870963,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Begg, Gavin A.","contributorId":304574,"corporation":false,"usgs":false,"family":"Begg","given":"Gavin","email":"","middleInitial":"A.","affiliations":[{"id":66113,"text":"Department of Primary Industries and Regions","active":true,"usgs":false}],"preferred":false,"id":870964,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gillanders, Bronwyn M.","contributorId":304575,"corporation":false,"usgs":false,"family":"Gillanders","given":"Bronwyn","email":"","middleInitial":"M.","affiliations":[{"id":36897,"text":"University of Adelaide","active":true,"usgs":false}],"preferred":false,"id":870965,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70242669,"text":"70242669 - 2023 - Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","interactions":[],"lastModifiedDate":"2023-04-12T11:49:04.808559","indexId":"70242669","displayToPublicDate":"2023-03-04T06:46:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","docAbstract":"

In underground environments, conventional direct current (DC) resistivity surveys with a single linear array of electrodes produce fundamentally non-unique inversions. These non-uniqueness and model resolution issues stem from limitations placed on the location of transmitters (TXs) and receivers (RXs) by the geometry of existing tunnels and boreholes. Poor excitation and/or sampling of the region of interest (ROI) can create artifacts and reduce the resolution of the recovered model.

To address these problems we propose the use of an ensemble of ring arrays, which are created by placing one or more electrodes in each face (sidewalls, floor, and ceiling) of the tunnel to form a ring of electrodes at each along-tunnel location. Using a series of increasingly complex synthetic models, we assess the benefits of ring arrays and show that they can be used to better constrain the location and shape of anomalous bodies around the tunnel.

Although ring arrays significantly improve the resolution of the recovered model, the size of the comprehensive ring array survey increases rapidly with the number of electrodes used. To balance model resolution and survey size, we developed a physics-based survey design methodology. In this methodology, TXs are selected based upon secondary charge accumulations on a test block that is moved throughout the ROI. Although this survey design methodology does not produce a strictly optimal survey, it balances model resolution and survey size in a practical and computationally efficient manner.

Since the ring array more accurately estimates the around-tunnel location of targets and ensures that targets on all sides of the tunnel are detected, it is ideally suited to tunnel-based environments. Our results show that only about 6%\">6% of the possible TXs and 0.5%\">0.5% of the RXs in the comprehensive ring array survey are needed to retain the improvements in resolution. Therefore, economical ring array surveys can be designed for both reconnaissance and target characterization. Following the inversion of the reconnaissance dataset, additional rings can be added to reduce the inter-ring spacing or off-tunnel boreholes can be added to the region around identified anomalies to increase resolution as required.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2023.104949","usgsCitation":"Mitchell, M.A., and Oldenburg, D.W., 2023, Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings: Journal of Applied Geophysics, v. 211, 104949, 28 p., https://doi.org/10.1016/j.jappgeo.2023.104949.","productDescription":"104949, 28 p.","ipdsId":"IP-140867","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":415646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael Albert 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":299110,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"","middleInitial":"Albert","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldenburg, Douglas W. 0000-0002-4327-2124","orcid":"https://orcid.org/0000-0002-4327-2124","contributorId":304117,"corporation":false,"usgs":false,"family":"Oldenburg","given":"Douglas","email":"","middleInitial":"W.","affiliations":[{"id":65972,"text":"Geophysical Inversion Facility (GIF), Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":869277,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241187,"text":"70241187 - 2023 - A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","interactions":[],"lastModifiedDate":"2023-03-14T12:19:36.295822","indexId":"70241187","displayToPublicDate":"2023-03-03T07:18:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13457,"text":"The Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","docAbstract":"

Ecological condition continues to decline in arid and semi-arid river basins globally due to hydrological over-abstraction combined with changing climatic conditions. Whilst provision of water for the environment has been a primary approach to alleviate ecological decline, how to accurately monitor changes in riverine trees at fine spatial and temporal scales, remains a substantial challenge. This is further complicated by constantly changing water availability across expansive river basins with varying climatic zones. Within, we combine rare, fine-scale, high frequency temporal in-situ field collected data with machine learning and remote sensing, to provide a robust model that enables broadscale monitoring of physiological tree water stress response to environmental changes via actual evapotranspiration (ET). Physiological variation of Eucalyptus camaldulensis (River Red Gum) and E. largiflorens (Black Box) trees across 10 study locations in the southern Murray-Darling Basin, Australia, was captured instantaneously using sap flow sensors, substantially reducing tree response lags encountered by monitoring visual canopy changes. Actual ET measurement of both species was used to bias correct a national spatial ET product where a Random Forest model was trained using continuous timeseries of in-situ data of up to four years. Precise monthly AMLETT (Australia-wide Machine Learning ET for Trees) ET outputs in 30 m pixel resolution from 2012 to 2021, were derived by incorporating additional remote sensing layers such as soil moisture, land surface temperature, radiation and EVI and NDVI in the Random Forest model. Landsat and Sentinal-2 correlation results between in-situ ET and AMLETT ET returned R2 of 0.94 (RMSE 6.63 mm period−1) and 0.92 (RMSE 6.89 mm period−1), respectively. In comparison, correlation between in-situ ET and a national ET product returned R2 of 0.44 (RMSE 34.08 mm period−1) highlighting the need for bias correction to generate accurate absolute ET values. The AMLETT method presented here, enhances environmental management in river basins worldwide. Such robust broadscale monitoring can inform water accounting and importantly, assist decisions on where to prioritize water for the environment to restore and protect key ecological assets and preserve floodplain and riparian ecological function.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117393","usgsCitation":"Doody, T.M., Gao, S., Vervoot, W., Pritchard, J., Davies, M., Nolan, M., and Nagler, P.L., 2023, A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management: The Journal of Environmental Management, v. 332, 117393, 14 p., https://doi.org/10.1016/j.jenvman.2023.117393.","productDescription":"117393, 14 p.","ipdsId":"IP-144919","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":444303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117393","text":"Publisher Index Page"},{"id":414089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 140.07757319376452,\n -34.95139605233576\n ],\n [\n 144.51416562293036,\n -34.95139605233576\n ],\n [\n 144.51416562293036,\n -32.46697218892208\n ],\n [\n 140.07757319376452,\n -32.46697218892208\n ],\n [\n 140.07757319376452,\n -34.95139605233576\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"332","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doody, Tanya M.","contributorId":138691,"corporation":false,"usgs":false,"family":"Doody","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":866383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gao, Sicong","contributorId":303040,"corporation":false,"usgs":false,"family":"Gao","given":"Sicong","email":"","affiliations":[{"id":65623,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia; University of Canberra, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vervoot, Willem","contributorId":303041,"corporation":false,"usgs":false,"family":"Vervoot","given":"Willem","email":"","affiliations":[{"id":65624,"text":"School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":866385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pritchard, Jodie","contributorId":303042,"corporation":false,"usgs":false,"family":"Pritchard","given":"Jodie","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Michah","contributorId":303043,"corporation":false,"usgs":false,"family":"Davies","given":"Michah","email":"","affiliations":[{"id":65627,"text":"CSIRO, Land and Water, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolan, Martin","contributorId":303044,"corporation":false,"usgs":false,"family":"Nolan","given":"Martin","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240930,"text":"tm11B14 - 2023 - User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro","interactions":[],"lastModifiedDate":"2023-03-03T11:52:55.121859","indexId":"tm11B14","displayToPublicDate":"2023-03-02T07:37:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B14","displayTitle":"User’s Guide to Planetary Image Analysis and Geologic Mapping in ArcGIS Pro","title":"User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro","docAbstract":"

Geologic maps are valuable tools in planetary science. Though planetary geologic maps are similar to terrestrial (Earthbased) geologic maps, the nature of planetary exploration introduces unique challenges for geologic mappers. Terrestrial geologic mappers prepare products from field-based observation, often comparing or refining those with aerial and (or) orbital images. Planetary geologic mapping relies almost exclusively on remote observations, which are made by orbiting spacecraft. Therefore, with a few exceptions for locations with rovers, landers, or crewed surface missions, planetary geologic mappers are not able to observe their map area in detail or at smaller scales. As a result, they must interpret and describe their map features differently than those used in terrestrial geologic maps. For example, terrestrial geologic mappers commonly divide units by lithology (rock type) or grain size. However, planetary geologic mappers often do not have detailed enough information to know what type of rock or grain size is present, and instead must divide the planet’s surface into geologic units using differences in tone, color, and surface texture (at multiple scales). Cross-cutting relationships, where apparent, can provide excellent—and often crucial—observations for identifying and subdividing geologic units using orbital datasets. The process of creating planetary maps has evolved over time, from original hand-drawn maps created during the early 1800s through the late 1900s, to the fully digital products created today. Modern-day planetary geologic mapping uses Geographic Information Systems (GIS) software and tools to visualize data, delineate units and landforms, and accurately convey spatial relationships to a map user using cartographic features represented by points, lines, and polygons. This tutorial was written to familiarize both new and experienced planetary geologic mappers with ArcGIS Pro, a commonly used GIS software package developed by Esri. This tutorial introduces new planetary geologic mappers to fundamental concepts and best practices in planetary geologic mapping. For mappers with experience using ArcMap (a previous version of ArcGIS), this tutorial will help to familiarize users with new changes in layout and functionality, so current projects may be migrated into the ArcGIS Pro environment. No prior knowledge is required, although a general familiarity with geology, GIS, and planetary science is recommended. This tutorial includes links to helpful glossaries of common GIS terms and other GIS and planetary science resources in appendix 1. For additional information on planetary geologic mapping, see the U.S Geological Survey (USGS) Astrogeology NASA Planetary Geologic Mapping Program website and the Planetary Mapping Guidelines. Numerous ArcGIS tutorials are also available from Esri’s Tutorials page, through the Esri Academy catalog, and Esri’s ArcGIS Pro Resources page.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11B14","usgsCitation":"Black, S.R., 2023, User’s Guide to planetary image analysis and geologic mapping in ArcGIS Pro: U.S. Geological Survey Techniques and Methods 11–B14, 180 p., https://doi.org/10.3133/tm11B14.","productDescription":"vi, 180 p.","onlineOnly":"Y","ipdsId":"IP-133084","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":413590,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/b14/tm11b14.pdf","text":"Report","size":"88.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 11-B14"},{"id":413589,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11/b14/coverthb.jpg"},{"id":413591,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm11B13","text":"TM 11-B13 —","description":"TM 11-B13","linkHelpText":"Planetary geologic mapping protocol—2022"}],"contact":"

Astrogeology Research Program staff
Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001

","tableOfContents":"","publishedDate":"2023-03-02","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Sarah R. 0000-0003-0925-2143","orcid":"https://orcid.org/0000-0003-0925-2143","contributorId":292495,"corporation":false,"usgs":true,"family":"Black","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865342,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70240996,"text":"70240996 - 2023 - The relative stability of planktic foraminifer thermal preferences over the past 3 million years","interactions":[],"lastModifiedDate":"2023-03-03T12:47:53.890983","indexId":"70240996","displayToPublicDate":"2023-03-02T06:46:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1816,"text":"Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"The relative stability of planktic foraminifer thermal preferences over the past 3 million years","docAbstract":"

Stationarity of species’ ecological tolerances is a first-order assumption of paleoenvironmental reconstruction based upon analog methods. To test this and other assumptions used in quantitative analysis of foraminiferal faunas for paleoceanographic reconstruction, we analyzed paired alkenone unsaturation ratio (U37K′) \">UK′37) 37′)  sea surface temperature (SST) estimates and relative abundances of planktic foraminifera within Late Pliocene assemblages. We established Pliocene temperature preferences for nine species in the North Atlantic: Dentoglobigerina altispira, Globorotalia menardii, Globoconella puncticulata, Neogloboquadrina atlantica, Neogloboquadrina incompta, Neogloboquadrina pachyderma, Trilobatus sacculifer, Globigerinita glutinata, and Globigerina bulloides. We compared these to the temperature preferences of the same extant species, and in the three cases where the species are now extinct (Dentoglobigerina altispira, Neogloboquadrina atlantica, and Globoconella puncticulata), comparisons were made to either the descendant species or other modern species commonly used as analogs. In general, the taxa tested show similar temperature responses in both Late Pliocene and present-day (core-top) distributions. The data from these comparisons are mostly encouraging, supporting past paleoceanographic conclusions, and are otherwise valuable for testing previous taxonomic grouping decisions that are often necessary for interpreting the paleoenvironment based upon Pliocene foraminiferal assemblages.

","language":"English","publisher":"MDPI","doi":"10.3390/geosciences13030071","usgsCitation":"Dowsett, H., Robinson, M., Foley, K.M., Herbert, T.D., Hunter, S., Andersson, C., and Spivey, W., 2023, The relative stability of planktic foraminifer thermal preferences over the past 3 million years: Geosciences, v. 13, no. 3, 71, 15 p., https://doi.org/10.3390/geosciences13030071.","productDescription":"71, 15 p.","ipdsId":"IP-145922","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences13030071","text":"Publisher Index Page"},{"id":413656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":865655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":269557,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":865656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":865657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbert, Timothy D.","contributorId":192841,"corporation":false,"usgs":false,"family":"Herbert","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":865661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Steve 0000-0002-4593-6238","orcid":"https://orcid.org/0000-0002-4593-6238","contributorId":302870,"corporation":false,"usgs":false,"family":"Hunter","given":"Steve","email":"","affiliations":[{"id":40084,"text":"Leeds Univ.","active":true,"usgs":false}],"preferred":false,"id":865658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersson, Carin 0000-0002-7113-6066","orcid":"https://orcid.org/0000-0002-7113-6066","contributorId":260515,"corporation":false,"usgs":false,"family":"Andersson","given":"Carin","email":"","affiliations":[{"id":52608,"text":"NORCE Norwegian Research Centre, Norway; Bjerknes Centre for Climate Research, Norway","active":true,"usgs":false}],"preferred":false,"id":865659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":865660,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249000,"text":"70249000 - 2023 - Sustainable aquifer management for food security","interactions":[],"lastModifiedDate":"2023-09-28T11:48:56.011305","indexId":"70249000","displayToPublicDate":"2023-03-02T06:45:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16884,"text":"Agricultural Systems Journal","active":true,"publicationSubtype":{"id":10}},"title":"Sustainable aquifer management for food security","docAbstract":"

In aquifer-dependent regions, balancing aquifer protection, desalination, economic development, agricultural irrigation, and food security can be better managed through discovery and development of sources of sustainable groundwater pumping. Aquifer desalination for irrigation to protect food security can mitigate pressure on local freshwater aquifers. Despite its importance, little peer reviewed work to date has identified the economic capacity to pay for aquifer desalination for irrigation to mitigate freshwater aquifer drawdown. The novel contribution of this work is the development and application of an innovative method to assess the economic capacity to pay for aquifer desalination for irrigation for a recently discovered large saline aquifer. It develops an original framework to assess the capacity to pay for aquifer desalination, the results of which can help guide policymakers on efficient and sustainable pumping approaches across users, aquifers, and time periods. A mathematical programming model is developed to economically analyze the 200 billion cubic meter Lotikipi Aquifer, discovered in 2013 in northern Kenya using modern remote sensing methods. While initial pumping of the Lotikipi Aquifer was halted due to high groundwater salinity levels, interest remains strong in assessing the economic capacity to pay for groundwater desalination because of its potential role in protecting regional food security generated by aquifer pumping for irrigation. The model is formulated by calibrating optimized pumping patterns in two existing freshwater aquifers to replicate observed historical pumping levels. Based on that exercise, a second model is developed to identify a least cost set of pumping restrictions that return each of three regional aquifers to starting conditions over a seven-year time period. A third model extends the second by adding a constraint of a minimum required level of food grain security supported by irrigation pumping from the aquifer system. Results show that the economic capacity to pay for aquifer desalination for irrigated agriculture lies in the range of $0.08 - $0.18 USD per cubic meter under current economic conditions and desalination technologies available. While this economic capacity to pay is lower than its current cost in most places, the future could be more optimistic. Advances in desalination technology, higher crop prices, technical advance in agriculture, and development of drought-resistant crops can all contribute to a future capacity to economically justify the expense of desalination.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2022.108073","usgsCitation":"Funk, B., Amer, S.A., and Ward, F.A., 2023, Sustainable aquifer management for food security: Agricultural Systems Journal, v. 281, 108073, 12 p., https://doi.org/10.1016/j.agwat.2022.108073.","productDescription":"108073, 12 p.","ipdsId":"IP-136106","costCenters":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"links":[{"id":444312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2022.108073","text":"Publisher Index Page"},{"id":421335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kenya","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[40.993,-0.85829],[41.58513,-1.68325],[40.88477,-2.08255],[40.63785,-2.49979],[40.26304,-2.57309],[40.12119,-3.27768],[39.80006,-3.68116],[39.60489,-4.34653],[39.20222,-4.67677],[37.7669,-3.67712],[37.69869,-3.09699],[34.07262,-1.05982],[33.90371,-0.95],[33.89357,0.10981],[34.18,0.515],[34.6721,1.17694],[35.03599,1.90584],[34.59607,3.05374],[34.47913,3.5556],[34.005,4.24988],[34.6202,4.84712],[35.29801,5.506],[35.81745,5.33823],[35.81745,4.77697],[36.15908,4.44786],[36.85509,4.44786],[38.12091,3.59861],[38.43697,3.58851],[38.67114,3.61607],[38.89251,3.50074],[39.55938,3.42206],[39.85494,3.83879],[40.76848,4.25702],[41.1718,3.91909],[41.85508,3.91891],[40.98105,2.78452],[40.993,-0.85829]]]},\"properties\":{\"name\":\"Kenya\"}}]}","volume":"281","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Bryana","contributorId":330246,"corporation":false,"usgs":false,"family":"Funk","given":"Bryana","email":"","affiliations":[],"preferred":false,"id":884481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amer, Saud A. 0000-0002-5580-3260 samer@usgs.gov","orcid":"https://orcid.org/0000-0002-5580-3260","contributorId":244842,"corporation":false,"usgs":true,"family":"Amer","given":"Saud","email":"samer@usgs.gov","middleInitial":"A.","affiliations":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"preferred":true,"id":884482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Frank A.","contributorId":330245,"corporation":false,"usgs":false,"family":"Ward","given":"Frank","email":"","middleInitial":"A.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":884483,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70242788,"text":"70242788 - 2023 - Increased whitebark pine (Pinus albicaulis) growth and defense under a warmer and regionally drier climate","interactions":[],"lastModifiedDate":"2023-04-18T11:36:11.892736","indexId":"70242788","displayToPublicDate":"2023-03-02T06:33:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Increased whitebark pine (Pinus albicaulis) growth and defense under a warmer and regionally drier climate","docAbstract":"

Introduction: Tree defense characteristics play a crucial role in modulating conifer bark beetle interactions, and there is a growing body of literature investigating factors mediating tree growth and resin-based defenses in conifers. A subset of studies have looked at relationships between tree growth, resin duct morphology and climate; however, these studies are almost exclusively from lower-elevation, moisture-limited systems. The relationship between resin ducts and climate in higher-elevation, energy-limited ecosystems is currently poorly understood.

Methods: In this study, we: (1) evaluated the relationship between biological trends in tree growth, resin duct anatomy, and climatic variability and (2) determined if tree growth and resin duct morphology of whitebark pine, a high-elevation conifer of management concern, is constrained by climate and/or regional drought conditions.

Results: We found that high-elevation whitebark pine trees growing in an energy-limited system experienced increased growth and defense under warmer and regionally drier conditions, with climate variables explaining a substantive proportion of variation (∼20–31%) in tree diameter growth and resin duct anatomy.

Discussion: Our results suggest that whitebark pine growth and defense was historically limited by short growing seasons in high-elevation environments; however, this relationship may change in the future with prolonged warming conditions.

","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2023.1089138","usgsCitation":"Kichas, N., Pederson, G.T., Hood, S.M., Everett, R.G., and McWethy, D.B., 2023, Increased whitebark pine (Pinus albicaulis) growth and defense under a warmer and regionally drier climate: Frontiers in Forests and Global Change, v. 6, 1089138, 13 p., https://doi.org/10.3389/ffgc.2023.1089138.","productDescription":"1089138, 13 p.","ipdsId":"IP-136916","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2023.1089138","text":"Publisher Index Page"},{"id":415907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Flathead Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.96443731737476,\n 48.024325063887574\n ],\n [\n -114.96443731737476,\n 47.126084063219224\n ],\n [\n -113.84980448318083,\n 47.126084063219224\n ],\n [\n -113.84980448318083,\n 48.024325063887574\n ],\n [\n -114.96443731737476,\n 48.024325063887574\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kichas, Nicholas E.","contributorId":261369,"corporation":false,"usgs":false,"family":"Kichas","given":"Nicholas E.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":869777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":869778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":869779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Everett, Richard G.","contributorId":221184,"corporation":false,"usgs":false,"family":"Everett","given":"Richard","email":"","middleInitial":"G.","affiliations":[{"id":37636,"text":"Salish Kootenai College","active":true,"usgs":false}],"preferred":false,"id":869780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":869781,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240870,"text":"sir20225079 - 2023 - Simulation of monthly mean and monthly base flow of streamflow using random forests for the Mississippi River Alluvial Plain, 1901 to 2018","interactions":[],"lastModifiedDate":"2026-02-23T19:17:56.29845","indexId":"sir20225079","displayToPublicDate":"2023-03-01T12:52:03","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5079","displayTitle":"Simulation of Monthly Mean and Monthly Base Flow of Streamflow using Random Forests for the Mississippi River Alluvial Plain, 1901 to 2018","title":"Simulation of monthly mean and monthly base flow of streamflow using random forests for the Mississippi River Alluvial Plain, 1901 to 2018","docAbstract":"

Improved simulations of streamflow and base flow for selected sites within and adjacent to the Mississippi River Alluvial Plain area are important for modeling groundwater flow because surface-water flows have a substantial effect on groundwater levels. One method for simulating streamflow and base flow, random forest (RF) models, was developed from the data at gaged sites and, in turn, was used to make monthly mean streamflow and base-flow predictions at 162 ungaged sites in the study area. Daily streamflow observations and computed base flow from 247 streamgages were used as the basis for the development of these RF models. RF models were constructed from basin and climatic characteristics and related to observed monthly mean streamflow values; models were used to compute monthly base-flow estimates from selected streamgages in and adjacent to the Mississippi River Alluvial Plain extent, which includes streamflows from parts of Alabama, Arkansas, Colorado, Florida, Illinois, Indiana, Kansas, Kentucky, Louisiana, Mississippi, Missouri, New Mexico, Tennessee, and Texas. The explanatory variables for the models were selected to represent physical characteristics and climatic time series for the contributing drainage basins to the streamgages and ungaged locations of interest. The Nash-Sutcliffe efficiency between observed and simulated monthly mean streamflow was greater than 0.80 for 155 of the 247 streamgages, with a median Nash-Sutcliffe efficiency value of 0.83. The streamflow and base-flow simulations can be used to improve inflow values and to verify the Mississippi River Alluvial Plain groundwater flow model. The statistical model, input data, and response data (simulated monthly mean streamflows) are available as a U.S. Geological Survey software release and a U.S. Geological Survey data release.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225079","programNote":"Water Availability and Use Science Program","usgsCitation":"Dietsch, B.J., Asquith, W.H., Breaker, B.K., Westenbroek, S.M., and Kress, W.H., 2023, Simulation of monthly mean and monthly base flow of streamflow using random forests for the Mississippi River Alluvial Plain, 1901 to 2018: U.S. Geological Survey Scientific Investigations Report 2022–5079, 17 p., https://doi.org/10.3133/sir20225079.","productDescription":"Report: v, 17 p.; Tables: 4; Data Release; Dataset; Software Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-105480","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":413473,"rank":14,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P92UE6EG","text":"USGS software release","linkHelpText":"—mapRandomForest—Monthly flow estimation in the Mississippi Alluvial Plain by means of random forest modeling"},{"id":413470,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.3.csv","text":"Table 3.3","size":"16.8 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5079 Table 3.3","linkHelpText":"—Performance metrics of comparing to the computed monthly base flows with estimated base flows for the model trained with all gaged sites in the Mississippi embayment regional aquifer system, 1901–2018."},{"id":413468,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.2.csv","text":"Table 3.2","size":"16.8 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5079 Table 3.2","linkHelpText":"—Performance metrics of comparing to the observed monthly mean streamflows with estimated streamflows for the model trained with all gaged sites in the Mississippi embayment regional aquifer system, 1901–2016."},{"id":413467,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.2.xlsx","text":"Table 3.2","size":"51.9 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5079 Table 3.2","linkHelpText":"—Performance metrics of comparing to the observed monthly mean streamflows with estimated streamflows for the model trained with all gaged sites in the Mississippi embayment regional aquifer system, 1901–2016."},{"id":413440,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.1.csv","text":"Table 3.1","size":"17.4 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5079 Table 3.1","linkHelpText":"—Performance metrics of comparing the observed monthly mean streamflows with estimated flows for the random forest models using leave-one-out cross validation in the Mississippi embayment regional aquifer system, 1901–2016."},{"id":413439,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.1.xlsx","text":"Table 3.1","size":"35.8 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5079 Table 3.1","linkHelpText":"—Performance metrics of comparing the observed monthly mean streamflows with estimated flows for the random forest models using leave-one-out cross validation in the Mississippi embayment regional aquifer system, 1901–2016."},{"id":413436,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table1.1.xlsx","text":"Table 1.1","size":"41.6 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5079 Table 1.1","linkHelpText":"—U.S. Geological Survey streamgages used to train and evaluate performance in the random forest model in the Mississippi alluvial plain area, 1901–2018."},{"id":500451,"rank":17,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114427.htm","linkFileType":{"id":5,"text":"html"}},{"id":413543,"rank":16,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225079/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413438,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table1.1.csv","text":"Table 1.1","size":"24.3 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5079 Table 1.1","linkHelpText":"—U.S. Geological Survey streamgages used to train and evaluate performance in the random forest model in the Mississippi alluvial plain area, 1901–2018."},{"id":413472,"rank":13,"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":413433,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079.pdf","text":"Report","size":"2.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5079"},{"id":413474,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QCK8HY","text":"USGS data release","linkHelpText":"Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi embayment regional study area using a random forest model"},{"id":413431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5079/coverthb.jpg"},{"id":413469,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079_table3.3.xlsx","text":"Table 3.3","size":"51.9 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5079 Table 3.3","linkHelpText":"—Performance metrics of comparing to the computed monthly base flows with estimated base flows for the model trained with all gaged sites in the Mississippi embayment regional aquifer system, 1901–2018."},{"id":413434,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5079/sir20225079.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":413435,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5079/images"}],"country":"United States","state":"Alabama, Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi River Alluvial Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.03025800131559,\n 37.28445113180966\n ],\n [\n -89.46951716923496,\n 37.3543169113709\n ],\n [\n -90.7872946729918,\n 37.28445113180966\n ],\n [\n -91.35833159128646,\n 36.75839141479749\n ],\n [\n -91.57796117524614,\n 36.157799926308016\n ],\n [\n -92.54433134466798,\n 34.79858608276733\n ],\n [\n -93.46677559729828,\n 34.001232615548204\n ],\n [\n -94.16959026596825,\n 33.453245215039345\n ],\n [\n -94.12566434917669,\n 32.60623960463097\n ],\n [\n -93.68640518125733,\n 31.974988674055254\n ],\n [\n -92.85181276221142,\n 31.301841454580938\n ],\n [\n -92.14919205062179,\n 30.586206753913928\n ],\n [\n -91.73187644539026,\n 29.711100959730437\n ],\n [\n -91.18272490265942,\n 29.368330385382677\n ],\n [\n -90.0452116216889,\n 28.771138886480976\n ],\n [\n -89.30320615321801,\n 29.71006103081862\n ],\n [\n -90.19224209127688,\n 30.127552112063803\n ],\n [\n -90.91562646739463,\n 31.0753917734651\n ],\n [\n -90.51669209463002,\n 32.10095483731216\n ],\n [\n -89.27937022410158,\n 32.282479934165245\n ],\n [\n -87.59574210804388,\n 31.592338039446734\n ],\n [\n -86.92285617948647,\n 31.727270184726734\n ],\n [\n -86.98192102770737,\n 32.05617689846454\n ],\n [\n -87.48043900092853,\n 32.310554718003225\n ],\n [\n -88.77138589381309,\n 32.8479963969198\n ],\n [\n -89.09553591169798,\n 33.60691925406411\n ],\n [\n -88.54643285823738,\n 36.07391014479215\n ],\n [\n -89.03025800131559,\n 37.28445113180966\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey 
5231 South 19th Street
Lincoln, NE 68512

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-01","noUsgsAuthors":false,"publicationDate":"2023-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breaker, Brian 0000-0002-1985-4992","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":291602,"corporation":false,"usgs":false,"family":"Breaker","given":"Brian","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":865105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262846,"text":"70262846 - 2023 - Distribution of northern long-eared bat summer-habitat derived from historical data collected on the Monongahela National Forest, West Virginia, USA","interactions":[],"lastModifiedDate":"2025-01-24T17:08:47.242141","indexId":"70262846","displayToPublicDate":"2023-03-01T11:05:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of northern long-eared bat summer-habitat derived from historical data collected on the Monongahela National Forest, West Virginia, USA","docAbstract":"

Species distribution models enable resource managers to avoid and mitigate impacts to, or enhance habitat of, target species at the landscape level. Persistent declines of northern long-eared bats (Myotis septentrionalis) due to white-nose syndrome have made acquisition of contemporary data difficult. Therefore, use of legacy data may be necessary for creation of species distribution models. We used historical roost and capture records, both individually and in combination, to assess the distribution and availability of northern long-eared bat habitat across the 670,000-ha Monongahela Na- tional Forest (MNF), West Virginia, USA. We created random forest presence/pseudo-absence models to examine influences of various biotic and abi- otic predictors on both roosting and foraging presence locations of northern long-eared bats. Predicted northern long-eared bat habitat was abundant (43.1% of the MNF) and widely dispersed. Generally, all models suggested that northern long-eared bat habitat was characterized by interior forests containing linear edge features. We observed only 3.4% spatial overlap of habitat based on complete model agreement, but 38.5% of all habitat areas resulted from agreement between capture-only and combination models. Our models provide important assessments of habitat availability necessary for addressing state and federal conservation requirements on the MNF and adjacent eastern West Virginia mountains.

","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"De La Cruz, J., Ford, W., Jones, S.B., Johnson, J., and Silvis, A., 2023, Distribution of northern long-eared bat summer-habitat derived from historical data collected on the Monongahela National Forest, West Virginia, USA: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 10, p. 114-124.","productDescription":"11 p.","startPage":"114","endPage":"124","ipdsId":"IP-144150","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481130,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2023/distribution-northern-long-eared-bat-summer-habitat-monongahela-national-forest-west"},{"id":481153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.92561978482631,\n 38.52966246222408\n ],\n [\n -80.6422160008137,\n 38.52966246222408\n ],\n [\n -80.6422160008137,\n 38.104444484140316\n ],\n [\n -79.92561978482631,\n 38.104444484140316\n ],\n [\n -79.92561978482631,\n 38.52966246222408\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"De La Cruz, J.L.","contributorId":349847,"corporation":false,"usgs":false,"family":"De La Cruz","given":"J.L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":924990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":924991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, S. Beaux","contributorId":346278,"corporation":false,"usgs":false,"family":"Jones","given":"S.","email":"","middleInitial":"Beaux","affiliations":[{"id":82811,"text":"The Water Institute, Baton Rouge, Louisiana, USA","active":true,"usgs":false}],"preferred":false,"id":924992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, J.R.","contributorId":349849,"corporation":false,"usgs":false,"family":"Johnson","given":"J.R.","affiliations":[{"id":32872,"text":"John Hopkins University, Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":924993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silvis, A.","contributorId":349851,"corporation":false,"usgs":false,"family":"Silvis","given":"A.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924994,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268718,"text":"70268718 - 2023 - Central Beaufort Sea Wave and Hydrodynamic Modeling Study; Report 2: Modeled waves, hydrodynamics, and sediment transport within Foggy Island Bay","interactions":[],"lastModifiedDate":"2025-07-07T15:41:04.661133","indexId":"70268718","displayToPublicDate":"2023-03-01T10:37:35","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5709,"text":"OCS Study","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"BOEM 2022-079","title":"Central Beaufort Sea Wave and Hydrodynamic Modeling Study; Report 2: Modeled waves, hydrodynamics, and sediment transport within Foggy Island Bay","docAbstract":"Renewed interest in nearshore oil exploration and production in the shallow waters of the Central Beaufort Sea Shelf has created a need to advance our understanding of the past, current, and future atmospheric and oceanographic conditions that affect existing and planned infrastructure and nearshore ecosystems. At the time of writing this report, Hilcorp Alaska LLC has received BOEM approval for an oil and gas Development and Production Plan (DPP) that includes the construction of the Liberty Drilling Island (LDI) in Foggy Island Bay, situated within Stefansson Sound circa 30 km east of Prudhoe Bay (Figure 1.1). The aim of this study is to investigate how longer periods of open water (defined as < 15% ice cover), decreased sea ice cover, and changes in ocean and atmospheric conditions might affect wave and storm surge conditions, sediment transport patterns, and coastal erosion rates within Foggy Island Bay as well as the modeled influence of the offshore artificial island on sediment transport patterns.","language":"English","publisher":"Bureau of Ocean and Energy Management (BOEM)","usgsCitation":"Erikson, L.H., Nederhoff, C.M., Engelstad, A.C., Kasper, J., and Bieniek, P.A., 2023, Central Beaufort Sea Wave and Hydrodynamic Modeling Study; Report 2: Modeled waves, hydrodynamics, and sediment transport within Foggy Island Bay: OCS Study BOEM 2022-079, 64 p.","productDescription":"64 p.","ipdsId":"IP-147575","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491591,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://espis.boem.gov/final%20reports/BOEM_2022-079.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":491739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Foggy Island Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.9566685211152,\n 70.37889977965969\n ],\n [\n -147.9566685211152,\n 70.1704960051022\n ],\n [\n -147.22144502523884,\n 70.1704960051022\n ],\n [\n -147.22144502523884,\n 70.37889977965969\n ],\n [\n -147.9566685211152,\n 70.37889977965969\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2023-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":941726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Anita C 0000-0002-0211-4189","orcid":"https://orcid.org/0000-0002-0211-4189","contributorId":268303,"corporation":false,"usgs":true,"family":"Engelstad","given":"Anita","email":"","middleInitial":"C","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":941728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bieniek, Peter A.","contributorId":210907,"corporation":false,"usgs":false,"family":"Bieniek","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":941729,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245590,"text":"70245590 - 2023 - Results of validation exercise for Marine Benthic Index","interactions":[],"lastModifiedDate":"2023-06-26T14:21:41.468174","indexId":"70245590","displayToPublicDate":"2023-03-01T08:59:30","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"23-03-009","title":"Results of validation exercise for Marine Benthic Index","docAbstract":"

Marine benthic invertebrates (benthos) are key components of the Puget Sound ecosystem. Because of their direct association living in, and sometimes consuming, sediments, benthos can be valuable sentinels of ecosystem health. Therefore, indicators of benthic invertebrate community health can serve as direct measures of sediment and water quality.

In 2021, the Puget Sound Partnership funded development of a Marine Benthic Index. The Marine Benthic Index thus developed uses a novel approach that accounts for habitat preferences of the benthic invertebrate species. This report describes the design and results of the exercise conducted to validate the Marine Benthic Index.

The goals of the validation exercise were to determine (a) how well the Marine Benthic Index matches more standard ways of assessing community health and (b) how finely it is possible to distinguish between levels of disturbance. A controlled experiment was devised in which simulated benthic communities were generated to correspond to predetermined levels of disturbance, and experts in benthic ecology determined which communities reflected the more-disturbed conditions. In this way, the index was directly compared to traditional methods of assessing benthic communities.

The results provide strong evidence that the “latent disturbance” model used to derive the Marine Benthic Index is identifying effects that benthic experts recognize as disturbance. Not only did the model agree with the experts overall, but also the probability of agreement strongly increased with increasing difference in disturbance level.

The validation exercise results indicate that the Marine Benthic Index is a reliable method of determining disturbance without the necessity of assuming a priori knowledge of the disturbance. Furthermore, the numerical approach embodied in the Marine Benthic Index has the advantage of being able to find patterns beyond the capability of individual experts to know the effects of human disturbances for all species under all environmental conditions.

","language":"English","publisher":"Washington State Department of Ecology","usgsCitation":"Partridge, V., and Schoolmaster, D., 2023, Results of validation exercise for Marine Benthic Index, 20 p.","productDescription":"20 p.","ipdsId":"IP-150986","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":418462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418440,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apps.ecology.wa.gov/publications/SummaryPages/2303009.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.68802842788664,\n 48.373846480343786\n ],\n [\n -123.81913490967645,\n 48.1115756888573\n ],\n [\n -123.14402339912499,\n 48.1115756888573\n ],\n [\n -122.95024139146665,\n 48.0781752174214\n ],\n [\n -122.80646764384926,\n 48.06564444677369\n ],\n [\n -122.7127021562724,\n 47.86893056996965\n ],\n [\n -122.90648416393074,\n 47.8437642242728\n ],\n [\n -123.16902752914547,\n 47.32939769868071\n ],\n [\n -123.05650894405355,\n 47.07883242923262\n ],\n [\n -122.88773106641568,\n 46.99788994223897\n ],\n [\n -122.5251711811191,\n 47.104367705928325\n ],\n [\n -122.26262781590475,\n 47.38868015989351\n ],\n [\n -122.18136439333833,\n 47.604074545611496\n ],\n [\n -122.25012575089434,\n 47.759788176494226\n ],\n [\n -122.2376236858843,\n 48.00294481937837\n ],\n [\n -122.46266085606811,\n 48.69257458713301\n ],\n [\n -122.76271041631334,\n 48.99289388766516\n ],\n [\n -123.27529508173234,\n 49.005197262284895\n ],\n [\n -123.03150481403307,\n 48.80386145797766\n ],\n [\n -123.21278475668099,\n 48.68432130986798\n ],\n [\n -123.20653372417596,\n 48.41120398521281\n ],\n [\n -123.51283431692622,\n 48.26160937223193\n ],\n [\n -124.73803668792758,\n 48.5810411917262\n ],\n [\n -124.68802842788664,\n 48.373846480343786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Partridge, Valerie","contributorId":312466,"corporation":false,"usgs":false,"family":"Partridge","given":"Valerie","affiliations":[{"id":67683,"text":"Department of Ecology, State of Washington","active":true,"usgs":false}],"preferred":false,"id":876181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald 0000-0003-0910-4458","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":202356,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":876182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241940,"text":"70241940 - 2023 - Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems","interactions":[],"lastModifiedDate":"2023-06-08T14:50:49.582397","indexId":"70241940","displayToPublicDate":"2023-03-01T08:50:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems","docAbstract":"

The loss of ecosystem services due to climate change and coastal development is projected to have significant impacts on local economies and conservation of natural resources. Consequently, there has been an increase in coastal management activities such as living shorelines, oyster reef restoration, marsh restoration, beach and dune nourishment, and revegetation projects. Coastal management decisions are complex and include challenging trade-offs. Decision science offers a useful framework to address such complex problems. Here, we provide a synthesis about how decision science can help to integrate research from multiple disciplines (physical and life sciences) with management of coastal and marine systems. Specifically, we discuss the importance of considering concepts and techniques from ecology, coastal geology, geomorphology, climate science, oceanography, and decision analysis when developing conservation plans for coastal restoration. We illustrate the process with several coastal restoration studies. Our capstone example is based on a recent barrier island restoration assessment project at Dauphin Island, Alabama, which included the development of geomorphological and ecological models. We show how decision science can be used as a framework to combine geomorphological and ecological modeling to help inform management decisions while considering uncertainty about system changes and risk tolerance. We also build on our examples through a review of recently developed techniques for spatial conservation planning for land acquisition decisions and the application of adaptive management for sequential decisions.

","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-13696-280150","usgsCitation":"Martin, J., Richardson, M.S., Passeri, D., Enwright, N., Yurek, S., Flocks, J., Eaton, M.J., Zeigler, S., Charkhgard, H., Udell, B.J., and Irwin, E.R., 2023, Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems: Ecology and Society, v. 28, no. 1, 50, 42 p.; Data Release, https://doi.org/10.5751/ES-13696-280150.","productDescription":"50, 42 p.; Data Release","ipdsId":"IP-131634","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444322,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-13696-280150","text":"Publisher Index Page"},{"id":415009,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417824,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KAOMOG"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.05480778178162,\n 30.27026855261498\n ],\n [\n -88.36690070228026,\n 30.27026855261498\n ],\n [\n -88.36690070228026,\n 30.215693674904358\n ],\n [\n -88.05480778178162,\n 30.215693674904358\n ],\n [\n -88.05480778178162,\n 30.27026855261498\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":216734,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Matthew S.","contributorId":303859,"corporation":false,"usgs":false,"family":"Richardson","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":868288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":201674,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":868293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zeigler, Sara 0000-0002-5472-769X","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":222703,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868294,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":868295,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":868296,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":868297,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70244090,"text":"70244090 - 2023 - Unravelling the influence of landscape alteration from flow alteration on benthic macroinvertebrate assemblage response in the Delaware River Basin","interactions":[],"lastModifiedDate":"2023-06-01T14:08:40.055086","indexId":"70244090","displayToPublicDate":"2023-03-01T08:44:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Unravelling the influence of landscape alteration from flow alteration on benthic macroinvertebrate assemblage response in the Delaware River Basin","docAbstract":"Quantifying the effects of streamflow alteration on assemblage response is central to understanding the role humans play in shaping aquatic environments. These changes represent a level of complexity that impedes developing quantitative links between flow and ecological response because stream hydrology is strongly intertwined with natural and anthropogenic factors. Better management outcomes require disentangling these linkages. Benthic macroinvertebrate data were combined with GIS-derived natural and anthropogenic basin characteristics to identify factors associated with changes in flow processes and assemblage characteristics. Models linking streamflow metrics and macroinvertebrate response at basin and subregion scales were developed using boosted regression tree (BRT) analysis. Basin-scale BRT analyses revealed that links between macroinvertebrate response and flow metrics were often obscured, whereas more homogeneous subregions were better able to discern relations with flow. Urban land cover was the primary factor accounting for changes in flow characteristics. Elevation, land cover, and high flow frequency were the principal variables driving changes in assemblage structure within subregions. Assemblage metrics and traits were equally useful for building response models and were affected similarly by streamflow alteration. Results indicate that response models should be developed based on upland and coastal subregions. However, when defining subregions, care should be taken to maintain data sufficiency. Developing practical flow-protection standards that support a balance between human water requirements and ecological integrity requires models that reduce uncertainty and identify management-relevant drivers. However, effective management often differs by location and models developed at the subregion level may be more applicable to management and stakeholder interests.","language":"English","publisher":"Wiley","doi":"10.1002/eco.2508","usgsCitation":"Kennen, J., and Cuffney, T.F., 2023, Unravelling the influence of landscape alteration from flow alteration on benthic macroinvertebrate assemblage response in the Delaware River Basin: Ecohydrology, v. 16, no. 2, e2508, 41 p., https://doi.org/10.1002/eco.2508.","productDescription":"e2508, 41 p.","ipdsId":"IP-128360","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":498861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2508","text":"Publisher Index Page"},{"id":417646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.07997541667648,\n 38.70906787639316\n ],\n [\n -74.80531721355018,\n 39.00778043156808\n ],\n [\n -74.33839826823872,\n 40.4450386444411\n ],\n [\n -73.72865705730113,\n 40.994591290300974\n ],\n [\n -73.7835886979261,\n 42.478350475454334\n ],\n [\n -75.40956526042564,\n 42.295772510663625\n ],\n [\n -75.42055158855078,\n 41.8349594674406\n ],\n [\n -76.34340315105082,\n 40.43667721449637\n ],\n [\n -75.78859358073888,\n 39.713504216020766\n ],\n [\n -75.76662092448927,\n 39.578152174338356\n ],\n [\n -75.66225080730156,\n 39.41283383409595\n ],\n [\n -75.50294904948888,\n 39.22584914314203\n ],\n [\n -75.47548322917642,\n 39.042631522344635\n ],\n [\n -75.33266096355176,\n 38.846103881559685\n ],\n [\n -75.07997541667648,\n 38.70906787639316\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874462,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241112,"text":"70241112 - 2023 - Large increases in methane emissions expected from North America’s largest wetland complex","interactions":[],"lastModifiedDate":"2023-03-10T15:10:35.729452","indexId":"70241112","displayToPublicDate":"2023-03-01T08:33:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Large increases in methane emissions expected from North America’s largest wetland complex","docAbstract":"

Natural methane (CH4) emissions from aquatic ecosystems may rise because of human-induced climate warming, although the magnitude of increase is highly uncertain. Using an exceptionally large CH4 flux dataset (~19,000 chamber measurements) and remotely sensed information, we modeled plot- and landscape-scale wetland CH4 emissions from the Prairie Pothole Region (PPR), North America’s largest wetland complex. Plot-scale CH4 emissions were driven by hydrology, temperature, vegetation, and wetland size. Historically, landscape-scale PPR wetland CH4 emissions were largely dependent on total wetland extent. However, regardless of future wetland extent, PPR CH4 emissions are predicted to increase by two- or threefold by 2100 under moderate or severe warming scenarios, respectively. Our findings suggest that international efforts to decrease atmospheric CH4 concentrations should jointly account for anthropogenic and natural emissions to maintain climate mitigation targets to the end of the century.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.ade1112","usgsCitation":"Bansal, S., Post van der Burg, M., Fern, R., Jones, J., Lo, R., McKenna, O.P., Tangen, B., Zhang, Z., and Gleason, R.A., 2023, Large increases in methane emissions expected from North America’s largest wetland complex: Science Advances, v. 9, no. 9, eade1112, 14 p., https://doi.org/10.1126/sciadv.ade1112.","productDescription":"eade1112, 14 p.","ipdsId":"IP-137112","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444325,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.ade1112","text":"Publisher Index Page"},{"id":435429,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PKI29C","text":"USGS data release","linkHelpText":"Methane flux model for wetlands of the Prairie Pothole Region of North America: Model input data and programming code"},{"id":413952,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.103,\n 47.104\n ],\n [\n -99.103,\n 47.096\n ],\n [\n -99.091,\n 47.096\n ],\n [\n -99.091,\n 47.104\n ],\n [\n -99.103,\n 47.104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":866116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219400,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":866117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fern, Rachel","contributorId":302984,"corporation":false,"usgs":false,"family":"Fern","given":"Rachel","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":866118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":866119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lo, Rachel 0000-0003-1014-7076","orcid":"https://orcid.org/0000-0003-1014-7076","contributorId":303000,"corporation":false,"usgs":true,"family":"Lo","given":"Rachel","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":866151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":866121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":866122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Zhen 0000-0003-0899-1139","orcid":"https://orcid.org/0000-0003-0899-1139","contributorId":149173,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":866123,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":866124,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70245363,"text":"70245363 - 2023 - Magnetotelluric monitoring of the Geysers Steam Field, northern California: Phase 2","interactions":[],"lastModifiedDate":"2024-10-30T15:06:07.469944","indexId":"70245363","displayToPublicDate":"2023-03-01T08:29:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Magnetotelluric monitoring of the Geysers Steam Field, northern California: Phase 2","docAbstract":"An original magnetotelluric (MT) survey collected in 2017 included 42 MT stations mainly in the northwestern part of The Geysers geothermal field in northern California. These data were modeled in 3D and imaged the electrically conductive cover, the electrically resistive steam field, and the electrically resistive Geysers plutonic complex (Peacock et al., 2020; Peacock et al. 2020a). Success of the original survey initiated collaboration between the U.S. Geological Survey and Lawrence Berkeley National Labs to monitor the steam field with MT and passive seismic to create a joint 4D model over the course of three years. This project, funded by the California Energy Commission, began in 2020. Two repeated MT surveys were collected at The Geysers, one in April 2021 (Peacock et al., 2022) and the second in April 2022 that extend further south adding 13 stations to the original 2017 survey. Reported here are observations comparing the 2017 data with the 2022 data. Preliminary results indicate the steam field changed in differently across the steam field, similar to changes observed between the 2017 and 2021 data.","conferenceTitle":"2023 Stanford Geothermal Workshop","conferenceDate":"February 6-8, 2023","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Peacock, J., Alumbaugh, D., Mitchell, M., and Hartline, C., 2023, Magnetotelluric monitoring of the Geysers Steam Field, northern California: Phase 2, 2023 Stanford Geothermal Workshop, Stanford, CA, February 6-8, 2023, 5 p.","productDescription":"5 p.","ipdsId":"IP-148922","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":418359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418357,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=35652"}],"country":"United States","state":"California","otherGeospatial":"Geysers Steam Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.88115533829513,\n 38.78981141077904\n ],\n [\n -122.88115533829513,\n 38.66481841554048\n ],\n [\n -122.64292684707536,\n 38.66481841554048\n ],\n [\n -122.64292684707536,\n 38.78981141077904\n ],\n [\n -122.88115533829513,\n 38.78981141077904\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":875896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alumbaugh, David 0000-0002-6975-7197","orcid":"https://orcid.org/0000-0002-6975-7197","contributorId":299109,"corporation":false,"usgs":false,"family":"Alumbaugh","given":"David","email":"","affiliations":[{"id":64775,"text":"Berkeley National Lab","active":true,"usgs":false}],"preferred":false,"id":875897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael Albert 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":311096,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael Albert","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":875898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartline, Craig","contributorId":213429,"corporation":false,"usgs":false,"family":"Hartline","given":"Craig","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":875899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248778,"text":"70248778 - 2023 - Indicators of the effects of climate change on freshwater ecosystems","interactions":[],"lastModifiedDate":"2023-09-21T12:06:36.333278","indexId":"70248778","displayToPublicDate":"2023-03-01T07:03:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Indicators of the effects of climate change on freshwater ecosystems","docAbstract":"

Freshwater ecosystems, including lakes, streams, and wetlands, are responsive to climate change and other natural and anthropogenic stresses. These ecosystems are frequently hydrologically and ecologically connected with one another and their surrounding landscapes, thereby integrating changes throughout their watersheds. The responses of any given freshwater ecosystem to climate change depend on the magnitude of climate forcing, interactions with other anthropogenic and natural changes, and the characteristics of the ecosystem itself. Therefore, the magnitude and manner in which freshwater ecosystems respond to climate change are difficult to predict a priori. We present a conceptual model to elucidate how freshwater ecosystems are altered by climate change. We identify eleven indicators that describe the response of freshwater ecosystems to climate change, discuss their potential value and limitations, and describe supporting measurements. Indicators are organized in three interrelated categories: hydrologic, water quality, and ecosystem structure and function. The indicators are supported by data sets with a wide range of temporal and spatial coverage, and they inform important scientific and management needs. Together, these indicators improve the understanding and management of the effects of climate change on freshwater ecosystems.

","language":"English","publisher":"Springer","doi":"10.1007/s10584-022-03457-1","usgsCitation":"Rose, K.C., Bierwagen, B., Bridgham, S.D., Carlisle, D.M., Hawkins, C., Poff, N.L., Read, J., Rohr, J., Saros, J.E., and Williamson, C.E., 2023, Indicators of the effects of climate change on freshwater ecosystems: Climate Change, v. 176, 23, 20 p., https://doi.org/10.1007/s10584-022-03457-1.","productDescription":"23, 20 p.","ipdsId":"IP-087945","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444327,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11254324","text":"External Repository"},{"id":421018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"176","noUsgsAuthors":false,"publicationDate":"2023-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":883564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierwagen, Britta","contributorId":201420,"corporation":false,"usgs":false,"family":"Bierwagen","given":"Britta","email":"","affiliations":[],"preferred":false,"id":883565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bridgham, Scott D.","contributorId":177413,"corporation":false,"usgs":false,"family":"Bridgham","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":883566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":883567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawkins, Charles P.","contributorId":173015,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":883568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poff, N. LeRoy","contributorId":261271,"corporation":false,"usgs":false,"family":"Poff","given":"N.","email":"","middleInitial":"LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":883569,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Read, Jordan 0000-0002-3888-6631","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":221385,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":883570,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rohr, Jason","contributorId":214630,"corporation":false,"usgs":false,"family":"Rohr","given":"Jason","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":883571,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Saros, Jasmine E.","contributorId":302770,"corporation":false,"usgs":false,"family":"Saros","given":"Jasmine","email":"","middleInitial":"E.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":883572,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":883573,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70247451,"text":"70247451 - 2023 - The benefits of big-team science for conservation: Lessons learned from trinational monarch butterfly collaborations","interactions":[],"lastModifiedDate":"2025-07-23T13:08:49.47573","indexId":"70247451","displayToPublicDate":"2023-03-01T06:57:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"The benefits of big-team science for conservation: Lessons learned from trinational monarch butterfly collaborations","docAbstract":"

Many pressing conservation issues are complex problems caused by multiple social and environmental drivers; their resolution is aided by interdisciplinary teams of scientists, decision makers, and stakeholders working together. In these situations, how do we generate science to effectively guide conservation (resource management and policy) decisions? This paper describes elements of successful big-team science in conservation, as well as shortcomings and lessons learned, based on our work with the monarch butterfly (Danaus plexippus) in North America. We summarize literature on effective science teams, extracting information about elements of success, effective implementation approaches, and barriers or pitfalls. We then describe recent and ongoing conservation science for the monarch butterfly in North America. We focus primarily on the activities of the Monarch Conservation Science Partnership–an international collaboration of interdisciplinary scientists, policy experts and natural resource managers spanning government, non-governmental and academic institutions—which developed science to inform imperilment status, recovery options, and monitoring strategies. We couch these science efforts in the adaptative management framework of Strategic Habitat Conservation, the business model for conservation employed by the US Fish and Wildlife Service to inform decision-making needs identified by stakeholders from Canada, the United States, and Mexico. We conclude with elements critical to effective big-team conservation science, discuss why science teams focused on applied conservation problems are unique relative to science teams focusing on traditional or theoretical research, and list benefits of big team science in conservation.

","language":"English","publisher":"Frontiers","doi":"10.3389/fenvs.2023.1079025","usgsCitation":"Diffendorfer, J., Drum, R., Mitchell, G.W., Rendon-Salinas, E., Sánchez-Cordero, V., Semmens, D., Thogmartin, W.E., and March, I.J., 2023, The benefits of big-team science for conservation: Lessons learned from trinational monarch butterfly collaborations: Frontiers in Environmental Science, v. 11, 1079025, 16 p., https://doi.org/10.3389/fenvs.2023.1079025.","productDescription":"1079025, 16 p.","ipdsId":"IP-146632","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":419589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":444331,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2023.1079025","text":"Publisher Index Page"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":879692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drum, Ryan G.","contributorId":317901,"corporation":false,"usgs":false,"family":"Drum","given":"Ryan G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":879693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Greg W.","contributorId":317902,"corporation":false,"usgs":false,"family":"Mitchell","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":879694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rendon-Salinas, Eduardo","contributorId":317903,"corporation":false,"usgs":false,"family":"Rendon-Salinas","given":"Eduardo","email":"","affiliations":[{"id":69183,"text":"WWF Mexico","active":true,"usgs":false}],"preferred":false,"id":879695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sánchez-Cordero, Victor","contributorId":317904,"corporation":false,"usgs":false,"family":"Sánchez-Cordero","given":"Victor","affiliations":[{"id":69184,"text":"Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":879696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":879697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":879698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"March, Ignacio J.","contributorId":317905,"corporation":false,"usgs":false,"family":"March","given":"Ignacio","email":"","middleInitial":"J.","affiliations":[{"id":69185,"text":"7Comisión Nacional de Áreas Naturales Protegidas","active":true,"usgs":false}],"preferred":false,"id":879699,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70242967,"text":"70242967 - 2023 - Free long wave transformation in the nearshore zone through partial reflections","interactions":[],"lastModifiedDate":"2023-04-25T12:00:13.84428","indexId":"70242967","displayToPublicDate":"2023-03-01T06:55:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2426,"text":"Journal of Physical Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Free long wave transformation in the nearshore zone through partial reflections","docAbstract":"

Long waves play an important role in coastal inundation and shoreline and dune erosion, requiring a detailed understanding of their evolution in nearshore regions and interaction with shorelines. While their generation and dissipation mechanisms are relatively well understood, there are fewer studies describing how reflection processes govern their propagation in the nearshore. We propose a new approach, accounting for partial reflections, which leads to an analytical solution to the free wave linear shallow-water equations at the wave-group scale over general varying bathymetry. The approach, supported by numerical modeling, agrees with the classic Bessel standing solution for a plane sloping beach but extends the solution to arbitrary alongshore uniform bathymetry profiles and decomposes it into incoming and outgoing wave components, which are a combination of successively partially reflected waves lagging each other. The phase lags introduced by partial reflections modify the wave amplitude and explain why Green’s law, which describes the wave growth of free waves with decreasing depth, breaks down in very shallow water. This reveals that the wave amplitude at the shoreline is highly dependent on partial reflections. Consistent with laboratory and field observations, our analytical model predicts a reflection coefficient that increases and is highly correlated with the normalized bed slope (bed slope relative to wave frequency). Our approach shows that partial reflections occurring due to depth variations in the nearshore are responsible for the relationship between the normalized bed slope and the amplitude of long waves in the nearshore, with direct implications for determining long-wave amplitudes at the shoreline and wave runup.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JPO-D-22-0109.1","usgsCitation":"Contardo, S., Lowe, R.J., Dufois, F., Hansen, J., Buckley, M.L., and Symonds, G., 2023, Free long wave transformation in the nearshore zone through partial reflections: Journal of Physical Oceanography, v. 53, p. 661-681, https://doi.org/10.1175/JPO-D-22-0109.1.","productDescription":"21 p.","startPage":"661","endPage":"681","ipdsId":"IP-139996","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444335,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00823/93491/","text":"External Repository"},{"id":416229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Contardo, Stephanie","contributorId":298820,"corporation":false,"usgs":false,"family":"Contardo","given":"Stephanie","email":"","affiliations":[{"id":64690,"text":"The University of Western Australia and CSIRO","active":true,"usgs":false}],"preferred":false,"id":870372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":870373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dufois, Francois","contributorId":304418,"corporation":false,"usgs":false,"family":"Dufois","given":"Francois","email":"","affiliations":[{"id":66059,"text":"Pacific Community Center for Ocean Science","active":true,"usgs":false}],"preferred":false,"id":870374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Jeff E.","contributorId":298815,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":870375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":870376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Symonds, Graham","contributorId":182035,"corporation":false,"usgs":false,"family":"Symonds","given":"Graham","email":"","affiliations":[],"preferred":false,"id":870377,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}