Accelerating sea level rise (SLR) and changing storm patterns will increasingly expose barrier islands to coastal hazards, including flooding, erosion, and rising groundwater tables. We assess the exposure of Cape Lookout National Seashore, a barrier island system in North Carolina (USA), to projected SLR and storm hazards over the twenty-first century. We estimate that with 0.5 m of SLR, 47% of current subaerial barrier island area would be flooded daily, and the 1-year return period storm would flood 74%. For 20-year return period storms, over 85% is projected to be flooded for any SLR. The modelled groundwater table is already shallow (< 2 m deep), and while projected to shoal to the land surface with SLR, marine flooding is projected to overtake areas with emergent groundwater. Projected shoreline retreat reaches an average of 178 m with 1 m of SLR and no interventions, which is over 60% of the current island width at narrower locations. Compounding these hazards is subsidence, with one-third of the study area currently lowering at > 2 mm/yr. Our results demonstrate the difficulty of managing natural barrier systems such as those managed by federal park systems tasked with maintaining natural ecosystems and protecting cultural resources.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-76749-4","usgsCitation":"Thomas, J.A., Barnard, P.L., Vitousek, S., Erikson, L.H., Parker, K.A., Nederhoff, K., Befus, K.M., and Shirzaei, M., 2024, The projected exposure and response of a natural barrier island system to climate-driven coastal hazards: Scientific Reports, v. 14, 25814, 16 p., https://doi.org/10.1038/s41598-024-76749-4.","productDescription":"25814, 16 p.","ipdsId":"IP-159766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466806,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-76749-4","text":"Publisher Index Page"},{"id":463350,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.00044575785073,\n 35.04289907218657\n ],\n [\n -76.06277684124831,\n 35.10241453299423\n ],\n [\n -76.46792888333269,\n 34.74467160307489\n ],\n [\n -76.53025996672974,\n 34.6678097189927\n ],\n [\n -76.6705049043746,\n 34.7105195823093\n ],\n [\n -76.69128193217362,\n 34.637899706102985\n ],\n [\n -76.4939001680816,\n 34.55666100513659\n ],\n [\n -76.00044575785073,\n 35.04289907218657\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":917041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":917042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":917047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":917043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":917044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":917045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Befus, Kevin M.","contributorId":242636,"corporation":false,"usgs":false,"family":"Befus","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":917046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shirzaei, Manoochehr 0000-0003-0086-3722","orcid":"https://orcid.org/0000-0003-0086-3722","contributorId":245637,"corporation":false,"usgs":false,"family":"Shirzaei","given":"Manoochehr","email":"","affiliations":[{"id":49242,"text":"Dept. of Geosciences, Virginia Tech Univ.","active":true,"usgs":false}],"preferred":false,"id":917048,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70266311,"text":"70266311 - 2024 - Predator-specific mortality of sage-grouse nests based on predator DNA on eggshells","interactions":[],"lastModifiedDate":"2025-05-05T14:44:40.283853","indexId":"70266311","displayToPublicDate":"2024-10-28T09:41:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Predator-specific mortality of sage-grouse nests based on predator DNA on eggshells","docAbstract":") in the mid-Atlantic United States","title":"Tissue distribution and temporal and spatial assessment of per- and polyfluoroalkyl substances (PFAS) in smallmouth bass (Micropterus dolomieu) in the mid-Atlantic United States","docAbstract":"Per- and polyfluoroalkyl substances (PFAS) have become an environmental issue worldwide. A first step to assessing potential adverse effects on fish populations is to determine if concentrations of concern are present in a region and if so, in which watersheds. Hence, plasma from adult smallmouth bass Micropterus dolomieu collected at 10 sites within 4 river systems in the mid-Atlantic region of the United States, from 2014 to 2019, was analyzed for 13 PFAS. These analyses were directed at better understanding the presence and associations with land use attributes in an important sportfish. Four substances, PFOS, PFDA, PFUnA, and PFDoA, were detected in every plasma sample, with PFOS having the highest concentrations. Sites with mean plasma concentrations of PFOS below 100 ng/ml had the lowest percentage of developed landcover in the upstream catchments. Sites with moderate plasma concentrations (mean PFOS concentrations between 220 and 240 ng/ml) had low (< 7.0) percentages of developed land use but high (> 30) percentages of agricultural land use. Sites with mean plasma concentrations of PFOS > 350 ng/ml had the highest percentage of developed land use and the highest number PFAS facilities that included military installations and airports. Four of the sites were part of a long-term monitoring project, and PFAS concentrations of samples collected in spring 2017, 2018, and 2019 were compared. Significant annual differences in plasma concentrations were noted that may relate to sources and climatic factors. Samples were also collected at two sites for tissue (plasma, whole blood, liver, gonad, muscle) distribution analyses with an expanded analyte list of 28 PFAS. Relative tissue distributions were not consistent even within one species of similar ages. Although the long-chained legacy PFAS were generally detected more frequently and at higher concentrations, emerging compounds such as 6:2 FTS and GEN X were detected in a variety of tissues.
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,{"id":70262330,"text":"70262330 - 2024 - A multi-objective approach for timber harvest scheduling to include management of at-risk species and spatial configuration objectives","interactions":[],"lastModifiedDate":"2025-01-21T17:04:03.380739","indexId":"70262330","displayToPublicDate":"2024-10-25T16:21:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A multi-objective approach for timber harvest scheduling to include management of at-risk species and spatial configuration objectives","docAbstract":"Sustainable forestry typically involves integration of several economic and ecological objectives which, at times, may not be compatible with one another. Multi-objective prioritization via harvest scheduling programs can be used to elucidate these relationships and explore solutions. One such program is a spatially explicit harvest scheduler that adopts the Metropolis-Hastings algorithm to iteratively find management solutions to achieve multiple objectives (Habplan). Although this program has been used to address forest management scheduling and simulation-based tasks, its utility is constrained by time-intensive data preparation and challenges with incorporating spatial configuration objectives. To address these shortcomings, we introduce an open-source software package, HabplanR, streamlines data preparation, sets parameters, visualizes results, and assesses spatial components of ecological objectives. We developed four example objectives to incorporate into a multi-objective management problem: habitat quality indices for three species “types” (open, closed, and intermediate-canopy-associated species), and harvested pine pulpwood (revenue). We demonstrate the utility of this package to find management schedules that can accommodate potentially conflicting habitat needs of species, while achieving economic targets. We produced 100 software runs and prioritized individual objectives to select four management schedules for further comparisons. We compared outcome differences of the four schedules, including a spatial comparison of two high performing schedules. The software package makes costs and benefits of different schedules explicit and allows for consideration of the spatial configuration of management outcomes in decision-making.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0302640","usgsCitation":"Jones, M., Larsen-Gray, A., Prisley, S., Munro, H., and Hunter, E.A., 2024, A multi-objective approach for timber harvest scheduling to include management of at-risk species and spatial configuration objectives: PLoS ONE, v. 19, no. 10, e0302640, 21 p., https://doi.org/10.1371/journal.pone.0302640.","productDescription":"e0302640, 21 p.","ipdsId":"IP-160551","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0302640","text":"Publisher Index Page"},{"id":480838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southeastern United States","volume":"19","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Max D.","contributorId":348862,"corporation":false,"usgs":false,"family":"Jones","given":"Max D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":923838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen-Gray, Angela","contributorId":348864,"corporation":false,"usgs":false,"family":"Larsen-Gray","given":"Angela","affiliations":[{"id":38077,"text":"National Council for Air and Stream Improvement","active":true,"usgs":false}],"preferred":false,"id":923839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prisley, Stephen P.","contributorId":348867,"corporation":false,"usgs":false,"family":"Prisley","given":"Stephen P.","affiliations":[{"id":38077,"text":"National Council for Air and Stream Improvement","active":true,"usgs":false}],"preferred":false,"id":923840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munro, Holly L.","contributorId":348870,"corporation":false,"usgs":false,"family":"Munro","given":"Holly L.","affiliations":[{"id":38077,"text":"National Council for Air and Stream Improvement","active":true,"usgs":false}],"preferred":false,"id":923841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260999,"text":"70260999 - 2024 - Silver carp experience metabolic and behavioral changes when exposed to water from the Chicago Area Waterway","interactions":[],"lastModifiedDate":"2024-11-21T14:29:08.569902","indexId":"70260999","displayToPublicDate":"2024-10-25T09:37:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Silver carp experience metabolic and behavioral changes when exposed to water from the Chicago Area Waterway","docAbstract":"One of the hallmarks of invasive species is their propensity to spread. Removing an invasive species after establishment is virtually impossible, and so considerable effort is invested in preventing the range expansion of invaders. Silver carp (Hypophthalmichthys molitrix) were discovered in the Mississippi River in 1981 and have spread throughout the basin. Despite their propensity to expand, the ‘leading edge’ in the Illinois River has stalled south of Chicago and has remained stable for a decade. Studies have indicated that contaminants in the Chicago Area Waterway System (CAWS) may be contributing to the lack of upstream movement, but this hypothesis has not been tested. This study used a laboratory setting to quantify the role of contaminants in deterring upstream movement of silver carp within the CAWS. For this, water was collected from the CAWS near the upstream edge of the distribution and transported to a fish culture facility. Silver carp and one native species were exposed to CAWS water, and activity, behavior, avoidance, and metabolic rates were quantified. Results showed that silver carp experience an elevated metabolic cost in CAWS water, along with reductions in swimming behavior. Together, results indicate a role for components of CAWS water at deterring range expansion.
","language":"English","publisher":"SpringerNature","doi":"10.1038/s41598-024-71442-y","usgsCitation":"Schneider, A.E., Esbaugh, A.J., Cupp, A.R., and Suski, C., 2024, Silver carp experience metabolic and behavioral changes when exposed to water from the Chicago Area Waterway: Scientific Reports, v. 14, 24689, 11 p., https://doi.org/10.1038/s41598-024-71442-y.","productDescription":"24689, 11 p.","ipdsId":"IP-155110","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466817,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-71442-y","text":"Publisher Index Page"},{"id":464358,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Schneider, Amy E. 0009-0000-3486-2934","orcid":"https://orcid.org/0009-0000-3486-2934","contributorId":346389,"corporation":false,"usgs":false,"family":"Schneider","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":918863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esbaugh, Andrew J.","contributorId":267780,"corporation":false,"usgs":false,"family":"Esbaugh","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":55496,"text":"The University of Texas at Austin, Marine Science Institute, Port Aransas, TX","active":true,"usgs":false}],"preferred":false,"id":918864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":918865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":918866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262433,"text":"70262433 - 2024 - Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia","interactions":[],"lastModifiedDate":"2025-01-23T16:08:17.12411","indexId":"70262433","displayToPublicDate":"2024-10-22T10:04:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5132,"text":"Proceedings of the West Virginia Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia","docAbstract":"The Paddlefish (Polyodon spathula), a large-bodied and highly migratory species of large river systems, has experienced population declines or extirpation in parts of its native range. As an effort to reestablish a Paddlefish population in the Ohio River of West Virginia, the West Virginia Division of Natural Resources has stocked fingerling Paddlefish in the previous two decades. Post-stocking studies could assess the status of the reintroduced population, which includes collecting information on their seasonal movements and dam passage frequency through navigation dams of the Ohio and Kanawha Rivers. Using acoustic telemetry techniques, we monitored seasonal movements and assessed dam passage of five Paddlefish in the Robert C. Byrd Pool of the Ohio and Kanawha rivers. Paddlefish were highly mobile with two individuals using the entire R.C. Byrd Pool during the 11-month study period. Most movements occurred during the expected spawning period of April and May, where all individuals frequented the upper section of the pool in the Kanawha River. Downstream passage was documented for one individual at the R.C. Byrd lock during July 2023, but no evidence of upstream passage was documented for the locks at Racine (Ohio River) or Winfield (Kanawha River). Tagging of additional Paddlefish would be beneficial to increase sample size for future assessments and continue efforts toward the long-term conservation and management of Ohio River Paddlefish.
","language":"English","publisher":"West Virginia Academy of Sciences","doi":"10.55632/pwvas.v96i2.1103","usgsCitation":"Welsh, S.A., Zipfel, K., Peters, A., Hoffman, D., and Layne, C., 2024, Paddlefish movement and dam passage in the Ohio and Kanawha Rivers, West Virginia: Proceedings of the West Virginia Academy of Science, v. 96, no. 2, p. 12-19, https://doi.org/10.55632/pwvas.v96i2.1103.","productDescription":"8 p.","startPage":"12","endPage":"19","ipdsId":"IP-170455","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55632/pwvas.v96i2.1103","text":"Publisher Index Page"},{"id":481001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Kanawha River, Ohio River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.21695486577521,\n 39.07404804048838\n ],\n [\n -82.21695486577521,\n 38.587909019086965\n ],\n [\n -81.81391593714665,\n 38.587909019086965\n ],\n [\n -81.81391593714665,\n 39.07404804048838\n ],\n [\n -82.21695486577521,\n 39.07404804048838\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipfel, Katherine J.","contributorId":349275,"corporation":false,"usgs":false,"family":"Zipfel","given":"Katherine J.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Andrew W.","contributorId":349277,"corporation":false,"usgs":false,"family":"Peters","given":"Andrew W.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":924188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, David C.","contributorId":349279,"corporation":false,"usgs":false,"family":"Hoffman","given":"David C.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":924189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Layne, Cameron M.","contributorId":349281,"corporation":false,"usgs":false,"family":"Layne","given":"Cameron M.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924190,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259740,"text":"70259740 - 2024 - Testing spatial out-of-sample area of influence for grain forecasting models","interactions":[],"lastModifiedDate":"2024-10-22T12:11:07.197183","indexId":"70259740","displayToPublicDate":"2024-10-18T07:09:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18748,"text":"Enivronmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Testing spatial out-of-sample area of influence for grain forecasting models","docAbstract":"We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. Specifically, we evaluate an AoA methodology established for generating raster surfaces and apply it to vector supported grain data. We fit a series of ensemble tree models both within single countries and across multiple sets of countries and then test those models in countries excluded from the training set. We then calculate and decompose AoA measures and examine several different performance metrics. We find that the spatial transfer accuracy does not vary across season but does vary by average rainfall and across high, medium, and low yielding regions. In general, areas with higher yields and medium to high average rainfall tend to have higher accuracy for both model training and transfer. Finally, we find that fitting models with multiple countries provides more accurate out-of-sample estimates when compared to models fitted to a single country.
Coastal hydrodynamics and morphodynamics integrate the effects of small-scale fluid-sediment interactions; yet, these small-scale processes are not well understood. To investigate sediment trapping by turbulent coherent structures or vortices, the transport of coarse sand over ripples was analyzed in a small-oscillatory flow tunnel with phase-separated Particle Image and Tracking Velocimetry. Results from one of the first direct measurements of vortex-trapped sand grains under oscillatory flows are presented. The vortices mobilized sand grains along the ripple slopes just prior to flow reversal and transported the suspended sediment grains. During several flow cycles, some sand grains were temporarily trapped in the vortex, prescribing semi-circular trajectories off-center from the vortex core in quadrants of the vortex that were closest to the ripple slope, as illustrated by Nielsen (1992,
https://doi.org/10.1142/1269). Comparisons of the horizontal sediment grain velocity with the horizontal fluid velocity yielded a linear relationship with a slope of 0.87. The vertical grain velocities also varied linearly with the vertical fluid velocity with a slope of approximately 1 and an offset of −0.08 m s
−1. The offset is close to the still water settling velocity for coarse sand grains, as hypothesized during vortex trapping. Additionally, estimates of the off-center distance, between the centers of the semi-circular sediment paths and vortex cores, compared well with the ratio of the settling velocity to the radian frequency of the vortex yielding a linear regression slope of 0.99. Improved understanding of vortex trapping effects on sediment dynamics may decrease uncertainty in model predictions of large-scale coastal hydrodynamics and sediment transport.
Environmental DNA (eDNA) offers a novel approach to supplement traditional surveys and provide increased spatial and temporal information on species detection, and it can be especially beneficial for detecting at risk or threatened species with minimal impact on the target species. The transport of eDNA in lotic environments is an important component in providing more informed descriptions of where and when a species is present, but eDNA transport phenomena are not well understood. In this study, we used species-specific assays to detect eDNA from two federally endangered mussels in two geographically distinct rivers. Using the eDNA concentrations measured from field samples, we developed a one-dimensional (1D) hydrodynamic transport model to predict the downstream fate and transport of eDNA. We detected eDNA from both federally endangered mussels across several seasons and flow rates and up to 3.5 km downstream from the source populations, but the detection rates and eDNA concentrations were highly variable across and within rivers and study reaches. Our 1D transport models successfully integrated the variability of the eDNA field samples into the model predictions and overall model results were generally within ±1 standard error of the eDNA field concentration values. Overall, the results of this study demonstrate the importance of optimizing the spatial locations from where eDNA is collected downstream from a source population, and it highlights the need to improve understanding on the shedding mechanisms and magnitude of eDNA from source populations and biogeomorphic processes that influence eDNA transport.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0304323","usgsCitation":"Sansom, B.J., Ruiz-Ramos, D.V., Thompson, N., Roberts, M.O., Taylor, Z., Ortiz, K., Jones, J.W., Richter, C.A., and Klymus, K.E., 2024, Detection and transport of environmental DNA from two federally endangered mussels: PLoS ONE, v. 19, no. 10, e0304323, 24 p., https://doi.org/10.1371/journal.pone.0304323.","productDescription":"e0304323, 24 p.","ipdsId":"IP-145382","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0304323","text":"Publisher Index Page"},{"id":463700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Tennessee","otherGeospatial":"Big Piney River, Clinch River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.25,\n 37.916667\n ],\n [\n -92.25,\n 37.666\n ],\n [\n -91.916667,\n 37.666\n ],\n [\n -91.916667,\n 37.916667\n ],\n [\n -92.25,\n 37.916667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.916667,\n 36.585451255364006\n ],\n [\n -83.083333,\n 36.585451255364006\n ],\n [\n -83.083333,\n 36.52\n ],\n [\n -82.916667,\n 36.52\n ],\n [\n -82.916667,\n 36.585451255364006\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sansom, Brandon James 0000-0001-7999-9547","orcid":"https://orcid.org/0000-0001-7999-9547","contributorId":289636,"corporation":false,"usgs":true,"family":"Sansom","given":"Brandon","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz-Ramos, Dannise Vannesa 0000-0001-7282-0380","orcid":"https://orcid.org/0000-0001-7282-0380","contributorId":245827,"corporation":false,"usgs":true,"family":"Ruiz-Ramos","given":"Dannise","email":"","middleInitial":"Vannesa","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Maura O 0000-0002-5575-0330","orcid":"https://orcid.org/0000-0002-5575-0330","contributorId":291406,"corporation":false,"usgs":true,"family":"Roberts","given":"Maura","email":"","middleInitial":"O","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Zachary","contributorId":317916,"corporation":false,"usgs":false,"family":"Taylor","given":"Zachary","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":917886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ortiz, Katie","contributorId":317917,"corporation":false,"usgs":false,"family":"Ortiz","given":"Katie","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":917887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Jess W.","contributorId":245826,"corporation":false,"usgs":false,"family":"Jones","given":"Jess","email":"","middleInitial":"W.","affiliations":[{"id":49337,"text":"U.S. Fish and Wildlife Service, Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":917888,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917889,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917890,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263932,"text":"70263932 - 2024 - Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly","interactions":[],"lastModifiedDate":"2025-02-28T15:18:36.783787","indexId":"70263932","displayToPublicDate":"2024-10-17T09:12:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly","docAbstract":"We investigated the reproductive ecology and effects of egg parasitism on the Samoan swallowtail butterfly (Papilio godeffroyi), which survives only on Tutuila Island, American Samoa, after having disappeared from the much larger islands of Upolu and Savai‘i in independent Samoa. During monthly surveys of its only known host plant, Micromelum minutum, across eight sites in 2013 and 2014, we collected eggs, eggshells, larvae, pupae, and pupal exuviae. Live specimens were reared under laboratory conditions to determine reproductive outcomes, developmental rates, and sex ratios, as well as parasitoid attack frequencies, brood sizes, and sex ratios. Sixty-six of 448 (14.7%) eggs produced larvae, 47 of which became adults. The sex ratio was approximately even overall and within each developmental stage. Eggs were slightly larger on individual host trees and in host tree stands that yielded more eggs per unit of foliage, indicating that ovipositing females responded to some features of host trees and stands. Eggs hatching female or male larvae were similar in size, and the sexes developed at similar rates. A newly described species of parasitoid wasp, Ooencyrtus pitosina (Encyrtidae), emerged from 73.6% of 382 butterfly eggs that failed to hatch in the laboratory (62.7% of 448 eggs overall). Forty-one other eggs contained dead parasitoid larvae. An additional, unidentified Ooencyrtus wasp species emerged from a single P. godeffroyi egg. No parasitoids were reared from P. godeffroyi larvae or pupae. Of 656 P. godeffroyi eggshells collected in the field and examined in the laboratory, 62.2% showed signs of having been parasitized by O. pitosina. There was no evidence that parasitism rates were density-dependent. O. pitosina brood sizes ranged from 1 to 5, with the sex ratio skewed toward females (2.40 F:1.00 M). Larger parasitoid broods were associated with slightly larger host eggs, indicating that female wasps may adjust brood size according to host egg size or that fewer wasp larvae are able to complete development in smaller eggs. Techniques used to rear both P. godeffroyi and O. pitosina in the laboratory could be applied to a captive-rear, wild-release program, which may facilitate reestablishment of the species in Samoa.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70032","usgsCitation":"Banko, P.C., Schmaedick, M.A., Peck, R., Miles, A.C., and Leifi, N., 2024, Reproductive ecology and egg parasitism of the Samoan swallowtail butterfly: Ecosphere, v. 15, no. 10, e70032, 21 p., https://doi.org/10.1002/ecs2.70032.","productDescription":"e70032, 21 p.","ipdsId":"IP-132957","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":487581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70032","text":"Publisher Index Page"},{"id":482635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"American Samoa","otherGeospatial":"Tutuila Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.54468106578662,\n -14.2049718486698\n ],\n [\n -170.85768745190572,\n -14.2049718486698\n ],\n [\n -170.85768745190572,\n -14.400876398944945\n ],\n [\n -170.54468106578662,\n -14.400876398944945\n ],\n [\n -170.54468106578662,\n -14.2049718486698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":929167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmaedick, Mark A.","contributorId":167127,"corporation":false,"usgs":false,"family":"Schmaedick","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":24622,"text":"Division of Community and Natural Resources, American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":929168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":929169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Adam C.","contributorId":139982,"corporation":false,"usgs":false,"family":"Miles","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":929170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leifi, Niela","contributorId":317262,"corporation":false,"usgs":false,"family":"Leifi","given":"Niela","email":"","affiliations":[{"id":13353,"text":"American Samoa Community College","active":true,"usgs":false}],"preferred":false,"id":929171,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261501,"text":"70261501 - 2024 - The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","interactions":[],"lastModifiedDate":"2024-12-12T15:18:43.620462","indexId":"70261501","displayToPublicDate":"2024-10-15T08:10:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","docAbstract":"Projections for deep decarbonization require large amounts of solar energy, which may compete with other land uses such as agriculture, urbanization, and conservation of natural lands. Existing capacity expansion models do not integrate land use land cover change (LULC) dynamics into projections. We explored the interaction between projected LULC, solar photovoltaic (PV) deployment, and solar impacts on natural lands and croplands by integrating projections of LULC with a model that can project future deployment of solar PV with high spatial resolution for the conterminous United States. We used scenarios of LULC projections from the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios from 2010 to 2050 and two electricity grid scenarios to model future PV deployment and compared those results against a baseline that held 2010 land cover constant through 2050. Though solar PV's overall technical potential was minimally impacted by LULC scenarios, deployed PV varied by −16.5 to 11.6 % in 2050 from the baseline scenario. Total land requirements for projected PV were similar to other studies, but measures of PV impacts on natural systems depended on the underlying land change dynamics occurring in a scenario. The solar PV deployed through 2050 resulted in 1.1 %–2.4 % of croplands and 0.3 %–0.7 % of natural lands being converted to PV. However, the deepest understanding of PV impacts and interactions with land cover emerged when the complete net gains and losses from all land cover change dynamics, including PV, were integrated. For example, one of the four LULC projections allows for high solar development and a net gain in natural lands, even though PV drives a larger percentage of natural land conversion. This paper shows that integrating land cover change dynamics with energy expansion models generates new insights into trade offs between decarbonization, impacts of renewables, and ongoing land cover change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.173872","usgsCitation":"Diffendorfer, J., Sergi, B., Lopez, A., Williams, T., Gleason, M., Ancona, Z.H., and Cole, W., 2024, The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US: Science of the Total Environment, v. 947, 173872, 11 p., https://doi.org/10.1016/j.scitotenv.2024.173872.","productDescription":"173872, 11 p.","ipdsId":"IP-163022","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.173872","text":"Publisher Index 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,{"id":70261240,"text":"70261240 - 2024 - Tracking mangrove condition changes using dense Landsat time series","interactions":[],"lastModifiedDate":"2024-12-03T15:33:49.669899","indexId":"70261240","displayToPublicDate":"2024-10-11T09:25:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Tracking mangrove condition changes using dense Landsat time series","docAbstract":"Mangroves in tropical and subtropical coasts are subject to episodic disturbances, notably from severe storms, leading to potential widespread vegetation mortality. The ability of vegetation to recover varies, and with disturbances becoming more frequent and severe, it is vital to track and project vegetation responses to support management and policy decisions. Prior studies have largely focused on binary mangrove mapping (i.e., presence or absence), while tracking conditions and condition change have not received sufficient attention. In this paper, we demonstrate a method based on dense time series Landsat images for continuous monitoring of mangrove conditions, where we track three kinds of post-disturbance mangrove conditions, including disturbed (disturbed, with rebound to the previous state within one growing season), recovering (undergoing natural recovery in longer than one growing season), and declining (showing long-term decline after disturbance). The method starts with disturbance detection using the DEtection and Characterization Of the tiDal wEtland change (DECODE) algorithm, an existing dense time series model designed to detect disturbances in tidal wetlands with adaptation to tidal fluctuations. This algorithm is well suited for the detection of tidal wetland disturbances but does not provide satisfactory post-disturbance monitoring results, due to the substantial variability in post-disturbance Landsat observations. To better monitor post-disturbance conditions, a new time series fitting approach, DECODER (DECODE and Recovery), is proposed for the recovery stage. Additionally, for temporal segments divided by disturbance events, we built a random forest classifier with temporal-spectral variables derived from the time series model to characterize mangrove conditions. Employing this approach in Florida's mangroves, we generated condition maps, such as dieback and recovery, with an overall accuracy of approximately 97.96 ± 0.86- [95 % confidence intervals]. Comparing post-hurricane conditions in Florida revealed that the increased frequency and severity of disturbances are challenging mangrove resilience, potentially diminishing their ability to recover and sustain ecosystem functions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114461","usgsCitation":"Yang, X., Zhu, Z., Kroeger, K.D., Qiu, S., Covington, S., Conrad, J.R., and Zhu, Z., 2024, Tracking mangrove condition changes using dense Landsat time series: Remote Sensing of Environment, v. 315, 114461, 20 p., https://doi.org/10.1016/j.rse.2024.114461.","productDescription":"114461, 20 p.","ipdsId":"IP-171456","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":466856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114461","text":"Publisher Index Page"},{"id":464698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.7435896795151,\n 29.468105811418027\n ],\n [\n -83.7435896795151,\n 24.675167884786973\n ],\n [\n -79.34983154106673,\n 24.675167884786973\n ],\n [\n -79.34983154106673,\n 29.468105811418027\n ],\n [\n -83.7435896795151,\n 29.468105811418027\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Xiucheng","contributorId":346867,"corporation":false,"usgs":false,"family":"Yang","given":"Xiucheng","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhe","contributorId":346868,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":920062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qiu, Shi","contributorId":346869,"corporation":false,"usgs":false,"family":"Qiu","given":"Shi","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Covington, Scott","contributorId":346870,"corporation":false,"usgs":false,"family":"Covington","given":"Scott","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, Jeremy R.","contributorId":346871,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":920066,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259636,"text":"70259636 - 2024 - A meta-analysis of mercury biomagnification in freshwater predatory invertebrates: Community diversity and dietary exposure drive variability","interactions":[],"lastModifiedDate":"2024-11-04T19:41:39.067414","indexId":"70259636","displayToPublicDate":"2024-10-11T07:20:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis of mercury biomagnification in freshwater predatory invertebrates: Community diversity and dietary exposure drive variability","docAbstract":"Accurate estimates of methylmercury (MeHg) exposure are valuable to actionably assess risk and protect wildlife and human health. MeHg trophic transfer is a critical driver of risk: MeHg is generally biomagnified by a factor of 8.3 ± 7.5 from one trophic level to the next, averaged across freshwater communities (mean ± standard deviation). This variability can produce disparate risks even where basal MeHg concentrations are similar. Taxonomy may be one driver of this variability: physiologically diverse groups, like vertebrates and invertebrates, may assimilate MeHg differently. To determine whether taxonomy affects trophic transfer efficiency, we conducted a meta-analysis characterizing predatory invertebrate MeHg biomagnification. Our analyses estimated that freshwater predatory invertebrates biomagnify MeHg by factors of 2.1 ± 0.2 to 4.3 ± 0.3, with a 98.9 ± 0.4% posterior probability that factors are below 5 (mean ± standard error). When vertebrates or primary producers were included, a site’s trophic magnification factor was 18.6 ± 6.2 to 54.1 ± 7.7% higher than estimates for invertebrates alone. Biomagnification was inversely correlated to prey MeHg concentration and varied among systematic and functional groups. These data suggest that predatory invertebrates biomagnify MeHg less efficiently than vertebrates and that a community’s diversity and structure determine its biomagnification efficiency. Incorporating organismal variation in trophic transfer estimates may improve the assessment, communication, and management of MeHg risk.
In a rapidly changing world, where species conservation needs vary by local habitat, concentrated conservation efforts at small spatial scales can be critical. Bats provide an array of value to the ecosystems they inhabit; many bat species are also of conservation concern. San Diego County, California, contains 22 of the 41 bat species that occur in the United States, 16 of which are on conservation watchlists. Thus, management of bat communities in San Diego County is a pressing need. Because bats exploit vast areas of the landscape and historical sampling strategies have shifted over time, a standardized way of prioritizing areas of the landscape for management would provide an integral asset to bat conservation. We leveraged long-term bat community survey data from sampling areas across San Diego County to prioritize areas with the most management need. We calculated two types of scores: species scores and threat scores. Species scores incorporated richness and conservation status, and threat scores included landscape level threats that bats could encounter. We found that urbanization, the presence of artificial lights, and areas sampled on unconserved land were all significantly associated with decreases in species richness. Further, using species and threat scores, each sampling area was placed into one of four conservation categories, in order from greatest to least conservation need, ranging from highest priority (high species score, high threat score) to lowest (low species score, low threat score). Additionally, we focused on sampling areas in which Townsend’s big-eared bat (Corynorhinus townsendii) and/or pallid bat (Antrozous pallidus) occurred. These two species are of exceptional conservation concern in San Diego County and across the western United States. We identified urbanization, the presence of artificial lights, and areas sampled on unconserved land as threats that were all significantly associated with the absence of Townsend’s big-eared bat, but not pallid bat. The strategy, methodology, and solutions proposed in our study should assist bat conservation and management efforts wherever bats occur, and can be extended to other species that require conservation attention.
","language":"English","publisher":"PlosOne","doi":"10.1371/journal.pone.0310812","usgsCitation":"Myers, B.M., Stokes, D., Preston, K.L., Fisher, R., and Vandergast, A.G., 2024, Quantification of threats to bats at localized spatial scales for conservation and management: PLoSOne, v. 19, no. 10, e0310812, 24 p., https://doi.org/10.1371/journal.pone.0310812.","productDescription":"e0310812, 24 p.","ipdsId":"IP-167585","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0310812","text":"Publisher Index Page"},{"id":463041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.49211261751422,\n 33.10326132880121\n ],\n [\n -117.49211261751422,\n 32.508113804090186\n ],\n [\n -116.32057188212111,\n 32.508113804090186\n ],\n [\n -116.32057188212111,\n 33.10326132880121\n ],\n [\n -117.49211261751422,\n 33.10326132880121\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Brian M.","contributorId":345341,"corporation":false,"usgs":false,"family":"Myers","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":82550,"text":"U.S. Geological Survey, Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":916360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokes, Drew","contributorId":345342,"corporation":false,"usgs":false,"family":"Stokes","given":"Drew","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":916361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":916364,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259588,"text":"70259588 - 2024 - Discerning sediment provenance in the Outer Banks (USA) through detrital zircon geochronology","interactions":[],"lastModifiedDate":"2024-10-16T11:46:42.605329","indexId":"70259588","displayToPublicDate":"2024-10-09T06:44:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Discerning sediment provenance in the Outer Banks (USA) through detrital zircon geochronology","docAbstract":"Detrital zircon data from modern barrier island and estuarine environments in the Outer Banks (Atlantic Coast, USA) were statistically compared to sands from nearby rivers to assist in determining source-to-sink pathways. Fluvial samples, collected from near the Fall Line contact between the Appalachian Orogen and sediments of the coastal plain, all have age unique distributions, making them ideal for tracing provenance. Three samples from the Atlantic foreshore showed high similarities to one another, as well as to three samples from the estuarine (back-barrier) Pamlico and Albemarle Sounds. Mixture modeling with multiple data reduction methods and three different statistical tests for similarity consistently indicated that the nearby Potomac River was the primary source for all Atlantic foreshore and estuarine zircons, followed by minor contributions from the James River in some models. The models indicate little or no sediment contribution from the Susquehanna, Roanoke, Tar, Neuse, Cape Fear, and Peedee Rivers. Both Atlantic foreshore and estuarine sands are therefore interpreted to have initially originated from Appalachian bedrock to the north of their present-day location, and subsequently to have been transported southward through the Chesapeake Bay watershed before deposition in Virginia and North Carolina. Prior to barrier island formation in the last several thousand years, differing geomorphology of the Chesapeake Bay facilitated southward movement of sediments from its constituent rivers via longshore drift, where they were deposited in coastal settings on the mainland. The modern barrier islands, formed during the most recent post-glacial transgression, may be reworked from these deposits, but may also include a contribution from sediments that were derived more recently from relict deposits on the shelf. Oceanographic and sedimentological evidence suggests that movement of sand-sized grains from southern rivers across the back-barrier sounds is unlikely. These findings can assist with coastal resilience planning and resource management in a region under severe threat from climate change and rising sea levels.
Globally, aquatic ecosystems are one of the largest but most uncertain sources of methane, a potent greenhouse gas. It is unclear how climate change will affect methane emissions, but recent work suggests that glacial systems, which are melting faster with climate change, may be an important source of methane to the atmosphere. Currently, studies quantifying glacial emissions are limited in number, and the role of methanotrophy, or microbial methane oxidizers, in reducing atmospheric emissions from source and receiving waters is not well known. Here we discuss three potential sites for methane oxidation that could mitigate emissions from glaciers into the atmosphere: under ice oxidation, oxidation within proglacial lakes, and oxidation within melt rivers. The research presented here increases the number of glacial sites with methane concentration data and is one of only a few studies to quantify the net microbial activity of methane production and oxidation in two types of land-terminating glacial runoff (lake and river). We find that oxidation in a glacial river may reduce atmospheric methane emissions from glacial melt by as much as 53%. Incorporating methane oxidation in estimates of glacial methane emissions may significantly reduce the estimated magnitude of this source in budgeting exercises.
Terrestrial evapotranspiration is the second-largest component of the land water cycle, linking the water, energy, and carbon cycles and influencing the productivity and health of ecosystems. The dynamics of ET across a spectrum of spatiotemporal scales and their controls remain an active focus of research across different science disciplines. Here, we provide an overview of the current state of ET science across in situ measurements, partitioning of ET, and remote sensing, and discuss how different approaches complement one another based on their advantages and shortcomings. We aim to facilitate collaboration among a cross-disciplinary group of ET scientists to overcome the challenges identified in this paper and ultimately advance our integrated understanding of ET.
","language":"English","publisher":"Wiley","doi":"10.1029/2024WR037622","usgsCitation":"Yi, K., Senay, G.B., Fisher, J., Wang, L., Suvocarev, K., Chu, H., Moore, G., Novick, K.A., Barnes, M.L., Keenan, T.F., Mallick, K., Luo, X., Missik, J., Delwiche, K.B., Nelson, J., Good, S., Xiao, X., Kannenberg, S., Ahmadi, A., Wang, T., Bohrer, G., Litvak, M., Reed, D., Oishi, A., Torn, M.S., and Baldocchi, D., 2024, Challenges and future directions in quantifying terrestrial evapotranspiration: Water Resources Research, v. 60, no. 10, e2024WR037622, 12 p., https://doi.org/10.1029/2024WR037622.","productDescription":"e2024WR037622, 12 p.","ipdsId":"IP-173029","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":466872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr037622","text":"Publisher Index Page"},{"id":466626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Yi, K.","contributorId":223703,"corporation":false,"usgs":false,"family":"Yi","given":"K.","email":"","affiliations":[],"preferred":false,"id":924061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":924062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Jousha B.","contributorId":349151,"corporation":false,"usgs":false,"family":"Fisher","given":"Jousha B.","affiliations":[{"id":83441,"text":"Schmid College of Science and Technology, Chapman University","active":true,"usgs":false}],"preferred":false,"id":924063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Lixin","contributorId":300466,"corporation":false,"usgs":false,"family":"Wang","given":"Lixin","affiliations":[{"id":65165,"text":"Department of Earth Sciences, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.","active":true,"usgs":false}],"preferred":false,"id":924064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suvocarev, Kosana","contributorId":196381,"corporation":false,"usgs":false,"family":"Suvocarev","given":"Kosana","email":"","affiliations":[],"preferred":false,"id":924065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chu, Housen","contributorId":330059,"corporation":false,"usgs":false,"family":"Chu","given":"Housen","affiliations":[{"id":78784,"text":"Lawrence Berkeley National Lab, Berkeley, CA 94702, USA","active":true,"usgs":false}],"preferred":false,"id":924066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Georgianne W.","contributorId":349152,"corporation":false,"usgs":false,"family":"Moore","given":"Georgianne W.","affiliations":[{"id":48171,"text":"Department of Biology, Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":924067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Novick, Kimberly A.","contributorId":196379,"corporation":false,"usgs":false,"family":"Novick","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":924068,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barnes, Mallory L.","contributorId":239670,"corporation":false,"usgs":false,"family":"Barnes","given":"Mallory","email":"","middleInitial":"L.","affiliations":[{"id":39756,"text":"School of Public and Environmental Affairs, Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":924069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Keenan, Trevor F. 0000-0002-3347-0258","orcid":"https://orcid.org/0000-0002-3347-0258","contributorId":217397,"corporation":false,"usgs":false,"family":"Keenan","given":"Trevor","email":"","middleInitial":"F.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":924070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mallick, Kanishka","contributorId":345844,"corporation":false,"usgs":false,"family":"Mallick","given":"Kanishka","email":"","affiliations":[{"id":82729,"text":"Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":924071,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Luo, Xiangzhong","contributorId":349153,"corporation":false,"usgs":false,"family":"Luo","given":"Xiangzhong","affiliations":[{"id":83444,"text":"Department of Geography, National University of Singapore, Singapore","active":true,"usgs":false}],"preferred":false,"id":924072,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Missik, Justine E.C.","contributorId":349154,"corporation":false,"usgs":false,"family":"Missik","given":"Justine E.C.","affiliations":[{"id":83445,"text":"Department of Civil, Environmental and Geodetic Engineering, Ohio State University","active":true,"usgs":false}],"preferred":false,"id":924073,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Delwiche, Kyle 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OR","active":true,"usgs":false}],"preferred":false,"id":924076,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Xiao, Xiangming","contributorId":150759,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","affiliations":[{"id":18095,"text":"Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":924077,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Kannenberg, Steven A.","contributorId":349157,"corporation":false,"usgs":false,"family":"Kannenberg","given":"Steven A.","affiliations":[{"id":83448,"text":"Department of Biology, West Virginia University, Morgantown","active":true,"usgs":false}],"preferred":false,"id":924078,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ahmadi, Arman","contributorId":349158,"corporation":false,"usgs":false,"family":"Ahmadi","given":"Arman","affiliations":[{"id":83449,"text":"Department ERIN, Luxembourg Institute of Science and Technology, Luxembourg","active":true,"usgs":false}],"preferred":false,"id":924079,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wang, Tianxin","contributorId":333378,"corporation":false,"usgs":false,"family":"Wang","given":"Tianxin","email":"","affiliations":[{"id":79858,"text":"Unversity of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":924080,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Bohrer, Gil 0000-0002-9209-9540","orcid":"https://orcid.org/0000-0002-9209-9540","contributorId":217401,"corporation":false,"usgs":false,"family":"Bohrer","given":"Gil","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":924081,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Litvak, Marcy E.","contributorId":349159,"corporation":false,"usgs":false,"family":"Litvak","given":"Marcy E.","affiliations":[{"id":83450,"text":"Department of Biology, The University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":924082,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Reed, David E.","contributorId":349160,"corporation":false,"usgs":false,"family":"Reed","given":"David E.","affiliations":[{"id":83451,"text":"School of the Environment, Yale University, New Haven","active":true,"usgs":false}],"preferred":false,"id":924083,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Oishi, A. Christopher","contributorId":349161,"corporation":false,"usgs":false,"family":"Oishi","given":"A. 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,{"id":70259727,"text":"70259727 - 2024 - Dynamic water-quality responses to wildfire in Colorado","interactions":[],"lastModifiedDate":"2024-10-22T11:51:41.183141","indexId":"70259727","displayToPublicDate":"2024-10-08T06:48:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic water-quality responses to wildfire in Colorado","docAbstract":"In 2020, Colorado experienced the most severe wildfire season in recorded history, with wildfires burning 625 357 acres across the state. Two of the largest fires burned parts of Rocky Mountain National Park (RMNP), and a study was initiated to address concerns about potential effects on drinking water quality from mobilization of ash and sediment. The study took advantage of a wealth of pre-fire data from adjacent burned and unburned basins in western RMNP. Pre- and post-fire data collection included discrete sample collection and high-frequency water-quality measurements using in-stream sensors. Kruskal–Wallis tests on discrete data indicated that specific conductance, base cations, sulphate, chloride, nitrate, and total dissolved nitrogen concentrations increased post-fire, whereas silica and dissolved organic carbon (DOC) did not (p ≤ 0.05). In-stream sensors captured large spikes in concentrations of nutrients, turbidity, and DOC in the burned basin that were missed by discrete sampling. Sensor data indicated nitrate and turbidity increased by up to one and two orders of magnitude, respectively, from pre-event concentrations during storms, and DOC increased up to 3.5×. Empirical regression equations were developed using pre-fire data and applied to the post-fire period to estimate expected stream chemistry in the absence of fire (a ‘no-fire’ scenario). Overlays of actual post-fire chemistry showed the timing and magnitude of differences between observed and ‘estimated’ chemistry. For most solutes, observed post-fire concentrations were notably greater than expected under the ‘no-fire’ scenario, and differences were greatest during storm events. Comparison of data from the burned and unburned basins indicated DOC concentrations were affected by climate as well as fire. Results from this study demonstrate the importance of both pre-fire data and high-frequency data for characterizing dynamic hydrochemical responses in wildfire-affected areas.
One Health aims to achieve optimal health outcomes for people, animals, plants, and shared environments. We describe a multisector effort to understand and mitigate SARS-CoV-2 transmission risk to humans via the spread among and between captive and wild white-tailed deer. We first framed a One Health problem with three governance sectors that manage captive deer, wild deer populations, and public health. The problem framing included identifying fundamental objectives, causal chains for transmission, and management actions. We then developed a dynamic model that linked deer herds and simulated SARS-CoV-2. Next, we evaluated management alternatives for their ability to reduce SARS-CoV-2 spread in white-tailed deer. We found that single-sector alternatives reduced transmission, but that the best-performing alternative required collaborative actions among wildlife management, agricultural management, and public health agencies. Here, we show quantitative support that One Health actions outperform single-sector responses, but may depend on coordination to track changes in this evolving system.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-52737-0","usgsCitation":"Cook, J.D., Rosenblatt, E., DiRenzo, G.V., Campbell Grant, E.H., Mosher, B., Arce, F., Christensen, S., Ghai, R.R., and Runge, M.C., 2024, One Health collaboration is more effective than single-sector actions at mitigating SARS-CoV-2 in deer: Nature Communications, v. 15, 8677, 8 p., https://doi.org/10.1038/s41467-024-52737-0.","productDescription":"8677, 8 p.","ipdsId":"IP-156865","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":460219,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41467-024-52737-0","text":"External Repository"},{"id":465489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2024-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":909909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenblatt, Elias","contributorId":342124,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":909910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":909912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mosher, Brittany A.","contributorId":342963,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":909913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arce, Fernando","contributorId":342247,"corporation":false,"usgs":false,"family":"Arce","given":"Fernando","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":909914,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, Sonja","contributorId":171608,"corporation":false,"usgs":false,"family":"Christensen","given":"Sonja","email":"","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":909915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ghai, Ria R.","contributorId":252886,"corporation":false,"usgs":false,"family":"Ghai","given":"Ria","email":"","middleInitial":"R.","affiliations":[{"id":50460,"text":"U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States (","active":true,"usgs":false}],"preferred":false,"id":909916,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909917,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267403,"text":"70267403 - 2024 - Historical insights, current challenges: Tracking marine biodiversity in an urban harbor ecosystem in the face of climate change","interactions":[],"lastModifiedDate":"2025-05-23T15:55:37.313752","indexId":"70267403","displayToPublicDate":"2024-10-07T10:49:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21646,"text":"Marine Biodiversity","active":true,"publicationSubtype":{"id":10}},"title":"Historical insights, current challenges: Tracking marine biodiversity in an urban harbor ecosystem in the face of climate change","docAbstract":"The Boston Harbor Islands is the only coastal drumlin archipelago in the USA, featuring a distinctive and uncommon geological intertidal habitat known as mixed coarse substrate, which supports a range of coastal species and ecological processes. Recently designated as one of America’s 11 most endangered historic places due to climate change impacts, coastal adaptation and restoration efforts are crucial to their preservation. Such efforts can benefit from historic and current knowledge of endemic and emergent biodiversity. To investigate broad trends in coastal biodiversity, we compiled an inventory of marine coastal macroalgae, macroinvertebrates, fish, mammals, and shorebirds observed in the harbor since 1861. Records span 159 years, consisting of 451 unique taxa from 19 phyla. Analysis of average taxonomic distinctness (AvTD) revealed increases in diversity towards the end of the twentieth and early twenty-first century, likely associated with improved water quality (dissolved oxygen; AvTD > 85, p = 0.01) due to harbor restoration in the 1980s. Macroinvertebrates comprised 50% of the records, making this the most diverse taxonomic group in the time series. A significant increase of non-indigenous species, primarily macroinvertebrates and macroalgae, was observed over the last 20 years near human infrastructure and across multiple islands, a consequence of global change and characteristic of most urban harbors. The mixed coarse intertidal habitat, which makes up > 70% of Boston Harbor’s inner islands and supports high macroinvertebrate and macroalgal diversity (47% of species records), is not routinely monitored; our findings serve as a foundational resource for climate adaptation projects and decision-making.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12526-024-01462-4","usgsCitation":"Putnam, A., Endyke, S.C., Jones, A., Lockwood, L., Taylor, J., Albert, M., and Staudinger, M., 2024, Historical insights, current challenges: Tracking marine biodiversity in an urban harbor ecosystem in the face of climate change: Marine Biodiversity, v. 54, 78, 19 p., https://doi.org/10.1007/s12526-024-01462-4.","productDescription":"78, 19 p.","ipdsId":"IP-165901","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12526-024-01462-4","text":"Publisher Index Page"},{"id":486520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Boston Harbor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.06841368855036,\n 42.367993628173906\n ],\n [\n -71.06841368855036,\n 42.24541634591702\n ],\n [\n -70.85625966758792,\n 42.24541634591702\n ],\n [\n -70.85625966758792,\n 42.367993628173906\n ],\n [\n -71.06841368855036,\n 42.367993628173906\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Putnam, Alysha B.","contributorId":336857,"corporation":false,"usgs":false,"family":"Putnam","given":"Alysha B.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":938102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Endyke, Sarah C.","contributorId":335365,"corporation":false,"usgs":false,"family":"Endyke","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":938103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Ally Rose 0009-0009-3686-1623","orcid":"https://orcid.org/0009-0009-3686-1623","contributorId":336861,"corporation":false,"usgs":true,"family":"Jones","given":"Ally Rose","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":938104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockwood, Lucy A.D. 0000-0002-7162-3198","orcid":"https://orcid.org/0000-0002-7162-3198","contributorId":352258,"corporation":false,"usgs":false,"family":"Lockwood","given":"Lucy A.D.","affiliations":[{"id":63571,"text":"University of Massachusetts Boston","active":true,"usgs":false}],"preferred":false,"id":938105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Justin","contributorId":336859,"corporation":false,"usgs":false,"family":"Taylor","given":"Justin","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":938106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albert, Marc","contributorId":335163,"corporation":false,"usgs":false,"family":"Albert","given":"Marc","email":"","affiliations":[],"preferred":false,"id":938107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":938108,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259463,"text":"70259463 - 2024 - One Health best practice case study: Advancing national One Health coordination in the United States through the One Health zoonotic disease prioritization process","interactions":[],"lastModifiedDate":"2024-10-09T14:22:30.357956","indexId":"70259463","displayToPublicDate":"2024-10-07T09:15:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18743,"text":"One Health Cases","active":true,"publicationSubtype":{"id":10}},"title":"One Health best practice case study: Advancing national One Health coordination in the United States through the One Health zoonotic disease prioritization process","docAbstract":"The U.S. government advances One Health coordination through the best practices of jointly developing shared priorities and utilizing formalized coordination platforms to connect partners from public health, agriculture, wildlife, environment, and other sectors at the national, subnational (e.g. state, tribal, local, and territorial), and non-governmental levels (e.g. academia, industry, non-governmental organizations, and the public) levels. Coordinated efforts were strengthened through the U.S. One Health Zoonotic Disease Prioritization (OHZDP) workshop in 2017, which led to the prioritization of eight zoonotic diseases and development of next steps and action plans for One Health collaboration across federal agencies (Prioritizing Zoonotic Diseases for Multisectoral, One Health Collaboration in the United States, 2017). This One Health best practice was used to prioritize the top endemic and emerging zoonoses of greatest concern for the United States, identify gaps, and define plans for U.S. government One Health collaboration to address the priority zoonotic diseases. Multiple actions that strengthened One Health coordination were enacted, including establishing the One Health Federal Interagency COVID-19 Coordination (OH-FICC) group. To further advance One Health in the United States, Congress mandated that the U.S. Centers for Disease Control and Prevention, the Department of the Interior, and the U.S. Department of Agriculture collaborate to develop the National One Health Framework to Address Zoonotic Diseases and Advance Public Health Preparedness in the United States as well as formalize a One Health, multisectoral coordination mechanism, the United States One Health Coordination Unit at the federal level (Appropriations Committee Report, 2021; Consolidated Appropriations Act, 2023). Enhancing national level One Health coordination in the United States has also helped advance collaboration with subnational and non-governmental levels to address timely One Health issues.
","language":"English","publisher":"CABI","doi":"10.1079/onehealthcases.2024.0025","usgsCitation":"Behravesh, C., Dutcher, T., Sleeman, J.M., Rooney, J., Hopkins, M.C., Goryoka, G., Medford, R., Cristiano, D., and Wendling, N.M., 2024, One Health best practice case study: Advancing national One Health coordination in the United States through the One Health zoonotic disease prioritization process: One Health Cases, v. 2024, ohcs20240025, 7 p., https://doi.org/10.1079/onehealthcases.2024.0025.","productDescription":"ohcs20240025, 7 p.","ipdsId":"IP-154902","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":498264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1079/onehealthcases.2024.0025","text":"Publisher Index Page"},{"id":462741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","noUsgsAuthors":false,"publicationDate":"2024-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Behravesh, Casey Barton","contributorId":268194,"corporation":false,"usgs":false,"family":"Behravesh","given":"Casey Barton","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":915393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dutcher, Tracey","contributorId":345047,"corporation":false,"usgs":false,"family":"Dutcher","given":"Tracey","email":"","affiliations":[{"id":82468,"text":"US Department of Agriculture (USDA) Animal and Plant Health Inspection Service (APHIS),","active":true,"usgs":false}],"preferred":false,"id":915394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":915395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rooney, Jane","contributorId":345048,"corporation":false,"usgs":false,"family":"Rooney","given":"Jane","email":"","affiliations":[{"id":82468,"text":"US Department of Agriculture (USDA) Animal and Plant Health Inspection Service (APHIS),","active":true,"usgs":false}],"preferred":false,"id":915396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":206863,"corporation":false,"usgs":true,"family":"Hopkins","given":"M.","email":"","middleInitial":"Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":915397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goryoka, Grace","contributorId":345059,"corporation":false,"usgs":false,"family":"Goryoka","given":"Grace","email":"","affiliations":[],"preferred":false,"id":915456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Medford, Rochelle","contributorId":345049,"corporation":false,"usgs":false,"family":"Medford","given":"Rochelle","email":"","affiliations":[{"id":82470,"text":"US Centers for Disease Control and Prevention (CDC),","active":true,"usgs":false}],"preferred":false,"id":915398,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cristiano, Dominic","contributorId":345050,"corporation":false,"usgs":false,"family":"Cristiano","given":"Dominic","email":"","affiliations":[{"id":82470,"text":"US Centers for Disease Control and Prevention (CDC),","active":true,"usgs":false}],"preferred":false,"id":915399,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wendling, Natalie M.","contributorId":268191,"corporation":false,"usgs":false,"family":"Wendling","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":915400,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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