Solar energy development is increasing in warm deserts of the southwestern United States, and ecovoltaics has emerged as an approach to maintain ecosystem function within solar facilities while meeting increasing regional energy demands. The Solar Gemini Project, located in the northeastern Mojave Desert, USA, is one of largest photovoltaic facilities incorporating an ecovoltaics approach, including novel installation practices to reduce disturbance to soil and vegetation and solar tracking bifacial photovoltaic panels to maximize energy generation. To further understand the influence of the facility on environmental conditions, we compared microclimate, temperature, and soil moisture in bare soil interspaces between panel arrays inside the facility to undisturbed desert in nearby areas outside the facility from June 2023–February 2025. Our comparisons included different seasons (summer versus winter), soil depth (shallow versus deep), and facility operation (inactive versus active panels with solar-tracking). We found lower solar radiation, wind speed, and evaporative demand inside the facility compared to outside the facility, with greater differences when panels were actively tracking. When panels were active, air temperature inside and outside the facility was similar on average, but was higher inside the facility during the day and lower at night. Soil surface temperature was lower inside the facility due to panel shading in the morning and evening, whereas soil temperature (0–15 cm) was consistently higher inside the facility. Soil moisture was higher inside the facility and did not drop to the low levels observed outside the facility. In total, we found lower evaporative demand, less heat loading, and higher soil moisture inside the Gemini facility, potentially benefitting flora and fauna in the harsh desert landscape. Yet, we also found daytime increases in air and soil surface temperature inside the facility, and persistent increases to soil temperature. These findings highlight the potentially positive and negative environmental changes associated with ecovoltaics solar energy development in warm deserts and provide evidence that can inform the optimization of solar photovoltaics design and management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.128436","usgsCitation":"Pinos, J., Munson, S.M., Karban, C.C., and Petrie, M.D., 2026, Ecovoltaic solar energy development effects to microclimate, temperature, and soil moisture in panel array interspaces in a warm desert: Journal of Environmental Management, v. 398, 128436, 13 p., https://doi.org/10.1016/j.jenvman.2025.128436.","productDescription":"128436, 13 p.","ipdsId":"IP-180614","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Gemini Solar Project facilty","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.80278104138198,\n 36.49946370519997\n ],\n [\n -114.80278104138198,\n 36.399575927541804\n ],\n [\n -114.71715812361246,\n 36.399575927541804\n ],\n [\n -114.71715812361246,\n 36.49946370519997\n ],\n [\n -114.80278104138198,\n 36.49946370519997\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"398","noUsgsAuthors":false,"publicationDate":"2025-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Pinos, Juan","contributorId":357729,"corporation":false,"usgs":false,"family":"Pinos","given":"Juan","affiliations":[{"id":85544,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada 89154, USA","active":true,"usgs":false}],"preferred":false,"id":953429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrie, Matthew D.","contributorId":364911,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew","middleInitial":"D.","affiliations":[{"id":87009,"text":"School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA","active":true,"usgs":false}],"preferred":false,"id":953432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274529,"text":"70274529 - 2026 - Using a BACI design to assess stream ecology and chemistry response after wildfire","interactions":[],"lastModifiedDate":"2026-03-31T20:35:52.784577","indexId":"70274529","displayToPublicDate":"2025-12-23T15:33:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Using a BACI design to assess stream ecology and chemistry response after wildfire","docAbstract":"Wildfires can have complex effects on aquatic communities, which can be either beneficial or adverse depending on the setting. In California, USA, the size, frequency, and severity of wildfires has greatly increased over the last few decades. Understanding the effects of fire on aquatic ecosystem health and human land use has become increasingly important in managing the interface of the natural and urban landscape. In this study, we used a before–after control–impact (BACI) study design to test for differences in bed sediment chemistry, water chemistry, benthic algal biomass, and benthic macroinvertebrate communities between burned and unburned (control) watersheds, pre- and post-fire, using data collected before and after California’s 2017 Atlas, Nuns, and Tubbs wildfires. We found a treatment effect (burned vs control) on water chemistry, sediment trace-metal concentrations, algae, and community structure of benthic macroinvertebrates, but we found no evidence of an interaction between time period (pre- vs post-fire) and treatment. Both the difference in environmental factors between our control and burned sample sites and the proximity and degree of wildfire burn severity may have contributed to the results of this BACI study. Our results also highlight the importance of including control sites when assessing the effects of discrete disturbances, such as wildfire, to avoid spurious conclusions of disturbance effects that may be attributable to innate ecological variability.
","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/738617","usgsCitation":"Wulff, M.L., May, J.T., Huntsman, B., Waite, I.R., and Brown, L.M., 2026, Using a BACI design to assess stream ecology and chemistry response after wildfire: Freshwater Science, v. 45, no. 1, p. 1-17, https://doi.org/10.1086/738617.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-120766","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T.","contributorId":368915,"corporation":false,"usgs":false,"family":"May","given":"Jason","middleInitial":"T.","affiliations":[{"id":34135,"text":"USGS (deceased)","active":true,"usgs":false}],"preferred":false,"id":958090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Larry M.","contributorId":184044,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":958093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273344,"text":"70273344 - 2026 - Between a rock and a hard place: Experiences of the chronic wasting disease management community","interactions":[],"lastModifiedDate":"2026-04-20T15:48:42.019373","indexId":"70273344","displayToPublicDate":"2025-12-23T10:20:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23122,"text":"Journal of Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Between a rock and a hard place: Experiences of the chronic wasting disease management community","docAbstract":"Chronic wasting disease (CWD) is a widespread and incurable cervid disease. Despite continuing investments, the logistical challenges of CWD have required wildlife managers and researchers to navigate changing priorities with conflicting public perceptions. When overcoming difficult management problems, leveraging exploratory methods may identify previously unrecognized hypotheses. In this study, we interviewed wildlife managers and researchers to describe the diverse experiences of experts in the CWD management community. Our study asked about common management strategies used, challenges experienced, and attempted to understand how decision-making in CWD management is shaped and constrained. Our study participants experienced a wide range of constraining factors, primarily related to external influences. We also identified connections between these constraints and a common concern for staff and public burnout. The results of this study provide insight on constraints limiting CWD management success and possible explanations for some commonly recognized challenges resulting from social and ecological interactions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2025.2562402","usgsCitation":"Roan, P., Milley, B., and Cole, N.W., 2026, Between a rock and a hard place: Experiences of the chronic wasting disease management community: Journal of Society and Natural Resources, v. 39, no. 4, p. 557-576, https://doi.org/10.1080/08941920.2025.2562402.","productDescription":"20 p.","startPage":"557","endPage":"576","ipdsId":"IP-168553","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498385,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498474,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/08941920.2025.2562402","text":"Publisher Index Page"}],"volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Roan, Patrick 0009-0003-0873-5060","orcid":"https://orcid.org/0009-0003-0873-5060","contributorId":364899,"corporation":false,"usgs":false,"family":"Roan","given":"Patrick","affiliations":[{"id":87000,"text":"Contracted by the US Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milley, Brad","contributorId":364900,"corporation":false,"usgs":false,"family":"Milley","given":"Brad","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":953397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Nicholas W. 0000-0003-1204-971X","orcid":"https://orcid.org/0000-0003-1204-971X","contributorId":278636,"corporation":false,"usgs":true,"family":"Cole","given":"Nicholas","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273255,"text":"70273255 - 2026 - A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","interactions":[],"lastModifiedDate":"2025-12-29T15:17:40.106052","indexId":"70273255","displayToPublicDate":"2025-12-23T09:14:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","docAbstract":"Increasing levels of chloride in surface water are associated with detrimental effects on water quality, aquatic ecosystems, infrastructure, and human health. Numerous mass-balance studies have inferred watershed transport processes by interpreting chloride inputs and outputs, but few represent internal dynamics explicitly. We constructed a coupled water/chloride mass balance model to gain insights into storage, residence time, and transport processes in a 10-km2 urban watershed. The model, which operates over a 10-year period at a daily time scale, represents storage in a dynamic soil-moisture reservoir, quick-flow runoff from storm events, and slow-flow runoff that sustains streamflow in dry weather. The calibrated model accurately represented (a)the observed transition from a streamflow enrichment regime in cold months to a dilution regime in warmer months, (b) the observed tendency for late-summer concentrations to be higher after winters with heavy snowfall, and (c) a period-of-record downward trend in chloride concentration likely associated with a downward trend in annual snowfall. Estimated chloride inputs averaged 195 metric tons per year, while the average output was 270 metric tons per year. In contrast, estimated storage was only 107 metric tons. The estimated mean residence time in groundwater was 1.27 years. This short residence time indicates that efforts to reduce inputs will manifest as decreased concentrations in streamflow on a management-relevant time scale of several years. The coupled mass balance model yielded insights into internal watershed dynamics that would not be possible from simple input/output analysis; such models can be useful tools for gaining insight into small watershed hydrology and pollutant transport.
","language":"English","publisher":"MDPI","doi":"10.3390/w18010043","usgsCitation":"Chanat, J.G., and Custer, C.A., 2026, A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA: Water, v. 18, no. 1, 43, 25 p., https://doi.org/10.3390/w18010043.","productDescription":"43, 25 p.","ipdsId":"IP-184027","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":498300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18010043","text":"Publisher Index Page"},{"id":498099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christopher Allan 0000-0003-2072-1414","orcid":"https://orcid.org/0000-0003-2072-1414","contributorId":364564,"corporation":false,"usgs":true,"family":"Custer","given":"Christopher","middleInitial":"Allan","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273476,"text":"70273476 - 2026 - Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","interactions":[],"lastModifiedDate":"2026-01-20T15:30:26.944609","indexId":"70273476","displayToPublicDate":"2025-12-23T08:46:17","publicationYear":"2026","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":"Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","docAbstract":"Floating photovoltaics (floating solar panels; FPV) can reduce the negative impacts of solar energy development in terrestrial environments, but their effects on freshwater ecosystems remain poorly understood. We examined potential FPV interactions with avian biodiversity, using previously modeled technical potential of FPV in the northeastern United States. We developed a vulnerability index based on avian species’: (i) morphological traits, (ii) level of conservation concern, and (iii) habitat requirements. Using eBird participatory science data, we assessed the risk of FPV to 291 species of birds occurring at FPV-suitable waterbodies based on their vulnerability index and estimated relative abundance at each location. The greatest risk of FPVs to birds was associated with waterbodies near the Atlantic coast and Great Lakes, and most (80%) of these high-risk waterbodies were smaller waterbodies. Because the avian risk at FPV-suitable waterbodies was not correlated with estimated energy generation, reducing risk to birds might not require energy trade-offs. Moreover, avoiding FPV installations at waterbodies predicted to pose high risk to birds is likely to return social and recreational benefits while minimizing risk of biofouling. Our analysis provides a framework for proactively evaluating risk, reducing potential adverse impacts of FPV to birds, and identifying cobenefits of sustainable FPV siting across waterscapes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c09819","usgsCitation":"Binley, A.D., Gallaher, A., Rodewald, A.D., and Grodsky, S.M., 2026, Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs: Environmental Science and Technology, v. 60, no. 1, p. 510-621, https://doi.org/10.1021/acs.est.5c09819.","productDescription":"12 p.","startPage":"510","endPage":"621","ipdsId":"IP-181372","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498920,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c09819","text":"Publisher Index Page"},{"id":498737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, Washington DC, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.65501641197895,\n 44.74152548184259\n ],\n [\n -67.6968245772661,\n 45.73794783309825\n ],\n [\n -67.95270949892765,\n 47.379125614743884\n ],\n [\n -69.3915223409562,\n 47.4278826893804\n ],\n [\n -70.99089733033615,\n 45.39194803042125\n ],\n [\n -71.59816120202068,\n 45.0249102712188\n ],\n [\n -74.93724052894156,\n 44.993515254035685\n ],\n [\n -76.75034686370854,\n 43.91376278161334\n ],\n [\n -78.97980279465791,\n 43.429291703689586\n ],\n [\n -78.86279954021416,\n 42.897702704595986\n ],\n [\n -79.54055781839557,\n 42.48834669405045\n ],\n [\n -80.5152362296271,\n 42.22648847140036\n ],\n [\n -80.5372853679192,\n 40.61342359980179\n ],\n [\n -81.46839017947205,\n 39.28753079607813\n ],\n [\n -82.12840686018721,\n 39.08491548516051\n ],\n [\n -82.69161741334696,\n 38.02531835066708\n ],\n [\n -82.02995782117321,\n 37.54106137435666\n ],\n [\n -83.64361903153913,\n 36.60472689492755\n ],\n [\n -75.61198709812805,\n 36.516353887422284\n ],\n [\n -74.66765042081843,\n 38.89523397600536\n ],\n [\n -73.50324716106653,\n 40.2520538786232\n ],\n [\n -71.66037271059179,\n 41.01739604846372\n ],\n [\n -70.84438505823752,\n 41.23839424240364\n ],\n [\n -69.7808356241324,\n 41.14180012249446\n ],\n [\n -69.93670062740647,\n 42.203277879766915\n ],\n [\n -70.3951271076242,\n 42.825025843792105\n ],\n [\n -69.30407208470645,\n 43.759282507474296\n ],\n [\n -66.65501641197895,\n 44.74152548184259\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Binley, Allison D.","contributorId":365181,"corporation":false,"usgs":false,"family":"Binley","given":"Allison","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":953874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodewald, Amanda D.","contributorId":365183,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":953876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273463,"text":"70273463 - 2026 - The value of reducing uncertainties to support the management of a high‐elevation endemic salamander","interactions":[],"lastModifiedDate":"2026-01-15T15:11:14.770192","indexId":"70273463","displayToPublicDate":"2025-12-23T08:06:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The value of reducing uncertainties to support the management of a high‐elevation endemic salamander","docAbstract":"Many salamander populations are declining, and methods to determine how best to allocate limited resources to slow or reverse these declines could support land managers in their decision‐making processes. Multiple types of uncertainty may delay management decisions, including when (1) knowledge of a species' ecology is incomplete, (2) climate change effects on environmental covariates are uncertain, and (3) the efficacy of management alternatives is unknown. For management decisions, a value‐of‐information analysis can identify which uncertainties are critical to reduce in order to identify an optimal strategy from a set of possible management actions. If the same management action is optimal across the full range of uncertainties, then resources for research can be redirected toward active management. Using value‐of‐information analyses, we examine the effect of uncertainty on identifying optimal management to maximize the future expected occupancy of Plethodon shenandoah , a Federally Endangered high‐elevation endemic salamander that is threatened by climate change. Out of 11 management actions proposed by National Park Service managers, those that increase environmental moisture are expected to maximize occupancy, and we find that the selection of this action is robust to all the identified uncertainties. We show that, even in systems with multiple sources of large uncertainty, value of information analyses discriminate among investments in species management.
","language":"English","publisher":"CoLab","doi":"10.1002/ecs2.70434","usgsCitation":"Campbell Grant, E.H., Werba, J.A., Mummah, R.O., and Brand, A., 2026, The value of reducing uncertainties to support the management of a high‐elevation endemic salamander: Ecosphere, v. 16, no. 12, e70434, 10 p., https://doi.org/10.1002/ecs2.70434.","productDescription":"e70434, 10 p.","ipdsId":"IP-154029","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70434","text":"Publisher Index Page"},{"id":498651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 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A.","contributorId":365160,"corporation":false,"usgs":false,"family":"Werba","given":"Jo","middleInitial":"A.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":953820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mummah, Riley Olivia 0000-0002-4542-3483","orcid":"https://orcid.org/0000-0002-4542-3483","contributorId":342242,"corporation":false,"usgs":true,"family":"Mummah","given":"Riley","email":"","middleInitial":"Olivia","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":295466,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953822,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273277,"text":"70273277 - 2026 - Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","interactions":[],"lastModifiedDate":"2025-12-30T17:19:51.61749","indexId":"70273277","displayToPublicDate":"2025-12-22T11:14:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","title":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","docAbstract":"San Francisco Bay, California, typically has chlorophyll a (chl-a) concentrations below 10 µg L−1, despite nutrient loadings exceeding those in many estuaries with recurring harmful algal blooms (HABs). However, in August 2022 there was a Heterosigma akashiwo (raphidophyte) bloom with chl-a concentrations exceeding 450 µg L−1, resulting in widespread hypoxia and fish die-off. We used protist community (18S ribosomal ribonucleic acid gene metabarcoding) and environmental data collected 2–3 times per month from 2015–2023 to assess differences between 2022 and other years, and capture dynamics pre-, during, and post-bloom. The 2022 protist community clustered separately from other years in non-metric multidimensional scaling and hierarchical cluster analyses. A diatom bloom in June generated the highest median June chl-a concentration (15 µg L−1) recorded between 1977–2023 and drew down nutrients (nitrogen, silicate), leading to the establishment of a heterotrophic community in July with low dinoflagellate abundance (0.9% of protists versus 5.9% average in other years). The absence of dinoflagellates, potentially including H. akashiwo predators, plus suitable habitat (13–14 daylight hours, temperatures 17–21˚C, nitrate concentrations 17–24 µmol L−1, neap tides) likely provided opportunity for H. akashiwo to proliferate from 0.03% to 48% of protists between July 20 and August 25. As the bloom collapsed, the genus Gyrodinium (dinoflagellate predator of H. akashiwo) increased from 3.0% to 52% of protists between August 25 and August 31, likely exerting grazing pressure. Results show that antecedent protist community dynamics play important roles in shaping HABs, and interactions between biotic and abiotic factors govern the development of blooms.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01629-7","usgsCitation":"Nardelli, S.C., Bouma-Gregson, K., Senn, D., Killam, D., Chelsky, A., Kress, E.S., Richardson, E.T., Otten, T., Kraus, T.E., and Bergamaschi, B.A., 2026, Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California: Estuaries and Coasts, v. 49, 39, 21 p., https://doi.org/10.1007/s12237-025-01629-7.","productDescription":"39, 21 p.","ipdsId":"IP-176080","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01629-7","text":"Publisher Index Page"},{"id":498161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.64535245048378,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 38.189646145715784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nardelli, Schuyler Crain 0000-0001-7926-9018","orcid":"https://orcid.org/0000-0001-7926-9018","contributorId":364651,"corporation":false,"usgs":true,"family":"Nardelli","given":"Schuyler","middleInitial":"Crain","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senn, David 0000-0002-4869-3550","orcid":"https://orcid.org/0000-0002-4869-3550","contributorId":329401,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Killam, Daniel 0000-0001-7569-1828","orcid":"https://orcid.org/0000-0001-7569-1828","contributorId":364654,"corporation":false,"usgs":false,"family":"Killam","given":"Daniel","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chelsky, Ariella 0000-0002-4363-3401","orcid":"https://orcid.org/0000-0002-4363-3401","contributorId":364655,"corporation":false,"usgs":false,"family":"Chelsky","given":"Ariella","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kress, Erica S. 0000-0001-8204-6368 ekress@usgs.gov","orcid":"https://orcid.org/0000-0001-8204-6368","contributorId":4859,"corporation":false,"usgs":true,"family":"Kress","given":"Erica","email":"ekress@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":953008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Emily T. 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":304430,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Otten, Timothy","contributorId":173804,"corporation":false,"usgs":false,"family":"Otten","given":"Timothy","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":953010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraus, Tamara E. 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Illegally traded turtles may be intercepted by several different agencies with separate jurisdictions. When turtles are confiscated, uncertainties may make releasing them back to the wild difficult. We used tools from decision analysis to achieve the following three objectives: (1) map elements of the decision process and their relationships in the illegal turtle trade using conceptual models, (2) outline the linked decisions for turtle confiscation and repatriation using decision trees, and (3) evaluate the decision trees for two example scenarios, one with moderate uncertainty and one with high uncertainty. We used the wood turtle (Glyptemys insculpta) as a case study, which is a species of conservation concern in part due to illegal wildlife trafficking. We conducted 23 semi-structured interviews of decision makers in law enforcement, biologists, land managers, and zoo staff. Interviews revealed that decisions regarding the disposition of confiscated turtles are complicated by uncertainty in disease status and origin. Decision makers that handle confiscated turtles also recognize that their decisions are often made in sequence and dependent on the outcome of antecedent decisions. In evaluating our decision trees, we found that the optimal decisions for example scenarios were similar and insensitive to uncertainty. Future applications of the decision trees by decision makers would involve a decision analyst to parameterize and interpret the choices and consequences involved in working through these decision trees. Collectively, our work shows how the use of decision trees can help structure and evaluate risky decisions for repatriating confiscated wildlife.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70165","usgsCitation":"Smith, D., DiRenzo, G.V., Fleming, J.E., McEachran, M.C., and Campbell Grant, E.H., 2025, An analysis of the linked decisions in the confiscation of illegally traded turtles: Conservation Science and Practice, e70165, 12 p., https://doi.org/10.1111/csp2.70165.","productDescription":"e70165, 12 p.","ipdsId":"IP-166499","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498702,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70165","text":"Publisher Index Page"},{"id":498616,"rank":2,"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 -97.61952248598104,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 51.579179045299185\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Desireé","contributorId":365126,"corporation":false,"usgs":false,"family":"Smith","given":"Desireé","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V.","contributorId":365127,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEachran, Margaret C.","contributorId":365130,"corporation":false,"usgs":false,"family":"McEachran","given":"Margaret","middleInitial":"C.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273308,"text":"70273308 - 2026 - Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","interactions":[],"lastModifiedDate":"2026-01-06T14:49:27.601532","indexId":"70273308","displayToPublicDate":"2025-12-22T08:42:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","docAbstract":"Momentum is growing for the management of coral reefs as a strategy to reduce climate risks in tropical coastlines. Yet, quantification of the life-time costs, impacts, and benefits remains limited. This study provides one of the first rigorous, spatially explicit, regional-scale Benefit:Cost Analyses (BCA) for coral reef restoration and was designed to meet the BCA requirements of major hazard mitigation funding and programs. This study simulates coastal flooding using a hydrodynamic model under different scenarios representing current coral reef conditions, reef degradation, and reef restoration. These coastal flood maps are used to estimate socioeconomic damages, which are included in a BCA to assess cost-effectiveness and priority areas for coral reef conservation and restoration. The United States Virgin Islands is used as a case study given recent impacts from storms and their new policy that declares reefs as natural infrastructure. The results show that flood risk across the islands of Saint Croix, Saint John, and Saint Thomas is $51.4 million USD per year. Annually, coral reefs prevent flood damages to 481 people and $43.6 million USD of infrastructure, which represents 87 % of the flood risk. These results identify the communities that could receive the greatest benefits from coral conservation and restoration, which overlap significantly. Coral reef restoration is found to be a cost-effective strategy for flood mitigation although how reefs are restored matters. Hybrid coral reef restoration provides greater flood mitigation benefits than ecological restoration, but its cost-effectiveness is overall lower given its greater costs. Many coastal areas have benefit:cost ratios exceeding 1.5, which complies with typical government agencies’ requirements for accessing hazard mitigation funds. This valuation framework helps provide rigorous regional-scale quantification of nature-based coastal protection solutions for coastal risk management decisions.
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A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience: Journal of Environmental Management, v. 397, 128166, 15 p., https://doi.org/10.1016/j.jenvman.2025.128166.","productDescription":"128166, 15 p.","ipdsId":"IP-170993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.65441321858593,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.38265061411741\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.91799534519654,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.811855495330647\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":953291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaido-Lassare, Camila","contributorId":364839,"corporation":false,"usgs":false,"family":"Gaido-Lassare","given":"Camila","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":953292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNulty, Valerie","contributorId":341998,"corporation":false,"usgs":false,"family":"McNulty","given":"Valerie","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Denise","contributorId":341897,"corporation":false,"usgs":false,"family":"Perez","given":"Denise","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":953296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273388,"text":"70273388 - 2026 - Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","interactions":[],"lastModifiedDate":"2026-05-07T15:40:32.276489","indexId":"70273388","displayToPublicDate":"2025-12-22T08:01:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","docAbstract":"Long-term monitoring indicates bluegill catch rates are relatively stable in some reaches of the Upper Mississippi River and highly variable in others, whereas in the Illinois River, catch rates have decreased. A lack of age structure information precludes understanding population processes responsible for patterns in catch rates. To build a better understanding of why catch rates have changed over time, we integrated short-term age structure information with long-term monitoring data to quantify and assess spatial patterns in bluegill population dynamics across six study reaches of these two rivers. Specifically, we estimated and compared age and size structure, growth, maturity, mortality, and recruitment. We used quantile regressions to apply age estimates to long-term data for investigating trends in age-based catch rates reflective of recruitment (age-1 catch rates), mortality (using age-1 and age-2+ catch rates), and spawning stock (age-2+). Our findings indicate trends in bluegill age-2+ catch rates increased and then stabilized across upstream study reaches, but dynamic rates, size structure, and age at maturity varied among reaches. Bluegill populations in downstream study reaches had low maximum size, early maturation, low mean age, low proportional stock density, declining recruitment, and declining age-2+ catch rates. An insufficient number of bluegills were collected from the study reach furthest downstream to adequately quantify dynamic rates. Our results support life history theory in that bluegill respond to unstable environmental conditions through life history adaptations. These findings show how integrating periodic age structure information with long-term monitoring can enhance population assessments.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70108","usgsCitation":"Bouska, K.L., Solomon, L.E., Bartels, A.D., Bowler, M., DeLain, S., Gittinger, E.J., Kueter, T., Maxson, K.A., Ratcliff, E., West, J.L., Lamer, J.T., Kim, H.H., and Phelps, Q.E., 2026, Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers: River Research and Applications, v. 42, no. 4, p. 779-795, https://doi.org/10.1002/rra.70108.","productDescription":"17 p.","startPage":"779","endPage":"795","ipdsId":"IP-175311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498546,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499253,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70108","text":"Publisher Index Page"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Middle Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.06717146140289,\n 45.86447206354717\n ],\n [\n -92.52191784406254,\n 41.69882187175006\n ],\n [\n -90.28756944844972,\n 36.728832427449134\n ],\n [\n -88.21309347811803,\n 37.288018848156554\n ],\n [\n -90.85588856742109,\n 46.01773041949036\n ],\n [\n -94.06717146140289,\n 45.86447206354717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 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Understanding diurnal patterns in N2O fluxes in wetlands can reveal short-term drivers and improve process-based models. An automated chamber system was used to determine N2O flux rates every 2.5 to 4 h in a prairie pothole wetland in North Dakota during the 2013 to 2014 growing seasons under ponded, moist, and dry soil conditions. The wetland generally emitted N2O under all conditions, although median fluxes during ponded conditions were low over the two-year study. A significant diurnal N2O pattern was observed under dry soil conditions, but not in moist soil or ponded conditions. When soils were dry, daytime (~ 10:00–14:00; 2.43 ± 0.31 ng m-2 hr-1) and late-day (~ 14:00–18:00; 2.20 ± 0.16 ng m-2 hr-1) average N2O fluxes were 77% and 61% greater, respectively, than other times during the 24-hr diel cycle (< 1.37 ng m-2 hr-1). N2O flux was positively correlated to air (r = 0.58) and soil (r = 0.49) temperatures under dry conditions, while no significant correlations to environmental factors were observed under ponded and moist conditions. Incorporating diurnal patterns in N2O fluxes in wetlands and other ecosystems can improve extrapolations from daily to annual flux calculations and constrain global N2O inventories.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-025-02017-4","usgsCitation":"Faust, D.R., Tangen, B., and Bansal, S., 2026, Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland: Wetlands, v. 46, 1, 12 p., https://doi.org/10.1007/s13157-025-02017-4.","productDescription":"1, 12 p.","ipdsId":"IP-175229","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.12,\n 47.12\n ],\n [\n -99.12,\n 47.09\n ],\n [\n -99.09,\n 47.09\n ],\n [\n -99.09,\n 47.12\n ],\n [\n -99.12,\n 47.12\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","noUsgsAuthors":false,"publicationDate":"2025-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Faust, Derek R.","contributorId":68232,"corporation":false,"usgs":true,"family":"Faust","given":"Derek","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":953286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":216177,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273376,"text":"70273376 - 2026 - Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","interactions":[],"lastModifiedDate":"2026-01-09T16:48:56.879977","indexId":"70273376","displayToPublicDate":"2025-12-17T10:44:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23125,"text":"Science of the Total Environment.","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","docAbstract":"This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via chlorophyll-a (Chl-a) from Sentinel 2-MSI and NASA's new hyperspectral mission, PACE-OCI, enabling the first direct comparison between the two sensors. The model performed well in this complex estuarine system, with higher accuracy from PACE-OCI (MAE: 1.48, RMSE: 10.40, slope: 0.87) than Sentinel 2-MSI (MAE: 1.57, RMSE: 11.08, slope: 0.83). This approach enabled continuous high-resolution monitoring of phytoplankton biomass across space and time. Comparative analysis of 2019, a wet year with Bonnet Carré Spillway (BCS) openings, and 2023, a dry year with extremely low riverine inputs, revealed distinct biomass dynamics. In 2019, BCS discharge initially suppressed Chl-a within turbid waters (<5 mg Chl-a m−3) but later acted as a nutrient and hydrodynamic driver, transporting nutrients toward the lake outlet and Mississippi coast, promoting high biomass (25–45 mg Chl-a m−3) near the entrance. In contrast, dry conditions in 2023 led to more frequent-than-expected high biomass (>35 mg Chl-a m−3), persisting in the lake center. Similar spatial patterns were observed again in 2024, revealed for the first time by PACE-OCI. This study demonstrates the value of satellite-derived observations for capturing transient phytoplankton biomass events and highlights the potential of PACE-OCI's hyperspectral capabilities to better distinguish phytoplankton communities and improve understanding of their responses to freshwater inflows and associated processes driving pulses into estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.181126","usgsCitation":"Shrestha, S., Liu, B., Li, J., Huang, W., Baustian, M.M., D'Sa, E.J., Bargu, S., Messina, F., Georgiou, I.Y., Kumar, A., Freeman, A., and Mize, S., 2026, Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations: Science of the Total Environment., v. 1011, 181126, 18 p., https://doi.org/10.1016/j.scitotenv.2025.181126.","productDescription":"181126, 18 p.","ipdsId":"IP-182233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.181126","text":"Publisher Index Page"},{"id":498512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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events","interactions":[],"lastModifiedDate":"2025-12-22T15:45:49.089097","indexId":"70273229","displayToPublicDate":"2025-12-17T09:41:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Changing dynamic phosphorus forms from field to stream during surface runoff events","docAbstract":"The risk of water quality impairment from agricultural runoff depends on nutrient source, transport, and bioavailability. Phosphorus (P) spirals between dissolved and particulate forms as it is transported with suspended sediment (SS) from agricultural fields, through the stream network, to receiving water bodies. This dynamic sorption-desorption influences bioavailability. We quantified P form and abundance in samples collected during surface-runoff events from a farm field in the East River Basin, Wisconsin and compared them to those in stream water collected from the East River. We sampled five events between late March 2022 and June 2023. During most events, P in surface runoff was mainly in dissolved form, with particulate P sorbed to fine clay, the most abundant particle fraction transported from the field, whereas P in stream water was mainly in particulate form and sorbed to silt, even though fine clay was the most abundant particle fraction in the stream during events. Overall capacity for P sorption to SS in the stream varied among events. Total P and SS concentrations were lower during summer baseflow conditions and smaller surface runoff events; however, what SS was present was more P enriched. This shift in P form from field to stream indicates a potential for sorbing dissolved P to SS during transport through the stream network, which changes the bioavailability of P exported downstream with less bioavailable P as dissolved P binds to SS.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70096","usgsCitation":"Kreiling, R.M., Williamson, T.N., Fitzpatrick, F., Gierke, K., Blount, J.D., Perner, P.M., Mevis, I., Broerman, H., Merriman, K.R., and Komiskey, M.J., 2026, Changing dynamic phosphorus forms from field to stream during surface runoff events: Journal of Environmental Quality, v. 55, no. 1, e70096, 15 p., https://doi.org/10.1002/jeq2.70096.","productDescription":"e70096, 15 p.","ipdsId":"IP-176702","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70096","text":"Publisher Index Page"},{"id":497871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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They have high socioeconomic and recreational value and support an important aquaculture industry. Since 2008, fisheries managers have been reporting the observation of hyperpigmented melanistic lesions (HPMLs) on smallmouth bass (M. dolomieu) in different ecoregions of the United States. Similar HPMLs have been observed in largemouth bass (M. nigricans) since the 1980’s. Here, we report the association between novel adomaviruses and the hallmark blotchy clinical presentation of hyperpigmented lesions on the skin of smallmouth and largemouth black bass. The two adomaviruses are structurally and phylogenetically similar but share only 68.0% identity at aligned nucleotide sites and each has been found in only one host species to date. The manifestation of this skin disease appears to be seasonal (observed between the fall and spring) in both species, primarily affects adults and is of unknown health consequence. Although the significance of infection to fish health remains unclear, understanding the disease ecology of these viruses can inform biosecurity and the interjurisdictional movement of individuals. Moreover, as hyperpigmentation in other fish species is often idiopathic, our findings reframe perspectives for future investigations into this clinical presentation in other species.
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This is important for many reasons, including that feedbacks between the social and ecological dimensions lead to difficult-to-predict, often entirely unexpected, outcomes and because many management and governance systems have multiple objectives that can involve social (e.g. fisher satisfaction), economic (e.g. license revenue), and ecological (e.g. fish conservation) dimensions. Embracing a social-ecological-system perspective can usher in an improved era of recreational fisheries science and management. Interdisciplinary approaches that unite experts across disciplines (e.g. social and ecological sciences) to create a unique theoretical, conceptual, and methodological identity are needed to gather crucial information from recreational fishers, quantify and predict fisher behaviours and outcomes from these behaviours, and integrate these findings into fisheries management. In this chapter, we lay the conceptual foundation for recreational fisheries as coupled social-ecological systems that are also complex and adaptive, and discuss the interdisciplinary approach to operationalize this book’s vision.
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Hunt, Lynch, A., and van Poorten, B.T., 2026, Preface, chap. of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. vii-xi.","productDescription":"5 p.","startPage":"vii","endPage":"xi","ipdsId":"IP-161890","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497548,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/book/10.1007/978-3-031-99739-6"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":952371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlinghaus, Robert","contributorId":364220,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","affiliations":[],"preferred":false,"id":952372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Len M. 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The greater white-fronted goose (Anser albifrons) has shifted its wintering distribution from coastal marshes in Texas and Louisiana, USA, to interior landscapes, creating challenges for conservation managers. Although the range shift has been primarily attributed to landscape-scale changes in rice production, effects of fine-scale habitat conditions on greater white-fronted goose habitat use are unknown. Thus, information on fine-scale environmental conditions could provide information to managers working to mitigate effects of the shift. We used global positioning system neck collars to monitor 78 greater white-fronted geese in Louisiana each winter during 2016–2019 and visited all used locations to record vegetation height, water depth, and land cover. We modeled greater white-fronted goose habitat use in 4 regions across Louisiana (central, coastal, north, southwest), and evaluated effects of vegetation height, water depth, land cover, and interactions. In our candidate model set, we included a sampling null, which accounted for differences in sampling frequencies among hunt seasons and diel periods. The top model in the central, coastal, and north regions included water depth, whereas the top model in the southwest region included water depth, vegetation height, and land cover. Parameter estimates and confidence intervals indicated that goose habitat use was higher at sites with >5.1 cm of water compared to dry sites or sites with <5.1 cm of water. In the southwest region, goose habitat use was highest in areas identified as other land cover (e.g., corn, cotton, rye, sugarcane) and lowest in open water. Although Louisiana has substantial anthropogenic food resources in the form of rice agriculture and abundant grazing opportunities afforded by mild winters, our results indicate that wet areas provide better habitat to greater white-fronted geese than dry areas. New agricultural flooding regimes in Louisiana could improve habitat quality and potentially mitigate some effects of the winter distribution shift.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70153","usgsCitation":"Beatty, W., Link, P.T., Leach, B., Houdek, S.C., and Webb, E.B., 2026, Greater white-fronted goose habitat use in Louisiana provides water depth management insights: Journal of Wildlife Management, v. 50, no. 2, e70153, 19 p., https://doi.org/10.1002/jwmg.70153.","productDescription":"e70153, 19 p.","ipdsId":"IP-168484","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, Paul T.","contributorId":364512,"corporation":false,"usgs":false,"family":"Link","given":"Paul","middleInitial":"T.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leach, Brett","contributorId":356397,"corporation":false,"usgs":false,"family":"Leach","given":"Brett","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952794,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274734,"text":"70274734 - 2026 - Introducing disciplinary perspectives and interdisciplinary possibilities for studying recreational fishers and fisheries","interactions":[],"lastModifiedDate":"2026-04-09T14:51:03.809354","indexId":"70274734","displayToPublicDate":"2025-12-15T09:42:33","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"3","title":"Introducing disciplinary perspectives and interdisciplinary possibilities for studying recreational fishers and fisheries","docAbstract":"Individuals from many disciplines conduct research to understand the social dimension of recreational fisheries. This diverse inquiry has produced a comprehensive understanding of the behaviours of recreational fishers, the outcomes from fishing, and the relationships among fishers, others, and the natural and human environment. The associated body of research, however, is largely disconnected across disciplines. Our goals here are to help readers understand the similarities and differences among disciplines and to identify opportunities for interdisciplinary-based research on recreational fishers. Before addressing these goals, we begin by answering basic questions: What is a discipline? What are the primary disciplines used to study recreational fishers? And what is the genealogy of research on recreational fishers? Seven key disciplines are then classified by multi-criteria related to both focus and epistemological and methodological approaches. This classification reveals clear connections among: (i) ecological science and resource economics, and to a lesser extent historical ecology; (ii) environmental history and political ecology; and (iii) behavioural economics and social psychology. We next describe and provide possible remedies for barriers that inhibit interdisciplinary research, including different epistemologies, nomenclature, and reward bias. Finally, we highlight opportunities to conduct interdisciplinary research by describing the types of benefits that each discipline can provide when conducting interdisciplinary research on recreational fisheries.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-99739-6_3","usgsCitation":"Hunt, L.M., Boucquey, N., Beardmore, B., Christensen, J., Fulton, D.C., Mackay, M., Melstrom, R.T., Post, J.R., Schroeder, S.A., Thurstan, R.H., van Putten, E.I., and Arlinghaus, R., 2026, Introducing disciplinary perspectives and interdisciplinary possibilities for studying recreational fishers and fisheries, chap. of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. 57-93, https://doi.org/10.1007/978-3-031-99739-6_3.","productDescription":"37 p.","startPage":"57","endPage":"93","ipdsId":"IP-152010","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-99739-6_3","text":"Publisher Index Page"},{"id":502351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Len M. M.","contributorId":369331,"corporation":false,"usgs":false,"family":"Hunt","given":"Len M.","middleInitial":"M.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":958884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boucquey, Noëlle","contributorId":369332,"corporation":false,"usgs":false,"family":"Boucquey","given":"Noëlle","affiliations":[{"id":56925,"text":"Eckerd College","active":true,"usgs":false}],"preferred":false,"id":958885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beardmore, Ben","contributorId":369333,"corporation":false,"usgs":false,"family":"Beardmore","given":"Ben","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":958886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Joseph","contributorId":369334,"corporation":false,"usgs":false,"family":"Christensen","given":"Joseph","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":958887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fulton, David C. 0000-0001-5763-7887","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":333043,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":79716,"text":"Minnesota Cooperative Unit","active":true,"usgs":false}],"preferred":true,"id":958888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mackay, Mary","contributorId":369347,"corporation":false,"usgs":false,"family":"Mackay","given":"Mary","affiliations":[{"id":39614,"text":"CSIRO Oceans and Atmosphere","active":true,"usgs":false}],"preferred":false,"id":958889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Melstrom, Richard T.","contributorId":369348,"corporation":false,"usgs":false,"family":"Melstrom","given":"Richard","middleInitial":"T.","affiliations":[{"id":33535,"text":"Loyola University Chicago","active":true,"usgs":false}],"preferred":false,"id":958890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Post, John R.","contributorId":369409,"corporation":false,"usgs":false,"family":"Post","given":"John","middleInitial":"R.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":958891,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Susan A.","contributorId":272994,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":958892,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thurstan, Ruth H.","contributorId":369351,"corporation":false,"usgs":false,"family":"Thurstan","given":"Ruth","middleInitial":"H.","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":958893,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Putten, E. Ingrid","contributorId":369352,"corporation":false,"usgs":false,"family":"van Putten","given":"E.","middleInitial":"Ingrid","affiliations":[{"id":39614,"text":"CSIRO Oceans and Atmosphere","active":true,"usgs":false}],"preferred":false,"id":958894,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Arlinghaus, Robert","contributorId":364220,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","affiliations":[],"preferred":false,"id":958895,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70274744,"text":"70274744 - 2026 - Participatory modelling to support evaluation of management actions for recreational fisheries","interactions":[],"lastModifiedDate":"2026-04-09T14:41:18.524346","indexId":"70274744","displayToPublicDate":"2025-12-15T09:38:17","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Participatory modelling to support evaluation of management actions for recreational fisheries","docAbstract":"Participatory modelling (PM) is a collaborative problem-solving approach that involves shared learning through the development of a model or multiple models with a group of participants and a modelling team. PM has the potential to be used more frequently to address recreational fisheries problems. We focus on our experience working with small groups (usually <40 people) to address natural resource issues. This chapter focuses on building a PM team and the communications that occur before, during, and after a PM process. The participants usually include people like recreational and commercial fishers, members of environmental non-governmental organizations, and fishery managers or other decision makers. Ground rules, expectations, and end goals should be established early in the PM process. We emphasize that benefits arise from including the participants in the development and validation of the models in a process that includes feedback between the modellers and participants. Although participants are ideally involved in all stages, their inclusion during model development and testing can be critical for buy-in within the group. When the modellers listen carefully to participant concerns and respond to those concerns during model development, we have experienced favourable process outcomes such as improved participant engagement and building of trust.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-99739-6_22","usgsCitation":"Wilberg, M.J., Irwin, B., and Jones, M., 2026, Participatory modelling to support evaluation of management actions for recreational fisheries, chap. 22 of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. 693-718, https://doi.org/10.1007/978-3-031-99739-6_22.","productDescription":"26 p.","startPage":"693","endPage":"718","ipdsId":"IP-149844","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-99739-6_22","text":"Publisher Index Page"},{"id":502350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilberg, Michael J.","contributorId":36494,"corporation":false,"usgs":true,"family":"Wilberg","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":958906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":126763,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273302,"text":"70273302 - 2026 - Advancing an adaptable and practical framework to address water quality challenges in a changing world","interactions":[],"lastModifiedDate":"2026-01-06T15:33:54.228626","indexId":"70273302","displayToPublicDate":"2025-12-15T09:31:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7460,"text":"Nature Reviews Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Advancing an adaptable and practical framework to address water quality challenges in a changing world","docAbstract":"As water-quality challenges intensify, the widely used Weighted Regressions on Time, Discharge, and Season (WRTDS) method offers an adaptable and practical framework for global water-quality science and management.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-025-00753-z","usgsCitation":"Zhang, Q., Hirsch, R.M., DeCicco, L., and Murphy, J.C., 2026, Advancing an adaptable and practical framework to address water quality challenges in a changing world: Nature Reviews Earth & Environment, v. 7, p. 1-3, https://doi.org/10.1038/s43017-025-00753-z.","productDescription":"3 p.","startPage":"1","endPage":"3","ipdsId":"IP-182874","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":953282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":953283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":215381,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274754,"text":"70274754 - 2026 - Integrating diverse stakeholder knowledge in recreational fisheries decision making","interactions":[],"lastModifiedDate":"2026-04-09T14:36:18.146592","indexId":"70274754","displayToPublicDate":"2025-12-15T09:29:32","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Integrating diverse stakeholder knowledge in recreational fisheries decision making","docAbstract":"Scientists and policymakers increasingly recognize that recreational fisheries decision making should in some way involve the knowledge of affected stakeholders. There are myriad studies about integrating stakeholder knowledge, but they span broad disciplines and topics. Lacking is (i) simple taxonomies that organize general approaches for integrating knowledge, and (ii) a review and examples of their application to specifically recreational fisheries and specifically diverse stakeholders. This chapter first defines the terms “stakeholders” and “recreational” and recognizes that globally, the decision making for non-commercial fisheries often occurs outside of the North American concept of management agencies and even purely leisure-based fisheries. Most of the chapter reviews common approaches for integrating stakeholder knowledge, from near-complete external governance with minimal input from stakeholders (top-down, command-and-control) to self-governance by stakeholders. Organizationally, we adapt the existing cooperative management continuum to first separate non-participatory from participatory approaches and then separate participatory approaches into those aimed at creating knowledge (to eventually inform future decisions) and those focused on decision making itself. The approaches we consider include observing stakeholders (e.g., via survey), incorporating multiple types of knowing (e.g., local traditional knowledge), collaborative data collection (e.g., citizen science), collaborative modelling (e.g., mental models and quantitative modelling), participatory decision making (co-management proper and the special cases of structured decision making and adaptive management), and finally self-governance (including private management of recreational fisheries). We define each according to a broader literature beyond recreational fisheries, describe the recognized advantages and disadvantages, describe or summarize applications to recreational fisheries, and finally mention relevance for integrating specifically diverse stakeholder knowledge. We then provide advice for how to select different approaches, including situations in which certain approaches are more likely to produce intended consequences. We conclude by describing potential challenges to the more useful integration of diverse stakeholder knowledge and needs in recreational fisheries decision making.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-99739-6_20","usgsCitation":"Camp, E.V., van Poorten, B.T., Robinson, K.F., Harrison, H., Nguyen, V., Crandall, C., Lorenzen, K., Casola, W., Dedual, M., and Klizentyte, K., 2026, Integrating diverse stakeholder knowledge in recreational fisheries decision making, chap. 20 of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. 607-660, https://doi.org/10.1007/978-3-031-99739-6_20.","productDescription":"54 p.","startPage":"607","endPage":"660","ipdsId":"IP-150512","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-99739-6_20","text":"Publisher Index Page"},{"id":502349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Edward V.","contributorId":173095,"corporation":false,"usgs":false,"family":"Camp","given":"Edward","email":"","middleInitial":"V.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":958924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Poorten, Brett T.","contributorId":364222,"corporation":false,"usgs":false,"family":"van Poorten","given":"Brett","middleInitial":"T.","affiliations":[],"preferred":false,"id":958925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Hannah","contributorId":369414,"corporation":false,"usgs":false,"family":"Harrison","given":"Hannah","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":958927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nguyen, Vivian M.","contributorId":166922,"corporation":false,"usgs":false,"family":"Nguyen","given":"Vivian M.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":958928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crandall, Chelsey","contributorId":340788,"corporation":false,"usgs":false,"family":"Crandall","given":"Chelsey","email":"","affiliations":[{"id":81665,"text":"Florida Fish and Wildlife Conservation Commission,","active":true,"usgs":false}],"preferred":false,"id":958929,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenzen, Kai","contributorId":169476,"corporation":false,"usgs":false,"family":"Lorenzen","given":"Kai","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":958930,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Casola, Will","contributorId":369418,"corporation":false,"usgs":false,"family":"Casola","given":"Will","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":958931,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dedual, Michel","contributorId":369419,"corporation":false,"usgs":false,"family":"Dedual","given":"Michel","affiliations":[{"id":38703,"text":"New Zealand Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":958932,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klizentyte, Kotryna","contributorId":369420,"corporation":false,"usgs":false,"family":"Klizentyte","given":"Kotryna","affiliations":[],"preferred":false,"id":958933,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274752,"text":"70274752 - 2026 - Adaptive management for recreational fisheries decisions in the face of uncertainty","interactions":[],"lastModifiedDate":"2026-04-09T14:28:00.759252","indexId":"70274752","displayToPublicDate":"2025-12-15T09:21:39","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"Adaptive management for recreational fisheries decisions in the face of uncertainty","docAbstract":"Recreational fisheries management requires making decisions that consider social, economic, and ecological dimensions. The feedbacks among ecological changes and social responses by fishers create complexity and uncertainty. However, uncertainty can impede the integration of ecological and social dimensions, particularly when considering human behavioural responses to management decisions and ecological changes. One of the few ways to reduce these uncertainties is via experimentation at the system level. Adaptive management (and the larger umbrella of decision analysis) provides a framework to implement purposeful management experiments in a structured manner to learn through an iterative decision process, thereby allowing for the reduction in social and ecological uncertainties in response to planned policy interventions. We discuss the theory of adaptive management and conditions for which it is appropriate, as well as the benefits and costs of applying active versus passive adaptive management to reduce social and ecological uncertainties for recreational fisheries. We then provide key examples from previous studies on decisions for zoning in the Great Barrier Reef, Australia, stocking decisions that include stakeholder learning in Germany, and decisions for stocking and harvest management in British Columbia, that demonstrate best practices for implementation of adaptive management to reduce uncertainties surrounding human behaviour and other social and ecological objectives related to recreational fisheries.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-99739-6_23","usgsCitation":"Robinson, K.F., Arlinghaus, R., Camp, E.V., Post, J.R., Stedman, R., and Sutton, S., 2026, Adaptive management for recreational fisheries decisions in the face of uncertainty, chap. 23 of Understanding recreational fishers: Disciplinary and interdisciplinary approaches for fisheries management, p. 719-746, https://doi.org/10.1007/978-3-031-99739-6_23.","productDescription":"28 p.","startPage":"719","endPage":"746","ipdsId":"IP-149568","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-99739-6_23","text":"Publisher Index Page"},{"id":502348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlinghaus, Robert","contributorId":364220,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","affiliations":[],"preferred":false,"id":958919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Edward V.","contributorId":173095,"corporation":false,"usgs":false,"family":"Camp","given":"Edward","email":"","middleInitial":"V.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":958920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Post, John R.","contributorId":369409,"corporation":false,"usgs":false,"family":"Post","given":"John","middleInitial":"R.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":958921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedman, Richard","contributorId":369410,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":958922,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sutton, Steve","contributorId":269612,"corporation":false,"usgs":false,"family":"Sutton","given":"Steve","email":"","affiliations":[{"id":56009,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, IL 60439, USA","active":true,"usgs":false}],"preferred":false,"id":958923,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248239,"text":"70248239 - 2026 - Data standardization and management to facilitate large-scale and interdisciplinary approaches access","interactions":[],"lastModifiedDate":"2025-12-19T14:24:11.706798","indexId":"70248239","displayToPublicDate":"2025-12-15T08:21:37","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Data standardization and management to facilitate large-scale and interdisciplinary approaches access","docAbstract":"Bringing data related to recreational fishers and fisheries together across large scales can provide tremendous insight. Methods for collecting, analysing, and storing data can vary dramatically, which can have significant implications for the use of these data. Efforts to standardise data within organisations often increase the ability to compare datasets from different areas, monitor changes over time, and increase the utility of the data for management and research. Though employing standardised methodology and data architecture results in the most straightforward and robust opportunities for data integration, doing so may not be possible due to variation in data collection objectives, continuity with historical programs, and resource limitations. Additionally, managing data according to FAIR principles (findability, accessibility, interoperability, and reusability) helps support data sharing and large-scale research efforts. Key elements of integrable data include appropriate data structures, adequate documentation of methodology, interpretable and complete metadata, and accessible storage formats. We document the potential benefits of standardising data and offer example approaches. We also explore best practices regarding the formatting, storage, and transmission of recreational fisher data. Efforts to increase the level of standardisation and integrability of recreational fisher data can create opportunities to better understand fisher behaviour, needs, and fulfilment.
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","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70198","usgsCitation":"Gustafson, E.J., De Jager, N.R., McGraw, A.M., Kern, C.C., and Kabrick, J.M., 2026, Effects of ungulate browsing on forest assisted migration strategies to conserve ecosystem function: Conservation Biology, v. 40, no. 2, e70198, 14 p., https://doi.org/10.1111/cobi.70198.","productDescription":"e70198, 14 p.","ipdsId":"IP-171512","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.9,\n 45.5\n ],\n [\n -88.9,\n 45\n ],\n [\n -88.333,\n 45\n ],\n [\n -88.333,\n 45.5\n ],\n [\n -88.9,\n 45.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gustafson, Eric J.","contributorId":368942,"corporation":false,"usgs":false,"family":"Gustafson","given":"Eric","middleInitial":"J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":958145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGraw, Amanda M.","contributorId":368943,"corporation":false,"usgs":false,"family":"McGraw","given":"Amanda","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":958146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christel C.","contributorId":368944,"corporation":false,"usgs":false,"family":"Kern","given":"Christel","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kabrick, John M.","contributorId":368945,"corporation":false,"usgs":false,"family":"Kabrick","given":"John","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}