{"pageNumber":"41","pageRowStart":"1000","pageSize":"25","recordCount":10449,"records":[{"id":70266784,"text":"70266784 - 2022 - Species distributions and the recognition of risk in restoration planning: A case study of salmonid fishes","interactions":[],"lastModifiedDate":"2025-05-14T13:26:34.543722","indexId":"70266784","displayToPublicDate":"2022-06-25T11:36:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Species distributions and the recognition of risk in restoration planning: A case study of salmonid fishes","docAbstract":"<p><span>One of the risks faced by habitat restoration practitioners is whether habitats included in restoration planning will be used by the target species or, conversely, whether habitats excluded from restoration planning would have benefited the target species. With the goal of providing a quantitative decision-making approach that represented varying levels of risk tolerance, we used multiple probability decision thresholds (PDT) to predict the range of occurrence for three anadromous fishes (</span><i>Oncorhynchus</i><span>&nbsp;spp.) in a watershed in southwestern Washington, USA. For each species, we compared the predicted range of occurrence to the distribution used for restoration planning and quantified the amount of habitat blocked by anthropogenic barriers. Coho salmon (</span><i>O. kisutch</i><span>) had the broadest predicted range of occurrence (3061.6–6357.9&nbsp;km; 0.75–0.25 PDT), followed by steelhead trout (</span><i>O. mykiss</i><span>; 1828.8–2836.8&nbsp;km) and chum salmon (</span><i>O. keta</i><span>; 1373.9–1629.1&nbsp;km). For each species, the predicted range of occurrence was similar or greater than the distribution used for restoration planning, suggesting that the current plan may exclude habitats that would benefit each species. Coho salmon had the greatest percentage of habitat blocked by anthropogenic barriers, followed by steelhead trout and chum salmon, respectively. Modeling species distributions at multiple risk-tolerance scenarios acknowledges uncertainty in restoration planning and allows practitioners to weigh the ecological benefits and budgetary constraints when considering locations for restoration. To effectively communicate restoration science to support practitioners in decision-making, we developed an R Shiny application online user interface available at:&nbsp;</span><a class=\"linkBehavior\" href=\"https://shiny.wdfw-fish.us/ChehalisRiverBasinSalmonidRangeOfOccurence/\" data-mce-href=\"https://shiny.wdfw-fish.us/ChehalisRiverBasinSalmonidRangeOfOccurence/\">https://shiny.wdfw-fish.us/ChehalisRiverBasinSalmonidRangeOfOccurence/</a><span>.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2701","usgsCitation":"Walther, E.J., Zimmerman, M.S., Falke, J.A., and Westley, P.A., 2022, Species distributions and the recognition of risk in restoration planning: A case study of salmonid fishes: Ecological Applications, v. 32, no. 8, e2701, 19 p., https://doi.org/10.1002/eap.2701.","productDescription":"e2701, 19 p.","ipdsId":"IP-128611","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488400,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/6574277","text":"External Repository"},{"id":485841,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.31462582290652,\n              47.16367632863228\n            ],\n            [\n              -124.14097393881218,\n              46.79579869451868\n            ],\n            [\n              -123.88483362600141,\n              46.651693783856416\n            ],\n            [\n              -123.23597795419923,\n              46.701853931300036\n            ],\n            [\n              -123.28154994900483,\n              46.393856749600275\n            ],\n            [\n              -123.12616728626703,\n              45.9636124965416\n            ],\n            [\n              -122.6145461794788,\n              45.84907194087441\n            ],\n            [\n              -122.25792770553518,\n              46.632856722316745\n            ],\n            [\n              -123.85738372444928,\n              47.34970602480141\n            ],\n            [\n              -124.31462582290652,\n              47.16367632863228\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Walther, Eric J.","contributorId":304288,"corporation":false,"usgs":false,"family":"Walther","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":936771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Mara S.","contributorId":152687,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Mara","email":"","middleInitial":"S.","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":936772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. H.","affiliations":[],"preferred":false,"id":936774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255205,"text":"70255205 - 2022 - Hybridization decreases native cutthroat trout reproductive fitness","interactions":[],"lastModifiedDate":"2024-06-13T15:00:22.858853","indexId":"70255205","displayToPublicDate":"2022-06-25T09:56:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization decreases native cutthroat trout reproductive fitness","docAbstract":"<p><span>Examining natural selection in wild populations is challenging, but crucial to understanding many ecological and evolutionary processes. Additionally, in hybridizing populations, natural selection may be an important determinant of the eventual outcome of hybridization. We characterized several components of relative fitness in hybridizing populations of Yellowstone cutthroat trout and rainbow trout in an effort to better understand the prolonged persistence of both parental species despite predictions of extirpation. Thousands of genomic loci enabled precise quantification of hybrid status in adult and subsequent juvenile generations; a subset of those data also identified parent–offspring relationships. We used linear models and simulations to assess the effects of ancestry on reproductive output and mate choice decisions. We found a relatively low number of late-stage (F3+) hybrids and an excess of F2 juveniles relative to the adult generation in one location, which suggests the presence of hybrid breakdown decreasing the fitness of F2+ hybrids later in life. Assessments of reproductive output showed that Yellowstone cutthroat trout are more likely to successfully reproduce and produce slightly more offspring than their rainbow trout and hybrid counterparts. Mate choice appeared to be largely random, though we did find statistical support for slight female preference for males of similar ancestry. Together, these results show that native Yellowstone cutthroat trout are able to outperform rainbow trout in terms of reproduction and suggest that management action to exclude rainbow trout from spawning locations may bolster the now-rare Yellowstone cutthroat trout.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16578","collaboration":"Wyoming Game and Fish Department","usgsCitation":"Rosenthal, W.C., Fennell, J.M., Mandeville, E., Burckhardt, J., Walters, A.W., and Wagner, C., 2022, Hybridization decreases native cutthroat trout reproductive fitness: Molecular Ecology, v. 31, no. 16, p. 4224-4241, https://doi.org/10.1111/mec.16578.","productDescription":"18 p.","startPage":"4224","endPage":"4241","ipdsId":"IP-134904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenthal, William C.","contributorId":337368,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":903732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":338996,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Catherine E.","contributorId":337377,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232289,"text":"70232289 - 2022 - Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","interactions":[],"lastModifiedDate":"2022-06-24T17:32:42.990458","indexId":"70232289","displayToPublicDate":"2022-06-24T12:28:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","docAbstract":"Acoustic energy originating from explosions, sonic booms, bolides and thunderclaps have been recorded on seismometers since the 1950s. Direct pressure loading from the passing acoustic wave has been modelled and consistently observed to produce ground deformations of the near surface that have retrograde elliptical particle motions. In the past decade, increased deployments of colocated seismometers and infrasound sensors have driven efforts to use the transfer function between direct acoustic-to-seismic coupling to infer near-surface material properties including seismic velocity structure and elastic moduli. In this study, we use a small aperture (≈600 m) array of broadband seismometers installed in different manners and depths in both granite and sedimentary overburden to understand the fundamental nature and repeatability of seismic excitation from 1 to 15 Hz using horizontally propagating acoustic waves generated by 97 local (2–10 km) explosions. In agreement with modelling, we find that the ground motions induced by acoustic-to-seismic coupling attenuate rapidly with depth. We confirm the modelled relation between acoustic and ground motion amplitudes, but show that within one acoustic wavelength, the uncertainty in the transfer coefficient between seismic and acoustic energy at a given seismic station increases linearly with separation distance between the seismic and acoustic sensor. We attribute this observation to the rapid decorrelation of the infrasonic wavefield across small spatial scales and recommend colocating seismic and infrasound sensors for use in studies seeking to invert for near-surface material properties. Additionally, contrary to acoustic-to-seismic coupling theory and prior observations, we find that seismometers emplaced in granite do not record retrograde elliptical particle motions in response to direct pressure loading. We rule out seismometer tilt effects as a likely source of this observations and suggest that existing models of acoustic-to-seismic excitation may be too simplistic for seismometers placed in high rigidity materials.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggac154","usgsCitation":"Anthony, R.E., Watzak, J., Ringler, A.T., and Wilson, D.C., 2022, Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions: Geophysical Journal International, v. 230, no. 3, p. 2019-2035, https://doi.org/10.1093/gji/ggac154.","productDescription":"17 p.","startPage":"2019","endPage":"2035","ipdsId":"IP-135891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":402481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"230","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watzak, Josh","contributorId":292554,"corporation":false,"usgs":false,"family":"Watzak","given":"Josh","email":"","affiliations":[{"id":62934,"text":"Department of Geology and Geophysics, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":845038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232280,"text":"70232280 - 2022 - Prairie grouse and wind energy: The state of the science and implications for risk assessment","interactions":[],"lastModifiedDate":"2022-08-02T14:46:33.367822","indexId":"70232280","displayToPublicDate":"2022-06-24T12:07:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Prairie grouse and wind energy: The state of the science and implications for risk assessment","docAbstract":"How to shape the anticipated build-out of industrial-scale renewable energy in a way that minimizes risk to wildlife remains contentious. This challenge is well-illustrated in the grasslands and shrub-steppe of North America. Here, several endemic species of grouse are the focus of intensive, long-term conservation action by a host of governmental and non-governmental entities, many of whom are now asking: will anticipated increases in the number of wind-energy facilities exacerbate declines or prevent recovery of these species? To help answer this question, we synthesized the potential consequences of wind-energy development on prairie grouse. Published literature on behavior or demography of prairie-grouse at wind-energy facilities is sparse, with studies having been conducted at only 5 different facilities in the United States. Only two of these studies met the standard for robust impact analysis by collecting pre-construction data and using control sites or gradient designs. Published results from only one of the species  Greater Prairie-Chicken  were available for >1 facility. Most studies also drew conclusions based on short (<4 years) periods of study, which is potentially problematic when studying these highly philopatric species. Given these caveats, we found that, in the short-term, adult survival and nest success appear largely unaffected in populations exposed to wind-energy facilities. However, changes in habitat use by female Greater Sage-Grouse and female Greater Prairie-Chicken during some seasons and reduced lek persistence among male Greater Prairie-Chickens near wind turbines suggest behavioral responses that may have demographic consequences. Prairie grouse can coexist with wind-energy facilities in some cases, at least in the short term, but important uncertainties remain, including the potential for long-term, cumulative effects of the extensive development expected as states attempt to meet goals for generating electricity from renewable sources.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1305","usgsCitation":"Lloyd, J., Aldridge, C.L., Allison, T.D., LeBeau, C.W., McNew, L.B., and Winder, V.L., 2022, Prairie grouse and wind energy: The state of the science and implications for risk assessment: Wildlife Society Bulletin, v. 46, no. 3, e1305, 15 p., https://doi.org/10.1002/wsb.1305.","productDescription":"e1305, 15 p.","ipdsId":"IP-131650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1305","text":"Publisher Index Page"},{"id":402478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.064453125,\n              61.48075950007598\n            ],\n            [\n              -141.15234374999997,\n              59.712097173322924\n            ],\n            [\n              -130.95703125,\n              57.79794388498275\n            ],\n            [\n              -119.53125,\n              37.50972584293751\n            ],\n            [\n              -95.712890625,\n              36.87962060502676\n            ],\n            [\n              -96.15234375,\n              42.4234565179383\n            ],\n            [\n              -96.767578125,\n              46.800059446787316\n            ],\n            [\n              -91.93359375,\n              46.800059446787316\n            ],\n            [\n              -87.890625,\n              48.63290858589535\n            ],\n            [\n              -84.638671875,\n              47.989921667414194\n            ],\n            [\n              -77.16796875,\n              47.39834920035926\n            ],\n            [\n              -77.6953125,\n              55.1286490684888\n            ],\n            [\n              -79.453125,\n              54.77534585936447\n            ],\n            [\n              -78.662109375,\n              51.998410382390325\n            ],\n            [\n              -79.89257812499999,\n              51.069016659603896\n            ],\n            [\n              -82.6171875,\n              52.696361078274485\n            ],\n            [\n              -82.265625,\n              55.1286490684888\n            ],\n            [\n              -84.990234375,\n              55.229023057406344\n            ],\n            [\n              -116.3671875,\n              61.438767493682825\n            ],\n            [\n              -141.064453125,\n              61.48075950007598\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lloyd, John D.","contributorId":292535,"corporation":false,"usgs":false,"family":"Lloyd","given":"John D.","affiliations":[{"id":62931,"text":"Prairie Grouse and Wind Energy: The State of the Science And Implications for Risk Assessment","active":true,"usgs":false}],"preferred":false,"id":844994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":844995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, Taber D.","contributorId":292536,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","email":"","middleInitial":"D.","affiliations":[{"id":39329,"text":"American Wind Wildlife Institute","active":true,"usgs":false}],"preferred":false,"id":844996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBeau, Chad W.","contributorId":292537,"corporation":false,"usgs":false,"family":"LeBeau","given":"Chad","email":"","middleInitial":"W.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":844997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":844998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winder, Virginia L. 0000-0002-5756-3993","orcid":"https://orcid.org/0000-0002-5756-3993","contributorId":245355,"corporation":false,"usgs":false,"family":"Winder","given":"Virginia","email":"","middleInitial":"L.","affiliations":[{"id":49158,"text":"Department of Biology, Benedictine College, Atchison, KS, 66002 USA, vwinder@benedictine.edu","active":true,"usgs":false}],"preferred":false,"id":844999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231865,"text":"70231865 - 2022 - Wading bird foraging on a wetland landscape: A comparison of two strategies","interactions":[],"lastModifiedDate":"2022-06-01T13:30:54.834529","indexId":"70231865","displayToPublicDate":"2022-06-24T08:28:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2699,"text":"Mathematical Biosciences and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Wading bird foraging on a wetland landscape: A comparison of two strategies","docAbstract":"<p><span>Tactile-feeding wading birds, such as wood storks and white ibises, require high densities of prey such as small fishes and crayfish to support themselves and their offspring during the breeding season. Prey availability in wetlands is often determined by seasonal hydrologic pulsing, such as in the subtropical Everglades, where spatial distributions of prey can vary through time, becoming heterogeneously clumped in patches, such as ponds or sloughs, as the wetland dries out. In this mathematical modeling study, we selected two possible foraging strategies to examine how they impact total energetic intake over a time scale of one day. In the first, wading birds sample prey patches without a priori knowledge of the patches' prey densities, moving from patch to patch, staying long enough to estimate the prey density, until they find one that meets a predetermined satisfactory threshold, and then staying there for a longer period. For this case, we solve for a wading bird's expected prey intake over the course of a day, given varying theoretical probability distributions of patch prey densities across the landscape. In the second strategy considered, it is assumed that the wading bird samples a given number of patches, and then uses memory to return to the highest quality patch. Our results show how total intake over a day is impacted by assumptions of the parameters governing the spatial distribution of prey among patches, which is a key source of parameter uncertainty in both natural and managed ecosystems. Perhaps surprisingly, the foraging strategy that uses a prey density threshold generally led to higher maximum potential prey intake than the strategy for using memory to return to the best patch sampled. These results will contribute to understanding the foraging of wading birds and to the management of wetlands.</span></p>","language":"English","publisher":"AIMS Press","doi":"10.3934/mbe.2022361","usgsCitation":"Lee, H.W., DeAngelis, D.L., Yurek, S., and Tennenbaum, S., 2022, Wading bird foraging on a wetland landscape: A comparison of two strategies: Mathematical Biosciences and Engineering, v. 19, no. 8, p. 7687-7718, https://doi.org/10.3934/mbe.2022361.","productDescription":"32 p.","startPage":"7687","endPage":"7718","ipdsId":"IP-138910","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/mbe.2022361","text":"Publisher Index Page"},{"id":401534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":844004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":844005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennenbaum, Stephen","contributorId":292180,"corporation":false,"usgs":false,"family":"Tennenbaum","given":"Stephen","email":"","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":844006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266740,"text":"70266740 - 2022 - Cryptic population decrease due to invasive species predation in a long-lived seabird supports need for eradication","interactions":[],"lastModifiedDate":"2025-05-12T14:55:29.381762","indexId":"70266740","displayToPublicDate":"2022-06-18T09:44:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic population decrease due to invasive species predation in a long-lived seabird supports need for eradication","docAbstract":"<ol class=\"\"><li>Invasive species are one of the greatest drivers of biodiversity loss worldwide, and the eradication of invasive species from islands is a highly efficient management strategy. Because eradication operations require large financial investments, uncertainty over the magnitude of impacts of both invasive species and their removal can impede the willingness of decision makers to invest in eradication. Such uncertainty is prevalent for long-lived species that display an inherent lag between life stages affected by invasive species and those used for population status assessments.</li><li>Albatrosses are amongst the longest-living bird species and are threatened on land by invasive species and at sea by industrial fisheries. As in many seabird species, usually only a segment of the population (breeding adults) is used for status assessments, making it difficult to assess albatross population trends and the potential benefit of conservation action, such as the management of predatory invasive species.</li><li>We used population monitoring and mark-recapture data to estimate the past population trajectory of the critically endangered Tristan albatross<span>&nbsp;</span><i>Diomedea dabbenena</i><span>&nbsp;</span>by accounting for unobservable birds at sea in an integrated population model. We then projected the future population trajectory of Tristan albatrosses for scenarios with or without predation by invasive house mice<span>&nbsp;</span><i>Mus musculus</i><span>&nbsp;</span>on their main breeding site, Gough Island.</li><li>The adult breeding population remained stable between 2004 and 2021, but breeding success was low (31%) and our model indicated that the total population (including unobservable immature birds) decreased from a median estimate of 9,795 to 7,752 birds. Eradicating invasive mice leading to a two-fold increase in breeding success would result in a 1.8–7.6 times higher albatross population by 2050 (median estimate 10,352 individuals) than without this intervention.</li><li>Low reproductive output for long-lived species may lead to a cryptic population decrease, which can be obscured from readily available counts of breeding pairs by changes in the population structure. Mouse eradication is necessary to halt the ongoing population decrease of the Tristan albatross, even if this decrease is not yet apparent in the breeding population size.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14218","usgsCitation":"Oppel, S., Clark, B.L., Risi, M., Horswill, C., Converse, S.J., Jones, C.W., Osborne, A., Stevens, K., Perold, V., Bond, A.L., Wanless, R.M., Cuthbert, R., Cooper, J., and Ryan, P.G., 2022, Cryptic population decrease due to invasive species predation in a long-lived seabird supports need for eradication: Journal of Applied Ecology, v. 59, no. 8, p. 2059-2070, https://doi.org/10.1111/1365-2664.14218.","productDescription":"12 p.","startPage":"2059","endPage":"2070","ipdsId":"IP-134882","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488388,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10141/623011","text":"External Repository"},{"id":485712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Territory of Tristan da Cunha","otherGeospatial":"Gough Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -10.025381296351071,\n              -40.242220157724304\n            ],\n            [\n              -10.025381296351071,\n              -40.394552468602285\n            ],\n            [\n              -9.864053129075444,\n              -40.394552468602285\n            ],\n            [\n              -9.864053129075444,\n              -40.242220157724304\n            ],\n            [\n              -10.025381296351071,\n              -40.242220157724304\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Oppel, Steffen 0000-0002-8220-3789","orcid":"https://orcid.org/0000-0002-8220-3789","contributorId":216431,"corporation":false,"usgs":false,"family":"Oppel","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":936639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Bethany L. 0000-0001-5803-7744","orcid":"https://orcid.org/0000-0001-5803-7744","contributorId":317087,"corporation":false,"usgs":false,"family":"Clark","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":37309,"text":"BirdLife International","active":true,"usgs":false}],"preferred":false,"id":936640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Risi, Michelle M.","contributorId":354910,"corporation":false,"usgs":false,"family":"Risi","given":"Michelle M.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":936641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horswill, Catharine","contributorId":354912,"corporation":false,"usgs":false,"family":"Horswill","given":"Catharine","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":936642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Christopher W. 0000-0002-4112-1912 chrisj@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-1912","contributorId":317145,"corporation":false,"usgs":false,"family":"Jones","given":"Christopher","email":"chrisj@usgs.gov","middleInitial":"W.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":936644,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osborne, Alexis M.","contributorId":354916,"corporation":false,"usgs":false,"family":"Osborne","given":"Alexis M.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":936645,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stevens, Kim","contributorId":354918,"corporation":false,"usgs":false,"family":"Stevens","given":"Kim","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":936646,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perold, Vonica","contributorId":354920,"corporation":false,"usgs":false,"family":"Perold","given":"Vonica","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":936647,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bond, Alexander L.","contributorId":202224,"corporation":false,"usgs":false,"family":"Bond","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":36373,"text":"Ardenna Research","active":true,"usgs":false}],"preferred":false,"id":936648,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wanless, Ross M. 0000-0002-4593-7775","orcid":"https://orcid.org/0000-0002-4593-7775","contributorId":198409,"corporation":false,"usgs":false,"family":"Wanless","given":"Ross","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":936700,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cuthbert, Richard","contributorId":255194,"corporation":false,"usgs":false,"family":"Cuthbert","given":"Richard","email":"","affiliations":[{"id":51469,"text":"World Land Trust, Blyth House, Bridge Street, Halesworth, Suffolk IP19 8AB, UK","active":true,"usgs":false}],"preferred":false,"id":936701,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooper, John","contributorId":354950,"corporation":false,"usgs":false,"family":"Cooper","given":"John","affiliations":[{"id":68950,"text":"FitzPatrick Institute of African Ornithology","active":true,"usgs":false}],"preferred":false,"id":936702,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ryan, Peter G. 0000-0002-3356-2056","orcid":"https://orcid.org/0000-0002-3356-2056","contributorId":149037,"corporation":false,"usgs":false,"family":"Ryan","given":"Peter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":936703,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70232249,"text":"70232249 - 2022 - Primary production responses to extreme changes in North American Monsoon precipitation vary by elevation and plant functional composition through time","interactions":[],"lastModifiedDate":"2022-09-15T14:09:45.245412","indexId":"70232249","displayToPublicDate":"2022-06-17T09:17:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Primary production responses to extreme changes in North American Monsoon precipitation vary by elevation and plant functional composition through time","docAbstract":"<ol class=\"\"><li>Primary production in dryland ecosystems is limited by water availability and projected to be strongly affected by future shifts in seasonal precipitation. Warm-season precipitation derived from the North American Monsoon contributes 40% of annual precipitation to dryland ecosystems in the southwestern U.S. and is projected to become more variable. However, there is large uncertainty on whether this variability will be expressed as either extreme wet or dry years and how primary production of different plant functional types will respond across widespread elevation gradients in this region.</li><li>We experimentally imposed extreme drought and water addition treatments from 2016 – 2020, during which ambient warm-season precipitation declined to reach historic lows, to understand production sensitivity of dominant plant functional types along a 1,000 m elevation gradient.</li><li>We found that the production responses of plant functional types to monsoon precipitation extremes were dependent on the number of treatment years that occurred across sites along the elevation gradient. C<sub>4</sub><span>&nbsp;</span>perennial grasses were most responsive to precipitation manipulation treatments, followed by C<sub>3</sub><span>&nbsp;</span>perennial grasses and annuals, while perennial forbs and shrubs had weak or no responses. C<sub>4</sub><span>&nbsp;</span>perennial grass reductions due to extreme drought were generally stronger or occurred earlier at low elevation sites, while multi-year extreme drought extended negative effects to C<sub>3</sub><span>&nbsp;</span>perennial grasses at high elevation, and all sites showed delayed responses to multi-year water addition. We found that the sensitivity of C<sub>3</sub><span>&nbsp;</span>perennial grass production differed for extreme drought and water addition compared to ambient precipitation at one site, but other sites and plant functional types had similar sensitivities to the different treatment types.</li><li><i>Synthesis</i>. The upward advance of primary production responsiveness from single- to multi-year extreme changes in warm-season precipitation suggests more immediate shifts in functional composition and carbon cycling at low elevation, while high elevation ecosystems may become less resistant as the effects of extreme precipitation compound through time.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13947","usgsCitation":"Munson, S.M., Bradford, J., Butterfield, B.J., and Gremer, J., 2022, Primary production responses to extreme changes in North American Monsoon precipitation vary by elevation and plant functional composition through time: Journal of Ecology, v. 110, no. 9, p. 2232-2245, https://doi.org/10.1111/1365-2745.13947.","productDescription":"14 p.","startPage":"2232","endPage":"2245","ipdsId":"IP-134154","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":402327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Francisco Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.15118408203125,\n              35.20186696142873\n            ],\n            [\n              -111.22421264648438,\n              35.20186696142873\n            ],\n            [\n              -111.22421264648438,\n              35.68295607559029\n            ],\n            [\n              -112.15118408203125,\n              35.68295607559029\n            ],\n            [\n              -112.15118408203125,\n              35.20186696142873\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":844801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":844802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":844803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gremer, Jennifer R.","contributorId":181751,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer R.","affiliations":[],"preferred":false,"id":844804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70232417,"text":"70232417 - 2022 - The consequences of climate change for dryland biogeochemistry","interactions":[],"lastModifiedDate":"2022-09-15T14:13:41.119439","indexId":"70232417","displayToPublicDate":"2022-06-15T07:20:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10948,"text":"New Phytologist Foundation","active":true,"publicationSubtype":{"id":10}},"title":"The consequences of climate change for dryland biogeochemistry","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Drylands, which cover more than 40% of Earth’s terrestrial surface, are dominant drivers of global biogeochemical cycling and home to more than one third of the human population. Climate projections predict warming, drought frequency and severity, and evaporative demand will increase in drylands at faster rates than global means. Due to extreme temperatures and high biological dependency on limited water availability, drylands are predicted to be exceptionally sensitive to climate change and, indeed, significant climate impacts are already being observed. Yet our understanding and ability to forecast climate change effects on dryland biogeochemistry and ecosystem functions lag behind many mesic systems. To improve our capacity to forecast ecosystem change, we propose focusing on the controls and consequences of two key characteristics affecting dryland biogeochemistry: i) high spatial and temporal heterogeneity in environmental conditions and ii) generalized resource scarcity. In addition to climate change, drylands are experiencing accelerating land use change. Building our understanding of dryland biogeochemistry in both intact and disturbed systems will better equip us to address the interacting effects of climate change and landscape degradation. Responding to these challenges will require a diverse, globally distributed, and interdisciplinary community of dryland experts united towards better understanding these vast and important ecosystems.</p></div></div></div></div>","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.18312","usgsCitation":"Osborne, B.B., Bestelmeyer, B.T., Currier, C.M., Homyak, P.M., Throop, H.L., Young, K., and Reed, S., 2022, The consequences of climate change for dryland biogeochemistry: New Phytologist Foundation, v. 236, no. 1, p. 15-20, https://doi.org/10.1111/nph.18312.","productDescription":"6 p.","startPage":"15","endPage":"20","ipdsId":"IP-136307","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.18312","text":"Publisher Index Page"},{"id":402816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"236","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Brooke Bossert 0000-0003-4771-7677","orcid":"https://orcid.org/0000-0003-4771-7677","contributorId":247600,"corporation":false,"usgs":true,"family":"Osborne","given":"Brooke","email":"","middleInitial":"Bossert","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bestelmeyer, Brandon T.","contributorId":26180,"corporation":false,"usgs":false,"family":"Bestelmeyer","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":845479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Currier, Courtney M.","contributorId":214702,"corporation":false,"usgs":false,"family":"Currier","given":"Courtney","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":845480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homyak, Peter M 0000-0003-0671-8358","orcid":"https://orcid.org/0000-0003-0671-8358","contributorId":292686,"corporation":false,"usgs":false,"family":"Homyak","given":"Peter","email":"","middleInitial":"M","affiliations":[{"id":62973,"text":"Department of Environmental Sciences, University of California, Riverside, CA 92521","active":true,"usgs":false}],"preferred":false,"id":845481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":845482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":845483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845484,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232205,"text":"70232205 - 2022 - A haploid pseudo-chromosome genome assembly for a keystone sagebrush species of western North American rangelands","interactions":[],"lastModifiedDate":"2022-07-08T13:51:45.839294","indexId":"70232205","displayToPublicDate":"2022-06-13T11:17:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10934,"text":"G3 Genes, Genomes, Genetics","active":true,"publicationSubtype":{"id":10}},"title":"A haploid pseudo-chromosome genome assembly for a keystone sagebrush species of western North American rangelands","docAbstract":"<p class=\"chapter-para\">Increased ecological disturbances, species invasions, and climate change are creating severe conservation problems for several plant species that are widespread and foundational. Understanding the genetic diversity of these species and how it relates to adaptation to these stressors are necessary for guiding conservation and restoration efforts. This need is particularly acute for big sagebrush (<i>Artemisia tridentata</i>; Asteraceae), which was once the dominant shrub over 1,000,000 km<sup>2</sup><span>&nbsp;</span>in western North America but has since retracted by half and thus has become the target of one of the largest restoration seeding efforts globally. Here, we present the first reference-quality genome assembly for an ecologically important subspecies of big sagebrush (<i>A. tridentata</i><span>&nbsp;</span>subsp.<span>&nbsp;</span><i>tridentata</i>) based on short and long reads, as well as chromatin proximity ligation data analyzed using the HiRise pipeline. The final 4.2-Gb assembly consists of 5,492 scaffolds, with nine pseudo-chromosomal scaffolds (nine scaffolds comprising at least 90% of the assembled genome;<span>&nbsp;</span><i>n </i>=<i> </i>9). The assembly contains an estimated 43,377 genes based on<span>&nbsp;</span><i>ab initio</i><span>&nbsp;</span>gene discovery and transcriptional data analyzed using the MAKER pipeline, with 91.37% of BUSCOs being completely assembled. The final assembly was highly repetitive, with repeat elements comprising 77.99% of the genome, making the<span>&nbsp;</span><i>Artemisia tridentata</i><span>&nbsp;</span>subsp.<span>&nbsp;</span><i>tridentata</i><span>&nbsp;</span>genome one of the most highly repetitive plant genomes to be sequenced and assembled. This genome assembly advances studies on plant adaptation to drought and heat stress and provides a valuable tool for future genomic research.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/g3journal/jkac122","usgsCitation":"Melton, A.E., Child, A.W., Beard, R.S., Dumaguit, C.D., Forbey, J.S., Germino, M., de Graaff, M., Kliskey, A., Leitch, I.J., Martinez, P., Novak, S.J., Pellicer, J., Richardson, B., Self, D., Serpe, M.D., and Buerki, S., 2022, A haploid pseudo-chromosome genome assembly for a keystone sagebrush species of western North American rangelands: G3 Genes, Genomes, Genetics, v. 12, no. 7, jkac122, 9 p., https://doi.org/10.1093/g3journal/jkac122.","productDescription":"jkac122, 9 p.","ipdsId":"IP-138937","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":447434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/g3journal/jkac122","text":"Publisher Index Page"},{"id":402105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.28906250000001,\n              35.817813158696616\n            ],\n            [\n              -103.3154296875,\n              35.817813158696616\n            ],\n            [\n              -103.3154296875,\n              48.980216985374994\n            ],\n            [\n              -121.28906250000001,\n              48.980216985374994\n            ],\n            [\n              -121.28906250000001,\n              35.817813158696616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Melton, Anthony E.","contributorId":292452,"corporation":false,"usgs":false,"family":"Melton","given":"Anthony","email":"","middleInitial":"E.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Child, Andrew W.","contributorId":292453,"corporation":false,"usgs":false,"family":"Child","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":844627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Richard S. Jr.","contributorId":292454,"corporation":false,"usgs":false,"family":"Beard","given":"Richard","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dumaguit, Carlos Dave C.","contributorId":292455,"corporation":false,"usgs":false,"family":"Dumaguit","given":"Carlos","email":"","middleInitial":"Dave C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forbey, Jennifer S.","contributorId":194442,"corporation":false,"usgs":false,"family":"Forbey","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":844630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"de Graaff, Marie-Anne","contributorId":195121,"corporation":false,"usgs":false,"family":"de Graaff","given":"Marie-Anne","email":"","affiliations":[],"preferred":false,"id":844631,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kliskey, Andrew","contributorId":189256,"corporation":false,"usgs":false,"family":"Kliskey","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":844632,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leitch, Ilia J.","contributorId":292456,"corporation":false,"usgs":false,"family":"Leitch","given":"Ilia","email":"","middleInitial":"J.","affiliations":[{"id":48590,"text":"Royal Botanic Gardens","active":true,"usgs":false}],"preferred":false,"id":844633,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martinez, Peggy","contributorId":292457,"corporation":false,"usgs":false,"family":"Martinez","given":"Peggy","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844634,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Novak, Stephen J.","contributorId":208249,"corporation":false,"usgs":false,"family":"Novak","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844635,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pellicer, Jaume","contributorId":292458,"corporation":false,"usgs":false,"family":"Pellicer","given":"Jaume","email":"","affiliations":[{"id":48590,"text":"Royal Botanic Gardens","active":true,"usgs":false}],"preferred":false,"id":844636,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Richardson, Bryce A.","contributorId":37249,"corporation":false,"usgs":true,"family":"Richardson","given":"Bryce A.","affiliations":[],"preferred":false,"id":844637,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Self, Desiree","contributorId":292461,"corporation":false,"usgs":false,"family":"Self","given":"Desiree","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844638,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Serpe, Marcelo D.","contributorId":257074,"corporation":false,"usgs":false,"family":"Serpe","given":"Marcelo","email":"","middleInitial":"D.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844639,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Buerki, Sven","contributorId":257075,"corporation":false,"usgs":false,"family":"Buerki","given":"Sven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844640,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70232196,"text":"70232196 - 2022 - Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data","interactions":[],"lastModifiedDate":"2022-06-13T15:44:24.981546","indexId":"70232196","displayToPublicDate":"2022-06-13T10:31:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0090\"><span>Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with&nbsp;harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via&nbsp;remote sensing. Although concentrations of chlorophyll-</span><i>a</i><span>&nbsp;and key pigments like phycocyanin are routinely estimated from satellite images and used to infer algal or cyanobacterial cell counts, current methods are unable to provide information on the taxonomic composition of a bloom. This study introduced a new approach capable of differentiating among genera based on their reflectance characteristics:&nbsp;Spectral Mixture Analysis&nbsp;for Surveillance of HABs, or SMASH. The foundation of SMASH is a multiple endmember spectral mixture analysis (MESMA) algorithm that takes a library of cyanobacteria endmembers and a hyperspectral image as input and estimates the fractional abundance of each genus, plus water, on a per-pixel basis. Importantly, we assume that the water column consists of only pure water and cyanobacteria, implying that our linear&nbsp;spectral unmixing&nbsp;models do not account for other optically active constituents such as&nbsp;suspended sediment&nbsp;and colored dissolved organic matter (CDOM). We used reflectance spectra for 12 genera measured under a microscope to populate an algal spectral library and applied the SMASH workflow to satellite images from four waterbodies across the United States. Normalized spectral separability scores indicated that the 12 genera were distinct from one another and the MESMA algorithm reproduced known input fractions for simulated mixtures that included all pairwise combinations of genera and water. We used Upper Klamath Lake as an example to illustrate data products generated via SMASH: maps of the normalized difference chlorophyll index and cyanobacterial index, a MESMA-based classification of algal genera, fraction images for each endmember, and a&nbsp;root mean square error&nbsp;(RMSE) image that summarizes uncertainty. For Upper Klamath Lake, these outputs highlighted a complex algal bloom featuring several genera, primarily&nbsp;</span><i>Aphanizomenon</i><span>, and intricate spatial patterns associated with&nbsp;gyres. The maximum RMSE constraint imposed on the MESMA algorithm provided a means of avoiding false positive detection of genera not present in a waterbody but must not be set so low as to leave much of an image unclassified in cases where genera included in the library are present. Comparison of endmember fractions with relative biovolumes calculated from field samples indicated that taxonomic information from SMASH was consistent with field observations. For example, the algorithm successfully identified&nbsp;</span><span><i>Microcystis</i></span><span>&nbsp;</span>in Owasco Lake but avoided misclassifying<span>&nbsp;</span><i>Asterionella</i>, a genus not yet included in our library, in Detroit Lake. This proof-of-concept investigation demonstrates the potential of SMASH to enhance our understanding of algal blooms, particularly with respect to their spatial and temporal dynamics.</p></div></div><div id=\"ab4005\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2022.113089","usgsCitation":"Legleiter, C.J., King, T.V., Carpenter, K.D., Hall, N., Mumford, A.C., Slonecker, E.T., Graham, J.L., Stengel, V.G., Simon, N., and Rosen, B.H., 2022, Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data: Remote Sensing of Environment, v. 279, 113089, 19 p., https://doi.org/10.1016/j.rse.2022.113089.","productDescription":"113089, 19 p.","ipdsId":"IP-135126","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":447447,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2022.113089","text":"Publisher Index Page"},{"id":435804,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P928658I","text":"USGS data release","linkHelpText":"SAS: Software Application for SMASH (Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms)"},{"id":402090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Oregon, Texas","city":"Dallas, Forth Worth","otherGeospatial":"Detroit Lake, Finger Lakes, Grapevine Lake, Owasco Lake, Santiam River, Trinity River Basin, Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.47239685058594,\n              42.75306280054229\n            ],\n            [\n              -76.46106719970703,\n              42.75432327356435\n            ],\n            [\n              -76.45557403564453,\n              42.757852461640255\n            ],\n            [\n              -76.4651870727539,\n              42.76894288709011\n            ],\n            [\n              -76.4651870727539,\n              42.773983333253135\n            ],\n            [\n              -76.47754669189453,\n              42.789858057442935\n            ],\n            [\n              -76.48372650146484,\n              42.79766793544103\n            ],\n            [\n              -76.49574279785156,\n              42.815047674007005\n            ],\n            [\n              -76.50157928466795,\n              42.83368138733589\n            ],\n            [\n              -76.5029525756836,\n              42.85054760733957\n            ],\n            [\n              -76.50501251220703,\n              42.86187308074834\n            ],\n            [\n              -76.51084899902344,\n              42.86338298693097\n            ],\n            [\n              -76.51084899902344,\n              42.866402688514626\n            ],\n            [\n              -76.50810241699219,\n              42.871938424448466\n            ],\n            [\n              -76.51599884033203,\n              42.88401467044253\n            ],\n            [\n              -76.51840209960938,\n              42.892567248047264\n            ],\n            [\n              -76.52355194091797,\n              42.89533400455657\n            ],\n            [\n              -76.5256118774414,\n              42.902124607912754\n            ],\n            [\n              -76.53728485107422,\n              42.90614831626671\n            ],\n            [\n              -76.54655456542969,\n              42.905896842188575\n            ],\n            [\n              -76.55376434326172,\n              42.89206418807337\n            ],\n            [\n              -76.5472412109375,\n              42.884769357343494\n            ],\n            [\n              -76.54621124267578,\n              42.878480017739044\n            ],\n            [\n              -76.53694152832031,\n              42.868164112891925\n            ],\n            [\n              -76.53350830078125,\n              42.85985981506279\n            ],\n            [\n              -76.53350830078125,\n              42.853316248207115\n            ],\n            [\n              -76.5201187133789,\n              42.811773603829344\n            ],\n            [\n              -76.4926528930664,\n              42.77977933922529\n            ],\n            [\n              -76.47239685058594,\n              42.75306280054229\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.05562591552734,\n              32.94991103685064\n            ],\n            [\n              -97.05390930175781,\n              32.963162553495565\n            ],\n            [\n              -97.05699920654297,\n              32.97900414966346\n            ],\n            [\n              -97.06558227539062,\n              32.98390006815713\n            ],\n            [\n              -97.07107543945312,\n              32.99369109062016\n            ],\n            [\n              -97.0803451538086,\n              33.00060174664655\n            ],\n            [\n              -97.09579467773438,\n              33.005784383464956\n            ],\n            [\n              -97.09819793701172,\n              33.01586086117497\n            ],\n            [\n              -97.11021423339844,\n              33.01845176934683\n            ],\n            [\n              -97.1146774291992,\n              33.00923930552006\n            ],\n            [\n              -97.13047027587889,\n              33.01873964333289\n            ],\n            [\n              -97.1414566040039,\n              33.026799733303214\n            ],\n            [\n              -97.1469497680664,\n              33.025648337000426\n            ],\n            [\n              -97.14832305908203,\n              33.022769780439816\n            ],\n            [\n              -97.15415954589842,\n              33.02910248078485\n            ],\n            [\n              -97.16892242431639,\n              33.03601036221872\n            ],\n            [\n              -97.18059539794922,\n              33.04349328929977\n            ],\n            [\n              -97.18574523925781,\n              33.041766516389885\n            ],\n            [\n              -97.18952178955078,\n              33.03399561940715\n            ],\n            [\n              -97.18780517578125,\n              33.03082950191153\n            ],\n            [\n              -97.17647552490234,\n              33.01586086117497\n            ],\n            [\n              -97.16548919677734,\n              33.00607229880507\n            ],\n            [\n              -97.14763641357422,\n              33.00175347002964\n            ],\n            [\n              -97.14385986328125,\n              32.98591595568306\n            ],\n            [\n              -97.12600708007812,\n              32.98390006815713\n            ],\n            [\n              -97.11742401123047,\n              32.972379827826224\n            ],\n            [\n              -97.10540771484375,\n              32.95970582767932\n            ],\n            [\n              -97.08343505859374,\n              32.95192770016952\n            ],\n            [\n              -97.06317901611328,\n              32.94501323438982\n            ],\n            [\n              -97.05802917480469,\n              32.943860770847614\n            ],\n            [\n              -97.05562591552734,\n              32.94991103685064\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.78344726562499,\n              42.238685347536496\n            ],\n            [\n              -121.82052612304688,\n              42.28340504748081\n            ],\n            [\n              -121.81228637695312,\n              42.33316920061985\n            ],\n            [\n              -121.82052612304688,\n              42.34433533786168\n            ],\n            [\n              -121.80816650390625,\n              42.387965757279154\n            ],\n            [\n              -121.86996459960938,\n              42.45284793716157\n            ],\n            [\n              -121.89193725585936,\n              42.45791402988027\n            ],\n            [\n              -121.91802978515625,\n              42.495390378152244\n            ],\n            [\n              -122.01690673828124,\n              42.51158941527828\n            ],\n            [\n              -122.09243774414062,\n              42.49640294093705\n            ],\n            [\n              -122.10479736328125,\n              42.46399280017058\n            ],\n            [\n              -122.01004028320312,\n              42.36869093640926\n            ],\n            [\n              -121.98669433593749,\n              42.382894009614034\n            ],\n            [\n              -121.97845458984375,\n              42.371734722510496\n            ],\n            [\n              -121.9482421875,\n              42.38390839192567\n            ],\n            [\n              -121.91390991210938,\n              42.35854391749705\n            ],\n            [\n              -121.95922851562501,\n              42.34433533786168\n            ],\n            [\n              -121.93588256835938,\n              42.26917949243506\n            ],\n            [\n              -121.90704345703124,\n              42.29864315010169\n            ],\n            [\n              -121.86447143554686,\n              42.26003279710112\n            ],\n            [\n              -121.83837890625,\n              42.22139878761366\n            ],\n            [\n              -121.79855346679686,\n              42.216313604344776\n            ],\n            [\n              -121.78344726562499,\n              42.238685347536496\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.17586517333984,\n              44.674512553303565\n            ],\n            [\n              -122.19612121582031,\n              44.691355836165314\n            ],\n            [\n              -122.16247558593751,\n              44.70770622183535\n            ],\n            [\n              -122.14771270751953,\n              44.71697752292504\n            ],\n            [\n              -122.1463394165039,\n              44.722100499490004\n            ],\n            [\n              -122.13775634765625,\n              44.72088078430762\n            ],\n            [\n              -122.12059020996094,\n              44.706974213755934\n            ],\n            [\n              -122.11063385009766,\n              44.7120980759138\n            ],\n            [\n              -122.14324951171874,\n              44.73283288429979\n            ],\n            [\n              -122.14805603027344,\n              44.7384422020289\n            ],\n            [\n              -122.12882995605467,\n              44.75087831346909\n            ],\n            [\n              -122.13157653808594,\n              44.75453548416007\n            ],\n            [\n              -122.15938568115234,\n              44.746245565030684\n            ],\n            [\n              -122.18582153320312,\n              44.728442603926126\n            ],\n            [\n              -122.20230102539062,\n              44.70990219053132\n            ],\n            [\n              -122.20230102539062,\n              44.70599818858353\n            ],\n            [\n              -122.2177505493164,\n              44.70111781586719\n            ],\n            [\n              -122.22770690917969,\n              44.70429010493226\n            ],\n            [\n              -122.22976684570312,\n              44.71136612337669\n            ],\n            [\n              -122.23834991455078,\n              44.71746544499776\n            ],\n            [\n              -122.24178314208983,\n              44.722100499490004\n            ],\n            [\n              -122.25036621093749,\n              44.72527163862197\n            ],\n            [\n              -122.25311279296874,\n              44.72088078430762\n            ],\n            [\n              -122.25448608398436,\n              44.71380592916737\n            ],\n            [\n              -122.26409912109375,\n              44.68427737181225\n            ],\n            [\n              -122.23491668701172,\n              44.692576173626684\n            ],\n            [\n              -122.20916748046876,\n              44.686718319301704\n            ],\n            [\n              -122.20058441162111,\n              44.66816453877847\n            ],\n            [\n              -122.17929840087889,\n              44.67011784807231\n            ],\n            [\n              -122.17586517333984,\n              44.674512553303565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":844534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Natalie Celeste 0000-0002-6448-162X","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":245015,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie Celeste","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":844537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":844538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503 tslonecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":168591,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"tslonecker@usgs.gov","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":844539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simon, Nancy 0000-0003-2706-7611","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":202480,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":844542,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":844543,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70232210,"text":"70232210 - 2022 - Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017","interactions":[],"lastModifiedDate":"2023-11-08T16:39:55.964497","indexId":"70232210","displayToPublicDate":"2022-06-13T09:23:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8118,"text":"GIScience & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017","docAbstract":"Forest covers about one-third of the land area of the conterminous United States (CONUS) and plays an important role in offsetting carbon emissions and supporting local economies. Growing interest in forests as relatively cost-effective nature-based climate solutions, particularly restoration and reforestation activities, has increased the demand for information on forest regrowth and recovery following natural and anthropogenic disturbances (e.g., fire, harvest, or thinning). However, a wall-to-wall mapping of the CONUS tree regrowth duration at an annual time interval and 30-m resolution is still challenging. In this study, we utilized the annual land cover products to develop a dataset to quantify forest regrowth duration for CONUS over 1985–2017. The land cover data used to derive the tree regrowth duration map is from the primary land cover product in the U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) collection. The LCMAP product used all available Landsat images to detect disturbances over forest and classify Grass/Shrub to Tree Cover transitions on an annual basis. The average regrowth duration was then calculated for each pixel. The regrowth duration map was validated using human interpreted annual reference data that were collected independently. The validation results show one-year of underestimation and 6-year standard deviation of error between the reference data and regrowth duration map. In southeastern CONUS, where major tree regrowth activities have been observed, our map showed higher accuracy with less than one-year bias and 3.6 years standard deviation of error. Forest in the southeast took around 5 years to recover, which was faster than other regions of CONUS. Many pixels had multiple disturbances during the 33-year study period in the region. The spatial pattern of the tree regrowth indicated intense harvesting activities in this region. The Pacific Northwest coast region was the second main area of tree regrowth, but this region often took multiple decades to recover. Given increasing interest in forests as nature-based climate solutions, the tree regrowth duration map can be used to assess reforestation activities as well as forest recovery following natural disturbance and harvesting.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2022.2083790","usgsCitation":"Zhou, Q., Xian, G.Z., Horton, J., Wellington, D., Domke, G., Auch, R.F., Li, C., and Zhu, Z., 2022, Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017: GIScience & Remote Sensing, v. 59, no. 1, p. 959-974, https://doi.org/10.1080/15481603.2022.2083790.","productDescription":"16 p.","startPage":"959","endPage":"974","ipdsId":"IP-131173","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":447450,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15481603.2022.2083790","text":"Publisher Index Page"},{"id":402151,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":265886,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":54817,"text":"AFDS, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":844650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":844651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Josephine 0000-0001-8436-4095","orcid":"https://orcid.org/0000-0001-8436-4095","contributorId":191430,"corporation":false,"usgs":false,"family":"Horton","given":"Josephine","affiliations":[],"preferred":false,"id":844652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":844653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Domke, Grant 0000-0003-0485-0355","orcid":"https://orcid.org/0000-0003-0485-0355","contributorId":212157,"corporation":false,"usgs":false,"family":"Domke","given":"Grant","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":844654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":844655,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Congcong 0000-0002-4311-4169","orcid":"https://orcid.org/0000-0002-4311-4169","contributorId":270142,"corporation":false,"usgs":false,"family":"Li","given":"Congcong","email":"","affiliations":[{"id":52693,"text":"ASRC Federal","active":true,"usgs":false}],"preferred":false,"id":844656,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhu, Zhe 0000-0001-8283-6407","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":190828,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[],"preferred":false,"id":844657,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70262376,"text":"70262376 - 2022 - The need to step-up monitoring of Asian bears","interactions":[],"lastModifiedDate":"2025-01-24T14:24:19.146882","indexId":"70262376","displayToPublicDate":"2022-06-12T10:13:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The need to step-up monitoring of Asian bears","docAbstract":"<p><span>Many&nbsp;wildlife species&nbsp;are threatened in Asia, including the five species of terrestrial bears (Asiatic black,&nbsp;</span><span><i>Ursus thibetanus</i></span><span>; brown,&nbsp;</span><i>U. arctos</i><span>; sloth,&nbsp;</span><span><i>Melursus ursinus</i></span><span>; sun,&nbsp;</span><span><i>Helarctos malayanus</i></span><span>; giant panda,&nbsp;</span><span><i>Ailuropoda melanoleuca</i></span><span>): many populations of these bears are thought to be declining or imperiled by small&nbsp;population size. Here our aim is to document how population assessments have been conducted for bears in Asia. We searched the literature and identified 102 studies published during 1999–2021 that investigated the status of an Asian bear population; these occurred in 24 of the 32 bear range countries in Asia. At the most basic level, 11% of studies verified presence of bears in places where they were not known to exist. The most common objective (53% of papers) was a distribution map, often derived from presence locations in a habitat-based model. Occupancy studies (15%) used temporal (time stamps on images from cameras) or spatial (transect segments) replicates, but tended to focus on “use”, so detector spacing was sometimes not appropriate for occupancy. Purported population indices, such as sign density or&nbsp;camera trap&nbsp;encounter rates, were reported in 16% of studies. One third of studies provided a population estimate, but only 10 studies in two decades used a rigorous method (e.g., mark–recapture). Sign surveys and interviews were the most common methods for determining bear presence, and local interviews were heavily relied upon for assessing population trend. Camera trapping has become increasingly prevalent, but only one study obtained a population estimate using photographs to distinguish natural individual markings. Only three studies used hair traps to obtain DNA-based population estimates, and three other studies obtained population estimates from DNA in scats. Just three studies quantitatively measured change in population size or occupancy over time, and none of these showed a decline. Unique rangewide sign surveys of giant pandas showed significant geographic expansion. The opinions of experts and local people, now heavily relied upon for population assessments, are not reliable or sensitive enough for monitoring. Quantitative population assessments are desirable to direct conservation actions toward the most perilous situations, and provide a means to gauge the effectiveness of conservation actions. This paper demonstrates the paucity of rigorous monitoring of Asian bears, and leads off a series of papers that propose improved methods for assessing distribution, occupancy, and density</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02087","usgsCitation":"Garshelis, D., Pigeon, K., Hwang, M., Proctor, M., McShea, W., Fuller, A.K., and Morin, D., 2022, The need to step-up monitoring of Asian bears: Global Ecology and Conservation, v. 35, e02087, 13 p., https://doi.org/10.1016/j.gecco.2022.e02087.","productDescription":"e02087, 13 p.","ipdsId":"IP-135711","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481082,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02087","text":"Publisher Index Page"},{"id":481003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              35.41529707232115,\n              46.71177016110596\n            ],\n            [\n              38.775261932193075,\n              32.68713053487669\n            ],\n            [\n              52.43784583457693,\n              25.45805552202023\n            ],\n            [\n              66.05615094699141,\n              24.425093270056593\n            ],\n            [\n              73.35126800461401,\n              10.197546076498313\n            ],\n            [\n              81.23886207886909,\n              4.4314691000760575\n            ],\n            [\n              91.04270936032952,\n              20.575934862650513\n            ],\n            [\n              94.1901763972345,\n              15.202352382026703\n            ],\n            [\n              97.1384405012642,\n              15.069087431430717\n            ],\n            [\n              94.6771672603644,\n              5.283116189461083\n            ],\n            [\n              102.35786027086067,\n              -7.160654452094249\n            ],\n            [\n              114.53893138055798,\n              -9.948047350337688\n            ],\n            [\n              126.0483612530345,\n              1.5862440839753162\n            ],\n            [\n              110.48966479958608,\n              11.165967994207222\n            ],\n            [\n              109.5109961667568,\n              15.596355224751335\n            ],\n            [\n              123.11341991330539,\n              27.830415332171597\n            ],\n            [\n              117.41469263762411,\n              41.60352364743272\n            ],\n            [\n              126.3476015754286,\n              34.01603489861127\n            ],\n            [\n              130.8382936110803,\n              30.435437531184533\n            ],\n            [\n              142.09430597156933,\n              34.06146267056606\n            ],\n            [\n              145.66944166800903,\n              45.9562112664336\n            ],\n            [\n              140.1217329834799,\n              55.995966254587444\n            ],\n            [\n              151.80803406522398,\n              57.96021145528408\n            ],\n            [\n              157.6450054371361,\n              50.79973619380252\n            ],\n            [\n              194.26952722093165,\n              65.86713544718819\n            ],\n            [\n              109.61559776142303,\n              79.02811684931939\n            ],\n            [\n              44.20411956221898,\n              66.72535345333856\n            ],\n            [\n              21.749680729417662,\n              55.76507789697047\n            ],\n            [\n              35.41529707232115,\n              46.71177016110596\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Garshelis, David L.","contributorId":349064,"corporation":false,"usgs":false,"family":"Garshelis","given":"David L.","affiliations":[{"id":83340,"text":"IUCN SSC Bear Specialist Group","active":true,"usgs":false}],"preferred":false,"id":923977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigeon, Karine","contributorId":349066,"corporation":false,"usgs":false,"family":"Pigeon","given":"Karine","affiliations":[{"id":83421,"text":"BC Ministry of Forests","active":true,"usgs":false}],"preferred":false,"id":923978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hwang, Mei-hsiu","contributorId":349068,"corporation":false,"usgs":false,"family":"Hwang","given":"Mei-hsiu","affiliations":[{"id":83423,"text":"National Pingtung University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":923979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proctor, Michael","contributorId":349069,"corporation":false,"usgs":false,"family":"Proctor","given":"Michael","affiliations":[{"id":83340,"text":"IUCN SSC Bear Specialist Group","active":true,"usgs":false}],"preferred":false,"id":923980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McShea, William J.","contributorId":349070,"corporation":false,"usgs":false,"family":"McShea","given":"William J.","affiliations":[{"id":37784,"text":"Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":923981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morin, Dana J.","contributorId":349071,"corporation":false,"usgs":false,"family":"Morin","given":"Dana J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":923982,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246521,"text":"70246521 - 2022 - U-Pb and fission-track data from zircon and apatite resolve latest- and post-Alleghanian thermal histories along the Fall Line of the Atlantic margin of the southeastern United States","interactions":[],"lastModifiedDate":"2023-07-07T12:21:17.568399","indexId":"70246521","displayToPublicDate":"2022-06-10T07:18:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb and fission-track data from zircon and apatite resolve latest- and post-Alleghanian thermal histories along the Fall Line of the Atlantic margin of the southeastern United States","docAbstract":"<div id=\"134124394\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Although the Atlantic continental margin of the eastern United States is an archetypal passive margin, episodes of rejuvenation following continental breakup are increasingly well documented. To better constrain this history of rejuvenation along the southern portion of this continental margin, we present zircon U-Pb (ZUPb) age, zircon fission-track (ZFT) age, apatite U-Pb (AUPb) age, and apatite fission-track (AFT) age and length data from six bedrock samples. The samples were collected along the boundary between the exposed Appalachian hinterland (Piedmont province) and the updip limit of passive margin strata (Coastal Plain province). The samples were collected from central Virginia southward to the South Carolina–Georgia border. ZUPb age distributions are generally consistent with geologic mapping in each of the sample areas. The AUPb data are highly discordant owing to high common-Pb abundances, but for two plutons at the northern and southern ends of the sample area, they define a discordia regression line that indicates substantial Permo-Triassic exhumation-driven cooling. ZFT age distributions are highly dispersed but define central values ranging from Permian to Jurassic. AFT data mostly appear to define a singular underlying cooling age, generally approximately Jurassic or Early Cretaceous. Apatite fission tracks are moderately long (mean lengths in the range of ~13.5 µm), however track lengths for one sample in central North Carolina are shorter (~12.5 µm). To interpret the post-breakup thermal history, we present inverse models of time-temperature history for the five plutonic samples. The models show a history of (1) rapid cooling (&gt;10 °C/m.y.) from deep-crustal to near-surface temperatures by the Triassic, (2) hundreds of degrees of Triassic reheating, (3) Jurassic–Early Cretaceous cooling (at rates of 1–10 °C/m.y.), and (4) slow Late Cretaceous–Cenozoic cooling (~1 °C/m.y.). An additional suite of forward models is presented to further evaluate the magnitude of maximum Triassic reheating at one sample site that is particularly well constrained by thermal maturity data. The model results and geologic reasoning suggest that the inverse models may overestimate Triassic paleotemperatures but that other aspects of the inverse modeling are robust. Overall, this thermal history can be reconciled with several aspects of the lithostratigraphy of distal parts of the continental margin, including the lack of Jurassic–earliest Cretaceous strata beneath the southern Atlantic coastal plain and Cretaceous–Cenozoic grain-size trends.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02447.1","usgsCitation":"Craddock, W.H., O'Sullivan, P., and McAleer, R.J., 2022, U-Pb and fission-track data from zircon and apatite resolve latest- and post-Alleghanian thermal histories along the Fall Line of the Atlantic margin of the southeastern United States: Geosphere, v. 18, no. 4, p. 1330-1353, https://doi.org/10.1130/GES02447.1.","productDescription":"24 p.","startPage":"1330","endPage":"1353","ipdsId":"IP-127916","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":447476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02447.1","text":"Publisher Index Page"},{"id":418744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.06589631767767,\n              40.62761013989578\n            ],\n            [\n              -76.81264623503682,\n              40.32689154960596\n            ],\n            [\n              -79.40430771293059,\n              40.02563596082908\n            ],\n            [\n              -81.51277806782672,\n              38.76941324786962\n            ],\n            [\n              -83.62124842272343,\n              36.33152035458974\n            ],\n            [\n              -84.63155713444466,\n              33.778910284254295\n            ],\n            [\n              -83.84088075135841,\n              32.7874625650833\n            ],\n            [\n              -82.1277485880051,\n              31.4481799351054\n            ],\n            [\n              -80.32676349319762,\n              31.672755039272587\n            ],\n            [\n              -77.51546968666938,\n              33.22949605942023\n            ],\n            [\n              -75.14344053741085,\n              35.02409793894682\n            ],\n            [\n              -73.12282311396812,\n              37.10613979176382\n            ],\n            [\n              -73.47423483978443,\n              39.24678773255735\n            ],\n            [\n              -76.06589631767767,\n              40.62761013989578\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":877037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Sullivan, Paul","contributorId":257903,"corporation":false,"usgs":false,"family":"O'Sullivan","given":"Paul","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":877038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","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":877039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232234,"text":"70232234 - 2022 - Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","interactions":[],"lastModifiedDate":"2022-08-02T14:40:28.06704","indexId":"70232234","displayToPublicDate":"2022-06-07T09:04:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem","docAbstract":"<p><span>Species' response to rapid climate change can be measured through shifts in timing of recurring biological events, known as phenology. The Gulf of Maine is one of the most rapidly warming regions of the ocean, and thus an ideal system to study phenological and biological responses to climate change. A better understanding of climate-induced changes in phenology is needed to effectively and adaptively manage human-wildlife conflicts. Using data from a 20+ year marine mammal observation program, we tested the hypothesis that the phenology of large whale habitat use in Cape Cod Bay has changed and is related to regional-scale shifts in the thermal onset of spring. We used a multi-season occupancy model to measure phenological shifts and evaluate trends in the date of peak habitat use for North Atlantic right (</span><i>Eubalaena glacialis</i><span>), humpback (</span><i>Megaptera novaeangliae</i><span>), and fin (</span><i>Balaenoptera physalus</i><span>) whales. The date of peak habitat use shifted by +18.1 days (0.90 days/year) for right whales and +19.1 days (0.96 days/year) for humpback whales. We then evaluated interannual variability in peak habitat use relative to thermal spring transition dates (STD), and hypothesized that right whales, as planktivorous specialist feeders, would exhibit a stronger response to thermal phenology than fin and humpback whales, which are more generalist piscivorous feeders. There was a significant negative effect of western region STD on right whale habitat use, and a significant positive effect of eastern region STD on fin whale habitat use indicating differential responses to spatial seasonal conditions. Protections for threatened and endangered whales have been designed to align with expected phenology of habitat use. Our results show that whales are becoming mismatched with static seasonal management measures through shifts in their timing of habitat use, and they suggest that effective management strategies may need to alter protections as species adapt to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16225","usgsCitation":"Pendleton, D., Tingley, M., Ganley, L., Friedland, K., Mayo, C., Brown, M., McKenna, B., Jordaan, A., and Staudinger, M., 2022, Decadal-scale phenology and seasonal climate drivers of migratory baleen whales in a rapidly warming marine ecosystem: Global Change Biology, v. 28, no. 16, p. 4989-5005, https://doi.org/10.1111/gcb.16225.","productDescription":"17 p.","startPage":"4989","endPage":"5005","ipdsId":"IP-135322","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":447501,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.16225","text":"External Repository"},{"id":402267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.6640625,\n              41.72213058512578\n            ],\n            [\n              -70.02685546875,\n              41.72213058512578\n            ],\n            [\n              -70.02685546875,\n              42.261049162113856\n            ],\n            [\n              -70.6640625,\n              42.261049162113856\n            ],\n            [\n              -70.6640625,\n              41.72213058512578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Dan","contributorId":292480,"corporation":false,"usgs":false,"family":"Pendleton","given":"Dan","email":"","affiliations":[{"id":48127,"text":"Anderson Cabot Center for Marine Life","active":true,"usgs":false}],"preferred":false,"id":844744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tingley, Morgan","contributorId":292481,"corporation":false,"usgs":false,"family":"Tingley","given":"Morgan","affiliations":[],"preferred":false,"id":844745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganley, Laura","contributorId":292482,"corporation":false,"usgs":false,"family":"Ganley","given":"Laura","email":"","affiliations":[],"preferred":false,"id":844746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedland, Kevin","contributorId":292483,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","affiliations":[],"preferred":false,"id":844747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayo, Charlie","contributorId":292484,"corporation":false,"usgs":false,"family":"Mayo","given":"Charlie","email":"","affiliations":[],"preferred":false,"id":844748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Moria","contributorId":292485,"corporation":false,"usgs":false,"family":"Brown","given":"Moria","email":"","affiliations":[],"preferred":false,"id":844749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, Brigid","contributorId":292486,"corporation":false,"usgs":false,"family":"McKenna","given":"Brigid","email":"","affiliations":[],"preferred":false,"id":844750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jordaan, Adrian","contributorId":292487,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[],"preferred":false,"id":844751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":205971,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":844752,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70232175,"text":"70232175 - 2022 - Managing macropods without poisoning ecosystems","interactions":[],"lastModifiedDate":"2022-09-27T16:45:35.265923","indexId":"70232175","displayToPublicDate":"2022-06-06T08:45:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10931,"text":"Ecological Management & Restoration","active":true,"publicationSubtype":{"id":10}},"title":"Managing macropods without poisoning ecosystems","docAbstract":"<p><span>A recent review of the management of hyperabundant macropods in Australia proposed that expanded professional shooting is likely to lead to better biodiversity and animal welfare outcomes. While the tenets of this general argument are sound, it overlooks one important issue for biodiversity and animal health and welfare: reliance on toxic lead-based ammunition. Lead poisoning poses a major threat to Australia's wildlife scavengers. Current proposals to expand professional macropod shooting would see tonnes of an extremely toxic and persistent heavy metal continue to be introduced into Australian environments. This contrasts with trends in many other countries, where lead ammunition is, through legislation or voluntary programs, being phased out. Fortunately, there are alternatives to lead ammunition that could be investigated and adopted for improved macropod management. A transition to lead-free ammunition would allow the broad environmental and animal welfare goals desired from macropod management to be pursued without secondarily and unintentionally poisoning scavengers. Through this article, we hope to increase awareness of this issue and encourage discussion of this potential change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/emr.12555","usgsCitation":"Hampton, J.O., Pay, J.M., Katzner, T., Arnemo, J.M., Pokras, M.A., Buenz, E., Kanstrup, N., Thomas, V.G., Uhart, M., Lambertucci, S.A., Krone, O., Singh, N., Naidoo, V., Ishizuka, M., Saito, K., Helander, B., and Green, R.E., 2022, Managing macropods without poisoning ecosystems: Ecological Management & Restoration, v. 23, no. 2, p. 153-157, https://doi.org/10.1111/emr.12555.","productDescription":"5 p.","startPage":"153","endPage":"157","ipdsId":"IP-135596","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":447521,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/emr.12555","text":"External Repository"},{"id":401980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[145.39798,-40.79255],[146.36412,-41.1377],[146.90858,-41.00055],[147.68926,-40.80826],[148.28907,-40.87544],[148.35986,-42.06245],[148.0173,-42.40702],[147.91405,-43.21152],[147.56456,-42.93769],[146.87034,-43.6346],[146.66333,-43.58085],[146.04838,-43.54974],[145.43193,-42.69378],[145.29509,-42.03361],[144.71807,-41.16255],[144.74375,-40.70398],[145.39798,-40.79255]]],[[[143.56181,-13.76366],[143.9221,-14.54831],[144.56371,-14.17118],[144.89491,-14.59446],[145.37472,-14.98498],[145.27199,-15.42821],[145.48526,-16.28567],[145.63703,-16.78492],[145.8889,-16.90693],[146.16031,-17.76165],[146.06367,-18.28007],[146.38748,-18.95827],[147.47108,-19.48072],[148.1776,-19.95594],[148.84841,-20.39121],[148.71747,-20.63347],[149.28942,-21.26051],[149.67834,-22.34251],[150.07738,-22.12278],[150.48294,-22.55614],[150.72727,-22.4024],[150.89955,-23.46224],[151.60918,-24.07626],[152.07354,-24.45789],[152.8552,-25.2675],[153.13616,-26.07117],[153.16195,-26.64132],[153.09291,-27.2603],[153.56947,-28.11007],[153.51211,-28.99508],[153.3391,-29.4582],[153.06924,-30.35024],[153.0896,-30.92364],[152.89158,-31.64045],[152.45,-32.55],[151.70912,-33.04134],[151.34397,-33.81602],[151.01056,-34.31036],[150.71414,-35.17346],[150.32822,-35.67188],[150.07521,-36.42021],[149.94612,-37.10905],[149.99728,-37.42526],[149.42388,-37.77268],[148.30462,-37.80906],[147.38173,-38.21922],[146.92212,-38.60653],[146.31792,-39.03576],[145.48965,-38.59377],[144.87698,-38.41745],[145.03221,-37.89619],[144.48568,-38.08532],[143.60997,-38.80947],[142.74543,-38.53827],[142.17833,-38.38003],[141.60658,-38.30851],[140.63858,-38.01933],[139.99216,-37.40294],[139.80659,-36.6436],[139.57415,-36.13836],[139.08281,-35.73275],[138.12075,-35.6123],[138.44946,-35.12726],[138.20756,-34.38472],[137.71917,-35.07683],[136.82941,-35.26053],[137.35237,-34.70734],[137.50389,-34.13027],[137.89012,-33.64048],[137.81033,-32.90001],[136.99684,-33.75277],[136.37207,-34.09477],[135.98904,-34.89012],[135.20821,-34.47867],[135.23922,-33.94795],[134.61342,-33.22278],[134.0859,-32.84807],[134.2739,-32.61723],[132.99078,-32.01122],[132.28808,-31.98265],[131.32633,-31.4958],[129.53579,-31.59042],[128.24094,-31.94849],[127.10287,-32.28227],[126.14871,-32.21597],[125.08862,-32.72875],[124.22165,-32.95949],[124.02895,-33.48385],[123.65967,-33.89018],[122.81104,-33.91447],[122.18306,-34.0034],[121.29919,-33.82104],[120.58027,-33.93018],[119.8937,-33.97607],[119.2989,-34.50937],[119.00734,-34.46415],[118.50572,-34.74682],[118.02497,-35.06473],[117.29551,-35.02546],[116.62511,-35.0251],[115.56435,-34.38643],[115.02681,-34.19652],[115.04862,-33.62343],[115.54512,-33.48726],[115.71467,-33.25957],[115.67938,-32.90037],[115.80165,-32.20506],[115.68961,-31.61244],[115.16091,-30.60159],[114.99704,-30.03072],[115.04004,-29.4611],[114.64197,-28.81023],[114.6165,-28.5164],[114.17358,-28.11808],[114.04888,-27.33477],[113.4775,-26.54313],[113.33895,-26.11655],[113.77836,-26.54903],[113.44096,-25.62128],[113.9369,-25.91123],[114.23285,-26.29845],[114.21616,-25.78628],[113.72126,-24.99894],[113.62534,-24.68397],[113.39352,-24.38476],[113.50204,-23.80635],[113.70699,-23.56022],[113.84342,-23.05999],[113.73655,-22.47548],[114.14976,-21.75588],[114.22531,-22.51749],[114.64776,-21.82952],[115.46017,-21.49517],[115.94737,-21.06869],[116.71162,-20.70168],[117.16632,-20.6236],[117.44155,-20.7469],[118.22956,-20.37421],[118.83609,-20.26331],[118.98781,-20.0442],[119.25249,-19.95294],[119.80523,-19.97651],[120.85622,-19.68371],[121.39986,-19.23976],[121.65514,-18.70532],[122.24167,-18.19765],[122.28662,-17.7986],[122.31277,-17.25497],[123.01257,-16.4052],[123.43379,-17.26856],[123.85934,-17.06904],[123.50324,-16.59651],[123.81707,-16.11132],[124.25829,-16.32794],[124.37973,-15.56706],[124.92615,-15.0751],[125.16728,-14.6804],[125.67009,-14.51007],[125.6858,-14.23066],[126.12515,-14.34734],[126.14282,-14.09599],[126.58259,-13.95279],[127.06587,-13.81797],[127.80463,-14.27691],[128.35969,-14.86917],[128.98554,-14.87599],[129.62147,-14.96978],[129.4096,-14.42067],[129.88864,-13.6187],[130.33947,-13.35738],[130.18351,-13.10752],[130.6178,-12.53639],[131.22349,-12.18365],[131.73509,-12.30245],[132.5753,-12.11404],[132.55721,-11.60301],[131.8247,-11.27378],[132.35722,-11.12852],[133.01956,-11.37641],[133.55085,-11.78652],[134.39307,-12.04237],[134.67863,-11.94118],[135.29849,-12.24861],[135.88269,-11.96227],[136.25838,-12.04934],[136.49248,-11.85721],[136.95162,-12.35196],[136.68512,-12.88722],[136.30541,-13.29123],[135.96176,-13.32451],[136.07762,-13.72428],[135.78384,-14.22399],[135.42866,-14.71543],[135.50018,-14.99774],[136.29517,-15.55026],[137.06536,-15.87076],[137.58047,-16.21508],[138.30322,-16.8076],[138.58516,-16.80662],[139.10854,-17.06268],[139.26057,-17.3716],[140.21525,-17.7108],[140.87546,-17.36907],[141.07111,-16.83205],[141.2741,-16.38887],[141.39822,-15.84053],[141.70218,-15.04492],[141.56338,-14.56133],[141.63552,-14.27039],[141.51987,-13.69808],[141.65092,-12.94469],[141.84269,-12.74155],[141.68699,-12.40761],[141.92863,-11.87747],[142.11849,-11.32804],[142.14371,-11.04274],[142.51526,-10.66819],[142.79731,-11.15735],[142.86676,-11.78471],[143.11595,-11.90563],[143.15863,-12.32566],[143.52212,-12.83436],[143.59716,-13.40042],[143.56181,-13.76366]]]]},\"properties\":{\"name\":\"Australia\"}}]}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hampton, Jordan O","contributorId":292391,"corporation":false,"usgs":false,"family":"Hampton","given":"Jordan","email":"","middleInitial":"O","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":844442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pay, James M.","contributorId":245078,"corporation":false,"usgs":false,"family":"Pay","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":844443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnemo, Jon M","contributorId":292393,"corporation":false,"usgs":false,"family":"Arnemo","given":"Jon","email":"","middleInitial":"M","affiliations":[{"id":62892,"text":"Inland Norway University of Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":844445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pokras, Mark A","contributorId":292394,"corporation":false,"usgs":false,"family":"Pokras","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":844446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buenz, Eric","contributorId":292395,"corporation":false,"usgs":false,"family":"Buenz","given":"Eric","email":"","affiliations":[{"id":62894,"text":"Nelson Marlborough Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":844447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanstrup, Niels","contributorId":292396,"corporation":false,"usgs":false,"family":"Kanstrup","given":"Niels","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":844448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Vernon G","contributorId":292397,"corporation":false,"usgs":false,"family":"Thomas","given":"Vernon","email":"","middleInitial":"G","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":844449,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Uhart, Marcela","contributorId":292398,"corporation":false,"usgs":false,"family":"Uhart","given":"Marcela","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":844450,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lambertucci, Sergio A","contributorId":292399,"corporation":false,"usgs":false,"family":"Lambertucci","given":"Sergio","email":"","middleInitial":"A","affiliations":[{"id":62895,"text":"National Scientific and Technical Research Council","active":true,"usgs":false}],"preferred":false,"id":844451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krone, Oliver","contributorId":292400,"corporation":false,"usgs":false,"family":"Krone","given":"Oliver","email":"","affiliations":[{"id":39836,"text":"Leibniz Institute for Zoo and Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":844452,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Singh, Navinder J","contributorId":292401,"corporation":false,"usgs":false,"family":"Singh","given":"Navinder J","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":844453,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Naidoo, Vinny","contributorId":292402,"corporation":false,"usgs":false,"family":"Naidoo","given":"Vinny","email":"","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":844454,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ishizuka, Mayumi","contributorId":292403,"corporation":false,"usgs":false,"family":"Ishizuka","given":"Mayumi","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":844455,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Saito, Keisuke","contributorId":292404,"corporation":false,"usgs":false,"family":"Saito","given":"Keisuke","email":"","affiliations":[{"id":62896,"text":"Institute for Raptor Biomedicine Japan","active":true,"usgs":false}],"preferred":false,"id":844456,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Helander, Bjorn","contributorId":218367,"corporation":false,"usgs":false,"family":"Helander","given":"Bjorn","email":"","affiliations":[{"id":39823,"text":"Environmental Research & Monitoring, Swedish Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":844457,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Green, Rhys E.","contributorId":174406,"corporation":false,"usgs":false,"family":"Green","given":"Rhys","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":844458,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70232183,"text":"70232183 - 2022 - Damage assessment for the 2018 lower East Rift Zone lava flows of Kīlauea volcano, Hawaiʻi","interactions":[],"lastModifiedDate":"2022-06-10T11:53:01.951056","indexId":"70232183","displayToPublicDate":"2022-06-06T06:50:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Damage assessment for the 2018 lower East Rift Zone lava flows of Kīlauea volcano, Hawaiʻi","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Cataloguing damage and its correlation with hazard intensity is one of the key components needed to robustly assess future risk and plan for mitigation as it provides important empirical data. Damage assessments following volcanic eruptions have been conducted for buildings and other structures following hazards such as tephra fall, pyroclastic density currents, and lahars. However, there are relatively limited quantitative descriptions of the damage caused by lava flows, despite the number of communities that have been devastated by lava flows in recent decades (e.g., Cumbre Vieja, La Palma, 2021; Nyiragongo, Democratic Republic of Congo, 2002 and 2021; Fogo, Cape Verde, 2014–2015). The 2018 lower East Rift Zone (LERZ) lava flows of Kīlauea volcano, Hawaiʻi, inundated 32.4 km<sup>2</sup><span>&nbsp;</span>of land in the Puna District, including residential properties, infrastructure, and farmland. During and after the eruption, US Geological Survey scientists and collaborators took over 8000 aerial and ground photographs and videos of the eruption processes, deposits, and impacts. This reconnaissance created one of the largest available impact datasets documenting an effusive eruption and provided a unique opportunity to conduct a comprehensive damage assessment. Drawing on this georeferenced dataset, satellite imagery, and 2019 ground-based damage surveys, we assessed the pre-event typology and post-event condition of structures within and adjacent to the area inundated by lava flows during the 2018 LERZ eruption. We created a database of damage: each structure was assigned a newly developed damage state and data quality category value. We assessed 3165 structures within the Puna District and classified 1839 structures (58%) as destroyed, 90 structures (3%) as damaged, and 1236 (39%) as unaffected. We observed a range of damage states, affected by the structural typology and hazard characteristics. Our study reveals that structures may be damaged or destroyed beyond the lava flow margin, due to thermal effects from the lava flow, fire spread, or from exposure to a range of hazards associated with fissure eruptions, such as steam, volcanic gases, or tephra fall. This study provides a major contribution to the currently limited evidence base required to forecast future lava flow impacts and assess risk.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01568-2","usgsCitation":"Meredith, E.S., Jenkins, S.F., Hayes, J.L., Deligne, N.I., Lallemant, D., Patrick, M.R., and Neal, C.A., 2022, Damage assessment for the 2018 lower East Rift Zone lava flows of Kīlauea volcano, Hawaiʻi: Bulletin of Volcanology, v. 84, 65, 23 p., https://doi.org/10.1007/s00445-022-01568-2.","productDescription":"65, 23 p.","ipdsId":"IP-130595","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":447528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01568-2","text":"Publisher Index Page"},{"id":402057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3521728515625,\n              19.32280716454424\n            ],\n            [\n              -155.126953125,\n              19.32280716454424\n            ],\n            [\n              -155.126953125,\n              19.480834276134903\n            ],\n            [\n              -155.3521728515625,\n              19.480834276134903\n            ],\n            [\n              -155.3521728515625,\n              19.32280716454424\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","noUsgsAuthors":false,"publicationDate":"2022-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Meredith, Elinor S. 0000-0002-3869-1180","orcid":"https://orcid.org/0000-0002-3869-1180","contributorId":270269,"corporation":false,"usgs":false,"family":"Meredith","given":"Elinor","email":"","middleInitial":"S.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":844485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Susanna F. 0000-0002-7523-1423","orcid":"https://orcid.org/0000-0002-7523-1423","contributorId":270268,"corporation":false,"usgs":false,"family":"Jenkins","given":"Susanna","email":"","middleInitial":"F.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":844486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Josh L. 0000-0001-7099-1063","orcid":"https://orcid.org/0000-0001-7099-1063","contributorId":270275,"corporation":false,"usgs":false,"family":"Hayes","given":"Josh","email":"","middleInitial":"L.","affiliations":[{"id":56128,"text":"Earth Observatory of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":844487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":844488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lallemant, David 0000-0001-5759-9972","orcid":"https://orcid.org/0000-0001-5759-9972","contributorId":290680,"corporation":false,"usgs":false,"family":"Lallemant","given":"David","email":"","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":844489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":844490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":844491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70236537,"text":"70236537 - 2022 - Evidence of alternative trophic pathways for fish consumers in a large river system in the face of invasion","interactions":[],"lastModifiedDate":"2022-09-09T12:08:10.245228","indexId":"70236537","displayToPublicDate":"2022-06-05T07:06:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of alternative trophic pathways for fish consumers in a large river system in the face of invasion","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Large rivers are susceptible to anthropogenic alteration, which can result in drastic changes to their functional ecology. We evaluated spatial–temporal changes in the functional fish communities of the Upper Mississippi River System (UMRS) using data from six study reaches. Species were classified into one of 14 feeding guilds and mass per unit effort (MPUE) was then calculated for each feeding guild annually per gear type. MPUE was standardized using the multigear mean standardization method (MGMS) and log-transformed. Both ANOSIM and Chi-square tests were used to determine differences in MPUE among reaches. We then estimated functional diversity by calculating the number of functional groups (<i>N</i>), Margalef's<span>&nbsp;</span><i>d</i>, Pielou's J′, Shannon's Diversity, and Simpson's Diversity Index. An AR(1) time series model was used to investigate proportional changes in each guild over 25 years. To evaluate the effect of invasive Carp species in invaded reaches, a Chow test was applied to observations between 2000 and 2005. Analyses revealed differences in the functional fish community among reaches. We found differences in functional diversity metrics among study reaches, but there was little evidence that this differed between invaded and non-invaded reaches. Results determined that invertivore/detritivores have been consistently declining system-wide, with few groups showing a net change. There was also little evidence that invasion altered the proportion of any functional guild. Evaluating the spatial–temporal patterns of functional communities is beneficial to understanding the resilience of a system and can provide further insight into its trophic needs when considering future restoration initiatives.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3992","usgsCitation":"Gatto, J.V., Ickes, B., and Chick, J.H., 2022, Evidence of alternative trophic pathways for fish consumers in a large river system in the face of invasion: River Research and Applications, v. 38, no. 7, p. 1321-1332, https://doi.org/10.1002/rra.3992.","productDescription":"12 p.","startPage":"1321","endPage":"1332","ipdsId":"IP-133926","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":447539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3992","text":"Publisher Index Page"},{"id":406441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gatto, John V. 0000-0002-9793-0997","orcid":"https://orcid.org/0000-0002-9793-0997","contributorId":296376,"corporation":false,"usgs":false,"family":"Gatto","given":"John","email":"","middleInitial":"V.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":851341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, Brian 0000-0001-5622-3842 bickes@usgs.gov","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":2925,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"bickes@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":851342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chick, John H.","contributorId":229508,"corporation":false,"usgs":false,"family":"Chick","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":851343,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256664,"text":"70256664 - 2022 - Breeding dynamics of gopher frog metapopulations over 10 years","interactions":[],"lastModifiedDate":"2024-08-29T16:09:10.614626","indexId":"70256664","displayToPublicDate":"2022-06-03T11:02:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Breeding dynamics of gopher frog metapopulations over 10 years","docAbstract":"<p><span>Populations of amphibians that breed in isolated, ephemeral wetlands may be particularly sensitive to breeding and recruitment rates, which can be influenced by dynamic and difficult-to-predict extrinsic factors. The gopher frog&nbsp;</span><i>Rana capito</i><span>&nbsp;is a declining species currently proposed for listing under the U.S. Endangered Species Act, as well as one of many pond-breeding amphibians of conservation concern in the southeastern United States. To represent gopher frog breeding dynamics, we applied an occupancy modeling framework that integrated multiple data sets collected across the species' range to 1) estimate the influence of climate, habitat, and other factors on wetland-specific seasonal breeding probabilities; and 2) use those estimates to characterize seasonal, annual, and regional breeding patterns over a 10-y period. Breeding probability at a wetland was positively influenced by seasonal precipitation (Standardized Precipitation Index) and negatively influenced by fish presence. We found some evidence that the amount of suitable habitat surrounding a wetland was positively correlated with breeding probability during drought conditions. The percentage of sampled wetlands (</span><i>N</i><span>&nbsp;= 192) predicted to have breeding varied seasonally, annually, and regionally across the study. Within-year temporal patterns of breeding differed across the range: in most locations north of Florida, peaks of breeding occurred in winter and spring months; whereas breeding was more dispersed throughout the year in Florida. Peaks of breeding across the 10-y period often occurred during or in the season following high rainfall events (e.g., hurricanes). These results have direct applications for site-level management that aims to increase successful breeding opportunities of gopher frogs and other associated pond-breeding amphibians, including monitoring protocol and intensity, removal of fish, and improving terrestrial habitat conditions surrounding wetlands (e.g., via tree or shrub removal and prescribed fire). The results also have implications for better-informed management through the closer alignment of breeding activity monitoring with predicted seasonal peaks. Furthermore, estimates of breeding frequency can be incorporated into population viability analyses to inform forthcoming assessments of extinction risk and designation of the species' conservation status by the U.S. Fish and Wildlife Service.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-076","usgsCitation":"Crawford, B., Farmer, A.L., Enge, K.M., Greene, A.H., Diaz, L., Maerz, J., and Moore, C.T., 2022, Breeding dynamics of gopher frog metapopulations over 10 years: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 422-436, https://doi.org/10.3996/JFWM-21-076.","productDescription":"15 p.","startPage":"422","endPage":"436","ipdsId":"IP-132970","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-076","text":"Publisher Index Page"},{"id":433319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.37623620146309,\n              35.01905610973961\n            ],\n            [\n              -79.58387829875939,\n              35.765474175904856\n            ],\n            [\n              -84.05790907036402,\n              32.71553184084284\n            ],\n            [\n              -86.95743456481551,\n              31.313371252353505\n            ],\n            [\n              -87.97753689244945,\n              31.255714516567366\n            ],\n            [\n              -87.90062766475464,\n              30.410921928153\n            ],\n            [\n              -87.59693089405745,\n              30.192182652668805\n            ],\n            [\n              -86.47166028094222,\n              30.256647398203384\n            ],\n            [\n              -85.28363865323925,\n              29.70795105375852\n            ],\n            [\n              -84.92300860524551,\n              29.589227662420754\n            ],\n            [\n              -84.08074545620036,\n              30.02565465245405\n            ],\n            [\n              -83.15740795176218,\n              29.317339522650897\n            ],\n            [\n              -82.63768115979533,\n              28.69410108060019\n            ],\n            [\n              -82.92151914429557,\n              27.84487915072812\n            ],\n            [\n              -82.2486913639156,\n              26.57820345742978\n            ],\n            [\n              -80.14666967814253,\n              27.38909651326503\n            ],\n            [\n              -81.36572255738787,\n              30.46066646132182\n            ],\n            [\n              -80.96075675824606,\n              31.903583611808543\n            ],\n            [\n              -79.10275245779792,\n              33.184671689061005\n            ],\n            [\n              -78.85784463476865,\n              33.722973799123594\n            ],\n            [\n              -77.88573955862327,\n              33.91871952883908\n            ],\n            [\n              -76.37623620146309,\n              35.01905610973961\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Brian A.","contributorId":341519,"corporation":false,"usgs":false,"family":"Crawford","given":"Brian A.","affiliations":[{"id":81748,"text":"Georgia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":908553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Anna L.","contributorId":341520,"corporation":false,"usgs":false,"family":"Farmer","given":"Anna","email":"","middleInitial":"L.","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":908554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enge, Kevin M","contributorId":177669,"corporation":false,"usgs":false,"family":"Enge","given":"Kevin","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":908555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greene, Aubrey Heupel","contributorId":341522,"corporation":false,"usgs":false,"family":"Greene","given":"Aubrey","email":"","middleInitial":"Heupel","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":908556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz, Lauren","contributorId":341523,"corporation":false,"usgs":false,"family":"Diaz","given":"Lauren","email":"","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":908557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maerz, John C.","contributorId":341524,"corporation":false,"usgs":false,"family":"Maerz","given":"John C.","affiliations":[{"id":81749,"text":"Warnell School of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":908558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908559,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246620,"text":"70246620 - 2022 - Chew-cards can accurately index invasive rat densities in Mariana Island forests","interactions":[],"lastModifiedDate":"2023-07-11T12:20:09.04227","indexId":"70246620","displayToPublicDate":"2022-06-02T07:16:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Chew-cards can accurately index invasive rat densities in Mariana Island forests","docAbstract":"<div class=\"P-Article-Preview-Block\"><div class=\"P-Article-Preview-Block-Content\"><p data-obkms-id=\"FE9EE6A3-EBA3-4AC6-97E4-0AE1E5A48736\">Rats (<i><span class=\"tn\" data-taxon-parsed-name=\"Rattus\"><span class=\"genus\">Rattus</span></span></i><span>&nbsp;</span>spp.) are likely established on 80–90% of the world’s islands and represent one of the most damaging and expensive biological invaders. Effective rat control tools exist but require accurate population density estimates or indices to inform treatment timing and effort and to assess treatment efficacy. Capture-mark-recapture data are frequently used to produce robust density estimates, but collecting these data can be expensive, time-consuming, and labor-intensive. We tested a potentially cheaper and easier alternative, chew-cards, as a count-based (quantitative) index of invasive rat densities in tropical forests in the Mariana Islands, an archipelago in the western North Pacific Ocean. We trialed chew-cards in nine forest grids on two Mariana Islands by comparing the proportion of cards chewed to capture-mark-recapture density estimates and manipulated rat densities to test whether the relationship was retained. Chew-card counts were positively correlated with rat capture-mark-recapture density estimates across a range of rat densities found in the region. Additionally, the correlation between the two sampling methods increased with the number of days chew-cards were deployed. Specifically, when chew-cards were deployed for five nights, a 10% increase in the proportion of cards chewed equated to an estimated increase in rat density of approximately 2.4 individuals per ha (R<sup>2</sup><span>&nbsp;</span>= 0.74). Chew-cards can provide a valid index of rat densities in Mariana Island forests and are a cheaper alternative to capture-mark-recapture sampling when relative differences in density are of primary interest. New cost-effective monitoring tools can enhance our understanding and management of invaded islands while stretching limited resources further than some conventional approaches, thus improving invasive species management on islands.</p></div></div>","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.74.80242","usgsCitation":"Hanslowe, E., Yackel Adams, A.A., Nafus, M., Page, D.A., Bradke, D.R., Erickson, F.T., and Bailey, L., 2022, Chew-cards can accurately index invasive rat densities in Mariana Island forests: NeoBiota, v. 74, p. 29-56, https://doi.org/10.3897/neobiota.74.80242.","productDescription":"28 p.","startPage":"29","endPage":"56","ipdsId":"IP-128113","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.74.80242","text":"Publisher Index Page"},{"id":435829,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FOS7Z8","text":"USGS data release","linkHelpText":"Spatial mark-recapture and chew card rat data on Guam and Rota, 2018-2019"},{"id":418856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guam, Mariana Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.5938554186842,\n              13.719183205949378\n            ],\n            [\n              144.5938554186842,\n              13.195860765981948\n            ],\n            [\n              144.97821199379524,\n              13.195860765981948\n            ],\n            [\n              144.97821199379524,\n              13.719183205949378\n            ],\n            [\n              144.5938554186842,\n              13.719183205949378\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              145.37355018533708,\n              15.334962369438784\n            ],\n            [\n              145.37355018533708,\n              14.83661568002475\n            ],\n            [\n              145.8567413083352,\n              14.83661568002475\n            ],\n            [\n              145.8567413083352,\n              15.334962369438784\n            ],\n            [\n              145.37355018533708,\n              15.334962369438784\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              145.05508330881662,\n              14.33711815415424\n            ],\n            [\n              145.05508330881662,\n              14.028358821029244\n            ],\n            [\n              145.37355018533708,\n              14.028358821029244\n            ],\n            [\n              145.37355018533708,\n              14.33711815415424\n            ],\n            [\n              145.05508330881662,\n              14.33711815415424\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"74","noUsgsAuthors":false,"publicationDate":"2022-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hanslowe, Emma B.","contributorId":316316,"corporation":false,"usgs":false,"family":"Hanslowe","given":"Emma B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":877395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":877396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":877397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, Douglas A","contributorId":292623,"corporation":false,"usgs":false,"family":"Page","given":"Douglas","email":"","middleInitial":"A","affiliations":[{"id":62947,"text":"Institute for Wildlife Studies","active":true,"usgs":false}],"preferred":false,"id":877398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradke, Danielle R. 0000-0002-3037-1377","orcid":"https://orcid.org/0000-0002-3037-1377","contributorId":225114,"corporation":false,"usgs":false,"family":"Bradke","given":"Danielle","email":"","middleInitial":"R.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":877399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Francesca T.","contributorId":276320,"corporation":false,"usgs":false,"family":"Erickson","given":"Francesca","email":"","middleInitial":"T.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":877400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":877401,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256660,"text":"70256660 - 2022 - Modeling and estimating co-occurrence between the invasive Shiny Cowbird and its Puerto Rican hosts","interactions":[],"lastModifiedDate":"2024-08-29T15:47:20.559343","indexId":"70256660","displayToPublicDate":"2022-05-31T10:33:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Modeling and estimating co-occurrence between the invasive Shiny Cowbird and its Puerto Rican hosts","docAbstract":"<p><span>Invasive species threaten island biodiversity globally. For example, the Shiny Cowbird (</span><i>Molothrus bonariensis</i><span>) parasitizes many of Puerto Rico’s endemic species, particularly in the open forests in the island’s southwest. Less is known, however, about cowbird parasitism in the agro-ecological highlands, which contain a patchwork of forests, shaded-coffee plantations, and coffee farms without shade. In this paper, we estimated co-occurrence rates, a potential indicator of parasitism rates, between the cowbird and four host species across these three land uses, hypothesizing that cowbirds would most likely co-occur with their hosts in shaded-coffee farms. We also hypothesized that the presence of host species would increase the probability of cowbird occurrence. To investigate these hypotheses, we developed three Bayesian hierarchical occupancy models: one where the hosts and parasite occurred independently, one that used the latent host species richness as a predictor of cowbird occurrence, and one that used each latent host occurrence state as predictors. These methods addressed observation errors and appropriately propagated error to our predictions of co-occurrence rates. We selected the best performing model using WAIC, then used it to predict co-occurrence rates. While there was some evidence that host species richness increased the probability of cowbirds, the parsimonious model assumed no interaction. With this model, we found that cowbirds were more likely to overlap with certain hosts in shaded-coffee plantations. This may suggest increased parasitism at these plantations, potentially presenting challenges for managers who advocate for shade restoration to gain ecological services such as biodiversity conservation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-022-02825-3","usgsCitation":"Patton, P.T., Pacifici, K., and Collazo, J.A., 2022, Modeling and estimating co-occurrence between the invasive Shiny Cowbird and its Puerto Rican hosts: Biological Invasions, v. 24, p. 2951-2960, https://doi.org/10.1007/s10530-022-02825-3.","productDescription":"10 p.","startPage":"2951","endPage":"2960","ipdsId":"IP-140193","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.3277,18.295843],[-65.337451,18.308308],[-65.327318,18.323666],[-65.342068,18.34529],[-65.335701,18.349535],[-65.329334,18.341955],[-65.321754,18.338316],[-65.309833,18.337973],[-65.304409,18.332054],[-65.298328,18.330529],[-65.255933,18.342117],[-65.221568,18.320959],[-65.222853,18.310464],[-65.249857,18.296691],[-65.260282,18.290823],[-65.283269,18.280214],[-65.3277,18.295843]]],[[[-67.89174,18.11397],[-67.887099,18.112574],[-67.87643,18.114157],[-67.869804,18.118851],[-67.861548,18.122144],[-67.848245,18.10832],[-67.843202,18.094858],[-67.843615,18.085099],[-67.845293,18.081938],[-67.853098,18.078195],[-67.865598,18.06544],[-67.871462,18.0578],[-67.895921,18.052342],[-67.904431,18.05913],[-67.918778,18.063116],[-67.927841,18.068572],[-67.940799,18.079716],[-67.934479,18.111306],[-67.932185,18.113221],[-67.91088,18.119668],[-67.89174,18.11397]]],[[[-65.308717,18.145172],[-65.302295,18.141089],[-65.294896,18.14283],[-65.287962,18.148097],[-65.275165,18.13443],[-65.276214,18.131936],[-65.283248,18.132999],[-65.296036,18.12799],[-65.322794,18.126589],[-65.327184,18.124106],[-65.338506,18.112439],[-65.342037,18.11138],[-65.350493,18.111914],[-65.364733,18.120377],[-65.397837,18.110873],[-65.399791,18.108832],[-65.411767,18.106211],[-65.423765,18.097764],[-65.426311,18.093749],[-65.45138,18.086096],[-65.45681,18.087778],[-65.465849,18.087715],[-65.468768,18.092643],[-65.47979,18.096352],[-65.507265,18.091646],[-65.524209,18.081977],[-65.542087,18.081177],[-65.558646,18.08566],[-65.569305,18.091616],[-65.570628,18.097325],[-65.57686,18.103224],[-65.575579,18.115669],[-65.546199,18.119329],[-65.511712,18.13284],[-65.489829,18.135912],[-65.46791,18.143767],[-65.437058,18.15766],[-65.399517,18.161935],[-65.371373,18.157517],[-65.334289,18.147761],[-65.313476,18.144296],[-65.308717,18.145172]]],[[[-66.438813,18.485713],[-66.420921,18.488639],[-66.410344,18.489886],[-66.394287,18.489748],[-66.377286,18.488044],[-66.37282,18.487726],[-66.349647,18.486335],[-66.337728,18.48562],[-66.315477,18.474724],[-66.31503,18.47468],[-66.291225,18.472347],[-66.283675,18.472203],[-66.276599,18.478129],[-66.269799,18.480281],[-66.258015,18.476906],[-66.251547,18.472464],[-66.241797,18.46874],[-66.220148,18.466],[-66.199032,18.466163],[-66.192664,18.466212],[-66.183886,18.460506],[-66.179218,18.455305],[-66.172315,18.451462],[-66.159796,18.451706],[-66.153037,18.454457],[-66.14395,18.459761],[-66.139572,18.462317],[-66.139451,18.462387],[-66.139443,18.462315],[-66.138532,18.453305],[-66.133085,18.445881],[-66.127938,18.444632],[-66.125198,18.451209],[-66.124284,18.456324],[-66.123188,18.45943],[-66.123343,18.460363],[-66.125015,18.470435],[-66.118338,18.469581],[-66.092098,18.466535],[-66.083254,18.462022],[-66.073987,18.4581],[-66.043272,18.453655],[-66.03944,18.454441],[-66.036559,18.450216],[-66.036491,18.450117],[-66.023221,18.443875],[-66.006523,18.444347],[-65.99718,18.449895],[-65.992935,18.457489],[-65.992793,18.458102],[-65.992349,18.460024],[-65.99079,18.460419],[-65.958492,18.451354],[-65.92567,18.444881],[-65.916843,18.444619],[-65.907756,18.446893],[-65.904988,18.450926],[-65.878683,18.438322],[-65.838825,18.431865],[-65.831476,18.426849],[-65.828457,18.423543],[-65.816691,18.410663],[-65.794556,18.402845],[-65.787666,18.402544],[-65.774937,18.413951],[-65.77053,18.41294],[-65.769749,18.409473],[-65.771695,18.406277],[-65.750455,18.385208],[-65.750179,18.38505],[-65.742154,18.380459],[-65.733567,18.382211],[-65.699069,18.368156],[-65.669636,18.362102],[-65.668845,18.361939],[-65.634431,18.369835],[-65.627246,18.376436],[-65.626527,18.381728],[-65.624975,18.386553],[-65.622761,18.387771],[-65.618229,18.386496],[-65.614891,18.382473],[-65.619068,18.367755],[-65.628198,18.353711],[-65.63419,18.338965],[-65.628047,18.328252],[-65.626456,18.298982],[-65.634389,18.292349],[-65.635826,18.288271],[-65.634893,18.283923],[-65.630833,18.264989],[-65.623111,18.248012],[-65.597618,18.234289],[-65.589947,18.228225],[-65.593795,18.224059],[-65.615981,18.227389],[-65.626731,18.235484],[-65.638181,18.229121],[-65.637565,18.224444],[-65.628414,18.205149],[-65.635281,18.199975],[-65.639688,18.205656],[-65.662185,18.207018],[-65.664127,18.207136],[-65.690749,18.19499],[-65.694515,18.187011],[-65.691021,18.178998],[-65.695856,18.179324],[-65.710895,18.186963],[-65.712533,18.189146],[-65.717999,18.190176],[-65.728471,18.185588],[-65.734664,18.180368],[-65.738834,18.174066],[-65.739125,18.173453],[-65.743632,18.163957],[-65.758728,18.156601],[-65.766919,18.148424],[-65.777584,18.129239],[-65.796711,18.083746],[-65.796289,18.079835],[-65.794686,18.078607],[-65.795028,18.073561],[-65.796711,18.069842],[-65.801831,18.058527],[-65.809174,18.056818],[-65.817107,18.063378],[-65.825848,18.057482],[-65.83109,18.050664],[-65.834274,18.038988],[-65.832429,18.014916],[-65.839591,18.015077],[-65.850913,18.011954],[-65.870335,18.006597],[-65.875122,18.002826],[-65.884937,17.988521],[-65.896102,17.99026],[-65.905319,17.983974],[-65.910537,17.981855],[-65.924738,17.976087],[-65.976611,17.967669],[-65.98455,17.969411],[-65.985358,17.971854],[-65.995185,17.978989],[-66.007731,17.980541],[-66.017308,17.979583],[-66.019539,17.978354],[-66.024,17.975896],[-66.046585,17.954853],[-66.049033,17.954561],[-66.058217,17.959238],[-66.068678,17.966335],[-66.069979,17.966357],[-66.08141,17.966552],[-66.116194,17.949141],[-66.127009,17.946953],[-66.140661,17.94102],[-66.147912,17.933963],[-66.155387,17.929406],[-66.159742,17.928613],[-66.161232,17.931747],[-66.175626,17.933565],[-66.186914,17.935363],[-66.189726,17.933936],[-66.200174,17.929515],[-66.206961,17.932268],[-66.213374,17.944614],[-66.202655,17.944753],[-66.185554,17.940997],[-66.179548,17.943727],[-66.174839,17.948214],[-66.176814,17.950438],[-66.206207,17.96305],[-66.206807,17.963307],[-66.215355,17.959376],[-66.218081,17.95729],[-66.231519,17.943912],[-66.229181,17.934651],[-66.232013,17.931154],[-66.252737,17.934574],[-66.260684,17.936083],[-66.270905,17.947098],[-66.275651,17.94826],[-66.290782,17.946491],[-66.297679,17.959148],[-66.31695,17.976683],[-66.323659,17.978536],[-66.338152,17.976492],[-66.33839,17.976458],[-66.362511,17.968231],[-66.365098,17.964832],[-66.368777,17.957717],[-66.371591,17.951469],[-66.385059,17.939004],[-66.391227,17.945819],[-66.398945,17.950925],[-66.412131,17.957286],[-66.445481,17.979379],[-66.450368,17.983226],[-66.454888,17.986784],[-66.461342,17.990273],[-66.491396,17.990262],[-66.510143,17.985618],[-66.540537,17.975476],[-66.583233,17.961229],[-66.589658,17.969386],[-66.594392,17.970682],[-66.605035,17.969015],[-66.623788,17.98105],[-66.631944,17.982746],[-66.645651,17.98026],[-66.657797,17.974605],[-66.664391,17.968259],[-66.672819,17.966451],[-66.699115,17.977568],[-66.709856,17.982109],[-66.713394,17.987763],[-66.716957,17.990344],[-66.731118,17.991658],[-66.746248,17.990349],[-66.750427,17.995443],[-66.753964,17.99959],[-66.755341,18.001203],[-66.764491,18.006317],[-66.770307,18.005955],[-66.799656,17.99245],[-66.806866,17.983786],[-66.807924,17.979606],[-66.806903,17.976046],[-66.805683,17.975052],[-66.795106,17.977438],[-66.789302,17.980793],[-66.784953,17.978326],[-66.787245,17.972914],[-66.80827,17.965635],[-66.8224,17.954499],[-66.838584,17.949931],[-66.852288,17.955004],[-66.856474,17.956553],[-66.859471,17.954316],[-66.862545,17.952022],[-66.871697,17.952707],[-66.88344,17.952526],[-66.899639,17.948298],[-66.904585,17.950527],[-66.906532,17.955356],[-66.906276,17.963368],[-66.924529,17.972808],[-66.928651,17.970204],[-66.930414,17.963127],[-66.916127,17.959102],[-66.909483,17.952559],[-66.909359,17.94988],[-66.912522,17.947446],[-66.930313,17.943389],[-66.932636,17.939998],[-66.931581,17.9369],[-66.919298,17.932062],[-66.923826,17.926923],[-66.927261,17.926875],[-66.959998,17.940216],[-66.980516,17.951648],[-66.98105,17.952505],[-66.982669,17.9551],[-66.982206,17.961192],[-66.987287,17.970663],[-66.996738,17.972899],[-67.003972,17.970799],[-67.014744,17.968468],[-67.024522,17.970722],[-67.062478,17.973819],[-67.076534,17.967759],[-67.089827,17.951418],[-67.101468,17.946621],[-67.109985,17.945806],[-67.109986,17.945806],[-67.128251,17.948153],[-67.133733,17.951919],[-67.167031,17.963073],[-67.178566,17.964792],[-67.183508,17.962706],[-67.188717,17.950989],[-67.187474,17.946252],[-67.183694,17.937982],[-67.183457,17.931135],[-67.194785,17.932826],[-67.196924,17.935651],[-67.197273,17.937461],[-67.197517,17.941514],[-67.197668,17.943549],[-67.198988,17.94782],[-67.200973,17.949896],[-67.210034,17.953595],[-67.212101,17.956027],[-67.21433,17.962436],[-67.215271,17.983464],[-67.211973,17.992993],[-67.207694,17.998019],[-67.177893,18.008882],[-67.174299,18.011149],[-67.172397,18.014906],[-67.172138,18.021422],[-67.173761,18.024548],[-67.193269,18.03185],[-67.209887,18.035439],[-67.196694,18.066491],[-67.190656,18.064269],[-67.184589,18.06775],[-67.183938,18.069914],[-67.186465,18.074195],[-67.192999,18.076877],[-67.198212,18.076828],[-67.199314,18.091135],[-67.19529,18.096149],[-67.183921,18.103683],[-67.182182,18.108507],[-67.176554,18.151046],[-67.178618,18.159318],[-67.180822,18.168055],[-67.180701,18.168182],[-67.155185,18.195001],[-67.152665,18.203493],[-67.158001,18.216719],[-67.173,18.230666],[-67.175429,18.248008],[-67.187843,18.266671],[-67.187873,18.266874],[-67.189971,18.281015],[-67.196056,18.290443],[-67.209963,18.294974],[-67.225403,18.296648],[-67.226081,18.296722],[-67.235137,18.299935],[-67.267484,18.353149],[-67.27135,18.362329],[-67.268259,18.366989],[-67.260671,18.370197],[-67.23909,18.375318],[-67.226744,18.378247],[-67.216998,18.382078],[-67.202167,18.389908],[-67.160144,18.415587],[-67.159608,18.415915],[-67.156599,18.418983],[-67.155245,18.424401],[-67.156619,18.439562],[-67.161746,18.453462],[-67.169011,18.466352],[-67.169016,18.478488],[-67.164144,18.487396],[-67.14283,18.505485],[-67.138249,18.507776],[-67.125655,18.511706],[-67.103468,18.514523],[-67.093752,18.515757],[-67.07929,18.513256],[-67.020276,18.510603],[-66.988958,18.497724],[-66.95954,18.489878],[-66.957733,18.489129],[-66.957517,18.489171],[-66.944636,18.491693],[-66.906872,18.483556],[-66.90143,18.484552],[-66.867386,18.490785],[-66.849673,18.490745],[-66.83694,18.487659],[-66.836635,18.487701],[-66.79932,18.492775],[-66.780311,18.491411],[-66.764893,18.484097],[-66.749301,18.476701],[-66.742067,18.474681],[-66.733986,18.473457],[-66.710743,18.472611],[-66.683719,18.481367],[-66.679876,18.484944],[-66.664364,18.487809],[-66.645839,18.488777],[-66.624618,18.494199],[-66.586778,18.484948],[-66.584074,18.484287],[-66.565241,18.485523],[-66.562916,18.48845],[-66.563485,18.490512],[-66.558503,18.489987],[-66.53484,18.481253],[-66.533487,18.481663],[-66.529476,18.482877],[-66.511609,18.476848],[-66.470292,18.46907],[-66.456486,18.46892],[-66.449184,18.470991],[-66.441852,18.479751],[-66.439961,18.485525],[-66.438813,18.485713]]]]},\"properties\":{\"name\":\"Puerto Rico\",\"nation\":\"USA  \"}}]}","volume":"24","noUsgsAuthors":false,"publicationDate":"2022-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Patton, Philip T.","contributorId":341512,"corporation":false,"usgs":false,"family":"Patton","given":"Philip","email":"","middleInitial":"T.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, Krishna","contributorId":341513,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908540,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237968,"text":"70237968 - 2022 - River Metabolism Estimation Tools (RiverMET) with demo in the Illinois River Basin","interactions":[],"lastModifiedDate":"2022-11-02T11:49:35.521099","indexId":"70237968","displayToPublicDate":"2022-05-31T06:47:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12802,"text":"ESSOAr","active":true,"publicationSubtype":{"id":10}},"title":"River Metabolism Estimation Tools (RiverMET) with demo in the Illinois River Basin","docAbstract":"<p><span>Ecosystem metabolism quantifies the rate of production, maintenance, and decay of organic matter in terrestrial and aquatic systems. It is a fundamental measure of energy flow associated with biomass production by photosynthesizing organisms and biomass oxidation by respiring plants, animals, algae, and bacteria (Bernhardt et al., 2022) . Ecosystem metabolism also provides an understanding of energy flow to higher trophic levels that supports secondary and tertiary productivity, as well as helping to explain when aquatic ecosystems undergo out-of-balance behaviors such as harmful algal blooms and hypoxia. Recent advances in sensor technology and modeling capabilities have enabled estimation of aquatic system metabolism and gas exchange over long time periods in rivers, streams, ponds, and wetlands where oxygen sensors have been deployed. Here we present RiverMET, a framework for estimation of river metabolism, with workflows to streamline data preparation, run a stream metabolism model, assess the model performance, and flag and censor final output data. The workflows are specifically tailored to use streamMetabolizer, a model for one-station calculations of stream metabolism that calculates gross primary productivity (GPP), ecosystem respiration (ER) and the air-water gas exchange rate constant (K600). We advise potential users of RiverMET to review core publications for the streamMetabolizer model (Appling et al., 2018 a, b, c) to ensure best practices that produce the most useful results. We encourage feedback about our workflows, although issues regarding the streamMetabolizer model itself should be referred to the model authors. We tested RiverMET by calculating GPP, ER, and K600 across 17 river sites in the Illinois River basin (ILRB). Each river had between one and nine years of sensor data appropriate for modeling metabolism. In total, metabolism was modeled on 15,176 days between 2005 and 2020. Overall confidence in the results was rated as high at nine river sites, medium at six river sites, and poor at two river sites. Twenty-nine percent of the total modeled days had performance metrics that triggered flags. Metrics used for daily flagging are provided with the final output, with an option to only retain the censored daily outputs with high confidence (representing 72 %, i.e., 10,938 days, of the total days modeled). This work was completed as part of the U.S. Geological Survey Proxies Project, an effort supported by the Water Mission Area (WMA) Water Quality Processes program to develop estimation methods for harmful algal blooms (HABs), per- and polyfluoroalkyl substances (PFAS), and metals, at multiple spatial and temporal scales.</span></p>","language":"English","publisher":"Earth and Space Science Open Archive","doi":"10.1002/essoar.10511255.1","usgsCitation":"Choi, J., Quion, K.M., Reed, A., and Harvey, J., 2022, River Metabolism Estimation Tools (RiverMET) with demo in the Illinois River Basin: ESSOAr, 22 p., https://doi.org/10.1002/essoar.10511255.1.","productDescription":"22 p.","ipdsId":"IP-139945","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":435833,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TEBOUR","text":"USGS data release","linkHelpText":"RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020"},{"id":409056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Illinois River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.901423683579,\n              42.70071815175049\n            ],\n            [\n              -91.86724399607925,\n              42.70071815175049\n            ],\n            [\n              -91.86724399607925,\n              39.14935275277796\n            ],\n            [\n              -86.901423683579,\n              39.14935275277796\n            ],\n            [\n              -86.901423683579,\n              42.70071815175049\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":856403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quion, Katherine Michelle Bernabe 0000-0003-2388-7508","orcid":"https://orcid.org/0000-0003-2388-7508","contributorId":298787,"corporation":false,"usgs":true,"family":"Quion","given":"Katherine","email":"","middleInitial":"Michelle Bernabe","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Ariel 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":298788,"corporation":false,"usgs":false,"family":"Reed","given":"Ariel","affiliations":[],"preferred":false,"id":856405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856406,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255807,"text":"70255807 - 2022 - Comparison of Digital Terrain Models from two photoclinometry methods","interactions":[],"lastModifiedDate":"2024-07-05T12:12:52.867955","indexId":"70255807","displayToPublicDate":"2022-05-30T07:04:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12997,"text":"International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of Digital Terrain Models from two photoclinometry methods","docAbstract":"<div class=\"abstract\"><p>We evaluate the horizontal resolution and vertical precision for digital topographic models (DTMs) of the Moon derived from image radiance information, a process known as photoclinometry (PC) or shape-from-shading (SfS). We use the implementations in two available planetary image processing software systems, single image PC in the U.S. Geological Survey Integrated Software for Imagers and Spectrometers (ISIS) system, and multi-image SfS in the Ames Stereo Pipeline (ASP), and test results obtained with and without use of a starting solution from stereo, with single and multiple images, and for varying illumination conditions. To obtain the higher quality reference DTMs against which the products can be evaluated, we derived DTMs by stereoanalysis of Lunar Reconnaissance Orbiter Narrow-Angle Camera (LROC NAC) images at their native pixel spacing of ∼0.5 m, then produced a 16-m/post stereo DTM from images downsampled to 4 m/pixel and refined it with images at 16 m/pixel. When used with a single image, both algorithms improved resolution (by a factor of 1.4 for PC and 2.4 for SfS compared to stereo). An albedo map produced in ISIS by ratioing the image to a simulation based on the stereo DTM was well correlated with one output by SfS. The albedo correction was crucial for PC with ∼60° incidence but not at ∼80°. DTMs produced by PC and SfS without a starting stereo DTM had larger errors but good detail, and could be useful for many applications. In SfS, it was necessary to increase smoothing to get a usable DTM when the weighting on an a priori DTM was reduced. Multi-image SfS including modeling of spatially varying albedo reduced vertical errors by factors of 1.5 or more compared to single-image SfS.</p></div>","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLIII-B3-2022-1059-2022","usgsCitation":"Kirk, R.L., Mayer, D., Dundas, C., Wheeler, B.H., Beyer, R.A., and Alexandrov, O., 2022, Comparison of Digital Terrain Models from two photoclinometry methods: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLIII-B3, p. 1059-1067, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1059-2022.","productDescription":"9 p.","startPage":"1059","endPage":"1067","ipdsId":"IP-138777","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":447636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xliii-b3-2022-1059-2022","text":"Publisher Index Page"},{"id":430791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLIII-B3","noUsgsAuthors":false,"publicationDate":"2022-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":905652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":905653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":905654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wheeler, Benjamin H 0000-0001-7070-9064 bwheeler@usgs.gov","orcid":"https://orcid.org/0000-0001-7070-9064","contributorId":290755,"corporation":false,"usgs":true,"family":"Wheeler","given":"Benjamin","email":"bwheeler@usgs.gov","middleInitial":"H","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":905655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":905656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexandrov, Oleg","contributorId":299745,"corporation":false,"usgs":false,"family":"Alexandrov","given":"Oleg","affiliations":[],"preferred":false,"id":905657,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237019,"text":"70237019 - 2022 - Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","interactions":[],"lastModifiedDate":"2022-09-27T18:26:23.163194","indexId":"70237019","displayToPublicDate":"2022-05-23T12:57:32","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","docAbstract":"Networks are defined as groups of interconnected people and things, and by this definition, networks play a major role in the science of inland waters. In this article, we bring the latest social network research to understand and improve inland waters science and conservation outcomes. What we found is that relationships matter.\n\nDifferent teams and networks have different objectives and lifespans. Consider this: Data collection networks may persist for decades, whereas knowledge-generating teams may exist only for months. The structure of connections in a network determines how easily information or resources can flow or pass through a network, which then influences the ability of the network to accomplish work like creating and applying new knowledge, integrating knowledge across fields, or coordinating collective action.\n\nWhen independent networks designed around different purposes become connected to achieve new goals, a network of networks is formed, where each layer is a unique network defined by social, geographic, and temporal boundaries and distinct types of connections. This structure has a lot of potential for transformative work, but is especially susceptible to failure if one of the cross-network connections fails.\n\nFrom the smallest of inland waters research teams to the largest, multi-institutional, international collaborations, an understanding of how the connections between people are created and maintained can be used to set up conditions for success.","largerWorkTitle":"Encyclopedia of inland waters","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00054-2","usgsCitation":"Read, E., Cross, J., Herman-Mercer, N.M., Oliver, S.K., and O’Reilly, C.M., 2022, Teams, networks, and networks of networks advancing our understanding and conservation of inland waters, chap. <i>of</i> Encyclopedia of inland waters, v. 4, p. 607-624, https://doi.org/10.1016/B978-0-12-819166-8.00054-2.","productDescription":"18 p.","startPage":"607","endPage":"624","ipdsId":"IP-126937","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Tockner, Klement","contributorId":224174,"corporation":false,"usgs":false,"family":"Tockner","given":"Klement","email":"","affiliations":[{"id":40838,"text":"FWF Austrian Science Fund","active":true,"usgs":false}],"preferred":false,"id":853141,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Mehner, Thomas","contributorId":272917,"corporation":false,"usgs":false,"family":"Mehner","given":"Thomas","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":853142,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":853096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Jennifer 0000-0002-5582-4192","orcid":"https://orcid.org/0000-0002-5582-4192","contributorId":297016,"corporation":false,"usgs":false,"family":"Cross","given":"Jennifer","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":853097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":853098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":853100,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231755,"text":"70231755 - 2022 - Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","interactions":[],"lastModifiedDate":"2022-05-25T15:00:58.75195","indexId":"70231755","displayToPublicDate":"2022-05-20T09:56:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","docAbstract":"<p><span>Pacific salmon and trout populations are affected by timber harvest, the removal and alteration of riparian vegetation, and the resulting physical changes to water quality, temperature, and associated delivery of high-quality terrestrial prey. Juvenile salmon and trout growth, a key predictor of survival, is poorly understood in the context of current and future (climate-change mediated) conditions, with resource managers needing information on how land use will impact future river conditions for these commercially and culturally important species. We used the Heat Source water temperature modeling framework to develop a spatiotemporal model to assess how riparian canopy and vegetation preservation and addition could influence river temperatures under future climate predictions in a coastal river fed by a moraine-dammed lake: the Quinault River in Washington State. The model predicted higher water temperatures under future carbon emission projections, representative concentration pathway (RCP) 4.5 and 8.5, with varying magnitude based on different riparian vegetation scenarios. We used the daily average temperature output from these scenarios to predict potential juvenile fish growth using the Wisconsin bioenergetics model. A combination of riparian vegetation removal and continued high carbon emissions resulted in a predicted seven-day average daily maximum temperature (7DADM) increase of 1.7°C in the lower river by 2080; increases in riparian shading mitigate this 7DADM increase to only 0.9°C. Under the current thermal regime, bioenergetics modeling predicts juvenile fish lose weight in the lower river; this loss of potential growth worsens by an average of 20–83% in the lower river by 2080, increasing with the loss of riparian shading. This study assess the impact of riparian vegetation management on future thermal habitat for Pacific salmon and trout under warming climates and provide a useful spatially explicit modeling framework that managers can use to make decisions regarding riparian vegetation management and its mechanistic impact to water temperature and rearing juvenile fish.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0266871","usgsCitation":"Spanjer, A.R., Gendaszek, A.S., Wulfkuhle, E.J., Black, R.W., and Jaeger, K.L., 2022, Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions: PLoS ONE, v. 17, no. 5, e0266871, 25 p., https://doi.org/10.1371/journal.pone.0266871.","productDescription":"e0266871, 25 p.","ipdsId":"IP-119800","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":447705,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0266871","text":"Publisher Index Page"},{"id":435843,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGI6GS","text":"USGS data release","linkHelpText":"Quinault River water temperature and salmon bioenergetics model data"},{"id":435842,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GSX4QE","text":"USGS data release","linkHelpText":"Water temperature and riparian vegetation survey data for the lower Quinault River, WA for select periods in 2018 and 2019"},{"id":401045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Quinault, Quinault River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulfkuhle, Elyse J.","contributorId":207132,"corporation":false,"usgs":false,"family":"Wulfkuhle","given":"Elyse","email":"","middleInitial":"J.","affiliations":[{"id":37427,"text":"Quinault Indian Tribe","active":true,"usgs":false}],"preferred":false,"id":843703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231812,"text":"70231812 - 2022 - Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","interactions":[],"lastModifiedDate":"2022-05-27T13:29:13.252547","indexId":"70231812","displayToPublicDate":"2022-05-20T08:24:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","docAbstract":"<p><span>Erosion rates&nbsp;along Alaska's Beaufort Sea coast, among the highest in the world, are negatively impacting communities, industrial and military infrastructure, and wildlife habitat. Decreasing maximal winter ice extent and increasing summer open water duration and extent in the Beaufort Sea may be making the coast more vulnerable to destructive storm waves than during recent, colder, icier decades. Previous studies of Beaufort Sea coastal change have been limited to subaerial analyses of the&nbsp;shoreline. Here we describe nearshore seafloor change by comparing post-World War II (WWII) (1945-53)&nbsp;bathymetry&nbsp;data to recently acquired (1985–2018) bathymetry data and relate the observed seafloor change to adjacent shoreline change near Utqiagvik, within Stefansson Sound, and immediately west of Barter Island and Kaktovik. Within the Utqiagvik region,&nbsp;seabed&nbsp;erosion was generally highest (&gt;1.0&nbsp;m of loss) offshore of Point&nbsp;Barrow&nbsp;and along the eastern end of the Tapkaluk Islands, while there were lesser amounts of deposition (&lt;0.5&nbsp;m of gain) within the protected waters of Elson&nbsp;Lagoon. Sedimentation was generally highest offshore of Point Barrow, in a region of converging currents, and on the landward side of the barrier islands and spits fronting Elson Lagoon, which is likely related to a regional trend of westerly&nbsp;sediment transport&nbsp;and landward migration of the barrier islands. Within Stefansson Sound, perhaps the most notable changes from post-WWII bathymetry data compared to recent data are a switch from mixed, low erosion and deposition in 1997 to low deposition (&lt;0.5&nbsp;m) in 2018 east of the Boulder Patch, a switch from low erosion in 1997 to neutral depth change in 2018 in the channel between the north and south Boulder Patch areas, and higher deposition from 1997 to 2018 landward of the rapidly retreating barrier islands along the Sound's northern border. At Barter Island, high erosion near north-facing shorelines and high deposition near west-facing shorelines generally matched shoreline changes. One of our goals is to identify possible processes responsible for the depth changes we quantified. Using simple metrics that relate sediment characteristics with modeled waves and non-wave induced currents, we show that sediment&nbsp;</span>resuspension<span>&nbsp;and transport by both wave and non-wave driven currents likely contribute to the overall patterns of change within the ∼13&nbsp;m isobath along the open coast, and that the influence of wave action affecting sediment transport is expanding seaward.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2022.104745","usgsCitation":"Zimmermann, M., Erikson, L.H., Gibbs, A.E., Prescott, M., Escarzaga, S.M., Tweedie, C.E., Kasper, J., and Duvoy, P.X., 2022, Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers: Continental Shelf Research, v. 242, 104745, 15 p., https://doi.org/10.1016/j.csr.2022.104745.","productDescription":"104745, 15 p.","ipdsId":"IP-132441","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2022.104745","text":"Publisher Index Page"},{"id":401293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.00390625,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              72.39570570653261\n            ],\n            [\n              -164.00390625,\n              72.39570570653261\n            ],\n            [\n              -164.00390625,\n              69.33383491964828\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"242","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":843888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":843889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prescott, Megan M.","contributorId":292137,"corporation":false,"usgs":false,"family":"Prescott","given":"Megan M.","affiliations":[{"id":62835,"text":"Lynker Technologies, Under contract to Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":843891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Escarzaga, Stephen M.","contributorId":279732,"corporation":false,"usgs":false,"family":"Escarzaga","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":843892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tweedie, Craig E.","contributorId":200176,"corporation":false,"usgs":false,"family":"Tweedie","given":"Craig","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":843893,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":843894,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duvoy, Paul X.","contributorId":292138,"corporation":false,"usgs":false,"family":"Duvoy","given":"Paul","email":"","middleInitial":"X.","affiliations":[{"id":62836,"text":"Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA","active":true,"usgs":false}],"preferred":false,"id":843895,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}