{"pageNumber":"108","pageRowStart":"2675","pageSize":"25","recordCount":165309,"records":[{"id":70262532,"text":"70262532 - 2025 - Assessing methods for mitigating fungal contamination in freshwater mussel in vitro propagation","interactions":[],"lastModifiedDate":"2025-01-22T23:28:28.759251","indexId":"70262532","displayToPublicDate":"2022-04-07T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Assessing methods for mitigating fungal contamination in freshwater mussel in vitro propagation","docAbstract":"<p><span>Many freshwater mussel species are critically imperiled, and propagation is essential for species ‘recovery.’ Fungal contamination can negatively affect in vitro propagation of freshwater mussels; thus, we investigated methods of mitigating fungal contamination. Specifically, we tested the effect of medium replacement frequency and antifungal (Amphotericin B) concentrations on risk of fungal contamination and transformation success of two species,&nbsp;</span><i>Alasmidonta heterodon</i><span>&nbsp;and congener,&nbsp;</span><i>Alasmidonta undulata</i><span>. We observed a trend of increased contamination risk in treatment groups that received medium replacements every 1 or 2&nbsp;days (vs. every 3&nbsp;days), but this trend was not statistically significant. We found that contamination risk differed significantly across Amphotericin B concentrations. Although contamination severity reduced transformation success, we found no significant difference in transformation success based on medium replacement frequency. Amphotericin B concentration was negatively correlated with transformation success, suggesting toxicity at higher concentrations. Additionally, we identified the fungal pathogen (</span><i>Candida parapsilosis</i><span>), the first knowledge of this fungus during mussel culture. Our findings suggest that low contamination results in high probability for transformation success; however, there is a tradeoff in higher concentrations of Amphotericin B. This study offers new ideas for improving mussel propagation techniques that may better control fungal contamination and increase transformation success.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-022-04865-1","usgsCitation":"Ryan, J., Roy, A.H., Hazelton, P., Perkins, D., Warren, T., Walsh, C., and Wick, R., 2025, Assessing methods for mitigating fungal contamination in freshwater mussel in vitro propagation: Hydrobiologia, v. 849, p. 2487-2501, https://doi.org/10.1007/s10750-022-04865-1.","productDescription":"15 p.","startPage":"2487","endPage":"2501","ipdsId":"IP-130200","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.90052604994074,\n              43.07411667175094\n            ],\n            [\n              -73.63494154119466,\n              41.88903065318709\n            ],\n            [\n              -76.9514485257531,\n              38.493648098761916\n            ],\n            [\n              -78.3888770730752,\n              34.15440116334608\n            ],\n            [\n              -77.24624008006496,\n              33.63260221330839\n            ],\n            [\n              -69.44388839423355,\n              41.553363777744096\n            ],\n            [\n              -70.90052604994074,\n              43.07411667175094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"849","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Jennifer E.","contributorId":349576,"corporation":false,"usgs":false,"family":"Ryan","given":"Jennifer E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":349577,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":924483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, David L.","contributorId":349578,"corporation":false,"usgs":false,"family":"Perkins","given":"David L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Timothy","contributorId":349579,"corporation":false,"usgs":false,"family":"Warren","given":"Timothy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Claire","contributorId":349580,"corporation":false,"usgs":false,"family":"Walsh","given":"Claire","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wick, Robert","contributorId":349581,"corporation":false,"usgs":false,"family":"Wick","given":"Robert","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924487,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262048,"text":"70262048 - 2025 - Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","interactions":[],"lastModifiedDate":"2025-01-10T16:48:44.753399","indexId":"70262048","displayToPublicDate":"2022-03-17T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes","docAbstract":"<p>The proliferation of energy rights-of-way (pipelines and powerlines; ROWs) in the central Appalachian region has prompted wildlife management agencies to consider ways to use these features to manage and conserve at-risk songbird species. However, little empirical evidence exists regarding best management strategies to enhance habitat surrounding ROWs for the songbird community during stopover or breeding periods. We used a before-after-control-impact design to study cut-back border (linear tree cuttings along abrupt forest edges) harvest width (15 m, 30 m, and 45 m wide into the forest) and harvest intensity (14 m<sup>2</sup>/ha and 4.5 m<sup>2</sup>/ha basal area retention) prescriptions along ROWs and assessed their effects on mature forest and young forest songbird species and avian guilds (forest gap habitat, forest interior habitat, young forest habitat, and species of regional conservation priority) up to two years after treatment throughout West Virginia. Species richness during the spring stopover period initially decreased at one-year post-treatment but returned to pre-treatment levels by two-year post-treatment. Breeding season responses to cut-back border treatments varied across harvest width, harvest intensity, and time, but all responses of focal species abundance and guild richness were neutral or positive. Cut-back border harvest intensity had a stronger influence (i.e., more positive responses) than harvest width on breeding focal species abundances and guild richness. For harvest intensity, the more intense, 4.5 m<sup>2</sup>/ha retention treatment had a stronger influence (i.e., more positive responses) than the less intense, 14 m<sup>2</sup>/ha retention treatment. For harvest width, the narrowest treatment (15-m wide) had the strongest influence (i.e., more positive responses) of all width treatments, followed by the widest (45-m wide treatment) with the least influence from the 30-m wide treatment. Abundances and richness increased from pre-treatment to two-year post-treatment across all species and guilds that exhibited a response. These results suggest that cut-back borders increase breeding season habitat suitability along ROWs for the mature forest and young forest songbird community as well as for species of regional conservation priority in the short-term. These findings can aid development of management guidelines for the forest songbird community along abrupt forest edges of man-made habitat features in forest-dominated landscapes.&nbsp;</p>","language":"English","publisher":"Europe PMC","doi":"10.1002/eap.2540","usgsCitation":"Margenau, E.L., Wood, P.B., and Rota, C., 2025, Habitat management for stopover and breeding songbird communities along rights-of-way in forest-dominated landscapes: Ecological Applications, v. 32, no. 3, e2540, 17 p., https://doi.org/10.1002/eap.2540.","productDescription":"e2540, 17 p.","ipdsId":"IP-128489","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West 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Virginia\",\"nation\":\"USA  \"}}]}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Margenau, Eric L.","contributorId":276179,"corporation":false,"usgs":false,"family":"Margenau","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":922815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rota, Christopher T.","contributorId":348005,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":922816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273013,"text":"70273013 - 2025 - Identifying mismatches between conservation area networks and vulnerable populations using spatial randomization","interactions":[],"lastModifiedDate":"2025-12-15T14:51:05.031613","indexId":"70273013","displayToPublicDate":"2021-12-25T08:48:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Identifying mismatches between conservation area networks and vulnerable populations using spatial randomization","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Grassland birds are among the most globally threatened bird groups due to substantial degradation of native grassland habitats. However, the current network of grassland conservation areas may not be adequate for halting population declines and biodiversity loss. Here, we evaluate a network of grassland conservation areas within Wisconsin, U.S.A., that includes both large Focal Landscapes and smaller targeted conservation areas (e.g., Grassland Bird Conservation Areas, GBCAs) established within them. To date, this conservation network has lacked baseline information to assess whether the current placement of these conservation areas aligns with population hot spots of grassland-dependent taxa. To do so, we fitted data from thousands of avian point-count surveys collected by citizen scientists as part of Wisconsin's Breeding Bird Atlas II with multinomial&nbsp;</span><i>N</i><span>-mixture models to estimate habitat–abundance relationships, develop spatially explicit predictions of abundance, and establish ecological baselines within priority conservation areas for a suite of obligate grassland songbirds. Next, we developed spatial randomization tests to evaluate the placement of this conservation network relative to randomly placed conservation networks. Overall, less than 20% of species statewide populations were found within the current grassland conservation network. Spatial tests demonstrated a high representation of this bird assemblage within the entire conservation network, but with a bias toward birds associated with moderately tallgrasses relative to those associated with shortgrasses or tallgrasses. We also found that GBCAs had higher representation at Focal Landscape rather than statewide scales. Here, we demonstrated how combining citizen science data with hierarchical modeling is a powerful tool for estimating ecological baselines and conducting large-scale evaluations of an existing conservation network for multiple grassland birds. Our flexible spatial randomization approach offers the potential to be applied to other protected area networks and serves as a complementary tool for conservation planning efforts globally.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8270","usgsCitation":"Nunes, L.A., Ribic, C., and Zuckerberg, B., 2025, Identifying mismatches between conservation area networks and vulnerable populations using spatial randomization: Ecology and Evolution, v. 11, no. 22, p. 16006-16020, https://doi.org/10.1002/ece3.8270.","productDescription":"15 p.","startPage":"16006","endPage":"16020","ipdsId":"IP-126101","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497717,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8270","text":"Publisher Index Page"},{"id":497474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Central Wisconsin Grasslands Conservation Area, Southwest Grasslands and Stream Conservation Area, Western Prairie Habitat Restoration Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.79195210637957,\n              44.827258718630105\n            ],\n            [\n              -91.41144360585636,\n              43.85420962467394\n            ],\n            [\n              -91.08303881583507,\n              42.83204929697988\n            ],\n            [\n              -90.58076409826324,\n              42.48980507075734\n            ],\n            [\n              -89.31258381269711,\n              42.531068987157965\n            ],\n            [\n              -89.424469717728,\n              44.894480414879325\n            ],\n            [\n              -92.79195210637957,\n              44.827258718630105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"22","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nunes, Laura A.","contributorId":363905,"corporation":false,"usgs":false,"family":"Nunes","given":"Laura","middleInitial":"A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":952097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuckerberg, Benjamin","contributorId":363908,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":952098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262519,"text":"70262519 - 2025 - What have we lost? Modeling dam impacts on American shad populations through their native range","interactions":[],"lastModifiedDate":"2025-01-23T18:02:41.609727","indexId":"70262519","displayToPublicDate":"2021-10-24T11:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"What have we lost? Modeling dam impacts on American shad populations through their native range","docAbstract":"<p><span>American shad (</span><i>Alosa sapidissima</i><span>) are native to the east coast of North America from the St. Johns River, Florida, to the St. Lawrence River region in Canada. Since the 1800s, dams have reduced access to spawning habitat. To assess the impact of dams, we estimated the historically accessed spawning habitat in coastal rivers (485,618 river segments with 21,113 current dams) based on (i) width, (ii) distance from seawater, and (iii) slope (to exclude natural barriers to migration) combined with local knowledge. Estimated habitat available prior to dam construction (2,752 km</span><sup>2</sup><span>) was 41% greater than current fully accessible habitat (1,639 km</span><sup>2</sup><span>). River-specific population models were developed using habitat estimates and latitudinally appropriate life history parameters (e.g., size at age, maturity, iteroparity). Estimated coast-wide annual production potential was 69.1 million spawners compared with a dammed scenario (41.8 million spawners). Even with optimistic fish passage performance assumed for all dams (even if passage is completely absent), the dam-imposed deficit was alleviated by fewer than 3 million spawners. We estimate that in rivers modeled without dams, 98,000 metric tons of marine sourced biomass and nutrients were annually delivered, 60% of which was retained through carcasses, gametes and metabolic waste. Damming is estimated to have reduced this by more than one third. Based on our results, dams represent a significant and acute constraint to the population and, with other human impacts, reduce the fishery potential and ecological services attributed to the species.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.734213","usgsCitation":"Zydlewski, J.D., Stich, D.S., Roy, S., Bailey, M., Sheehan, T.F., and Sprankle, K., 2025, What have we lost? Modeling dam impacts on American shad populations through their native range: Frontiers in Marine Science, v. 8, 734213, 23 p., https://doi.org/10.3389/fmars.2021.734213.","productDescription":"734213, 23 p.","ipdsId":"IP-131060","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.734213","text":"Publisher Index Page"},{"id":481057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -56.28219724835304,\n              51.669977422737105\n            ],\n            [\n              -67.58323441275405,\n              50.88517823694593\n            ],\n            [\n              -75.47655261205108,\n              44.788885115920294\n            ],\n            [\n              -78.80188471400243,\n              40.10295269998778\n            ],\n            [\n              -78.42083873696455,\n              36.01921260607415\n            ],\n            [\n              -82.94641561076531,\n              32.75686616137071\n            ],\n            [\n              -80.74112054616836,\n              27.66399349231928\n            ],\n            [\n              -79.96534810037133,\n              29.923339649669487\n            ],\n            [\n              -74.89083345921267,\n              35.07101636720273\n            ],\n            [\n              -72.38821391976802,\n              39.93977209782662\n            ],\n            [\n              -58.55637489176931,\n              46.202660856570446\n            ],\n            [\n              -56.28219724835304,\n              51.669977422737105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":924425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stich, Daniel S.","contributorId":280276,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":33660,"text":"SUNY Oneonta","active":true,"usgs":false}],"preferred":false,"id":924430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Samuel G.","contributorId":276396,"corporation":false,"usgs":false,"family":"Roy","given":"Samuel G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Michael M.","contributorId":280279,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheehan, Timothy F","contributorId":215995,"corporation":false,"usgs":false,"family":"Sheehan","given":"Timothy","email":"","middleInitial":"F","affiliations":[{"id":39347,"text":"NOAA Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":924428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924429,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266304,"text":"70266304 - 2025 - Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners","interactions":[],"lastModifiedDate":"2025-05-02T15:37:57.927326","indexId":"70266304","displayToPublicDate":"2021-08-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners","docAbstract":"There is an imperative for conservation practitioners to facilitate the ability of biodiversity to adapt to accelerating environmental change. Evolutionary biologists are well-positioned to inform the development of evidence-based management strategies that will effectively support the adaptive capacity of species and ecosystems. Conservation practitioners increasingly accept that management practices must change, but harbor concerns about how to apply recommended changes to their management contexts. Given the goodwill from both conservation practitioners and evolutionary biologists, we believe there is opportunity to accelerate the required changes by promoting closer collaboration between these two groups. We highlight how evolutionary biologists can harness lessons learned via the evidence-based conservation movement to make a substantive contribution to the development of effective conservation management practices. These lessons include: 1) recognising why practitioners do and do not use scientific evidence; 2) building an evidence base that will influence management decisions; 3) translating theory into a format that conservation practitioners can use to inform management practices; and 4) developing strategies for effective knowledge exchange. Although efforts will be required on both sides, we believe there are rewards for both practitioners and evolutionary biologists, not least of which is fostering practices that will help support the long-term persistence of species.","language":"English","publisher":"Wiley","doi":"10.1111/eva.13266","usgsCitation":"Cook, C.N., Beever, E.A., Thurman, L., Thompson, L., Gross, J.E., Whiteley, A., Nicotra, A., Szymanski, J., Botero, C., Hall, K., Hoffmann, A., Schuurman, G.W., and Sgro, C., 2025, Supporting the adaptive capacity of species through more effective knowledge exchange with conservation practitioners: Evolutionary Applications, v. 14, no. 8, p. 1969-1979, https://doi.org/10.1111/eva.13266.","productDescription":"11 p.","startPage":"1969","endPage":"1979","ipdsId":"IP-123341","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13266","text":"Publisher Index Page"},{"id":485336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Carly N.","contributorId":204315,"corporation":false,"usgs":false,"family":"Cook","given":"Carly","email":"","middleInitial":"N.","affiliations":[{"id":36914,"text":"School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia","active":true,"usgs":false}],"preferred":false,"id":935483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":935484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, Lindsey 0000-0003-3142-4909","orcid":"https://orcid.org/0000-0003-3142-4909","contributorId":269425,"corporation":false,"usgs":true,"family":"Thurman","given":"Lindsey","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":935485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":212190,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":935486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":935487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteley, Andrew R.","contributorId":286853,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":935488,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nicotra, Adrienne","contributorId":147686,"corporation":false,"usgs":false,"family":"Nicotra","given":"Adrienne","affiliations":[{"id":16897,"text":"Division of Evolution, Ecology and Genetics, Research School of Biology, Australian National University, Canberra","active":true,"usgs":false}],"preferred":false,"id":935489,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Szymanski, Jennifer A.","contributorId":354359,"corporation":false,"usgs":false,"family":"Szymanski","given":"Jennifer A.","affiliations":[],"preferred":false,"id":935490,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Botero, Carlos","contributorId":354353,"corporation":false,"usgs":false,"family":"Botero","given":"Carlos","affiliations":[],"preferred":false,"id":935491,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hall, Kimberley","contributorId":354354,"corporation":false,"usgs":false,"family":"Hall","given":"Kimberley","affiliations":[],"preferred":false,"id":935492,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hoffmann, Ary A.","contributorId":354360,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Ary A.","affiliations":[],"preferred":false,"id":935493,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":935494,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sgro, Carla","contributorId":354351,"corporation":false,"usgs":false,"family":"Sgro","given":"Carla","affiliations":[],"preferred":false,"id":935495,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70269697,"text":"70269697 - 2025 - Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System","interactions":[],"lastModifiedDate":"2025-07-30T14:37:59.419554","indexId":"70269697","displayToPublicDate":"2021-02-01T09:32:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8912,"text":"International Journal of Applied Earth Observations and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System","docAbstract":"<p><span>The large groundwater reserves of the Urucuia Aquifer System (UAS) enabled agricultural development and economic growth in the western Bahia State, in northeastern Brazil. Over the last several years, concern has grown around the aquifer’s diminishing water levels, and water balance (WB) studies are in demand. Considering the lack of measured actual evapotranspiration (ET</span><sub>a</sub><span>), a major component of the water cycle, this work uses the Operational Simplified Surface Energy Balance (SSEBop) model to estimate ET</span><sub>a</sub><span>, and compares it to basin-scale estimates from the Soil Moisture Accounting Procedure (SMAP) monthly model and from an annual WB closure method, based on gridded meteorological data and the Gravity Recovery and Climate Experiment (GRACE) product. Additionally, a comparative assessment of different versions of the SSEBop parameterization was performed. Moderate Resolution Imaging Spectroradiometer (MODIS) imagery was used to implement eight different versions of the SSEBop algorithm over the UAS between 2000 and 2013. SSEBop and SMAP ET</span><sub>a</sub><span>&nbsp;yielded similar seasonal patterns, with correlation coefficient (r) up to 0.65, mean difference (MD) of 0.8&nbsp;mm/month and mean absolute difference (MAD) of 18.5&nbsp;mm/month. Comparison of SSEBop annual ET</span><sub>a</sub><span>&nbsp;estimates to annual SMAP and WB closure estimates yielded low MD (12.1 and −7.3&nbsp;mm/year, respectively) and MAD (82.5 and 82.8&nbsp;mm/year, respectively), but also low r values (0.00 and 0.37, respectively). The comparison of the different SSEBop versions indicated the need to incorporate a calibration step of the aerodynamic heat resistance (r</span><sub>ah</sub><span>) parameter. SSEBop results were also used for land cover and drought monitoring. Analysis indicates that agriculture, associated with an increasing trend of atmospheric evaporative demand, is responsible for the decrease in groundwater levels and streamflow in the studied time period.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2021.102298","usgsCitation":"Comini de Andrade, B., de Andrade Pinto, E., Ruhoff, A., and Senay, G.B., 2025, Remote sensing-based actual evapotranspiration assessment in a data-scarce area of Brazil: A case study of the Urucuia Aquifer System: International Journal of Applied Earth Observations and Geoinformation, v. 98, 102298, 16 p., https://doi.org/10.1016/j.jag.2021.102298.","productDescription":"102298, 16 p.","ipdsId":"IP-125399","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2021.102298","text":"Publisher Index Page"},{"id":493182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Urucuia Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -43,\n              -9.75\n            ],\n            [\n              -47,\n              -9.75\n            ],\n            [\n              -47,\n              -16\n            ],\n            [\n              -43,\n              -16\n            ],\n            [\n              -43,\n              -9.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Comini de Andrade, Bruno  César","contributorId":358913,"corporation":false,"usgs":false,"family":"Comini de Andrade","given":"Bruno  César","affiliations":[{"id":85711,"text":"Instituto de Pesquisas Hidráulicas, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.","active":true,"usgs":false}],"preferred":false,"id":944465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Andrade Pinto, Eber José","contributorId":358914,"corporation":false,"usgs":false,"family":"de Andrade Pinto","given":"Eber José","affiliations":[{"id":85714,"text":"Escola de Engenharia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, and Serviço Geológico do Brasil-CPRM,  Belo Horizonte, Brazil","active":true,"usgs":false}],"preferred":false,"id":944466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruhoff, Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":944467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":944468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266307,"text":"70266307 - 2025 - Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","interactions":[],"lastModifiedDate":"2025-05-02T15:34:19.960507","indexId":"70266307","displayToPublicDate":"2020-05-20T10:30:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs","docAbstract":"<div id=\"sp0090\" class=\"u-margin-s-bottom\"><span>Recent advances in satellite imaging technology have greatly improved our observations of&nbsp;planetary surfaces. The&nbsp;Lunar Reconnaissance Orbiter&nbsp;(LRO) Narrow Angle Camera (NAC) records images with resolutions on average of 0.5&nbsp;m per pixel, resolving meter scale features on the surface of the Moon. NAC images have revealed layered deposits, interpreted to be sequences of mare&nbsp;basalt&nbsp;flows, in the walls of impact craters on the lunar nearside. However, caution must be exercised in the interpretation of&nbsp;surface processes&nbsp;from morphologies of features that are close to the limits of detectability. Our goal is to quantify where that limit is for&nbsp;</span>lava flow<span>&nbsp;</span>stratigraphy.</div><div id=\"sp0095\" class=\"u-margin-s-bottom\"><span>Here we report on a terrestrial analog study conduced to better constrain limitations in the measurements of thicknesses of lava flows observed in high-resolution satellite-collected images. Using WorldView-2 satellite images, we mapped layered&nbsp;basalt&nbsp;flows at three sites in the Wai'anae and Ko'olau Ranges of O'ahu, Hawai'i.&nbsp;</span>Fieldwork<span>&nbsp;conducted at these sites allowed for assessment of the accuracy of image interpretations. We found that flow thickness estimates made using WorldView-2 images overestimated thicknesses of individual lava flows measured in the field at all eight locations visited by a factor of 1.2 to 3.5. A primary reason for this overestimation by&nbsp;remote sensing&nbsp;analysis is that many outcropping “layers” within a transect contain more than one individual flow, a distinction that is not visible in satellite images. However, the mean thickness of the layers seen in the orbital data was 0.8 to 1.7 times the outcrop thickness measured in the field, suggesting that the remote measurements should be considered estimates of the outcrop thickness rather than the thickness of individual lava flows.</span></div><div id=\"sp0100\" class=\"u-margin-s-bottom\">Measurements of layered lunar mare lava units in LRO NAC images provided layer thicknesses that ranged from &lt;1–6 times greater than those derived from images of the O'ahu study sites. It is reasonable to expect that many lunar outcrops similarly contain more than one individual flow and display similar outcropping patterns. This suggests that many current estimates of layer thicknesses derived by comparable methods actually correspond to outcrop thicknesses. Current interpretations of<span>&nbsp;</span>lava flow<span>&nbsp;</span>thicknesses derived from planetary images should be considered maximums for individual flow thicknesses with uncertainties that may be as high as a factor of 3 or more.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2020.113853","usgsCitation":"Rumpf, M.E., Needham, H., and Fagents, S.A., 2025, Thicknesses of lava flows in satellite images: Comparison of layered mare units with terrestrial analogs: Icarus, v. 350, 113853, 15 p., https://doi.org/10.1016/j.icarus.2020.113853.","productDescription":"113853, 15 p.","ipdsId":"IP-088728","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":485335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.215439926225343\n            ],\n            [\n              -157.6127344200394,\n              21.5195764297997\n            ],\n            [\n              -158.27285429377633,\n              21.5195764297997\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"350","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Needham, Heidi 0000-0003-2201-4959","orcid":"https://orcid.org/0000-0003-2201-4959","contributorId":354375,"corporation":false,"usgs":false,"family":"Needham","given":"Heidi","affiliations":[{"id":38449,"text":"University of Hawai‘i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":935520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":935521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266186,"text":"70266186 - 2025 - Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry","interactions":[],"lastModifiedDate":"2025-04-29T15:08:25.529281","indexId":"70266186","displayToPublicDate":"2019-01-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2155,"text":"Journal of Analytical Atomic Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry","docAbstract":"Use of small spots (≤20µm) for laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) U-Pb zircon geochronology is of increasing interest in the Earth sciences because the temporal record of geologic processes is often preserved on a fine-scale within zircon grains. However the systematic biases and external sources of uncertainity of U-Pb ages is poorly defined when measured on small spots by LA-ICP-single-collector-sector-field (SF)-MS instrumentation. This study addresses the accuracy and precision for small spots and specifically the extent to which short ablation times limit Pb/U Down-Hole Fractionation (DHF), which largely controls the accuracy of the U-Pb ages. Six zircon reference materials (91500, FC-1, R33, Temora 2, Plešovice and Fish Canyon Tuff) were measured on spot sizes of 20, 15, 10 and 7 µm diameter. Laser fluence was increased from 3 to 6 J/cm2 with decreasing spot size to compensate partially for decreasing U and Pb signals. 91500 zircon was the calibration reference material. Raw count rate data were processed using Iolite version 3.63 software with the U-Pb Common Approach data reduction scheme and smoothed cubic spline DHF correction model. Samples were ablated for 30 seconds and results processed for the first 28, 15, 10 and 7 seconds of ablation (masking the initial 2 seconds) in order to assess the accuracy and precision of U-Pb ages as a function of ablation time. Measured 206Pb/238U ratios for the six zircon reference materials increase steadily with ablation time, reflecting DHF, but exhibit somewhat different patterns of increase for different zircons, producing the major source of uncertainty for the U-Pb ages. A secondary source of uncertainty is differences between the 206Pb/238U (normalized to their accepted values) for different zircons near the start of ablation, which may reflect matrix-dependent instrumental mass bias in the ICP. Nonetheless, processing data from only the first 10 to 15 seconds of ablation (50 to 75 laser pulses) restricts the extent of DHF and time-resolved Pb/U variations between different zircons to a sufficient degree to give concordant U-Pb ages on 20 to 7 µm spots that are accurate and precise to better than 1.4% using LA-ICP-single-collector-SF-MS instrumentation.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8ja00321a","collaboration":"Texas Tech University","usgsCitation":"Mukherjee, P., Souders, A., and Sylvester, P., 2025, Accuracy and precision of U–Pb zircon geochronology at high spatial resolution (7–20 μm spots) by laser ablation-ICP-single-collector-sector-field-mass spectrometry: Journal of Analytical Atomic Spectrometry, v. 34, no. 1, p. 180-192, https://doi.org/10.1039/c8ja00321a.","productDescription":"13 p.","startPage":"180","endPage":"192","ipdsId":"IP-102052","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":485136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mukherjee, P.","contributorId":206380,"corporation":false,"usgs":false,"family":"Mukherjee","given":"P.","email":"","affiliations":[{"id":13342,"text":"Mesa Community College","active":true,"usgs":false}],"preferred":false,"id":934835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souders, Amanda 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvester, Paul J.","contributorId":353961,"corporation":false,"usgs":false,"family":"Sylvester","given":"Paul J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":934837,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266753,"text":"70266753 - 2025 - Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","interactions":[],"lastModifiedDate":"2025-05-12T14:03:38.358281","indexId":"70266753","displayToPublicDate":"2017-12-01T08:59:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas","docAbstract":"<p><span>New data including measured reflectance (%</span><i>R</i><sub>o</sub><span>), programmed open-system pyrolysis data, and kerogen elemental analyses obtained on the Mississippian Barnett Shale in the Fort Worth Basin, Texas, indicate that secondary-gas generation starts at 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and not at the previously prescribed 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>. Oil-cracking kinetic parameters derived from pyrolysis experiments in the presence and absence of water indicate that secondary-gas generation will not occur at a thermal maturity as low as 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;and requires a minimum thermal maturity of 1.5%&nbsp;</span><i>R</i><sub>o</sub><span>. This difference is especially important in using the Barnett Shale as an analog for evaluating other possible shale-gas plays. The new reflectance measurements have a good relationship with hydrogen indices (HIs) and compare well with other published data sets. However, the relationship does not compare well with the previously published data used to prescribe 1.1%&nbsp;</span><i>R</i><sub>o</sub><span>&nbsp;as the start of secondary-gas generation in the Barnett Shale. This discrepancy is attributed to differences in measured %</span><i>R</i><sub>o</sub><span>&nbsp;values and not attributed to differences in the HI values. Lack of publicly available information on the previously reported %</span><i>R</i><sub>o</sub><span>&nbsp;values makes it difficult to ascertain the reason for their lower values. These lower %</span><i>R</i><sub>o</sub><span>&nbsp;values also have impact on the previously prescribed relationship for estimating %</span><i>R</i><sub>o</sub><span>&nbsp;from the temperature at maximum yield by programmed open-system pyrolysis (</span><i>T</i><sub>max</sub><span>). As a result, the new data do not agree with a previously described relationship, and the considerable scatter makes the new relationship unreliable. However, the relationship between the HI and %</span><i>R</i><sub>o</sub><span>&nbsp;has less scatter, which indicates that HI offers a better proxy in calculating %</span><i>R</i><sub>o</sub><span>&nbsp;than&nbsp;</span><i>T</i><sub>max</sub><span>&nbsp;for the Barnett Shale. Comparison of various programmed open-system pyrolysis methods (i.e., Rock-Eval II, Rock-Eval 6, Source Rock Analyzer, and Hawk) indicates that variations in HI are within ±10% of one another. An HI of at least 44 mg/g total organic carbon is prescribed as a more certain limit for the start of secondary-gas generation and prospective in situ gas-shale accumulations.</span></p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01251716053","usgsCitation":"Lewan, M., and Pawlewicz, M., 2025, Reevaluation of thermal maturity and stages of petroleum formation of the Mississippian Barnett Shale, Fort Worth Basin, Texas: AAPG Bulletin, v. 101, no. 12, p. 1945-1970, https://doi.org/10.1306/01251716053.","productDescription":"26 p.","startPage":"1945","endPage":"1970","ipdsId":"IP-074437","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Fort Worth basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100,\n              34\n            ],\n            [\n              -100,\n              30.5\n            ],\n            [\n              -96.9,\n              30.5\n            ],\n            [\n              -96.9,\n              34\n            ],\n            [\n              -100,\n              34\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"101","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":936687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlewicz, M.J.","contributorId":354949,"corporation":false,"usgs":false,"family":"Pawlewicz","given":"M.J.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":936688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262508,"text":"70262508 - 2025 - High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","interactions":[],"lastModifiedDate":"2025-01-17T15:41:36.28869","indexId":"70262508","displayToPublicDate":"2017-08-24T09:30:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16133,"text":"Journal of Volcanology and Geothermal Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High-precision <sup>40</sup>Ar/<sup>39</sup>Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","title":"High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations","docAbstract":"<p><span>The Auckland Volcanic Field (AVF), which last erupted ca. 550</span><span>&nbsp;</span><span>years ago, is a late Quaternary monogenetic basaltic volcanic field (ca. 500</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>) in the northern North Island of New Zealand. Prior to this study only 12 out of the 53 identified eruptive centres of the AVF had been reliably dated. Careful sample preparation and&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar analysis has increased the number of well-dated centres in the AVF to 35. The high precision of the results is attributed to selection of fresh, non-vesicular, non-glassy samples from&nbsp;lava flow&nbsp;interiors. Sample selection was coupled with separation techniques that targeted only the groundmass of samples with &lt;</span><span>&nbsp;</span><span>5% glass and with groundmass feldspars &gt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>μm wide, coupled with ten-increment furnace step-heating of large quantities (up to 200</span><span>&nbsp;</span><span>mg) of material. The overall AVF age data indicate an onset at 193.2</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>2.8</span><span>&nbsp;</span><span>ka, an apparent six-eruption flare-up from 30 to 34</span><span>&nbsp;</span><span>ka, and a ≤</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>kyr hiatus between the latest and second-to-latest eruptions. Such non-uniformity shows that averaging the number of eruptions over the life-span of the AVF to yield a mean eruption rate is overly simplistic. Together with large variations in eruption volumes, and the large sizes and unusual chemistry within the latest eruptions (Rangitoto 1 and Rangitoto 2), our results illuminate a complex episodic eruption history. In particular, the rate of&nbsp;volcanism&nbsp;in AVF has increased since 60</span><span>&nbsp;</span><span>ka, suggesting that the field is still in its infancy. Multiple centres with unusual paleomagnetic inclination and declination orientations are confirmed to fit into a number of geomagnetic excursions, with five identified in the Mono Lake, two within the Laschamp, one within the post-Blake or Blake, and two possibly within the Hilina Pali.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.05.033","usgsCitation":"Leonard, G.S., Calvert, A.T., Hopkins, J., Wilson, C., Smid, E., Lindsay, J., and Champion, D.E., 2025, High-precision 40Ar/39Ar dating of Quaternary basalts from Auckland Volcanic Field, New Zealand, with implications for eruption rates and paleomagnetic correlations: Journal of Volcanology and Geothermal Resources, v. 343, p. 60-74, https://doi.org/10.1016/j.jvolgeores.2017.05.033.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-083682","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":480735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Auckland Volcanic Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              174.3891787593065,\n              -36.79183242491496\n            ],\n            [\n              174.3891787593065,\n              -37.16080256436752\n            ],\n            [\n              175.00388259163446,\n              -37.16080256436752\n            ],\n            [\n              175.00388259163446,\n              -36.79183242491496\n            ],\n            [\n              174.3891787593065,\n              -36.79183242491496\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leonard, Graham S.","contributorId":127469,"corporation":false,"usgs":false,"family":"Leonard","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":5111,"text":"GNS Science, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Jenni L","contributorId":349547,"corporation":false,"usgs":false,"family":"Hopkins","given":"Jenni L","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":924406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Colin J.N. 0000-0001-7565-0743","orcid":"https://orcid.org/0000-0001-7565-0743","contributorId":205373,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin J.N.","affiliations":[{"id":37090,"text":"Victoria University: Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":924407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smid, Elaine R. 0000-0003-1243-8619","orcid":"https://orcid.org/0000-0003-1243-8619","contributorId":349548,"corporation":false,"usgs":false,"family":"Smid","given":"Elaine R.","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":924409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Champion, Duane E. 0000-0001-7854-9034","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":345150,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924410,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261981,"text":"70261981 - 2024 - Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","interactions":[],"lastModifiedDate":"2025-01-07T14:54:29.601342","indexId":"70261981","displayToPublicDate":"2025-09-13T08:43:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19881,"text":"Metabarcoding & Metagenomics","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities","docAbstract":"<p><span>Unprecedented rates of biodiversity loss and ecosystem function necessitate the use of rapid, efficacious, and cost-effective biomonitoring tools. The combination of autonomous samplers and high throughput sequencing (i.e., “metabarcoding”) of environmental DNA (</span><abbr id=\"ABBRID0EPG\" title=\"environmental DNA\">eDNA</abbr><span>) samples enables characterization of entire communities at high frequency and can be an important tool for conservation and management, allowing researchers to track fluctuations in biodiversity. We deployed two autonomous samplers at two U.S. Geological Survey streamgage sites in the upper Snake River (Wyoming and Idaho, USA) to collect&nbsp;</span><abbr id=\"ABBRID0ETG\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;samples from July-September 2021 and 2022 to characterize fish diversity. We used a probabilistic approach to evaluate the effects of water temperature, water discharge, filter pore size, water volume filtered, number of samples collected, timing, and primers on the probability of detecting&nbsp;</span><abbr id=\"ABBRID0EXG\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;from fish species known to be present. We detected&nbsp;</span><abbr id=\"ABBRID0E2G\" title=\"environmental DNA\">eDNA</abbr><span>&nbsp;from 13/15 species present in these areas of the Snake River. Overall, we did not find evidence that filter pore size, water volume filtered, water discharge, and water temperature affected the probability of detecting fish species’&nbsp;</span><abbr id=\"ABBRID0E6G\" title=\"environmental DNA\">eDNA</abbr><span>. By contrast, primers and sampling day affected fish detection probabilities, indicating that primer choice and sampling day can either over- or under- estimate species diversity. These results indicate that users would ideally consider sampling on non-consecutive days and which primer set will maximize species detections.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/mbmg.8.122375","usgsCitation":"Jones-Slobodian, D.N., Augustine, B., Hutchins, P., Birch, J.M., Yamahara, K., Jensen, S.L., Richardson, R.T., Trott, R., Campbell, J., Barnhart, E.P., and Sepulveda, A., 2024, Autonomous samplers and environmental DNA metabarcoding: Sampling day and primer choice have greatest impact on fish detection probabilities: Metabarcoding & Metagenomics, v. 8, e122375, 23 p., https://doi.org/10.3897/mbmg.8.122375.","productDescription":"e122375, 23 p.","ipdsId":"IP-161729","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/mbmg.8.122375","text":"Publisher Index Page"},{"id":465748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2024-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":922532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birch, James M.","contributorId":255728,"corporation":false,"usgs":false,"family":"Birch","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":922534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamahara, Kevan","contributorId":239853,"corporation":false,"usgs":false,"family":"Yamahara","given":"Kevan","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":922535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Scott L.","contributorId":207327,"corporation":false,"usgs":false,"family":"Jensen","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":922536,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":922537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":922538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Campbell, James 0000-0002-2760-3149","orcid":"https://orcid.org/0000-0002-2760-3149","contributorId":218045,"corporation":false,"usgs":true,"family":"Campbell","given":"James","email":"","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922539,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922540,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922541,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70268678,"text":"70268678 - 2024 - U.S.-Mexico Borderland & vegetation community map","interactions":[],"lastModifiedDate":"2026-01-16T16:14:40.748506","indexId":"70268678","displayToPublicDate":"2025-06-01T10:10:41","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S.-Mexico Borderland & vegetation community map","docAbstract":"<p><span>People on both sides of the United States-Mexico border need a high-resolution, binational vegetation community map that spans the entire United States-Mexico borderlands. Traditionally, mapping efforts in this region were impeded by complex logistics related to the international border, differing national needs and plans, and resource allocations and priorities. To address this need, scientists from the U.S. Geological Survey (USGS) Southwest Biological Science Center partnered with the Sonoran Joint Venture, the U.S. Fish and Wildlife Service (FWS) Migratory Bird Program, data engineers from the Department of Biosystems Engineering at the University of Arizona, and collaborators from the Wildlands Network, the Borderlands Program to produce the first prototype land cover map within the overlapping Mojave Desert, Sonoran Desert, and the North American Bird Conservation Initiative’s Bird Conservation Region 33 (BCR33) using&nbsp;</span>Landsat satellite data<span>. BCR33 is an area of high biodiversity, providing habitat for bird species of concern and other wildlife. The land cover map supports FWS recovery plan efforts related to conservation planning activities for many species, including Yellow-billed Cuckoo (</span><i>Coccyzus americanus</i><span>), Cactus Ferruginous Pygmy-Owl (</span><i>Glaucidium brasilianum cactorum</i><span>), Southwestern Willow Flycatcher (</span><i>Empidonax traillii extimus</i><span>), Yuma Ridgway’s Rail (</span><i>Rallus obsoletus yumanensis</i><span>), Bendire’s thrasher (</span><i>Toxostoma bendirei</i><span>), LeConte’s thrasher (</span><i>Toxostoma lecontei</i><span>), Masked Bobwhite (</span><i>Colinus virginianus ridgwayi</i><span>), jaguar (</span><i>Panthera onca</i><span>), and endangered plants such as Bartram’s stonecrop (</span><i>Graptopetalum bartramii</i><span>) and the Pima pineapple cactus (</span><i>Coryphantha robustispina ssp. robustispina</i><span>). In 2024, a Phase-II map for the full BCR33 region was completed, increasing the understanding of the binational nature of natural communities. The published map and associated paper can be found&nbsp;</span><a rel=\"noopener\" href=\"https://doi.org/10.3390/rs15051266\" target=\"_blank\" data-mce-href=\"https://doi.org/10.3390/rs15051266\">here</a><span>.</span></p>","language":"English","publisher":"Department of the Interior","usgsCitation":"Nagler, P.L., 2024, U.S.-Mexico Borderland & vegetation community map, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169494","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491564,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/us-mexico-borderland-and-vegetation-community-map"},{"id":498746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Borderland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941624,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264083,"text":"70264083 - 2024 - Estimating occupancy of focal bee species","interactions":[],"lastModifiedDate":"2025-03-06T15:46:28.320936","indexId":"70264083","displayToPublicDate":"2025-03-03T09:39:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20199,"text":"Journal of Melittology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy of focal bee species","docAbstract":"<p><span>Current bee monitoring efforts have a limited capacity for understanding factors affecting wild bee population changes, including the effects of management. To improve the effectiveness of wild bee monitoring, we first discuss principles of biological monitoring and provide a framework to design monitoring projects to estimate species occupancy, where occupancy is defined as the probability that a Sampling Unit or site is occupied by the focal species. Monitoring practitioners should first define the desired goal or question of monitoring and secondly select the appropriate state variable for monitoring (</span><i>e.g</i><span>., species richness, occupancy, abundance). These represent two critical, yet often overlooked, steps in the development of wild bee monitoring projects. As with all forms of demographic monitoring, practitioners who are interested in estimating species occupancy will need to develop a sampling scheme tailored to meet their monitoring objectives. Defining key sampling terms will provide the architecture of their scheme, including the Area of Interest, Sampling Unit, Season, and Replicate Survey. We also highlight data standards, including&nbsp;</span><i>core<span>&nbsp;</span></i><span>data fields that must be collected during Surveys for bee occupancy data and additional,&nbsp;</span><i>recommended</i><span>&nbsp;data fields</span><i>.</i><span>&nbsp;We illustrate how these monitoring concepts are being applied to the design of a real-world monitoring project for the federally endangered rusty patched bumble bee (</span><i>Bombus affinis</i><span>&nbsp;Cresson). This framework was developed in association with the U.S. National Native Bee Monitoring Network.&nbsp;</span></p>","language":"English","publisher":"University of Kansas Libraries","doi":"10.17161/jom.vi123.22555","usgsCitation":"Otto, C., Bailey, L., Du Clos, B., Smith, T., Evans, E., Pearse, I.S., Killingsworth, S., Jepsen, S., and Woodard, H., 2024, Estimating occupancy of focal bee species: Journal of Melittology, https://doi.org/10.17161/jom.vi123.22555.","ipdsId":"IP-168839","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":489970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17161/jom.vi123.22555","text":"Publisher Index Page"},{"id":482972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":929718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du Clos, Brianne","contributorId":243556,"corporation":false,"usgs":false,"family":"Du Clos","given":"Brianne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":929892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Tamara","contributorId":351890,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":929719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Elaine","contributorId":335437,"corporation":false,"usgs":false,"family":"Evans","given":"Elaine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":929893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Killingsworth, Saff","contributorId":352014,"corporation":false,"usgs":false,"family":"Killingsworth","given":"Saff","affiliations":[],"preferred":false,"id":929894,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jepsen, Sarina","contributorId":352015,"corporation":false,"usgs":false,"family":"Jepsen","given":"Sarina","affiliations":[],"preferred":false,"id":929895,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woodard, Hollis","contributorId":351892,"corporation":false,"usgs":false,"family":"Woodard","given":"Hollis","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":929721,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70266285,"text":"70266285 - 2024 - The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","interactions":[],"lastModifiedDate":"2025-05-02T17:42:18.707217","indexId":"70266285","displayToPublicDate":"2025-02-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The effects of human-caused mortality on mammalian cooperative breeders: A synthesis","docAbstract":"<p><span>Human-caused mortality can be pervasive and even highly selective for individuals in groups of cooperative breeders. Many studies of cooperative breeders, however, do not address human-caused mortality. Similarly, studies focused on the effects of human-caused mortality on wildlife populations often do not consider the ecology of cooperative breeders. We searched the literature and identified 58 studies where human-caused mortality affected a group characteristic, vital rate, or population state of a cooperative breeder. Of studies reporting population growth or decline, 80% reported a link between human-caused mortality and population declines in cooperative breeders. Such studies often did not identify the mechanism behind population declines, but 28% identified concurrent declines in adult survival and another 21% reported concurrent declines in recruitment or reproduction. There was little overlap between the cooperative breeding and human-caused mortality literatures, limiting our ability to accrue knowledge. Future work would be beneficial if it (</span><i>i</i><span>) identified the vital rate(s) causing population declines, (</span><i>ii</i><span>) leveraged management actions such as lethal removal to ask questions about the ecology of group-living in cooperative breeders, and (</span><i>iii</i><span>) used insights from cooperative breeding theory to inform management actions and conservation of group-living species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13133","collaboration":"University of Idaho","usgsCitation":"Ausband, D.E., Rebholz, P.F., and Petrillo, L., 2024, The effects of human-caused mortality on mammalian cooperative breeders: A synthesis: Biological Reviews, v. 100, no. 1, p. 149-157, https://doi.org/10.1111/brv.13133.","productDescription":"9 p.","startPage":"149","endPage":"157","ipdsId":"IP-166733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13133","text":"Publisher Index Page"},{"id":485355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rebholz, Peter F.","contributorId":338402,"corporation":false,"usgs":false,"family":"Rebholz","given":"Peter","email":"","middleInitial":"F.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrillo, Lindsay","contributorId":354308,"corporation":false,"usgs":false,"family":"Petrillo","given":"Lindsay","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262445,"text":"70262445 - 2024 - Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox","interactions":[],"lastModifiedDate":"2025-01-17T16:24:57.018933","indexId":"70262445","displayToPublicDate":"2025-01-17T10:15:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox","docAbstract":"<div class=\"section\"><strong>Context</strong><p id=\"d6e188\">As conversion of natural areas to human development continues, there is a lack of information about how developed areas can sustainably support wildlife. While large predators are often extirpated from areas of human development, some medium-bodied mammalian predators (hereafter, mesocarnivores) have adapted to co-exist in human-dominated areas.</p></div><div class=\"section\"><strong>Aims</strong><p id=\"d6e193\">How human-dominated areas such as residential yards are used by mesocarnivores is not well understood. Our study aimed to identify yard and landscape features that influence occupancy, relative abundance and spatial-temporal overlap of three widespread mesocarnivores, namely, coyote (<i>Canis latrans</i>), grey fox (<i>Urocyon cineroargenteus</i>) and red fox (<i>Vulpes vulpes</i>).</p></div><div class=\"section\"><strong>Methods</strong><p id=\"d6e207\">Over the summers of 2021 and 2022, we deployed camera-traps in 46 and 96 residential yards, spanning from low-density rural areas (&lt;1 home per km<sup>2</sup>) to more urban areas (589 homes per km<sup>2</sup>) in north-western Arkansas, USA.</p></div><div class=\"section\"><strong>Key results</strong><p id=\"d6e218\">We found that mesocarnivore occupancy was marginally influenced by yard-level features as opposed to landscape composition. Fences reduced the occupancy probability of coyotes, although they were positively associated with the total area of potential shelter sites in a yard. We found that relative abundance of grey fox was highest in yards with poultry, highlighting a likely source of conflict with homeowners. We found that all three species were primarily nocturnal and activity overlap between the species pairs was high.</p></div><div class=\"section\"><strong>Conclusions</strong><p id=\"d6e223\">Thus, these species may be using spatio-temporal partitioning to avoid antagonistic encounters and our data supported this, with few examples of species occurring in the same yards during the same 24-h period.</p></div><div class=\"section\"><strong>Implications</strong><p id=\"d6e228\">As the number of residential yards continues to grow, our results suggested that there are ways in which our yards can provide resources to mesocarnivores and that homeowners also have agency to mitigate overlap with mesocarnivores through management of their yard features.</p></div>","language":"English","publisher":"CSIRO","doi":"10.1071/wr23065","usgsCitation":"Johansson, E., and DeGregorio, B.A., 2024, Mesocarnivores in residential yards: Influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox: Wildlife Research, v. 51, WR23065, 14 p., https://doi.org/10.1071/wr23065.","productDescription":"WR23065, 14 p.","ipdsId":"IP-154255","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr23065","text":"Publisher Index Page"},{"id":480744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","city":"Fayetteville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.65765608378254,\n              36.580854422910804\n            ],\n            [\n              -94.61552908234441,\n              36.576255277310395\n            ],\n            [\n              -94.5105609362743,\n              35.87030188707996\n            ],\n            [\n              -93.65209952694099,\n              35.95557154621861\n            ],\n            [\n              -93.65765608378254,\n              36.580854422910804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2024-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Johansson, Emily P.","contributorId":349332,"corporation":false,"usgs":false,"family":"Johansson","given":"Emily P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262524,"text":"70262524 - 2024 - Groundwater/surface-water interaction","interactions":[],"lastModifiedDate":"2025-01-22T16:50:42.818223","indexId":"70262524","displayToPublicDate":"2025-01-10T10:44:12","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"chapter":"2","title":"Groundwater/surface-water interaction","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Groundwater science relevant to the Great Lakes Water Quality Agreement: An updated status report","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"U.S. Environmental Protection Agency and Environment and Climate Change Canada","usgsCitation":"Reeves, H.W., Danielescu, S., Priebe, E., and Zhang, H., 2024, Groundwater/surface-water interaction, 15 p.","productDescription":"15 p.","startPage":"9","endPage":"23","ipdsId":"IP-167804","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":480779,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://binational.net/2025/01/10/groundwater-science-updated-status-report/"},{"id":480933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielescu, Serban","contributorId":349778,"corporation":false,"usgs":false,"family":"Danielescu","given":"Serban","affiliations":[],"preferred":false,"id":924784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Priebe, Elizabeth","contributorId":349779,"corporation":false,"usgs":false,"family":"Priebe","given":"Elizabeth","affiliations":[],"preferred":false,"id":924785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Helen","contributorId":295491,"corporation":false,"usgs":false,"family":"Zhang","given":"Helen","email":"","affiliations":[{"id":63895,"text":"Ontario Ministry of the Environment","active":true,"usgs":false}],"preferred":false,"id":924786,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262206,"text":"70262206 - 2024 - Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds","interactions":[],"lastModifiedDate":"2025-01-15T15:04:12.077019","indexId":"70262206","displayToPublicDate":"2025-01-06T09:01:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds","docAbstract":"<p><span>Floating photovoltaic (FPV) solar energy offers promise for renewable electricity production that spares land for other societal benefits. FPV deployment may alter greenhouse gas (GHG) production and emissions from waterbodies by changing physical, chemical, and biological processes, which can have implications for the carbon cost of energy production with FPV. Here, we use an ecosystem-scale experiment to assess how GHG dynamics in ponds respond to installation of operationally representative FPV. Following FPV deployments of 70% array coverage, daily whole-pond GHG emissions increased by 26.8% on a carbon dioxide-equivalent (CO</span><sub>2</sub><span>-eq) basis, and dissolved oxygen availability rapidly decreased. Despite increased emissions following FPV deployment, FPV-derived GHG emissions from waterbodies are likely lower than landscape GHG emissions associated with terrestrial solar and hydropower production on a CO</span><sub>2</sub><span>-eq kWh</span><sup>–1</sup><span>&nbsp;basis. Adaptive management strategies like bubbler installation may reduce the magnitude of FPV impacts on GHG and dissolved oxygen dynamics.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c06363","usgsCitation":"Ray, N.E., Holgerson, M., and Grodsky, S.M., 2024, Immediate effect of floating solar energy deployment on greenhouse gas dynamics in ponds: Environmental Science and Technology, v. 58, no. 50, p. 22104-22113, https://doi.org/10.1021/acs.est.4c06363.","productDescription":"10 p.","startPage":"22104","endPage":"22113","ipdsId":"IP-165832","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466694,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1021/acs.est.4c06363","text":"External Repository"},{"id":466411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"50","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Nicholas E.","contributorId":333311,"corporation":false,"usgs":false,"family":"Ray","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":923502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holgerson, Meredith A.","contributorId":348513,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260994,"text":"70260994 - 2024 - Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations","interactions":[],"lastModifiedDate":"2024-11-20T15:34:27.919637","indexId":"70260994","displayToPublicDate":"2025-01-01T08:25:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations","docAbstract":"The coastal zone is a dynamic region that can change rapidly and significantly with respect to the morphology of the beach and incoming wave conditions. Runup forecasts may be improved by adapting a dynamic approach that allows for different runup models to be implemented in response to changes in beach state. Accurately forecasting wave runup is critical to characterize exposure to coastal hazards and provide an early warning against potential erosion and inundation. Here, we developed a decision tree model to produce a weighted ensemble of existing runup models to predict 1.25 years of runup at Duck, North Carolina, USA. We then applied the calibrated decision tree model to reproduce observed runup during the DUNEX experiment in Pea Island, North Carolina, USA. We found that the decision tree approach yielded a prediction that was comparable or greater in accuracy (i.e. higher r2, lower RMSE) than the individual runup models. We also interrogated the decision tree predictions to determine how the individual models perform relative to each other and why certain models perform better than others under the same observed wave and beach conditions. We found that the decision tree approach drew on the processes represented in the individual models in the ensemble to produce a forecast that is accurate and explainable without relying on prior knowledge of the study site(s) or requiring manual adjustments beyond the initial model training.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2024.104641","usgsCitation":"Itzkin, M., Palmsten, M.L., Buckley, M.L., Birchler, J.J., and Torres-Garcia, L.M., 2024, Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations: Coastal Engineering, v. 195, 104641, 13 p., https://doi.org/10.1016/j.coastaleng.2024.104641.","productDescription":"104641, 13 p.","ipdsId":"IP-156552","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2024.104641","text":"Publisher Index Page"},{"id":464342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.76606524647661,\n              36.204406383193415\n            ],\n            [\n              -75.76606524647661,\n              36.151059222902816\n            ],\n            [\n              -75.73552468770632,\n              36.151059222902816\n            ],\n            [\n              -75.73552468770632,\n              36.204406383193415\n            ],\n            [\n              -75.76606524647661,\n              36.204406383193415\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"195","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Itzkin, Michael 0000-0003-0693-0607","orcid":"https://orcid.org/0000-0003-0693-0607","contributorId":291846,"corporation":false,"usgs":true,"family":"Itzkin","given":"Michael","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birchler, Justin J. 0000-0002-0379-2192 jbirchler@usgs.gov","orcid":"https://orcid.org/0000-0002-0379-2192","contributorId":169117,"corporation":false,"usgs":true,"family":"Birchler","given":"Justin","email":"jbirchler@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":918822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261333,"text":"70261333 - 2024 - Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis","interactions":[],"lastModifiedDate":"2024-12-06T15:15:40.076596","indexId":"70261333","displayToPublicDate":"2025-01-01T08:10:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis","docAbstract":"<p>The increasing threat of post-wildfire hazards creates an imperative for improved post-wildfire flooding and debris flow prediction capabilities. Because rainfall is a primary driver of predictive hydrology and debris flow initiation and inundation models, recent efforts have emphasized the need for interdisciplinary collaboration between meteorology and post-wildfire hazard science that develops more accurate rainfall estimates with longer lead times. In this work, we identified critical knowledge gaps for developing rainfall estimates and filled those gaps by reviewing recent literature and synthesizing pre-existing datasets. Gap areas were organized into the following general topics: a) rainfall intensity-duration-frequency relations, b) time-varying rainfall, c) spatially varying rainfall, and d) rainfall regimes. </p><p>Recent key research advances include the increasing availability of gridded quantitative rainfall estimates, the expanded use of distributed hydrologic and erosion models that incorporate spatial and temporal variability in rainfall, and the linking of concepts and modeling from the atmospheric and climate sciences with post-wildfire hazard science. We prototype a rainfall regime regionalization schema that captures self-similar properties of rainfall intensity (<i>k</i>, the maximum rainfall intensity) and temporal scaling (<i>n</i>, the decay rate). Our <i>k</i>-<i>n</i> relations schema could serve as a framework for organizing, interpreting, and predicting post-wildfire hydrologic and erosional responses. Finally, we summarize salient gaps for implementing spatiotemporally varying rainfall as the driver of post-wildfire hydrologic models designed to improve the prediction of flooding and debris flow hazards to the built environment for emergency managers.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2024.104990","usgsCitation":"Collar, N.M., Moody, J.A., and Ebel, B., 2024, Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis: Earth-Science Reviews, v. 260, 104990, 32 p., https://doi.org/10.1016/j.earscirev.2024.104990.","productDescription":"104990, 32 p.","ipdsId":"IP-164156","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":464885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collar, Natalie M. 0000-0003-4711-0090","orcid":"https://orcid.org/0000-0003-4711-0090","contributorId":306155,"corporation":false,"usgs":false,"family":"Collar","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":66376,"text":"Colorado School of Mines, Department of Civil and Environmental Engineering","active":true,"usgs":false}],"preferred":false,"id":920406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":920407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":920408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261548,"text":"70261548 - 2024 - Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales","interactions":[],"lastModifiedDate":"2024-12-13T15:13:03.033614","indexId":"70261548","displayToPublicDate":"2025-01-01T07:58:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales","docAbstract":"Decision makers are often confronted with inadequate information to predict nutrient loads and yields in freshwater ecosystems at large spatial scales. We evaluate the potential of using data mapped at large spatial scales (regional to global) and often coarse resolution to predict nitrogen yields at varying smaller scales (e.g., at the catchment and stream reach level). We applied the SPAtially Referenced Regression On Watershed attributes (SPARROW) model in three regions: the Upper Midwest part of the United States, New Zealand, and the Grande River Basin in southeastern Brazil. For each region, we compared predictions of nitrogen delivery between models developed using novel large-scale datasets and those developed using local-scale datasets. Large-scale models tended to underperform the local-scale models in poorly monitored areas. Despite this, large-scale models are well suited to generate hypotheses about relative effects of different nutrient source categories (point and urban, agricultural, native vegetation) and to identify knowledge gaps across spatial scales when data are scarce. Regardless of the spatial resolution of the predictors used in the models, a representative network of water quality monitoring stations is key to improve the performance of large-scale models used to estimate loads and yields. We discuss avenues of research to understand how this large-scale modelling approach can improve decision making for managing catchments at local scales, particularly in data poor regions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2024.122520","usgsCitation":"Suarez-Castro, A.F., Robertson, D., Lehner, B., de Souza, M.L., Kittridge, M., Saad, D., Linke, S., McDowell, R.W., Ranjbar, M.H., Ausseil, O., and Hamilton, D.P., 2024, Evaluating the suitability of large-scale datasets to estimate nitrogen loads and yields across different spatial scales: Water Research, v. 268, no. Part A, 122520, 11 p., https://doi.org/10.1016/j.watres.2024.122520.","productDescription":"122520, 11 p.","ipdsId":"IP-164752","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2024.122520","text":"Publisher Index Page"},{"id":465110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, New Zealand, United 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0000-0002-9341-8777","orcid":"https://orcid.org/0000-0002-9341-8777","contributorId":347163,"corporation":false,"usgs":false,"family":"Hamilton","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":83086,"text":"Griffith University, Brisbane, Australia","active":true,"usgs":false}],"preferred":false,"id":920994,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70261890,"text":"sir20245126 - 2024 - Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska","interactions":[],"lastModifiedDate":"2025-07-10T15:28:29.176134","indexId":"sir20245126","displayToPublicDate":"2024-12-31T15:00:00","publicationYear":"2024","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":"2024-5126","displayTitle":"Simulating Present and Future Groundwater/Surface-Water Interactions and Stream Temperatures in Beaver Creek, Kenai Peninsula, Alaska","title":"Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska","docAbstract":"<p>In many places, coldwater ecosystems are facing increasing pressure from anthropogenic warming. This study examined stream temperatures and the water balance in the Beaver Creek watershed on the Kenai Peninsula in south-central Alaska—an area that is experiencing rapid warming. Low-gradient streams near the Kenai coast provide important spawning and rearing habitat for salmon but may be especially vulnerable to rising temperatures, because of long residence times, inflows from abundant riparian wetlands, and reliance on groundwater discharge that may also warm, or decrease in volume with rising evapotranspiration. In recent decades, observed maximum 7-day temperatures have consistently exceeded statistical (regression-based) projections. Here we simulate total streamflows and temperatures with a physics-based model that links the Soil Water Balance, MODFLOW 6 and SNTEMP simulation codes on a 7-day timestep. The model is based on existing data and groundwater levels, instream flows, and stream temperatures collected during 2019–23. Future climate scenarios were developed for 2023–50 from downscaled climate projections.</p><p>Results indicate that groundwater discharge is about 64 percent of the total streamflow during the months of May through September. Total streamflow and groundwater discharge are expected to remain similar to current conditions through 2050. Stream temperatures are expected to rise; by midcentury, near the Beaver Creek mouth the model predicts 34 to 63 additional days per year with average weekly temperatures above 13 degrees Celsius, 14 to 81 additional days with average weekly temperatures above 15 degrees Celsius, and routine exceedances of 20 degrees Celsius during the warmest periods. Projected stream temperatures vary spatially. Areas of high groundwater inflows in the lower main stem and some tributaries may be most resilient to warming air temperatures during dry conditions. During storm events, groundwater-dominated tributaries may have the coolest stream temperatures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245126","usgsCitation":"Leaf, A.T., Haserodt, M.J., Meyer, B.E., Westenbroek, S.M., and Koch, J.C., 2024, Simulating present and future groundwater/surface-water interactions and stream temperatures in Beaver Creek, Kenai Peninsula, Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5126, 111 p., https://doi.org/10.3133/sir20245126.","productDescription":"Report: ix, 111 p.; 2 Data Releases; Dataset","numberOfPages":"126","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167012","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":465606,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.XML"},{"id":465583,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UAWGB","text":"USGS data release","linkHelpText":"Surface water and groundwater hydrology and temperature, Beaver Creek, Kenai Peninsula, Alaska, 2022–2023"},{"id":465585,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://www.usgs.gov/national-hydrography/access-national-hydrography-products","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":465584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"http://doi.org/10.5066/P9K30VAP","text":"USGS data release","linkHelpText":"Soil water balance, groundwater flow, and stream temperature models for Beaver Creek, Alaska, 2019 to 2050"},{"id":492014,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118271.htm","linkFileType":{"id":5,"text":"html"}},{"id":465607,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5126/images/"},{"id":465605,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245126/full"},{"id":465582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5126/sir20245126.pdf","text":"Report","size":"34.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5126"},{"id":465581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5126/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaver Creek, Kenai Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.3330540056542,\n              60.957367731319806\n            ],\n            [\n              -152.38912986860709,\n              59.25155522317334\n            ],\n            [\n              -148.50867874659667,\n              59.25563148250791\n            ],\n            [\n              -148.50867874659667,\n              60.95766646209441\n            ],\n            [\n              -152.3330540056542,\n              60.957367731319806\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>8505 Research Way<br>Middleton, WI 53562</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Site Description and Hydrologic Setting</li><li>Field Data Collection</li><li>Groundwater Flow and Soil-Water-Balance Models </li><li>Stream Temperature Model </li><li>Parameter Estimation</li><li>Model Scenarios</li><li>Results and Discussion</li><li>Assumptions and Limitations</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Glacial Geologic History of the Beaver Creek Basin and Interpretation into Model Layers</li><li>Appendix 2. GFLOW Model</li><li>Appendix 3&nbsp; Soil-Water-Balance Model </li><li>Appendix 4. MODFLOW 6 Model Construction</li><li>Appendix 5. Stream Network Temperature Model Construction </li><li>Appendix 6. Parameter Estimation and Uncertainty Analysis</li><li>Appendix 7. Future Climate Scenarios</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-12-31","noUsgsAuthors":false,"publicationDate":"2024-12-31","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":922165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haserodt, Megan J. 0000-0002-8304-090X mhaserodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-090X","contributorId":174791,"corporation":false,"usgs":true,"family":"Haserodt","given":"Megan","email":"mhaserodt@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Benjamin E. 0000-0002-2751-5958","orcid":"https://orcid.org/0000-0002-2751-5958","contributorId":347680,"corporation":false,"usgs":false,"family":"Meyer","given":"Benjamin E.","affiliations":[{"id":82698,"text":"Kenai Watershed Forum","active":true,"usgs":false}],"preferred":false,"id":922167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen, M. 0000-0002-6284-8643","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":206429,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen, M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":922169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270899,"text":"70270899 - 2024 - Wolf harvest management strategy evaluation: Annual Report, 2024","interactions":[],"lastModifiedDate":"2025-08-27T14:40:59.127642","indexId":"70270899","displayToPublicDate":"2024-12-31T09:33:47","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Wolf harvest management strategy evaluation: Annual Report, 2024","docAbstract":"<p>Wolf harvest season setting is complicated and controversial. State law requires Montana Fish, Wildlife and Parks (MFWP) to both reduce the wolf population and avoid federal relisting under the Endangered Species Act (Montana Fish, Wildlife and Parks, 2002). Disparate stakeholder groups each have different objectives for wolf management. For instance, big game advocates want to see improved big game populations and hunting opportunities in northwest Montana, while wolf advocates want to see regulations that minimize wolf mortality. Decision making about season setting tries to balance these objectives. Wolf hunting and trapping season decisions are made by the Montana Fish and Wildlife Commission and are informed by annual wolf abundance estimates from an integrated patch occupancy model (iPOM, Sells et al., 2022c) as well as the predictions of wolf abundance into the future under potential constant harvest levels. Parametric uncertainty (uncertainty surrounding the value of a parameter) from the iPOM estimates is propagated through to future projections, providing the Commission with plausible and worst-case outcomes of different levels of public harvest over the short term, i.e., five years into the future, on the wolf population in Montana (Parks et al., 2024).</p><p>An alternative approach to inform wolf management and harvest decisions is through adaptive management. Adaptative management is appropriate for decisions that are made iteratively and when monitoring data are collected to learn about the outcomes from decisions, where monitoring data help to reduce critical uncertainties regarding ecosystem function or management outcomes (Walters, 1986; Williams, 2011). Management strategy evaluation (MSE) is one way to develop an adaptive management framework. MSE was developed by fisheries managers and scientists to more accurately and fully incorporate various forms of uncertainty, consider long-term time horizons, and add more transparency in a fisheries context (Punt et al., 2016). It has been used routinely and has become a standard approach for complicated and contentious marine fisheries management situations, yet it has been underutilized in wildlife management (but see Bunnefeld et al., 2013, 2011). </p><p>MSE is a forward simulation approach for testing prospective management options or strategies over a wide range of possible states (Punt et al., 2016). A MSE framework captures the ‘truth’ or what is happening in the system (termed the ‘the operating model’) and the information available to the decision makers (termed ‘the estimation model’ or ‘management strategy’). More precisely, there are four main processes modeled. First, models are constructed based on current understanding and data to represent ‘truth’. Second, the collection of monitoring data is simulated from the ‘truth’ model. Third, the simulated monitoring data are fit to an estimation model and the next time step’s population metrics are predicted from the estimated parameters. Fourth, based on the estimation model results and the predictions, the decision-making process is simulated following a management strategy, whereby a decision is made and the implementation of this decision feeds back into the ‘truth’ model (Figure 1). This process continues through time. Additionally, each simulation through time is repeated to capture the full range of stochasticity and uncertainty. </p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Montana Fish, Wildlife and Parks","usgsCitation":"Sipe, H., Sells, S.N., Gude, J., Podruzny, K.M., and Parks, M., 2024, Wolf harvest management strategy evaluation: Annual Report, 2024, 22 p.","productDescription":"22 p.","ipdsId":"IP-174234","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494943,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fwp.mt.gov/conservation/wildlife-management/wolf","linkFileType":{"id":5,"text":"html"}}],"country":"United 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M.","contributorId":85865,"corporation":false,"usgs":true,"family":"Podruzny","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":947331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parks, Molly","contributorId":360631,"corporation":false,"usgs":false,"family":"Parks","given":"Molly","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":947332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272772,"text":"70272772 - 2024 - Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry","interactions":[],"lastModifiedDate":"2025-12-08T16:19:12.893213","indexId":"70272772","displayToPublicDate":"2024-12-31T09:15:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Patterns of phytochemistry localisation in plant tissues are diverse within and across leaves. These spatial heterogeneities are important to the fitness of herbivores, but their effects on herbivore foraging and dietary experience remain elusive. We manipulated the spatial variance and clusteredness of a plant toxin in a synthetic diet landscape on which individual caterpillars fed. We monitored caterpillars with cameras across most of their larval development. Caterpillars that fed on diets with a lower spatial variance and more clustered arrangement of toxins had overall worse performance, mostly because those caterpillars ate less, moved more, ingested more toxin, or failed to physiologically acclimate. Using empirically parameterised individual-based models, we found that differences in movement away from, not towards, less toxic food drove a body size-dependent effect of clusteredness. Hence, the spatial pattern of phytochemicals itself, beyond mean concentration, can have important consequences for herbivores through complex interactions with herbivore foraging.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70044","usgsCitation":"Pan, V.S., Ghosh, E., Ode, P.J., Wetzel, W.C., Gilbert, K.J., and Pearse, I.S., 2024, Large differences in herbivore performance emerge from simple herbivore behaviors and fine-scale spatial heterogeneity in phytochemistry: Ecology Letters, v. 28, no. 1, e70044, 12 p., https://doi.org/10.1111/ele.70044.","productDescription":"e70044, 12 p.","ipdsId":"IP-171430","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497402,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70044","text":"Publisher Index Page"},{"id":497197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pan, Vincent S. 0000-0001-9892-7805","orcid":"https://orcid.org/0000-0001-9892-7805","contributorId":332717,"corporation":false,"usgs":false,"family":"Pan","given":"Vincent","middleInitial":"S.","affiliations":[{"id":79600,"text":"Department of Integrative Biology, Michigan State University, 288 Farm Lane, East Lansing, Michigan, USA 48824","active":true,"usgs":false}],"preferred":false,"id":951695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghosh, Enakshi","contributorId":363457,"corporation":false,"usgs":false,"family":"Ghosh","given":"Enakshi","affiliations":[{"id":80402,"text":"Colorado State U","active":true,"usgs":false}],"preferred":false,"id":951696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ode, Paul J.","contributorId":197314,"corporation":false,"usgs":false,"family":"Ode","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":951697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetzel, William C.","contributorId":229437,"corporation":false,"usgs":false,"family":"Wetzel","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":41642,"text":"Michigan State U","active":true,"usgs":false}],"preferred":false,"id":951698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilbert, Kadeem J.","contributorId":342370,"corporation":false,"usgs":false,"family":"Gilbert","given":"Kadeem","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":951699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951700,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270667,"text":"70270667 - 2024 - Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish","interactions":[],"lastModifiedDate":"2025-08-22T14:14:43.752446","indexId":"70270667","displayToPublicDate":"2024-12-31T09:05:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-164-2024","displayTitle":"Environmental DNA reveals invasion of Puerto Rican waterways by non-native <i>Clarias</i> catfish","title":"Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish","docAbstract":"<p><span>The Sharptooth walking catfish (<i>Clarias gariepinus</i>) is native to parts of the Middle East, Asia, and Africa but is one of the world's most invasive freshwater fish species. The species’ ability to invade is partly due to its ability to breathe atmospheric oxygen, thereby avoiding hypoxia or poor water quality in receiving waterbodies; further, it can crawl over moist land to disperse to new systems. In 2018, two individuals purported to be Sharptooth walking catfish were collected and identified within the Canal de Patillas, a canal in the Guayama municipality in southeastern Puerto Rico. Several other specimens were also collected the following year. Given that this invasion was in its infancy, environmental DNA (eDNA) surveillance was employed as a rapid and efficient surveillance tool to help delineate the extent of this invasion. Water samples were collected and analyzed for <i>Clarias</i> eDNA from 66 sites encompassing a wide range of habitats in canals, lakes, and a river surrounding the area where they were first reported. Using eDNA-metabarcoding, we detected <i>Clarias</i> eDNA at 40 of the 63 sites throughout the sampled waterbodies. Furthermore, our molecular analysis indicated that the Whitespotted Clarias (<i>C. fuscus</i>) is the likely invader, and the original specimens, classified as <i>C. gariepinus</i>, were misidentified based on the use of morphological rather than genetic features for species classification. Environmental DNA surveillance indicated that the distribution of <i>Clarias</i> catfish in this system is substantially more extensive than previously documented. These findings suggest that additional survey efforts could help determine the invasion's full spatial extent and leading edge to inform the scope and scale of any potential management responses.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css20629765","usgsCitation":"Paine, R.T., Rogers, M.W., and Rosenberger, A.E., 2024, Environmental DNA reveals invasion of Puerto Rican waterways by non-native Clarias catfish: Cooperator Science Series CSS-164-2024, ii, 27 p., https://doi.org/10.3996/css20629765.","productDescription":"ii, 27 p.","ipdsId":"IP-173700","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266181,"text":"70266181 - 2024 - Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California","interactions":[],"lastModifiedDate":"2025-04-29T14:07:48.72537","indexId":"70266181","displayToPublicDate":"2024-12-31T09:03:52","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California","docAbstract":"Mammoth Lakes, California hosts a productive hydrothermal system within the seismically active south moat of Long Valley Caldera. Surficial evidence of the shallow hydrothermal system includes discrete zones of tree-kill dispersed between Shady Rest Park and the Casa Diablo Geothermal Power Plant (40 MW), as well as east of the power plant. The tree-kill areas are associated with elevated diffuse CO₂ emissions, heated ground, hydrothermal alteration, diffuse soil H₂S emissions, and gas vents. Previous mapping delineates prominent north and northwest trending structures within the south moat along the southwestern edge of the resurgent dome that may accommodate gas and fluid flow at the Shady Rest Park and Basalt Canyon Tree Kill Areas (SRTKA and BCTKA, respectively). Both tree-kill areas are also located along contacts between resurgent rhyolite, mafic lavas, and surficial deposits which may provide additional pathways for gas and fluid migration in the shallow subsurface.\nCharacterizing structure and lithology using geophysical anomalies is critical to determining primary structural controls on the hydrothermal system and the extent of subsurface alteration at these sites. We conducted ground and airborne-based potential field geophysical surveys to map gravity and magnetic anomalies. These anomalies are then used to model subsurface geology, structure, and hydrothermal alteration. Here we present our preliminary geophysical mapping and modelling results at both tree-kill locations. Gravity and magnetic data suggest complex structural intersections are coincident with heated ground and gas emissions at the SRTKA and BCTKA. Hydrothermal systems are often observed or interpreted to exploit fault intersections which can serve as highly permeable pathways for hydrothermal fluid and gas discharge, enabling economic geothermal energy production. Geophysical mapping and modelling are an effective means of investigating such structural complexity at Mammoth Lakes due to the presence of unidentified and concealed structures.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to Save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising Conference (GRC)","usgsCitation":"Anderson, J.E., Glen, J.M., Bouligand, C., Rea-Downing, G.H., and Earney, T.E., 2024, Preliminary ground and airborne-based geophysical mapping and modelling of an active hydrothermal system at Mammoth Lakes, California, <i>in</i> Using the Earth to Save the Earth, v. 48, p. 1613-1639.","productDescription":"17 p.","startPage":"1613","endPage":"1639","ipdsId":"IP-169794","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":485127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":485121,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035013"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Lakes","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Jacob Elliott 0000-0002-0709-2548","orcid":"https://orcid.org/0000-0002-0709-2548","contributorId":329989,"corporation":false,"usgs":true,"family":"Anderson","given":"Jacob","email":"","middleInitial":"Elliott","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouligand, Claire 0000-0002-2923-1780","orcid":"https://orcid.org/0000-0002-2923-1780","contributorId":345142,"corporation":false,"usgs":false,"family":"Bouligand","given":"Claire","email":"","affiliations":[{"id":82499,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc","active":true,"usgs":false}],"preferred":false,"id":934810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rea-Downing, Grant Harold 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333087,"corporation":false,"usgs":true,"family":"Rea-Downing","given":"Grant","email":"","middleInitial":"Harold","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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