{"pageNumber":"220","pageRowStart":"5475","pageSize":"25","recordCount":184715,"records":[{"id":70251334,"text":"70251334 - 2023 - Creating an updated vegetation map for Big Oaks National Wildlife Refuge: Final report","interactions":[],"lastModifiedDate":"2024-02-07T12:33:12.283061","indexId":"70251334","displayToPublicDate":"2023-12-28T06:29:06","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Creating an updated vegetation map for Big Oaks National Wildlife Refuge: Final report","docAbstract":"<p><span>Although Big Oaks NWR encompasses much diversity in wildlife species, an up-to-date, detailed, and comprehensive map showing vegetation types was lacking. The creation of an updated vegetation map for Big Oaks NWR was approved in early 2019. Digital aerial imagery was collected on November 1, 2019 at a resolution of 0.15 meter per pixel using four spectral bands: red, green, blue, and near infrared. A mapping classification was developed in collaboration with refuge managers to reflect the vegetation present at Big Oaks NWR.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Hoy, E.E., 2023, Creating an updated vegetation map for Big Oaks National Wildlife Refuge: Final report, 8 p.","productDescription":"8 p.","ipdsId":"IP-131537","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":425426,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/150312"},{"id":425461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Big Oaks National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.59449337067811,\n              39.14762004874632\n            ],\n            [\n              -85.59449337067811,\n              38.78679267069219\n            ],\n            [\n              -85.22372347544791,\n              38.78679267069219\n            ],\n            [\n              -85.22372347544791,\n              39.14762004874632\n            ],\n            [\n              -85.59449337067811,\n              39.14762004874632\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":894147,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70256511,"text":"70256511 - 2023 - Ectoparasitism and energy infrastructure limit survival of preadult Golden Eagles in the Southern Great Plains","interactions":[],"lastModifiedDate":"2024-08-12T16:23:18.994532","indexId":"70256511","displayToPublicDate":"2023-12-27T11:09:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Ectoparasitism and energy infrastructure limit survival of preadult Golden Eagles in the Southern Great Plains","docAbstract":"<p><span>Much of the US Southern Great Plains (SGP) continues to undergo intensive energy development that could affect the region's Golden Eagles (</span><i>Aquila chrysaetos</i><span>), yet the species' population status there is unknown. During 2011–2020, we used satellite telemetry to assess annual survival rates and causes of mortality among 40 preadult (&lt;3 yr of age) Golden Eagles in the SGP; 29 were monitored beginning at the late nestling stage and 11 immigrated into the SGP from western regions. For comparison we monitored 15 preadult Golden Eagles from nests in the Central Great Plains (CGP), where energy development was less extensive. We estimated survival rates by using a multi-state model in a Bayesian framework that accounted for probabilities of causes of death. Mean annual survival in the SGP during the preadult period was 0.060, versus 0.512 in the CGP and ∼0.7–0.9 reported elsewhere in the coterminous western USA. Mexican chicken bugs (</span><i>Haematosiphon inodorus</i><span>) were implicated in deaths of at least seven Golden Eagles during the ∼2-wk late nestling stage and in two deaths &lt;3 mo after fledging. Energy infrastructure especially electrocutions accounted for 12 (57.1%) of 21 deaths of post-fledged preadults. Seven of 11 immigrant eagles died. Overall, probabilities of death of a Golden Eagle during the preadult period in the SGP due to Mexican chicken bugs and to electrocution were both 0.345. We estimated that the SGP population may be declining 9% annually due to poor recruitment; mitigation of underlying factors should be a priority for managing Golden Eagles in the western USA.</span></p>","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/JRR-21-72","usgsCitation":"Murphy, R.K., Millsap, B.A., Stahlecker, D.W., Boal, C.W., Smith, B.W., Mullican, S.D., and Borgman, C.C., 2023, Ectoparasitism and energy infrastructure limit survival of preadult Golden Eagles in the Southern Great Plains: Journal of Raptor Research, v. 57, no. 4, p. 505-521, https://doi.org/10.3356/JRR-21-72.","productDescription":"17 p.","startPage":"505","endPage":"521","ipdsId":"IP-134885","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-21-72","text":"Publisher Index Page"},{"id":432490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","otherGeospatial":"Southern Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.72793700699765,\n              38.81212221224669\n            ],\n            [\n              -105.72793700699765,\n              30.814517878279688\n            ],\n            [\n              -100.1803240398034,\n              30.814517878279688\n            ],\n            [\n              -100.1803240398034,\n              38.81212221224669\n            ],\n            [\n              -105.72793700699765,\n              38.81212221224669\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Robert K.","contributorId":67643,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56253,"text":"Eagle Environmental, Inc","active":true,"usgs":false}],"preferred":false,"id":907745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millsap, Brian A.","contributorId":75841,"corporation":false,"usgs":true,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":907746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stahlecker, Dale W.","contributorId":305748,"corporation":false,"usgs":false,"family":"Stahlecker","given":"Dale","email":"","middleInitial":"W.","affiliations":[{"id":66288,"text":"Eagle Environmental Inc","active":true,"usgs":false}],"preferred":false,"id":907747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":907748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Brian W.","contributorId":199748,"corporation":false,"usgs":false,"family":"Smith","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":907749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mullican, Shea D.","contributorId":340972,"corporation":false,"usgs":false,"family":"Mullican","given":"Shea","email":"","middleInitial":"D.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borgman, Corrie C.","contributorId":340973,"corporation":false,"usgs":false,"family":"Borgman","given":"Corrie","email":"","middleInitial":"C.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907751,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257327,"text":"70257327 - 2023 - Declining American Goshawk (Accipiter atricapillus) nest site habitat suitability in a timber production landscape: Effects of abiotic, biotic, and forest management factors","interactions":[],"lastModifiedDate":"2024-08-28T16:09:16.379927","indexId":"70257327","displayToPublicDate":"2023-12-27T10:52:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Declining American Goshawk (<i>Accipiter atricapillus</i>) nest site habitat suitability in a timber production landscape: Effects of abiotic, biotic, and forest management factors","title":"Declining American Goshawk (Accipiter atricapillus) nest site habitat suitability in a timber production landscape: Effects of abiotic, biotic, and forest management factors","docAbstract":"<p><span>Conservation of the American Goshawk (</span><i>Accipiter atricapillus</i><span>; hereafter goshawk) has been contentious in relation to forest management. Higher quality goshawk nesting habitat is generally considered to consist of contiguous tracts of mature forest, due to goshawks' large home ranges, territoriality, and food requirements. The large trees of mature forest have the greatest economic value to timber companies. We used long-term (1965–2019) data from 281 goshawk nest site locations in the Black Hills National Forest (BHNF), South Dakota, and Wyoming, USA, to evaluate (1) abiotic and biotic factors associated with goshawk nest site habitat suitability (hereafter habitat suitability); (2) changes in habitat suitability over time; and (3) the effect of anthropogenic activities and natural disturbances on habitat suitability. We evaluated forest attributes across five spatial scales relevant to goshawks, used information-theoretic methods to rank and select models, and assessed the predictive capability of the best-approximating models using the concordance statistic. The best-approximating model had excellent predictive capability (concordance = 0.821). Forest attributes at the 12-ha scale were a better predictor of goshawk habitat suitability than covariates evaluated at the point or &gt;12-ha scales, indicating the importance of managing goshawk habitat beyond the nest tree, but within the nest stand. Goshawk habitat suitability was positively related to mean percent canopy cover and median canopy base height, and negatively related to variability in canopy base height within 12 ha of the location. As mean percent canopy cover within 12 ha of a location increased, goshawk habitat suitability increased more slowly in burned compared to unburned areas. Commercial thinning treatments were more likely to occur in closed canopy forest that already had a higher likelihood of goshawk nesting, and we documented a positive relationship between habitat suitability and the interaction of canopy cover with commercial thinning. Goshawk habitat suitability was negatively related to slope and distance to drainage bottoms, and positively related to distance to ridges, which may be related to microclimatic factors. Our results indicate goshawk habitat suitability decreased across the BHNF over the past three decades and much high-quality nesting habitat was lost during this period due to a combination of unsustainable timber harvest and natural disturbances. Minimizing forest management activities that decrease canopy cover and canopy base height, and increase variability in canopy base height in areas of high- and medium-quality goshawk habitat are likely to slow the loss of higher-quality habitat and allow development of future nesting habitat. In addition to informing management, this study demonstrates the value of using existing long-term legacy datasets in conjunction with time series of remotely sensed habitat attributes to evaluate changes in habitat suitability for raptors in heavily managed landscapes with extensive natural disturbances.</span></p>","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/JRR-22-116","usgsCitation":"Bruggeman, J., Kennedy, P., Andersen, D.E., Deisch, S., and Dowd Stukel, E., 2023, Declining American Goshawk (Accipiter atricapillus) nest site habitat suitability in a timber production landscape: Effects of abiotic, biotic, and forest management factors: Journal of Raptor Research, v. 57, no. 4, p. 595-616, https://doi.org/10.3356/JRR-22-116.","productDescription":"22 p.","startPage":"595","endPage":"616","ipdsId":"IP-131063","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Black Hills National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.43693855745735,\n              43.356145430824284\n            ],\n            [\n              -103.2453110990768,\n              43.65127660509563\n            ],\n            [\n              -103.28799233163049,\n              44.184936790000336\n            ],\n            [\n              -103.5682101102287,\n              44.47034928011246\n            ],\n            [\n              -104.02419632305251,\n              44.568539246903015\n            ],\n            [\n              -104.35190822302025,\n              44.83186690058787\n            ],\n            [\n              -104.60789383129,\n              44.58876639683757\n            ],\n            [\n              -104.61727412202488,\n              44.439874040779614\n            ],\n            [\n              -104.32767875182326,\n              44.24995062651524\n            ],\n            [\n              -104.05715060176854,\n              44.1638696947999\n            ],\n            [\n              -104.03414949657513,\n              43.9000787982707\n            ],\n            [\n              -103.98071548762339,\n              43.5157370272095\n            ],\n            [\n              -103.75626279313133,\n              43.3596577295468\n            ],\n            [\n              -103.43693855745735,\n              43.356145430824284\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":342294,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason E.","affiliations":[{"id":81853,"text":"Beartooth Wildlife Research LLC","active":true,"usgs":false}],"preferred":false,"id":909974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Patricia L.","contributorId":342295,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":909973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deisch, Shelly","contributorId":342296,"corporation":false,"usgs":false,"family":"Deisch","given":"Shelly","email":"","affiliations":[{"id":56698,"text":"South Dakota Department of Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":909976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dowd Stukel, Eileen","contributorId":342297,"corporation":false,"usgs":false,"family":"Dowd Stukel","given":"Eileen","email":"","affiliations":[{"id":56698,"text":"South Dakota Department of Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":909977,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257417,"text":"70257417 - 2023 - Movement beyond the mean: decoupling sources of individual variation in brook trout movement across seasons","interactions":[],"lastModifiedDate":"2024-08-30T16:58:39.413821","indexId":"70257417","displayToPublicDate":"2023-12-27T09:49:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Movement beyond the mean: decoupling sources of individual variation in brook trout movement across seasons","docAbstract":"<p><span>Movement is an important eco-evolutionary process that can shape population and ecosystem structure and function. Accordingly, a firm understanding of species movement ecology is often foundational to effective management and conservation. However, despite movement being an inherently individual-level behavior, there remains a tendency to describe dispersal and migration patterns using simple population-level processes and effects. Overlooking within- and among-individual variation in movement risks incomplete understanding of the intrinsic and extrinsic factors that govern dispersal dynamics and could potentially result in inadequate management of critical behavioral phenotypes. In this study, we monitored movement of over 100 brook trout (</span><i>Salvelinus fontinalis</i><span>) and quantified the effect of individual-level traits, season, and their interactions to better understand factors that influence vagility. Our results suggest that movement was higher in fall than in summer, particularly for fish in poor condition. But we found no significant main effects for sex, providing no evidence for sex-biased dispersal. To better understand sources of individual variation, we also allowed for sex- and season-specific residual standard deviations. In doing so, we found that, on average, movement was more variable in fall compared to summer, and that females were more variable than males in vagility. Taken together, these results demonstrate how intrinsic, individual-level traits can interact with abiotic environmental conditions to determine movement. They also highlight the potential for simple explanations of movement ecology to overlook important traits that may help predict individual-level behaviors.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10641-023-01501-2","usgsCitation":"White, S.L., Keagy, J., Batchelor, S., Langlois, J., Thomas, N., and Wagner, T., 2023, Movement beyond the mean: decoupling sources of individual variation in brook trout movement across seasons: Environmental Biology of Fishes, v. 106, p. 2205-2218, https://doi.org/10.1007/s10641-023-01501-2.","productDescription":"14 p.","startPage":"2205","endPage":"2218","ipdsId":"IP-154899","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":433386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Loyalsock Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.06519870933498,\n              41.59744767846257\n            ],\n            [\n              -77.06519870933498,\n              40.982390970848996\n            ],\n            [\n              -76.5874262429697,\n              40.982390970848996\n            ],\n            [\n              -76.5874262429697,\n              41.59744767846257\n            ],\n            [\n              -77.06519870933498,\n              41.59744767846257\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"106","noUsgsAuthors":false,"publicationDate":"2023-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keagy, Jason","contributorId":342684,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batchelor, Sarah","contributorId":342686,"corporation":false,"usgs":false,"family":"Batchelor","given":"Sarah","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langlois, Julia","contributorId":342688,"corporation":false,"usgs":false,"family":"Langlois","given":"Julia","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Natalie","contributorId":342690,"corporation":false,"usgs":false,"family":"Thomas","given":"Natalie","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251309,"text":"70251309 - 2023 - Winter distribution of golden eagles in the Eastern USA","interactions":[],"lastModifiedDate":"2024-02-03T15:20:51.605387","indexId":"70251309","displayToPublicDate":"2023-12-27T09:13:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Winter distribution of golden eagles in the Eastern USA","docAbstract":"<p id=\"ID0EF\" class=\"first\">Golden Eagles (<i>Aquila chrysaetos</i>) have a Holarctic distribution, but some details of that overall distribution are poorly understood, including parts of the range in eastern North America. Recent studies in the region suggest that Golden Eagles may be more widely distributed than previously recognized. For species specific conservation efforts to be effective, an understanding of the distribution of the species is essential. Thus, the goal of this study was to map the winter distribution of Golden Eagles in the eastern half of the USA. To accomplish this, we reviewed and compiled 11,981 Golden Eagle records from eight data sources, including literature and ornithology records, community science data, survey data, and telemetry data. We found that Golden Eagles were observed in winter in each of the 31 states that lie completely east of the 100th meridian and in 1244 of the 2045 counties (61%) in those states. The proportion of counties with records varied by physiographic province, with higher proportions in physiographic provinces with more rugged terrain and greater forest cover. Our study shows that Golden Eagles are more widely distributed during winter in eastern USA states than was previously recognized. This work provides an important foundation for future management and research at a time when threats to this species are expanding rapidly on the landscape.</p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-23-00012","usgsCitation":"Miller, T., Lanzone, M., Braham, M., Adam Duerr, Cooper, J., Somershoe, S., Hanni, D., Soehren, E.C., Threadgill, C., Maddox, M., Stober, J., Kelly, C.A., Salo, T., Berry, A., Martell, M., Mehus, S., Dirks, B., Sargent, R., and Katzner, T., 2023, Winter distribution of golden eagles in the Eastern USA: Journal of Raptor Research, v. 57, no. 4, p. 522-532, https://doi.org/10.3356/JRR-23-00012.","productDescription":"11 p.","startPage":"522","endPage":"532","ipdsId":"IP-151100","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":425370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70243946,"text":"sir20235051 - 2023 - Automated construction of Streamflow-Routing networks for MODFLOW—Application in the Mississippi Embayment region","interactions":[],"lastModifiedDate":"2023-12-23T14:28:31.061588","indexId":"sir20235051","displayToPublicDate":"2023-12-22T15:44:25","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5051","displayTitle":"Automated Construction of Streamflow-Routing Networks for MODFLOW—Application in the Mississippi Embayment Region","title":"Automated construction of Streamflow-Routing networks for MODFLOW—Application in the Mississippi Embayment region","docAbstract":"<p>In humid regions with dense stream networks, surface water exerts a fundamental control on the water levels and flow directions of shallow groundwater. Understanding interactions between groundwater and surface water is critical for managing groundwater resources and groundwater-dependent ecosystems. Representing streams in groundwater models has historically been arduous and error prone. In recent years, however, all the information needed to numerically describe stream boundary conditions for a model area has become readily available online, as have robust open-source software tools for translating that information to a model grid. The SFRmaker Python package leverages geospatial capabilities in the scientific Python ecosystem to robustly automate the production of input to the Streamflow-Routing (SFR) Package of MODFLOW from the National Hydrography Dataset Plus or other hydrography data. This report documents an application of SFRmaker to automate production of SFR Package input for groundwater models within the Mississippi Embayment Regional Aquifer Study area. SFR Package input was developed in three steps: (1) preprocessing to develop a single set of grid-independent flowlines from National Hydrography Dataset Plus version 2 data; (2) setting up the SFR package from the preprocessed flowlines, and (3) correcting streambed top elevations after an initial model run. Separating the hydrography preprocessing from the construction of SFR Package input was advantageous in that it minimized the need to repeat computationally expensive geoprocessing (thereby speeding model construction) and also allowed for the curation of a single set of grid-independent SFR input data that can be used for any MODFLOW model within the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235051","usgsCitation":"Leaf, A.T., 2023, Automated construction of Streamflow-Routing networks for MODFLOW—Application in the Mississippi Embayment region: U.S. Geological Survey Scientific Investigations Report 2023–5051, 28 p., https://doi.org/10.3133/sir20235051.","productDescription":"Report: vii, 28 p.; 4 Data Releases; Dataset","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-105069","costCenters":[{"id":37947,"text":"Upper Midwest Water Science 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,{"id":70250336,"text":"sir20235100 - 2023 - Simulating groundwater flow in the Mississippi Alluvial Plain with a focus on the Mississippi Delta","interactions":[],"lastModifiedDate":"2026-03-13T15:20:23.277736","indexId":"sir20235100","displayToPublicDate":"2023-12-22T15:26:20","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5100","displayTitle":"Simulating Groundwater Flow in the Mississippi Alluvial Plain with a Focus on the Mississippi Delta","title":"Simulating groundwater flow in the Mississippi Alluvial Plain with a focus on the Mississippi Delta","docAbstract":"<p>The Mississippi Alluvial Plain has become one of the most important agricultural regions in the United States but relies heavily on groundwater for irrigation. On average, more than 12 billion gallons are withdrawn daily from the Mississippi River Valley alluvial aquifer. Declining groundwater levels, especially in the Delta region of northwest Mississippi and the Cache and Grand Prairie regions of eastern Arkansas, have led to concerns about future sustainability. The U.S. Geological Survey Mississippi Alluvial Plain Project is focused on quantifying the groundwater system in the alluvial plain and the response of groundwater resources to future development. A key objective of the project is to provide updated groundwater flow models supported by extensive data collection and analyses. MODFLOW 6, PEST++, and several open-source python packages were used to develop a simplified, faster running version of the Mississippi Embayment Regional Aquifer Study model that can provide boundary conditions for local inset models, including the Mississippi Delta model described in this report. An automated workflow was used for model construction, history matching, and development of baseline future climate scenarios. The models incorporate information from a Soil-Water-Balance code simulation of the terrestrial water balance, metering-based estimates of water use from thousands of wells, measured and estimated streamflow and stages, and the largest airborne electromagnetic survey flown to date in the United States. Baseline scenarios for the Mississippi Delta under potential future climates were constructed using recharge, surface runoff and irrigation pumping forcings from a future version of the Soil-Water-Balance model, driven by downscaled temperature and precipitation output from 10 general circulation model simulations, including high and moderate carbon emissions pathways.</p><p>Results indicate a complex water balance that varies in time and space in terms of the terrestrial recharge, stream leakage, and regional groundwater flow components, which are affected by seasonal forcings, human activity, and alluvial geomorphology. The general circulation model outputs indicate a continued rise in average temperatures but no clear precipitation trend. Increased crop water demand is anticipated from the higher temperatures, resulting in increased irrigation withdrawals to sustain current levels of irrigated agriculture. Simulated drawdowns in groundwater levels at the mid-21st century vary greatly. Under moderate or wet climate scenarios, and in parts of the aquifer that are well connected to surface water, little to no additional drawdown is anticipated. Under dry or warm scenarios, drawdowns of as much as 10 meters or more are possible in parts of the aquifer that are relatively disconnected from surface water. Under dry or warm scenarios, the portion of the Delta with greater than 60 feet of saturated thickness could be reduced from near 100 percent currently (2018) to 80–90 percent by mid-century. Future simulations with the model could include alternative management scenarios to identify options for improving groundwater sustainability. The automated model construction workflows are designed to facilitate regular updating, making this a “living” framework that the Mississippi Department of Environmental Quality and other stakeholders can use for adaptive management going forward.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235100","programNote":"Water Use and Availability Science Program","usgsCitation":"Leaf, A.T., Duncan, L.L., Haugh, C.J., Hunt, R.J., and Rigby, J.R., 2023, Simulating groundwater flow in the Mississippi Alluvial Plain with a focus on the Mississippi Delta: U.S. Geological Survey Scientific Investigations Report 2023–5100, 143 p., https://doi.org/10.3133/sir20235100.","productDescription":"Report: viii, 143 p.; 4 Data Releases","numberOfPages":"156","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-135342","costCenters":[{"id":37947,"text":"Upper Midwest Water Science 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Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area Description and Hydrogeologic Setting</li><li>Conceptual Model</li><li>Modeling Approach</li><li>Results and Discussion</li><li>Assumptions, Limitations, and Suggestions for Future Work</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Groundwater Flow Model Constructions</li><li>Appendix 2. Parameter Estimation and Uncertainty Analysis</li><li>Appendix 3. Additional Model Results</li><li>Appendix 4. General Circulation Models Used in the Future Climate Scenarios</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-22","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncan, Leslie L. 0000-0002-5938-5721","orcid":"https://orcid.org/0000-0002-5938-5721","contributorId":204004,"corporation":false,"usgs":true,"family":"Duncan","given":"Leslie","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haugh, Connor J. 0000-0002-5204-8271","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":219945,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":260894,"corporation":false,"usgs":true,"family":"Rigby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889498,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250314,"text":"sir20235080 - 2023 - Updated estimates of water budget components for the Mississippi Embayment Region using a soil-water-balance model, 2000–2020","interactions":[],"lastModifiedDate":"2026-03-12T20:54:31.140336","indexId":"sir20235080","displayToPublicDate":"2023-12-22T15:17:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5080","displayTitle":"Updated Estimates of Water Budget Components for the Mississippi Embayment Region Using a Soil-Water-Balance Model, 2000–2020","title":"Updated estimates of water budget components for the Mississippi Embayment Region using a soil-water-balance model, 2000–2020","docAbstract":"<p>A Soil-Water-Balance (SWB) model for the Mississippi embayment region in Arkansas, Tennessee, Mississippi, and Louisiana was constructed and calibrated to gain insight into potential recharge patterns for the Mississippi River Valley alluvial aquifer, which has had substantial drawdown under intense pumping stress over the last several decades. An analysis of the net infiltration term from the SWB model combined with newly gathered airborne electromagnetic geophysical data on the surficial sediments in a calibrated modular three-dimensional finite-difference (MODFLOW 6) groundwater flow model of one area in the alluvial plain found that the distribution of net infiltration was significantly different from the recharge that gets to the water table through the complicated silt and clay stratigraphy of the unsaturated zone. The net infiltration of water through the rooting zone as simulated by SWB ranges from 5.7 to 12.3 inches per year in the alluvial plain part of the model domain, and is fairly evenly distributed within local areas. Recharge to the underlying aquifer is less and is much more focused in particular zones where the connectivity through the upper layers of the unsaturated zone above the water table is greater, indicating possible horizontal flow and perched water table conditions in the unsaturated zone. Runoff and net infiltration together account for 32 percent of the incoming precipitation overall and somewhat higher percentages in the alluvial plain area on an annual basis. These terms are much higher in the fall and winter than in the summer. Actual evapotranspiration accounts for between 62 and 72 percent on average of the annual precipitation but dominates all other terms in the summer months. Without irrigation, summertime net infiltration and runoff would be near zero in the crop-dominated alluvial plain area. The SWB model reproduced reported irrigation rates for corn, soybeans, rice, and cotton on an annual basis fairly well. The SWB model for the Mississippi embayment region was calibrated using more than 15,000 observations representing four parts of the calculated water budget: actual evapotranspiration, surface runoff, net infiltration, and irrigation. Using a Monte Carlo approach to determine the uncertainty in the model results stemming from the uncertainty in the model parameters used in the calibration, the uncertainty in the annual actual evapotranspiration values was around 5 percent, whereas the uncertainty in the irrigation, net infiltration, and runoff was around 20 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235080","programNote":"Water Availability and Use Science Program","usgsCitation":"Nielsen, M.G., and Westenbroek, S.M., 2023, Updated estimates of water budget components for the Mississippi embayment region using a Soil-Water-Balance model, 2000–2020: U.S. Geological Survey Scientific Investigations Report 2023–5080, 58 p., https://doi.org/10.3133/sir20235080","productDescription":"Report: vii, 58 p.; Data Release; 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archive and output files for net infiltration, runoff, and irrigation water use for the Mississippi Embayment Regional Aquifer System, 2000 to 2020, simulated with the Soil-Water-Balance model"}],"country":"United States","otherGeospatial":"Mississippi Embayment Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.12089542031869,\n              28.886284478842654\n            ],\n            [\n              -86.65019229531852,\n              28.886284478842654\n            ],\n            [\n              -86.65019229531852,\n              37.89501192204163\n            ],\n            [\n              -94.12089542031869,\n              37.89501192204163\n            ],\n            [\n              -94.12089542031869,\n              28.886284478842654\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, WI 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods—Soil-Water-Balance Model Construction and Calibration</li><li>Results and Discussion</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-22","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 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,{"id":70250673,"text":"sir20235125 - 2023 - Trace metal and phosphorus loading from groundwater seepage into South Fork Coeur d’Alene River after remediation at the Bunker Hill Superfund Site, northern Idaho, 2022","interactions":[],"lastModifiedDate":"2026-03-13T15:42:11.928884","indexId":"sir20235125","displayToPublicDate":"2023-12-22T13:38:58","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5125","displayTitle":"Trace Metal and Phosphorus Loading from Groundwater Seepage into South Fork Coeur d'Alene River After Remediation at the Bunker Hill Superfund Site, Northern Idaho, 2022","title":"Trace metal and phosphorus loading from groundwater seepage into South Fork Coeur d’Alene River after remediation at the Bunker Hill Superfund Site, northern Idaho, 2022","docAbstract":"<p>Widely dispersed waste products from historical mining in northern Idaho’s Coeur d’Alene mining district have long been a concern in the Coeur d’Alene River Basin in northern Idaho. The Central Impoundment Area (CIA), an unlined mining waste repository that is part of the Bunker Hill Superfund Site designated in 1983, is adjacent to the South Fork Coeur d’Alene River between Kellogg and Smelterville, Idaho. Previous studies, including a pre-remediation seepage study completed by the U.S. Geological Survey (USGS) in 2017, have identified groundwater seepage from beneath the CIA as a major contributor to trace-metal and nutrient loads (including zinc, cadmium, and phosphorus) in the South Fork Coeur d’Alene River. A major remediation project, led by the U.S. Environmental Protection Agency from late 2017 to 2021, specifically aimed to reduce groundwater loading to the river via a groundwater collection system (GWCS) at the CIA. In 2022, the USGS completed a post-remediation seepage study to quantify zinc, cadmium, and phosphorus loading from groundwater to the South Fork Coeur d’Alene River in the same reach as the 2017 pre-remediation study. Like in the previous USGS study, discharge measurements and water-quality samples were collected during base-flow conditions in the South Fork Coeur d’Alene River between Kellogg and Smelterville as well as in surface-water inputs to the reach. Results of this study show a reduction in groundwater loads of dissolved zinc, dissolved cadmium, and total phosphorus entering the South Fork Coeur d’Alene River compared to 2017. The largest reductions in groundwater loading to the South Fork Coeur d’Alene River occurred in a discrete section (the middle section) of the reach adjacent to the CIA where the GWCS was expected to have the biggest impact. In the South Fork Coeur d’Alene River middle section, loads from groundwater (presented as a mean plus or minus [±] standard deviation) of dissolved zinc decreased from 85 ± 9.3 kilograms per day (kg/d) in 2017 to 11.6 ± 19.2 kg/d in 2022 (86-percent reduction), dissolved cadmium decreased from 0.59 ± 0.10 kg/d in 2017 to 0.11 ± 0.06 kg/d in 2022 (81-percent reduction), and total phosphorus decreased from 6.5 ± 0.45 kg/d in 2017 to 0.79 ± 0.97 kg/d in 2022 (88-percent reduction). In addition to reduced groundwater loading, lower concentrations of dissolved zinc, dissolved cadmium, and total phosphorus were observed at the site farthest downstream from the GWCS. Furthermore, the ambient water-quality-criteria ratios decreased at all river monitoring sites in 2022, although zinc and cadmium concentrations still exceeded the site-specific criteria designated to protect aquatic life. This post-remediation study indicates that the GWCS at the CIA has reduced groundwater loading of trace metals and phosphorus to the South Fork Coeur d’Alene River. This reduction in trace metals and phosphorus in South Fork Coeur d’Alene River also has implications for water quality downstream in the main-stem Coeur d’Alene River and in Coeur d’Alene Lake.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235125","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Murray, E.M., and Zinsser, L.M., 2023, Trace metal and phosphorus loading from groundwater seepage into South Fork Coeur d’Alene River after remediation at the Bunker Hill Superfund Site, northern Idaho, 2022: U.S. Geological Survey Scientific Investigations Report 2023–5125, 26 p., https://doi.org/10.3133/sir20235125.","productDescription":"Report: viii, 26 p.; 4 Tables","onlineOnly":"Y","ipdsId":"IP-140271","costCenters":[{"id":343,"text":"Idaho Water Science 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2023-5125"},{"id":423868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5125/sir20235125.jpg"},{"id":423875,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2023/5125/sir20235125_table04.xlsx","text":"Table 4","size":"26 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 4"},{"id":423873,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2023/5125/sir20235125_table03.xlsx","text":"Table 3","size":"32 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 3"},{"id":423872,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5125/sir20235125.xml"},{"id":423877,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20195113","text":"Scientific Investigations Report 2019-5113 —","description":"SIR 2019-5113","linkHelpText":"Trace metal and nutrient loads from groundwater seepage into the South Fork Coeur d’Alene River near Smelterville, northern Idaho, 2017"},{"id":501161,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115889.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Bunker Hill Superfund Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.0,\n              47.45\n            ],\n            [\n              -117.0,\n              47.15\n            ],\n            [\n              -115.3,\n              47.15\n            ],\n            [\n              -115.34,\n              47.45\n            ],\n            [\n              -117.0,\n              47.45\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702-4250</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2023-12-22","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Erin M. 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":206449,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science 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,{"id":70250884,"text":"70250884 - 2023 - Biophysical drivers of coastal treeline elevation","interactions":[],"lastModifiedDate":"2024-01-10T15:37:26.82709","indexId":"70250884","displayToPublicDate":"2023-12-22T09:33:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical drivers of coastal treeline elevation","docAbstract":"<p><span>Sea level rise is leading to the rapid migration of marshes into coastal forests and other terrestrial ecosystems. Although complex biophysical interactions likely govern these ecosystem transitions, projections of sea level driven land conversion commonly rely on a simplified “threshold elevation” that represents the elevation of the marsh-upland boundary based on tidal datums alone. To determine the influence of biophysical drivers on threshold elevations, and their implication for land conversion, we examined almost 100,000 high-resolution marsh-forest boundary elevation points, determined independently from tidal datums, alongside hydrologic, ecologic, and geomorphic data in the Chesapeake Bay, the largest estuary in the U.S. located along the mid-Atlantic coast. We find five-fold variations in threshold elevation across the entire estuary, driven not only by tidal range, but also salinity and slope. However, more than half of the variability is unexplained by these variables, which we attribute largely to uncaptured local factors including groundwater discharge, microtopography, and anthropogenic impacts. In the Chesapeake Bay, observed threshold elevations deviate from predicted elevations used to determine sea level driven land conversion by as much as the amount of projected regional sea level rise by 2050. These results suggest that local drivers strongly mediate coastal ecosystem transitions, and that predictions based on elevation and tidal datums alone may misrepresent future land conversion.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007525","usgsCitation":"Molino, G., Carr, J., Ganju, N., and Kirwan, M., 2023, Biophysical drivers of coastal treeline elevation: JGR Biogeosciences, v. 128, no. 12, e2023JG007525, 18 p., https://doi.org/10.1029/2023JG007525.","productDescription":"e2023JG007525, 18 p.","ipdsId":"IP-152726","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jg007525","text":"Publisher Index Page"},{"id":424278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.8511875475028,\n              39.673022111699964\n            ],\n            [\n              -76.8511875475028,\n              36.994029518343055\n            ],\n            [\n              -75.03985116290059,\n              36.994029518343055\n            ],\n            [\n              -75.03985116290059,\n              39.673022111699964\n            ],\n            [\n              -76.8511875475028,\n              39.673022111699964\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Molino, Grace 0000-0001-7345-8619","orcid":"https://orcid.org/0000-0001-7345-8619","contributorId":292186,"corporation":false,"usgs":false,"family":"Molino","given":"Grace","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":891909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":891910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":891911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirwan, Mathew 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":333093,"corporation":false,"usgs":false,"family":"Kirwan","given":"Mathew","email":"","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":891912,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250923,"text":"70250923 - 2023 - A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration","interactions":[],"lastModifiedDate":"2024-01-12T13:35:58.612535","indexId":"70250923","displayToPublicDate":"2023-12-22T07:34:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Predation can play a significant role on survival during migration as birds find themselves competing for resources in unfamiliar habitats. Here we describe the first documented observation of a<span>&nbsp;</span><i>Buteo platypterus</i><span>&nbsp;</span>(Broad-winged Hawk) predating an<span>&nbsp;</span><i>Archilochus colubris</i><span>&nbsp;</span>(Ruby-throated Hummingbird) during autumn migration. To our knowledge, this is the first documented record of any<span>&nbsp;</span><i>Buteo</i><span>&nbsp;</span>sp. hawk predating any Trochilidae (hummingbird). While predation on hummingbirds likely represents a minor source of mortality, identifying sources of predation and mortality is important in understanding the risk of migration for any species.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1656/058.022.0409","usgsCitation":"Zenzal, T.J., and Lain, E.J., 2023, A Buteo sp. hawk predates a hummingbird (Trochilidae) during autumn migration: Southeastern Naturalist, v. 22, no. 4, p. N67-N71, https://doi.org/10.1656/058.022.0409.","productDescription":"5 p.","startPage":"N67","endPage":"N71","ipdsId":"IP-156753","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":424374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":892077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lain, Emily J.","contributorId":333137,"corporation":false,"usgs":false,"family":"Lain","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":892078,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254271,"text":"70254271 - 2023 - The importance of Sky Islands in the annual cycle of the Western (Cordilleran) Flycatcher Empidonax occidentalis","interactions":[],"lastModifiedDate":"2024-05-16T12:02:57.102492","indexId":"70254271","displayToPublicDate":"2023-12-22T07:00:45","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"The importance of Sky Islands in the annual cycle of the Western (Cordilleran) Flycatcher Empidonax occidentalis","docAbstract":"For more than a century and a half the Madrean sky islands, a group of 55 mountain ranges that occur from the middle of Arizona to the southern end of Sonora Mexico and rise from the desert floor to 3,000-10,000 feet elevation, have been a Mecca for ornithologists and natural historians. The ornithological literature of the late 19th early 20th centuries is filled with the wonderfully detailed and colorful accounts of expeditions and discoveries by Charles Bendire, Elliott Coues, William Brewster, William Earl Dodge Scott, Harry S. Swarth, and Herbert Brandt, to name but a few. The Huachuca, Santa Rita, and Chiricahua Sky Islands in particular, received a great deal of attention, being renowned for producing rare Mexican strays --- Recent sightings of The Red Warbler and Brown Flycatcher at Rose Canyon on Mt Lemmon attest to the continued northward movement of species that are usually only seen in Mexico. Throughout the 20th century, ornithologists such as Russell P. Balda, Steven M. Russell, James T. Marshall Jr., and J. David Ligon produced a wealth of natural history information, while long-term studies, such as that of Jerry and Esther Brown on Mexican Jays in the Chiricahuas, made substantial and lasting contributions to our knowledge and understanding of birds.","largerWorkType":{"id":25,"text":"Newsletter"},"largerWorkTitle":"Tucson Audubon Society Fall 2023 Newsletter","largerWorkSubtype":{"id":30,"text":"Newsletter"},"language":"English","publisher":"Newsletter","usgsCitation":"van Riper, C., and Greeney, H.F., 2023, The importance of Sky Islands in the annual cycle of the Western (Cordilleran) Flycatcher Empidonax occidentalis, p. 12-13.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-157218","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":428723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tucsonaudubon.org/publications/"},{"id":428760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.14001,25.87],[-97.52807,24.99214],[-97.70295,24.27234],[-97.77604,22.93258],[-97.87237,22.44421],[-97.69904,21.89869],[-97.38896,21.41102],[-97.18933,20.63543],[-96.52558,19.89093],[-96.29213,19.32037],[-95.90088,18.82802],[-94.83906,18.56272],[-94.42573,18.14437],[-93.54865,18.42384],[-92.78611,18.52484],[-92.03735,18.70457],[-91.4079,18.87608],[-90.77187,19.28412],[-90.53359,19.86742],[-90.45148,20.70752],[-90.27862,20.99986],[-89.60132,21.26173],[-88.54387,21.49368],[-87.65842,21.45885],[-87.05189,21.54354],[-86.81198,21.33151],[-86.84591,20.84986],[-87.38329,20.2554],[-87.62105,19.64655],[-87.43675,19.4724],[-87.58656,19.04013],[-87.83719,18.25982],[-88.09066,18.51665],[-88.30003,18.49998],[-88.49012,18.48683],[-88.84834,17.8832],[-89.02986,18.00151],[-89.15091,17.95547],[-89.14308,17.80832],[-90.06793,17.81933],[-91.00152,17.81759],[-91.00227,17.25466],[-91.45392,17.25218],[-91.08167,16.91848],[-90.71182,16.68748],[-90.60085,16.47078],[-90.43887,16.41011],[-90.46447,16.06956],[-91.74796,16.06656],[-92.22925,15.25145],[-92.08722,15.06458],[-92.20323,14.8301],[-92.22775,14.53883],[-93.35946,15.61543],[-93.87517,15.94016],[-94.69166,16.20098],[-95.25023,16.12832],[-96.05338,15.75209],[-96.55743,15.65352],[-97.26359,15.91706],[-98.01303,16.10731],[-98.94768,16.56604],[-99.6974,16.70616],[-100.8295,17.17107],[-101.66609,17.64903],[-101.91853,17.91609],[-102.47813,17.97575],[-103.50099,18.29229],[-103.91753,18.74857],[-104.99201,19.31613],[-105.49304,19.94677],[-105.7314,20.4341],[-105.39777,20.53172],[-105.50066,20.8169],[-105.27075,21.07628],[-105.26582,21.4221],[-105.60316,21.87115],[-105.69341,22.26908],[-106.02872,22.77375],[-106.90998,23.76777],[-107.91545,24.54892],[-108.4019,25.17231],[-109.2602,25.58061],[-109.44409,25.82488],[-109.29164,26.44293],[-109.80146,26.67618],[-110.39173,27.16211],[-110.64102,27.85988],[-111.17892,27.94124],[-111.75961,28.46795],[-112.22823,28.95441],[-112.27182,29.26684],[-112.80959,30.02111],[-113.16381,30.78688],[-113.14867,31.17097],[-113.87188,31.56761],[-114.20574,31.52405],[-114.77645,31.79953],[-114.9367,31.39348],[-114.77123,30.91362],[-114.6739,30.16268],[-114.33097,29.75043],[-113.58888,29.06161],[-113.42405,28.82617],[-113.27197,28.75478],[-113.14004,28.41129],[-112.9623,28.42519],[-112.76159,27.78022],[-112.45791,27.52581],[-112.24495,27.17173],[-111.61649,26.66282],[-111.28467,25.73259],[-110.98782,25.29461],[-110.71001,24.826],[-110.65505,24.29859],[-110.17286,24.26555],[-109.77185,23.81118],[-109.4091,23.36467],[-109.43339,23.18559],[-109.85422,22.81827],[-110.03139,22.82308],[-110.29507,23.43097],[-110.9495,24.00096],[-111.67057,24.48442],[-112.18204,24.73841],[-112.14899,25.47013],[-112.30071,26.012],[-112.7773,26.32196],[-113.46467,26.76819],[-113.59673,26.63946],[-113.84894,26.90006],[-114.46575,27.14209],[-115.05514,27.72273],[-114.98225,27.7982],[-114.57037,27.74149],[-114.19933,28.115],[-114.16202,28.56611],[-114.93184,29.27948],[-115.51865,29.55636],[-115.88737,30.18079],[-116.25835,30.83646],[-116.72153,31.63574],[-117.12776,32.53534],[-115.99135,32.61239],[-114.72139,32.72083],[-114.815,32.52528],[-113.30498,32.03914],[-111.02361,31.33472],[-109.035,31.34194],[-108.24194,31.34222],[-108.24,31.75485],[-106.50759,31.75452],[-106.1429,31.39995],[-105.63159,31.08383],[-105.03737,30.64402],[-104.70575,30.12173],[-104.45697,29.57196],[-103.94,29.27],[-103.11,28.97],[-102.48,29.76],[-101.6624,29.7793],[-100.9576,29.38071],[-100.45584,28.69612],[-100.11,28.11],[-99.52,27.54],[-99.3,26.84],[-99.02,26.37],[-98.24,26.06],[-97.53,25.84],[-97.14001,25.87]]]},\"properties\":{\"name\":\"Mexico\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":900829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greeney, Harold F.","contributorId":336704,"corporation":false,"usgs":false,"family":"Greeney","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":80837,"text":"Yanayacu Biological Station and Center for Creative Studies, Cosanga, Napo, Ecuador","active":true,"usgs":false}],"preferred":false,"id":900830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250566,"text":"cir1516 - 2023 - Integrated science strategy for assessing and monitoring water availability and migratory birds for terminal lakes across the Great Basin, United States","interactions":[],"lastModifiedDate":"2025-08-07T21:10:28.947951","indexId":"cir1516","displayToPublicDate":"2023-12-22T07:00:34","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1516","displayTitle":"Integrated Science Strategy for Assessing and Monitoring Water Availability and Migratory Birds for Terminal Lakes Across the Great Basin, United States","title":"Integrated science strategy for assessing and monitoring water availability and migratory birds for terminal lakes across the Great Basin, United States","docAbstract":"<h1>Executive Summary</h1><p>In 2022, the U.S. Geological Survey (USGS) established the Saline Lake Ecosystems Integrated Water Availability Assessment (IWAAs) to monitor and assess the hydrology of terminal lakes in the Great Basin and the migratory birds and other wildlife dependent on those habitats. Scientists from across the USGS (with specialties in water quantity, water quality, limnology, avian biology, data science, landscape ecology, and science communication) formed the Saline Lake Ecosystems IWAAs Team. The team has developed this regional strategic science plan to guide data collection and assessment activities at terminal lakes in the Great Basin.</p><p>The U.S. Congress requested the USGS to establish the Saline Lake Ecosystems IWAAs in response to historically low water levels at terminal lakes and associated wetlands across the Great Basin. Not all Great Basin terminal lakes have high salinity; however, all terminal lakes occur in endorheic, closed, basins with no surface-water outflow. Low lake levels across the Great Basin are the result of increased water use for agriculture and municipalities, drought conditions, and a warming climate. Great Basin terminal lake water extents have decreased by as much as 90 percent over the last 150 years, and terminal lake wetlands have decreased in area by as much as 47 percent since 1984. Lake elevations and wetland areas are primarily supported by freshwater inputs from snowmelt feeding upgradient rivers, streams, and springs. These freshwater inputs have been severely reduced because of continued and increased surface-water diversions and surface-water capture through groundwater pumping for agriculture, mining, and public supply as well as unprecedented drought conditions and warming temperatures related to climate change.</p><p>Water quality, specifically salinity, is highly variable for terminal lakes of the Great Basin, and this variability is a result of the balance between freshwater inflow and evaporation. Variability of salinity at each of the terminal lakes can be affected by lake morphology, hydrogeologic features of the basin, annual variability in weather patterns, and changes in upgradient water use. Hypersaline terminal lakes provide abundant food resources such as brine shrimp and brine flies that support nesting and migrating birds. The density and composition of invertebrates are closely tied to lake salinity. Increased salinity can exceed the tolerance of invertebrates, severely limiting their biomass. In contrast, decreased salinity can lead to altered invertebrate community composition, reducing the abundance of optimal avian prey resources.</p><p>Great Basin terminal lake ecosystems, including open-water and adjacent aquatic and terrestrial environments, provide resources necessary to sustain many animal populations throughout the year. Although a variety of taxa use terminal lakes, these ecosystems are of acute importance for the millions of migratory waterbirds (for example, shorebirds, wading birds, and waterfowl) dependent on the network of terminal lakes and their associated wetlands. Migratory birds transiting the Pacific and Central Flyways use Great Basin terminal lake ecosystems throughout the year to feed, nest, and transit between wintering and breeding ranges. As such, successful conservation of birds and their habitats requires coordinated management of water and habitats across the Great Basin network of terminal lakes and wetlands.</p><p>The linkages between water availability and ecosystem vulnerability of terminal lakes in the Great Basin are not well understood. The vulnerability of terminal lakes is related to the factors driving change and adaptive capacity of the lake ecosystem. Saline lake ecosystems are vulnerable when changes in water quantity affect ecosystem function. Water quantity affects salinity, which affects food webs and habitat; these linkages can be investigated with water-quality and food web monitoring. Water quantity also affects inundated habitat, which can be quantified through remote sensing. It is necessary to quantify hydroclimatic and water use controls on water availability to terminal lakes to assess the response of the ecosystems. Remotely sensed data can provide a broad-scale and long-term synoptic view of terminal lake hydrologic characteristics, but ground observations are required to interpret changes in water quality and ecological functions. Some terminal lake basins have ongoing monitoring and modeling efforts within the Great Basin (for example, Great Salt Lake, Carson River Basin), yet most monitoring locations are hydrologically upgradient and too far away from lake inflows to provide an accurate assessment of hydrological trends for the lake ecosystems. Other terminal lakes have no long-term hydrological monitoring in their respective watersheds (for example, Lake Abert).</p><p>Ecological data collection in the Great Basin is also insufficient to understand how many birds exist on the landscape, how birds use the mosaic of terminal-lake habitats as an interconnected system, and how Great Basin terminal lakes are linked to the larger continental system of the Pacific and Central Flyways. Across agencies and organizations, tracking bird movement, abundance, and diversity is inconsistent, with some lakes having once- or twice-a-year bird survey efforts and a few locations having more intensive ecological data-gathering efforts (for example, Great Salt Lake, Lake Abert). Bridging hydrological and ecological information gaps will improve understanding of the trends in water supply and water quality, habitat availability and usage, and impacts on vulnerable waterbird species, all of which would be used by managers in coordinated conservation of this unique network of terminal-lake habitats.</p><p>The terminal lakes of the Great Basin are part of the Basin and Range physiographic province that extends from the Colorado Plateau on the east to the Sierra Nevada on the west, and from the Snake River Plain on the north to the Garlock fault and the Mojave block on the south. The Great Basin is larger than 650,000 square kilometers and encompasses most of the State of Nevada but also extends to western Utah, eastern California, southeastern Idaho, southwestern Wyoming, and southeastern Oregon. The climate is arid to semiarid with a hydrologic regime that is snowmelt dominated, providing as much as 75 percent of total annual runoff for the region. Terminal lakes of the Great Basin occupy the lowest areas of closed (endorheic) drainage basins, such that lake levels and water quality respond rapidly to surface-water inflow. Terminal lakes provide local and regional economic value to the States in the Great Basin, including mineral extraction, aquaculture, public works, and recreational uses. As an example, assessments of Great Salt Lake’s ecological health and economic impact find hemispheric importance for the former and regional importance for the latter. Great Salt Lake creates about 7,000 jobs and $2 billion of economic output per year, most of which would be lost with further declines in lake level.</p><p>The objectives of this Science Strategy are threefold: (1) to identify how changing water availability affects the quality, diversity, and abundance of habitats supporting continental waterbird populations; (2) to highlight the scientific monitoring and assessment needs of Great Basin terminal lakes; and (3) to support coordinated management and conservation actions to benefit those ecosystems, migratory birds, and other wildlife. There are long-term hydrological, ecological, and societal challenges associated with terminal lakes ecosystems in the Great Basin. This Science Strategy benefits partners by providing a conceptual model, nested at different spatial extents, that identifies key scientific information needs to inform coordinated implementation of management and conservation plans within and among hydrologic basins to address these complex challenges.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1516","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Frus, R.J., Aldridge, C.L., Casazza, M.L., Eagles-Smith, C.A., Herring, G., Hynek, S.A., Jones, D.K., Kemp, S.K., Marston, T.M., Morris, C.M., Naranjo, R.C., Nell, C.S., O’Leary, D.R., Overton, C.T., Pulver, B.A., Reichert, B.E., Rumsey, C.A., Schuster, R., and Smith, C.D., 2023, Integrated science strategy for assessing and monitoring water availability and migratory birds for terminal lakes across the Great Basin, United States (ver. 1.1, May 2025): U.S. Geological 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Geological Survey<br>2329 West Orton Circle<br>Salt Lake City, Utah 84119-2047</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Science Strategy for Terminal Lakes of the Great Basin</li><li>Adaptive Implementation Framework</li><li>Summary</li><li>References Cited</li><li>Appendixes 1– 3</li></ul>","publishedDate":"2023-12-22","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":206261,"corporation":false,"usgs":true,"family":"Frus","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 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ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":215925,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":890391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":890392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hynek, Scott A. 0000-0002-6885-0445","orcid":"https://orcid.org/0000-0002-6885-0445","contributorId":52091,"corporation":false,"usgs":true,"family":"Hynek","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":332532,"corporation":false,"usgs":false,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kemp, Susan K 0000-0002-8183-5741 skemp@usgs.gov","orcid":"https://orcid.org/0000-0002-8183-5741","contributorId":5889,"corporation":false,"usgs":true,"family":"Kemp","given":"Susan","email":"skemp@usgs.gov","middleInitial":"K","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":890395,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890396,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morris, Christopher M. 0000-0002-0477-7605 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0000-0003-2218-3971","orcid":"https://orcid.org/0000-0003-2218-3971","contributorId":244705,"corporation":false,"usgs":true,"family":"Nell","given":"Cee","middleInitial":"S.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":890399,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"O'Leary, David R. 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":175504,"corporation":false,"usgs":true,"family":"O'Leary","given":"David R.","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890400,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":890401,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pulver, Bryce A. 0009-0004-5847-2104","orcid":"https://orcid.org/0009-0004-5847-2104","contributorId":332534,"corporation":false,"usgs":false,"family":"Pulver","given":"Bryce A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890402,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":890403,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rumsey, Christine A. 0000-0001-7536-750X","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":187588,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":false,"id":890404,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schuster, Rudy 0000-0003-2353-8500 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,{"id":70250754,"text":"70250754 - 2023 - Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA","interactions":[],"lastModifiedDate":"2024-01-03T12:53:39.320366","indexId":"70250754","displayToPublicDate":"2023-12-22T06:49:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The Upper Cretaceous Coon Creek Formation type-locality in McNairy County, Tennessee, is an exceptional marine invertebrate Lagerstätte that was deposited in a nearshore reentrant into the ancestral continent of Appalachia. Extensive taxonomic analysis of the macrofauna has been done for over 100 years. However, documentation of the microfossil component at the type-locality has largely been ignored. This paper provides analysis of calcareous microfossils (benthic and planktonic foraminifera, calcareous nannofossils and ostracods) and palynomorphs (pollen, spores, algal remains and dinoflagellates) for detailed age control and information regarding environment of deposition. The Coon Creek type-locality is late Campanian (76.8–76.0 Ma) in age and was deposited in 35–60 m water depths. Calcareous nannofossil assemblages suggest that there was an influence of colder water through time, possibly by a connection to the northern Western Interior Seaway. The complex interplay between currents of the Gulf of Mexico and the Western Interior Seaway, upwelling and runoff influenced the palaeoenvironment. Increased influx of freshwater palynomorphs near the top of the section suggests placement proximal to the palaeoshoreline and that weathering increased through time. Changes in the dinoflagellate assemblage may be linked to a mosasaur mass mortality event and the presence of a harmful algal bloom.</div></div></div>","language":"English","publisher":"Geological Society, London","doi":"10.1144/SP545-2023-137","usgsCitation":"Self-Trail, J., Gardner, K.F., O’Keefe, J.M., Mason, P.H., Puckett, M., Gibson, M.A., and McCarty, M., 2023, Microfossils and biostratigraphy of the Upper Cretaceous Coon Creek Formation Lagerstätte, Mississippi Embayment, USA: Geological Society, London, Special Publications, v. 545, 22 p., https://doi.org/10.1144/SP545-2023-137.","productDescription":"22 p.","ipdsId":"IP-155094","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":424063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","county":"McNairy County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.3641,35.3852],[-88.3638,35.3738],[-88.3642,35.3675],[-88.3653,35.3148],[-88.3755,35.3141],[-88.3763,35.3041],[-88.3776,35.2909],[-88.3686,35.2906],[-88.3722,35.1734],[-88.3798,34.9982],[-88.4123,34.9983],[-88.5458,34.9979],[-88.6689,34.9975],[-88.7867,34.9972],[-88.7849,35.133],[-88.7846,35.2475],[-88.7192,35.2477],[-88.7162,35.2582],[-88.7072,35.2579],[-88.7081,35.2637],[-88.6908,35.3056],[-88.6393,35.3038],[-88.6396,35.3138],[-88.6399,35.3184],[-88.6608,35.3204],[-88.6674,35.3405],[-88.6197,35.3675],[-88.5773,35.3812],[-88.5267,35.3863],[-88.3724,35.38],[-88.3726,35.385],[-88.3641,35.3852]]]},\"properties\":{\"name\":\"McNairy\",\"state\":\"TN\"}}]}","volume":"545","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":891272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":891273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Keefe, Jennifer M K","contributorId":200148,"corporation":false,"usgs":false,"family":"O’Keefe","given":"Jennifer","email":"","middleInitial":"M K","affiliations":[],"preferred":false,"id":891274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Patricia H.","contributorId":332897,"corporation":false,"usgs":false,"family":"Mason","given":"Patricia","email":"","middleInitial":"H.","affiliations":[{"id":24668,"text":"University of North Carolina, Wilmington","active":true,"usgs":false}],"preferred":false,"id":891275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puckett, Mark","contributorId":317218,"corporation":false,"usgs":false,"family":"Puckett","given":"Mark","email":"","affiliations":[],"preferred":false,"id":891276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibson, Michael A.","contributorId":332898,"corporation":false,"usgs":false,"family":"Gibson","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":891277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCarty, Maeve","contributorId":317219,"corporation":false,"usgs":false,"family":"McCarty","given":"Maeve","email":"","affiliations":[],"preferred":false,"id":891278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250772,"text":"70250772 - 2023 - Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction","interactions":[],"lastModifiedDate":"2024-01-04T12:51:48.498521","indexId":"70250772","displayToPublicDate":"2023-12-22T06:44:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction","docAbstract":"<div class=\"article-section__content en main\"><p>Although groundwater discharge is a critical stream temperature control process, it is not explicitly represented in many stream temperature models, an omission that may reduce predictive accuracy, hinder management of aquatic habitat, and decrease user confidence. We assessed the performance of a previously-described process-guided deep learning model of stream temperature in the Delaware River Basin (USA). We found lower accuracy (root mean square error [RMSE] of 1.71 versus 1.35°C) and stronger seasonal bias (absolute mean monthly bias of 1.06 vs. 0.68°C) for reaches primarily influenced by deep groundwater as compared to atmospheric conditions. We then tested four approaches for improving groundwater process representation: (a) a custom loss function leveraging the unique patterns of air and water temperature coupling characteristic of different temperature drivers, (b) inclusion of additional groundwater-relevant catchment attributes, (c) incorporation of additional process model outputs, and (d) a composite model. The custom loss function and the additional attributes significantly improved the predictive accuracy in groundwater-dominated reaches (RMSE of 1.37 and 1.26°C) and reduced the seasonal bias (absolute mean monthly bias of 0.44 and 0.48°C), but neither approach could identify holdout groundwater reaches. Variable importance analysis indicates the custom loss function nudges the model to use the existing inputs more efficiently, whereas with the added features the model relies on a broader suite of inputs. This analysis is a substantial step toward more accurately representing groundwater discharge processes in stream temperature models and will improve predictive accuracy and inform habitat management.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035327","usgsCitation":"Barclay, J.R., Topp, S.N., Koenig, L.E., Sleckman, M.J., and Appling, A.P., 2023, Train, inform, borrow, or combine? Approaches to process-guided deep learning for groundwater-influenced stream temperature prediction: Water Resources Research, v. 59, no. 12, e2023WR035327, 19 p., https://doi.org/10.1029/2023WR035327.","productDescription":"e2023WR035327, 19 p.","ipdsId":"IP-150248","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441375,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035327","text":"Publisher Index Page"},{"id":435108,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KO49OT","text":"USGS data release","linkHelpText":"Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions"},{"id":424108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.0,\n              38.46095870619746\n            ],\n            [\n              -74.27398526052804,\n              38.46095870619746\n            ],\n            [\n              -74.27398526052804,\n              42.406071951802744\n            ],\n            [\n              -76,\n              42.406071951802744\n            ],\n            [\n              -76,\n              38.46095870619746\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topp, Simon Nemer 0000-0001-7741-5982","orcid":"https://orcid.org/0000-0001-7741-5982","contributorId":268229,"corporation":false,"usgs":true,"family":"Topp","given":"Simon","email":"","middleInitial":"Nemer","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Lauren Elizabeth 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":295259,"corporation":false,"usgs":true,"family":"Koenig","given":"Lauren","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":891362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":891364,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252083,"text":"70252083 - 2023 - A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","interactions":[],"lastModifiedDate":"2024-03-13T11:42:12.578809","indexId":"70252083","displayToPublicDate":"2023-12-22T06:41:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1014,"text":"Biological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting","docAbstract":"<div class=\"col-lg-9 article__content\"><div class=\"article__body show-references \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Mass mortality events provide valuable insight into biological extremes and also ecological interactions more generally. The sea star wasting epidemic that began in 2013 catalyzed study of the microbiome, genetics, population dynamics, and community ecology of several high-profile species inhabiting the northeastern Pacific but exposed a dearth of information on the diversity, distributions, and impacts of sea star wasting for many lesser-known sea stars and a need for integration across scales. Here, we combine datasets from single-site to coast-wide studies, across time lines from weeks to decades, for 65 species. We evaluated the impacts of abiotic characteristics hypothetically associated with sea star wasting (sea surface temperature, pelagic primary productivity, upwelling wind forcing, wave exposure, freshwater runoff) and species characteristics (depth distribution, developmental mode, diet, habitat, reproductive period). We find that the 2010s sea star wasting outbreak clearly affected a little over a dozen species, primarily intertidal and shallow subtidal taxa, causing instantaneous wasting prevalence rates of 5%–80%. Despite the collapse of some populations within weeks, environmental and species variation protracted the outbreak, which lasted 2–3 years from onset until declining to chronic background rates of ∼2% sea star wasting prevalence. Recruitment began immediately in many species, and in general, sea star assemblages trended toward recovery; however, recovery was heterogeneous, and a marine heatwave in 2019 raised concerns of a second decline. The abiotic stressors most associated with the 2010s sea star wasting outbreak were elevated sea surface temperature and low wave exposure, as well as freshwater discharge in the north. However, detailed data speaking directly to the biological, ecological, and environmental cause(s) and consequences of the sea star wasting outbreak remain limited in scope, unavoidably retrospective, and perhaps always indeterminate. Redressing this shortfall for the future will require a broad spectrum of monitoring studies not less than the taxonomically broad cross-scale framework we have modeled in this synthesis.</p></div></div></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/727969","usgsCitation":"Dawson, M., Duffin, P., Giakoumis, M., Schiebelhut, L.M., Beas-Luna, R., Bosley, K., Castilho, R., Ewers-Saucedo, C., Gavenus, K., Keller, A., Konar, B., Largier, J.L., Lorda, J., Miner, M., Moritsch, M., Navarette, S., Raimondi, P.T., Traiger, S.B., Turner, M., and Wares, J., 2023, A decade of death and other dynamics: Deepening perspectives on the diversity and distribution of sea stars and wasting: Biological Bulletin, v. 244, no. 3, https://doi.org/10.1086/727969.","ipdsId":"IP-131426","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441377,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/56754","text":"External Repository"},{"id":426574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"244","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dawson, Michael","contributorId":334800,"corporation":false,"usgs":false,"family":"Dawson","given":"Michael","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":896550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffin, Paige","contributorId":295356,"corporation":false,"usgs":false,"family":"Duffin","given":"Paige","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":896551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giakoumis, Melina","contributorId":334801,"corporation":false,"usgs":false,"family":"Giakoumis","given":"Melina","email":"","affiliations":[{"id":39562,"text":"City University of New York","active":true,"usgs":false}],"preferred":false,"id":896552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schiebelhut, Lauren M","contributorId":295369,"corporation":false,"usgs":false,"family":"Schiebelhut","given":"Lauren","email":"","middleInitial":"M","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":896553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beas-Luna, Rodrigo","contributorId":127447,"corporation":false,"usgs":false,"family":"Beas-Luna","given":"Rodrigo","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bosley, Keith","contributorId":334802,"corporation":false,"usgs":false,"family":"Bosley","given":"Keith","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castilho, Rita","contributorId":334803,"corporation":false,"usgs":false,"family":"Castilho","given":"Rita","email":"","affiliations":[{"id":80253,"text":"University of Algarve","active":true,"usgs":false}],"preferred":false,"id":896556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ewers-Saucedo, Christine","contributorId":334804,"corporation":false,"usgs":false,"family":"Ewers-Saucedo","given":"Christine","email":"","affiliations":[{"id":80254,"text":"Zoological Museum Christian-Albrechts University","active":true,"usgs":false}],"preferred":false,"id":896557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gavenus, Katie","contributorId":334805,"corporation":false,"usgs":false,"family":"Gavenus","given":"Katie","email":"","affiliations":[{"id":80255,"text":"Center for Alaskan Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":896558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keller, Aimee","contributorId":334806,"corporation":false,"usgs":false,"family":"Keller","given":"Aimee","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896559,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Konar, Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":896560,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":896561,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lorda, Julio","contributorId":334807,"corporation":false,"usgs":false,"family":"Lorda","given":"Julio","affiliations":[{"id":34468,"text":"Universidad Autonoma de Baja California","active":true,"usgs":false}],"preferred":false,"id":896562,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Miner, Melissa","contributorId":334808,"corporation":false,"usgs":false,"family":"Miner","given":"Melissa","email":"","affiliations":[{"id":80256,"text":"University of Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896563,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Moritsch, Monica","contributorId":304091,"corporation":false,"usgs":false,"family":"Moritsch","given":"Monica","affiliations":[{"id":65966,"text":"EDF","active":true,"usgs":false}],"preferred":false,"id":896564,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Navarette, Sergio","contributorId":334809,"corporation":false,"usgs":false,"family":"Navarette","given":"Sergio","email":"","affiliations":[{"id":66274,"text":"Pontifica Universidad Catolica de Chile","active":true,"usgs":false}],"preferred":false,"id":896565,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Raimondi, Peter T.","contributorId":139302,"corporation":false,"usgs":false,"family":"Raimondi","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":896566,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Traiger, Sarah Beth 0000-0002-6222-1445","orcid":"https://orcid.org/0000-0002-6222-1445","contributorId":293218,"corporation":false,"usgs":true,"family":"Traiger","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":896567,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Turner, Monica","contributorId":193037,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","affiliations":[],"preferred":false,"id":896568,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wares, John","contributorId":177199,"corporation":false,"usgs":false,"family":"Wares","given":"John","affiliations":[],"preferred":false,"id":896569,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70250608,"text":"sir20235127 - 2023 - Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21","interactions":[],"lastModifiedDate":"2026-03-13T15:44:14.425291","indexId":"sir20235127","displayToPublicDate":"2023-12-21T14:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5127","displayTitle":"Highway-Runoff Quality From Segments of Open-Graded Friction Course and Dense-Graded Hot-Mix Asphalt Pavement on Interstate 95, Massachusetts, 2018–21","title":"Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21","docAbstract":"<p>Highway runoff is a source of sediment and associated constituents to downstream waterbodies that can be managed with the use of stormwater-control measures that reduce sediment loads. The use of open-graded friction course (OGFC) pavement has been identified as a method to reduce loads from highway runoff because it retains sediment in pavement voids; however, few datasets are available in New England to characterize runoff quality from OGFC pavement. To meet this data need, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Transportation, conducted a field study from October 2018 through September 2021 to monitor runoff from a section of traditional dense-graded hot-mix asphalt (HMA) and from a section of OGFC pavement on Interstate 95 near Needham, Massachusetts. A robust dataset that includes suspended sediment concentrations for nearly every runoff event during the study period was generated to compare runoff from the two 4,180-square-foot sections of highway pavement under identical traffic volume and maintenance characteristics.</p><p>Automatic-monitoring techniques were used to collect over 6,500 samples at each station to characterize all runoff-generating events during the study period (226 events for the HMA site and 168 events for the OGFC site). Suspended sediment concentrations were consistently lower in runoff from the OGFC pavement throughout the study period, with median event-mean concentrations for all runoff events of 29 and 15 milligrams per liter for the HMA and OGFC sites, respectively. The total load of sediment less than 6.0 millimeters in diameter from the HMA section (202 kilograms [kg]) was 41 percent greater than the load measured from the OGFC pavement (120 kg), and the total load of sediment less than 2.0 mm in diameter was 49 percent greater (168 kg and 85 kg from the HMA and OGFC sites, respectively). The greatest differences in loads between the two pavement segments were in the particle-size ranges less than 2.0 millimeters in diameter, indicating that these particles are retained by the voids in the OGFC pavement. The relative difference between annual sediment-load estimates at each site over the study period indicates that OGFC pavement became clogged, a condition that permeameter test results also reflected. Specifically, the average total load of sediment for the first 2 years of the study was 68 percent lower at the OGFC site than the HMA site, but the difference between the respective loads decreased to 19 percent in the third year of the study.</p><p>Study-period loads for most total-recoverable metals in runoff from each pavement type were between 7 and 64 percent higher from the HMA site, except for loads of arsenic, cadmium, and zinc, which were higher from the OGFC pavement. Study-period loads for total phosphorus were similar from each pavement type. Despite the same application rate of deicing chemicals, sodium and chloride loads in runoff were about two times greater from the OGFC section than from the HMA pavement during years with average snowfall amounts but were approximately equal at both sites during the mild winter in 2020.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235127","collaboration":"Prepared in cooperation with the Massachusetts Department of Transportation","usgsCitation":"Smith, K.P., Spaetzel, A.B., and Woodford, P.A., 2023, Highway-runoff quality from segments of open-graded friction course and dense-graded hot-mix asphalt pavement on Interstate 95, Massachusetts, 2018–21: U.S. Geological Survey Scientific Investigations Report 2023–5127, 59 p., https://doi.org/10.3133/sir20235127","productDescription":"Report: xi, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151162","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":423760,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FASAUV","text":"USGS data release","linkHelpText":"Highway-monitoring data from segments of open-graded friction course and dense-graded hot-mix asphalt pavement in eastern Massachusetts, 2018–2021"},{"id":423755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5127/coverthb.jpg"},{"id":423756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5127/sir20235127.pdf","text":"Report","size":"4.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5127"},{"id":424094,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235127/full","text":"Report"},{"id":423758,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5127/sir20235127.XML"},{"id":423759,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5127/images/"},{"id":501162,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115712.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.24249515694652,\n              42.31584615373151\n            ],\n            [\n              -71.24249515694652,\n              42.25488827654789\n            ],\n            [\n              -71.18207035225896,\n              42.25488827654789\n            ],\n            [\n              -71.18207035225896,\n              42.31584615373151\n            ],\n            [\n              -71.24249515694652,\n              42.31584615373151\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Previous Investigations</li><li>Study Area and Site Characteristics</li><li>Data Collection Methods</li><li>Data Quality</li><li>Analysis Methods</li><li>Pavement Conditions</li><li>Event-Mean Concentrations and Loads</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-21","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kirk 0000-0003-0269-474X","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":204404,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodford, Phillip A. 0009-0003-9449-9323","orcid":"https://orcid.org/0009-0003-9449-9323","contributorId":332021,"corporation":false,"usgs":true,"family":"Woodford","given":"Phillip","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890550,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250625,"text":"pp1842T - 2023 - The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","interactions":[{"subject":{"id":70250625,"text":"pp1842T - 2023 - The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","indexId":"pp1842T","publicationYear":"2023","noYear":false,"chapter":"T","displayTitle":"The Effects of Management Practices on Grassland Birds—Loggerhead Shrike (<em>Lanius ludovicianus</em>)","title":"The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-21T17:22:25.798008","indexId":"pp1842T","displayToPublicDate":"2023-12-21T09:42:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"T","displayTitle":"The Effects of Management Practices on Grassland Birds—Loggerhead Shrike (<em>Lanius ludovicianus</em>)","title":"The effects of management practices on grassland birds—Loggerhead Shrike (Lanius ludovicianus)","docAbstract":"<p>The key to Loggerhead Shrike (<i>Lanius ludovicianus</i>) management is providing open grasslands with scattered trees and shrubs for foraging, nesting, and perching. Loggerhead Shrikes have been reported to use habitats with 20–266 centimeters (cm) vegetation height, greater than or equal to (≥) 10 percent grass cover, 3–48 percent forb cover, 2–25 percent shrub cover, 3–40 percent bare ground, and 11–67 percent litter cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842T","usgsCitation":"Igl, L.D., Shaffer, J.A., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Nenneman, M.P., Zimmerman, A.L., Thiele, J.P., and Euliss, B.R., 2023, The effects of management practices on grassland birds—Loggerhead Shrike (<em>Lanius ludovicianus</em>), chap. T <em>of</em> Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 24 p., https://doi.org/10.3133/pp1842T.","productDescription":"v, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-095160","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":423799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/t/coverthb.jpg"},{"id":423817,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/t/pp1842t.pdf","text":"Report","size":"2.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–T"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/npwrc\" href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, North Dakota 58401</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Capsule Statement</li><li>Breeding Range</li><li>Suitable Habitat</li><li>Prey Habitat</li><li>Area Requirements and Landscape Associations</li><li>Brood Parasitism by Cowbirds and Other Species</li><li>Breeding-Season Phenology and Site Fidelity</li><li>Species’ Response to Management</li><li>Management Recommendations from the Literature</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-21","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":223125,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":221769,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":219230,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nenneman, Melvin P.","contributorId":190777,"corporation":false,"usgs":false,"family":"Nenneman","given":"Melvin","email":"","middleInitial":"P.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":890614,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890615,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thiele, Jason P.","contributorId":217214,"corporation":false,"usgs":false,"family":"Thiele","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":890616,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":890617,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251923,"text":"70251923 - 2023 - Identifying structural priors in a hybrid differentiable model for stream water temperature modeling","interactions":[],"lastModifiedDate":"2024-03-07T13:01:44.619138","indexId":"70251923","displayToPublicDate":"2023-12-21T06:59:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Identifying structural priors in a hybrid differentiable model for stream water temperature modeling","docAbstract":"<div class=\"article-section__content en main\"><div class=\"article-section__content en main\"><p>Although deep learning models for stream temperature (<i>T</i><sub>s</sub>) have recently shown exceptional accuracy, they have limited interpretability and cannot output untrained variables. With hybrid differentiable models, neural networks (NNs) can be connected to physically based equations (called structural priors) to output intermediate variables such as water source fractions (specifying what portion of water is groundwater, subsurface, and surface flow). However, it is unclear if such outputs are physically meaningful when only limited physics is imposed, and if structural priors have enough impacts to be identifiable from data. Here, we tested four alternative structural priors describing basin-scale water temperature memory and instream heat processes in a differentiable stream temperature model where NNs freely estimate the water source fractions. We evaluated models’ abilities to predict<span>&nbsp;</span><i>T</i><sub>s</sub><span>&nbsp;</span>and baseflow ratio. The four priors exhibited noticeably different behaviors in these two metrics and their tradeoffs, with some dominating others. Therefore, the better structural priors can be identified. Moreover, testing different priors yielded valuable insights: having a separate shallow subsurface flow component better matches observations, and a recency-weighted averaging of past air temperature for calculating source water temperature resulted in better<span>&nbsp;</span><i>T</i><sub>s</sub><span>&nbsp;</span>and baseflow prediction than traditionally employed simple averaging. However, we also highlight the limitations when insufficient physical constraints are implemented: the internal variables (water source fractions) may not be adequately constrained by a single target variable (stream temperature) alone. To ensure the physical significance of the internal fluxes, one can either employ multivariate data for model selection, or include more physical processes in the priors.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR034420","usgsCitation":"Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C., 2023, Identifying structural priors in a hybrid differentiable model for stream water temperature modeling: Water Resources Research, v. 59, no. 12, e2023WR034420, 21 p., https://doi.org/10.1029/2023WR034420.","productDescription":"e2023WR034420, 21 p.","ipdsId":"IP-148327","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr034420","text":"Publisher Index Page"},{"id":426426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rahmani, Farshid","contributorId":265775,"corporation":false,"usgs":false,"family":"Rahmani","given":"Farshid","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":896104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Dapeng 0000-0002-5653-6504","orcid":"https://orcid.org/0000-0002-5653-6504","contributorId":317078,"corporation":false,"usgs":false,"family":"Feng","given":"Dapeng","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":896105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawson, Kathryn","contributorId":265776,"corporation":false,"usgs":false,"family":"Lawson","given":"Kathryn","affiliations":[{"id":54792,"text":"Civil and Environmental Engineering, Pennsylvania State University, University Park, PA","active":true,"usgs":false}],"preferred":false,"id":896106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Chaopeng","contributorId":152465,"corporation":false,"usgs":false,"family":"Shen","given":"Chaopeng","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251274,"text":"70251274 - 2023 - How to handle glacier area change in geodetic mass balance","interactions":[],"lastModifiedDate":"2024-12-26T16:30:44.095182","indexId":"70251274","displayToPublicDate":"2023-12-21T06:52:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"How to handle glacier area change in geodetic mass balance","docAbstract":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Innovations in geodesy enable widespread analysis of glacier surface elevation change and geodetic mass balance. However, coincident glacier area data are less widely available, causing inconsistent handling of glacier area change. Here we quantify the bias introduced into meters water equivalent (m w.e.) specific geodetic mass balance results when using a fixed, maximum glacier area, and illustrate the bias for five North American glaciers. Sites span latitudes from the northern U.S. Rocky Mountains (48°N) to the Central Alaska Range (63°N) between 1948 and 2021. Results show that fixed (maximum) area treatment subdues the m w.e. mass change signal, underestimating mass balance by up to 19% in our test cases. This bias scales with relative glacier area change and the mass balance magnitude. Thus, the bias for specific geodetic mass balances will be most pronounced across rapidly deglaciating regions. Our analysis underscores the need for temporally resolved glacier area in geodetic mass balance studies.</p></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2023.86","usgsCitation":"Florentine, C., Sass, L., McNeil, C., Baker, E., and O'Neel, S., 2023, How to handle glacier area change in geodetic mass balance: Journal of Glaciology, v. 69, no. 278, p. 2169-2175, https://doi.org/10.1017/jog.2023.86.","productDescription":"7 p.","startPage":"2169","endPage":"2175","ipdsId":"IP-152176","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2023.86","text":"Publisher Index Page"},{"id":425280,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"278","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":893802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neel, Shad 0000-0002-9185-0144","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":289666,"corporation":false,"usgs":false,"family":"O'Neel","given":"Shad","affiliations":[{"id":62222,"text":"Cold Regions Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":893805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251950,"text":"70251950 - 2023 - Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire","interactions":[],"lastModifiedDate":"2024-03-07T12:47:38.158193","indexId":"70251950","displayToPublicDate":"2023-12-21T06:44:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire","docAbstract":"<h3 id=\"avsc12759-sec-0001-title\" class=\"article-section__sub-title section1\">Aims</h3><p>Invasion by annual grasses (IAGs) and concomitant increases in wildfire are impacting many drylands globally, and an understanding of factors that contribute to or detract from community resistance to IAGs is needed to inform postfire restoration interventions. Prefire vegetation condition is often unknown in rangelands but it likely affects variation in postfire invasion resistance across large burned scars. Whether satellite-derived products like the Rangeland Analysis Platform (RAP) can fulfill prefire information needs and be used to parametrize models of fire recovery to inform postfire management of IAGs is a key question.</p><h3 id=\"avsc12759-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used random forests to ask how IAG abundances in 669 field plots measured in the 2-3 years following megafires in sagebrush steppe rangelands of western USA responded to RAP estimates of annual:perennial prefire vegetation cover, the effects of elevation, heat load, postfire treatments, soil moisture–temperature regimes, and land-agency ratings of ecosystem resistance to invasion and resilience to disturbance.</p><h3 id=\"avsc12759-sec-0003-title\" class=\"article-section__sub-title section1\">Results</h3><p>Postfire IAG cover measured in the field was<span>&nbsp;</span>22¯% and RAP-estimated prefire annual herbaceous cover was<span>&nbsp;</span>15.7¯%. The random forest model had an<span>&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;</span>of 0.36 and a root-mean-squared error (RMSE) of 4.41. Elevation, postfire herbicide treatment, and prefire estimates from RAP for the ratio of annual:perennial and shrub cover were the most important predictors of postfire IAG cover. Threshold-like relationships between postfire IAG cover and the predictors indicate that maintaining annual:perennial cover below 0.4 and shrub cover below &lt;10% prior to wildfire would decrease invasion, at low elevations below 1400 m above sea level.</p><h3 id=\"avsc12759-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Despite known differences between RAP and field-based estimates of vegetation cover, RAP was still a useful predictor of variation in IAG abundances after fire. IAG management is oftentimes reactive, but our findings indicate impactful roles for more inclusively addressing the exotic annual community, and focusing on prefire maintenance of annual:perennial herbaceous and shrub cover at low elevations.</p>","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12759","usgsCitation":"Anthony, C.A., Applestein, C., and Germino, M., 2023, Satellite-derived prefire vegetation predicts variation in field-based invasive annual grass cover after fire: Applied Vegetation Science, v. 26, no. 4, e12759, 11 p., https://doi.org/10.1111/avsc.12759.","productDescription":"e12759, 11 p.","ipdsId":"IP-153942","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":426424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Christopher A 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":334644,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher","email":"","middleInitial":"A","affiliations":[{"id":80198,"text":"USFWS (current)","active":true,"usgs":false}],"preferred":false,"id":896157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":896158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":896159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252460,"text":"70252460 - 2023 - Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","interactions":[],"lastModifiedDate":"2024-03-25T11:45:42.749366","indexId":"70252460","displayToPublicDate":"2023-12-21T06:41:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Site fidelity, the tendency to return to a previously visited site, is commonly observed in migratory birds. This behaviour would be advantageous if birds returning to the same site, benefit from their previous knowledge about local resources. However, when habitat quality declines at a site over time, birds with lower site fidelity might benefit from a tendency to move to sites with better habitats. As a first step towards understanding the influence of site fidelity on how animals cope with habitat deterioration, here we describe site fidelity variation in two species of sympatric migratory shorebirds (Bar-tailed Godwits<span>&nbsp;</span><i>Limosa lapponica</i><span>&nbsp;</span>and Great Knots<span>&nbsp;</span><i>Calidris tenuirostris</i>). Both species are being impacted by the rapid loss and deterioration of intertidal habitats in the Yellow Sea where they fuel up during their annual long-distance migrations.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>Using satellite tracking and mark-resighting data, we measured site fidelity in the non-breeding (austral summer) and migration periods, during which both species live and co-occur in Northwest Australia and the Yellow Sea, respectively.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Site fidelity was generally high in both species, with the majority of individuals using only one site during the non-breeding season and revisiting the same sites during migration. Nevertheless, Great Knots did exhibit lower site fidelity than Bar-tailed Godwits in both Northwest Australia and the Yellow Sea across data types.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Great Knots encountered substantial habitat deterioration just before and during our study period but show the same rate of decline in population size and individual survival as the less habitat-impacted Bar-tailed Godwits. This suggests that the lower site fidelity of Great Knots might have helped them to cope with the habitat changes. Future studies on movement patterns and their consequences under different environmental conditions by individuals with different degrees of site fidelity could help broaden our understanding of how species might react to, and recover from, local habitat deterioration.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00443-9","usgsCitation":"Chan, Y., Chan, D.T., Tibbitts, T., Hassell, C.J., and Piersma, T., 2023, Site fidelity of migratory shorebirds facing habitat deterioration: Insights from satellite tracking and mark-resighting: Movement Ecology, v. 11, 79, 13 p., https://doi.org/10.1186/s40462-023-00443-9.","productDescription":"79, 13 p.","ipdsId":"IP-151596","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00443-9","text":"Publisher Index Page"},{"id":426959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Ying-Chi","contributorId":167762,"corporation":false,"usgs":false,"family":"Chan","given":"Ying-Chi","email":"","affiliations":[{"id":24822,"text":"Department of Marine Ecology, NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chan, David Tsz-Chung","contributorId":334994,"corporation":false,"usgs":false,"family":"Chan","given":"David","email":"","middleInitial":"Tsz-Chung","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":897212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":897213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hassell, Chris J.","contributorId":127818,"corporation":false,"usgs":false,"family":"Hassell","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piersma, Theunis","contributorId":45863,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":897235,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250626,"text":"dr1186 - 2023 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","interactions":[],"lastModifiedDate":"2026-02-04T20:19:51.548438","indexId":"dr1186","displayToPublicDate":"2023-12-20T16:01:03","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1186","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2022","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","docAbstract":"<p>The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. Drinking-water supplies throughout the basin were obtained primarily from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.</p><p>An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. As of water year 2022, the network consisted of 120 wells and piezometers at 54 locations. The USGS, in cooperation with the ABCWUA, the New Mexico Office of the State Engineer, and Bernalillo County, measures water levels at the wells and piezometers in the network; this report, prepared in cooperation with the ABCWUA, presents water-level data collected by USGS personnel at the sites through water year 2022 (October 1, 2021, through September 30, 2022). Water-level data that were collected in previous water years from wells that were later discontinued were published in previous USGS reports.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1186","issn":"2771-9448","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Bell, M.T., and Montero, N.Y., 2023, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022: U.S. Geological Survey Data Report 1186, 42 p., https://doi.org/10.3133/dr1186.","productDescription":"Report: iv, 42 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-153179","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":423823,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":423820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1186 XML"},{"id":423818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1186/coverthb.jpg"},{"id":423819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.pdf","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1186"},{"id":423821,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1186/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1186 HTML"},{"id":423822,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1186/images"},{"id":499558,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115709.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.82700159405645,\n              34.09776221662605\n            ],\n            [\n              -105.91538050030636,\n              34.09776221662605\n            ],\n            [\n              -105.91538050030636,\n              36.30588569471621\n            ],\n            [\n              -107.82700159405645,\n              36.30588569471621\n            ],\n            [\n              -107.82700159405645,\n              34.09776221662605\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey&nbsp;<br><span class=\"HQEo7\" role=\"link\" data-markjs=\"true\" data-mce-tabindex=\"0\">6700 Edith Blvd. NE <br>Albuquerque, NM 87113</span></p><div><a data-mce-href=\"../\" href=\"../\">Contact Pubs Warehouse</a></div>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope </li><li>Methods </li><li>Water-Level Data </li><li>Acknowledgments </li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Meghan T. 0000-0003-4993-1642 mtbell@usgs.gov","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":197069,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan","email":"mtbell@usgs.gov","middleInitial":"T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montero, N.Y. 0000-0002-2791-3390","orcid":"https://orcid.org/0000-0002-2791-3390","contributorId":295315,"corporation":false,"usgs":true,"family":"Montero","given":"N.Y.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256474,"text":"70256474 - 2023 - Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations","interactions":[],"lastModifiedDate":"2024-08-08T10:55:46.557875","indexId":"70256474","displayToPublicDate":"2023-12-20T10:49:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations","docAbstract":"<p><span>Scientific experts from different disciplines often struggle to mesh their specialized perspectives into the shared mindset that is needed to address difficult and persistent environmental, ecological, and societal problems. Many traditional graduate programs provide excellent research and technical skill training. However, these programs often do not teach a systematic way to learn team skills, nor do they offer a protocol for identifying and tackling increasingly integrated interdisciplinary (among disciplines) and transdisciplinary (among researchers and stakeholders) questions. As a result, professionals trained in traditional graduate programs (e.g., current graduate students and employed practitioners) may not have all of the collaborative skills needed to advance solutions to difficult scientific problems. In the present article, we illustrate a tractable, widely implementable structured process called RISE that accelerates the development of these missing skills. The RISE process (Route to Identifying, learning, and practicing interdisciplinary and transdisciplinary team Skills to address difficult Environmental problems) can be used by diverse teams as a tool for research, professional interactions, or training. RISE helps professionals with different expertise learn from each other by repeatedly asking team-developed questions that are tested using an interactive quantitative tool (e.g., agent-based models, machine learning, case studies) applied to a shared problem framework and data set. Outputs from the quantitative tool are then discussed and interpreted as a team, considering all team members’ perspectives, disciplines, and expertise. After this synthesis, RISE is repeated with new questions that the team jointly identified in earlier data interpretation discussions. As a result, individual perspectives, originally informed by disciplinary training, are complemented by a shared understanding of team function and elevated interdisciplinary knowledge.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biad097","usgsCitation":"Mather, M.E., Granco, G., Bergtold, J., Caldas, M., Heier Stamm, J., Sheshukov, A., Sanderson, M., and Daniels, M., 2023, Achieving success with RISE: A widely implementable, iterative, structured process for mastering interdisciplinary team science collaborations: BioScience, v. 73, no. 12, p. 891-905, https://doi.org/10.1093/biosci/biad097.","productDescription":"15 p.","startPage":"891","endPage":"905","ipdsId":"IP-148659","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441388,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biad097","text":"Publisher Index Page"},{"id":432344,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-0827-3006 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-0827-3006","contributorId":340771,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granco, Gabriel","contributorId":340772,"corporation":false,"usgs":false,"family":"Granco","given":"Gabriel","email":"","affiliations":[{"id":66019,"text":"Cal Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":907538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergtold, Jason","contributorId":340773,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldas, Marcellus","contributorId":340774,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heier Stamm, Jessica","contributorId":340775,"corporation":false,"usgs":false,"family":"Heier Stamm","given":"Jessica","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheshukov, Aleksey","contributorId":340776,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, Matthew","contributorId":340777,"corporation":false,"usgs":false,"family":"Sanderson","given":"Matthew","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907543,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daniels, Melinda","contributorId":340778,"corporation":false,"usgs":false,"family":"Daniels","given":"Melinda","affiliations":[{"id":37456,"text":"Stroud Water Research Center","active":true,"usgs":false}],"preferred":false,"id":907544,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264990,"text":"70264990 - 2023 - The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","interactions":[],"lastModifiedDate":"2025-06-16T15:39:44.034151","indexId":"70264990","displayToPublicDate":"2023-12-20T10:35:54","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The species status assessment: A framework for assessing species status and risk to support endangered species management decisions","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The codex of the Endangered Species Act, volume II","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bloomsbury Publishing","usgsCitation":"McGowan, C., Allan, N., and Smith, D.R., 2023, The species status assessment: A framework for assessing species status and risk to support endangered species management decisions, chap. <i>of</i> The codex of the Endangered Species Act, volume II, p. 87-102.","productDescription":"16 p.","startPage":"87","endPage":"102","ipdsId":"IP-138969","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Volume II","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":932174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan","contributorId":340757,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":932175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-9560-5210 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-9560-5210","contributorId":329849,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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