The Joint Agency Commercial Imagery Evaluation (JACIE) was formed to leverage resources from several Federal agencies for the characterization of remote sensing data and to share those results across the remote sensing community (U.S. Geological Survey, 2024).
Remote sensing data and the quality of that data are vital to (1) understanding the physical world and (2) supporting the science and engineering applications that strive to advance that understanding. The growing number of remotely sensed data sources offers users more choices. Understanding the characteristics and capabilities of current and new data sources, along with the quality of data they provide, is an important function of the multi-agency JACIE team. By performing data-quality analysis of civil and commercial remote sensing data and information products, the JACIE team provides the remote sensing community with awareness and independent verification of image data quality.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243038","usgsCitation":"Clauson, J., Anderson, C., Vrabel, J., 2024, Joint Agency Commercial Imagery Evaluation (JACIE): U.S. Geological Survey Fact Sheet 2024-3038, 2 p., https://doi.org/10.3133/fs20243038.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-170388","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3038/covrthb.jpg"},{"id":462704,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3038/fs20243038.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462705,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3038/fs20243038.xml"},{"id":462706,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3038/images"},{"id":462707,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243038/full"}],"contact":"USGS EROS Cal/Val Center of Excellence (ECCOE) Project Team
U.S. Geological Survey
Earth Resources Observation and Science
47914 252nd Street
Sioux Falls, SD 57198
Email: eccoe@usgs.gov
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 B.","contributorId":139866,"corporation":false,"usgs":false,"family":"Delwiche","given":"Kyle","email":"","middleInitial":"B.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":924074,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nelson, Jacob A.","contributorId":349155,"corporation":false,"usgs":false,"family":"Nelson","given":"Jacob A.","affiliations":[{"id":83446,"text":"Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany","active":true,"usgs":false}],"preferred":false,"id":924075,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Good, Stephen P.","contributorId":349156,"corporation":false,"usgs":false,"family":"Good","given":"Stephen P.","affiliations":[{"id":83447,"text":"Department of Biological and Ecological Engineering, Oregon State University, Corvallis, 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. Christopher","affiliations":[{"id":83452,"text":"U.S. Department of Agriculture Forest Service Southern Research Station, Coweeta Hydrologic Laboratory, NC, USA","active":true,"usgs":false}],"preferred":false,"id":924084,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Torn, Margaret S. 0000-0002-8174-0099","orcid":"https://orcid.org/0000-0002-8174-0099","contributorId":177740,"corporation":false,"usgs":false,"family":"Torn","given":"Margaret","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":924085,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":167495,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":924086,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70259631,"text":"70259631 - 2024 - Body size and early marine conditions drive changes in Chinook salmon productivity across northern latitude ecosystems","interactions":[],"lastModifiedDate":"2024-10-18T11:59:17.555913","indexId":"70259631","displayToPublicDate":"2024-10-08T06:57:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Body size and early marine conditions drive changes in Chinook salmon productivity across northern latitude ecosystems","docAbstract":"Disentangling the influences of climate change from other stressors affecting the population dynamics of aquatic species is particularly pressing for northern latitude ecosystems, where climate-driven warming is occurring faster than the global average. Chinook salmon (Oncorhynchus tshawytscha) in the Yukon-Kuskokwim (YK) region occupy the northern extent of their species' range and are experiencing prolonged declines in abundance resulting in fisheries closures and impacts to the well-being of Indigenous people and local communities. These declines have been associated with physical (e.g., temperature, streamflow) and biological (e.g., body size, competition) conditions, but uncertainty remains about the relative influence of these drivers on productivity across populations and how salmon–environment relationships vary across watersheds. To fill these knowledge gaps, we estimated the effects of marine and freshwater environmental indicators, body size, and indices of competition, on the productivity (adult returns-per-spawner) of 26 Chinook salmon populations in the YK region using a Bayesian hierarchical stock-recruitment model. Across most populations, productivity declined with smaller spawner body size and sea surface temperatures that were colder in the winter and warmer in the summer during the first year at sea. Decreased productivity was also associated with above average fall maximum daily streamflow, increased sea ice cover prior to juvenile outmigration, and abundance of marine competitors, but the strength of these effects varied among populations. Maximum daily stream temperature during spawning migration had a nonlinear relationship with productivity, with reduced productivity in years when temperatures exceeded thresholds in main stem rivers. These results demonstrate for the first time that well-documented declines in body size of YK Chinook salmon were associated with declining population productivity, while taking climate into account.
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.
Non-spatial models of competition between floating aquatic vegetation (FAV) and submersed aquatic vegetation (SAV) predict a stable state of pure SAV at low total available limiting nutrient level, N, a stable state of only FAV for high N, and alternative stable states for intermediate N, as described by an S-shaped bifurcation curve. Spatial models that include physical heterogeneity of the waterbody show that the sharp transitions between these states become smooth. We examined the effects of heterogeneous initial conditions of the vegetation types. We used a spatially explicit model to describe the competition between the vegetation types. In the model, the FAV, duckweed (L. gibba), competed with the SAV, Nuttall's waterweed (Elodea nuttallii). Differences in the initial establishment of the two macrophytes affected the possible stable equilibria. When initial biomasses of SAV and FAV differed but each had the same initial biomass in each spatial cell, the S-shaped bifurcation resulted, but the critical transitions on the N-axis are shifted, depending on FAV:SAV biomass ratio. When the initial biomasses of SAV and FAV were randomly heterogeneously distributed among cells, the vegetation pattern of the competing species self-organized spatially, such that many different stable states were possible in the intermediate N region. If N was gradually increased or decreased through time from a stable state, the abrupt transitions of non-spatial models were changed into smoother transitions through a series of stable states, which resembles the Busse balloon observed in other systems.
Designated in 1978, Kaloko-Honokōhau National Historical Park is located on the west coast of the Island of Hawaiʻi. The Kaloko-Honokōhau National Historical Park encompasses about 1,200 acres of coastal land and nearshore ecosystems, which include wetlands, anchialine pools (landlocked bodies of brackish water with hydrologic connections to the ocean), fishponds, a fishtrap, and coral reefs. These nearshore ecosystems are dependent on groundwater discharge with a freshwater component and provide habitat for threatened and endangered, endemic species, such as the orangeblack Hawaiian damselfly (Megalagrion xanthomelas) and the Hawaiian coot (ʻAlae keʻokeʻo, Fulica alai). The populations of these native species, however, are threatened because of habitat loss related to urban development and environmental changes. Kaloko-Honokōhau National Historical Park is within the Keauhou aquifer system and the North Kona District, which experienced a 52 percent resident-population increase between 2000 and 2020 and a 41 percent visitor increase between 2008 and 2019. To support the current water demand associated with this growing population, groundwater is the primary source of freshwater used in the North Kona District, with about 15 million gallons of groundwater withdrawn from the Keauhou aquifer system per day since 2009. With anticipated development, future (2015–35) groundwater withdrawal from the Keauhou aquifer system is projected to be about 55 percent greater than recent (2012–14) withdrawal. Because Kaloko-Honokōhau National Historical Park is located within a coastal aquifer, natural and human-induced changes can affect the quality and quantity of groundwater, which can threaten groundwater-dependent ecosystems.
To improve understanding of recent groundwater conditions, the U.S. Geological Survey, in cooperation with the National Park Service, undertook this study to document correlations between hydrologic time-series datasets from sites in and near Kaloko-Honokōhau National Historical Park using the nonparametric (distribution-free) Kendall’s tau statistical test.
For the statistical analyses, dependent variables representing the groundwater system include groundwater level, the groundwater-level difference between pairs of sites, and specific conductance, and independent variables include datasets of sea level, rainfall, and groundwater withdrawal. About 34 percent of the 140 non-time-lagged Kendall’s tau statistical tests evaluated in this report are statistically significant (p-value ≤ 0.050) with generally weak (0.1 ≤ tau ≤ 0.2) to moderate (0.2 ≤ tau ≤ 0.3) correlations. Groundwater levels measured at monitoring sites have the strongest correlation with the multivariate El Niño–Southern Oscillation index and withdrawal from production wells at the nearby Kohanaiki Private Club Community. Specific conductance is not consistently and significantly correlated with the independent hydrologic variables investigated in this report.
Because the relations between hydrologic variables are commonly not instantaneous, a second set of correlations was evaluated after applying a range of time lags to the independent variable datasets. Relative to the non-time-lagged case (the set of correlations that did not use time-lagged independent variables), some of the time-lagged independent variables improved correlations with some of the dependent variables. For a particular independent variable, similar time lags were expected between the independent variable and dependent variable at all four monitoring sites. However, different time lags among the four sites sometimes produced the strongest correlations.
This study identified several correlations that are statistically significant and hydrologically plausible, but the correlations could indicate that multiple concurrent factors are controlling the observed groundwater-system response, which might be better addressed using multivariate analyses. This study only investigates bivariate correlations, which may not explain all the variance in the data. The correlations analyzed in this report are limited by the quantity of available hydrologic data in the area near Kaloko-Honokōhau National Historical Park and are based on 14 years of time-series data, which were aggregated to a relatively coarse monthly temporal resolution that represents the minimum resolution common to all datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245084","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Okuhata, B.K., and Oki, D.S., 2024, Correlation analysis of groundwater and hydrologic data, Kaloko-Honokōhau National Historical Park, Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2024–5084, 38 p., https://doi.org/10.3133/sir20245084.","productDescription":"ix, 38 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-154287","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":462626,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5084/covrthb.jpg"},{"id":462627,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5084/sir20245084.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462628,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5084/sir20245084.xml"},{"id":462629,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5084/images"},{"id":462630,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245084/full"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.083351222759,\n 19.721737271204077\n ],\n [\n -156.083351222759,\n 19.65199485292854\n ],\n [\n -155.98955903724118,\n 19.65199485292854\n ],\n [\n -155.98955903724118,\n 19.721737271204077\n ],\n [\n -156.083351222759,\n 19.721737271204077\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
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":70261889,"text":"70261889 - 2024 - Distribution and trends of endemic Hawaiian waterbirds, 1986–2023","interactions":[],"lastModifiedDate":"2024-12-31T16:26:54.091554","indexId":"70261889","displayToPublicDate":"2024-10-07T10:19:20","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":138,"text":"Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-113","title":"Distribution and trends of endemic Hawaiian waterbirds, 1986–2023","docAbstract":"This study updates the status assessment of four endemic endangered Hawaiian waterbird species—ae‘o (Hawaiian stilt, Himantopus mexicanus knudseni), ‘alae ke‘oke‘o (Hawaiian coot, Fulica alai), ‘alae ‘ula (Hawaiian gallinule, Gallinula galeata sandvicensis), and koloa maoli (Hawaiian duck, Anas wyvilliana)—from 1986 to 2016 by incorporating new data from 2017–2023. State-space models, which account for biological and sampling variation, were fitted to estimate population sizes and trends from both core and non-core wetland survey sites. Long-term trends (1986–2023) largely show increasing populations for all four species, but recent short-term trajectories (2013–2023) are to a greater degree than previous analyses, predominantly negative, indicating accentuated declines in some island populations. Summer counts have declined relative to winter counts over the 38-year period, indicating potential changes in habitat availability and breeding patterns due to shifting rainfall patterns. Although negative trends were apparent in some non-core wetlands, our study underscores the importance of both core and non-core wetlands for waterbird populations.
","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Gorresen, P., Camp, R.J., and Paxton, E.H., 2024, Distribution and trends of endemic Hawaiian waterbirds, 1986–2023: Technical Report HCSU-113, iv, 36 p.","productDescription":"iv, 36 p.","ipdsId":"IP-170387","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":465560,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5396"},{"id":465574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorresen, P. Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":196628,"corporation":false,"usgs":false,"family":"Gorresen","given":"P. Marcos","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":922162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","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":922163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":922164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273898,"text":"70273898 - 2024 - An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer","interactions":[],"lastModifiedDate":"2026-02-12T16:14:52.444787","indexId":"70273898","displayToPublicDate":"2024-10-07T10:05:49","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":"An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer","docAbstract":"The Earth surface Mineral dust source InvesTigation (EMIT) is an imaging spectrometer launched to the International Space Station in July 2022 to measure the mineral composition of Earth’s dust-producing regions. We present a systematic accuracy assessment of the EMIT surface reflectance product in two parts. First, we characterize the surface reflectance product’s overall performance using multiple independent vicarious calibration field experiments with hand-held and automated field spectrometers. We find that the EMIT surface reflectance product has a standard error of ±1.0% in absolute reflectance units for temporally coincident observations. Discrepancies rise to ±2.7 % for spectra acquired at different dates and times of day, which we attribute mainly to changes in solar geometry. Second, we develop an error budget that explains the differences between EMIT and in-situ field spectrometer data. We find that uncertainties in spatial footprints, field spectroscopy, and the EMIT-reported measurement were sufficient to explain discrepancies in most cases. Our approach did not detect any systematic calibration or reflectance errors in the timespan considered. Together, these findings demonstrate that a space-based imaging spectrometer can acquire high-quality spectra across a wide range of observational and atmospheric conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114450","usgsCitation":"Coleman, R.W., Thompson, D.R., Brodrick, P.G., Ben-Dor, E., Cox, E., Perez Garcıa-Pando, C., Hoefen, T.M., Kokaly, R.F., Meyer, J.M., Ochoa, F., Okin, G.S., Pearlshtien, D.H., Swayze, G.A., and Green, R.O., 2024, An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer: Remote Sensing of Environment, v. 315, 114450, 10 p., https://doi.org/10.1016/j.rse.2024.114450.","productDescription":"114450, 10 p.","ipdsId":"IP-157064","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114450","text":"Publisher Index Page"},{"id":499810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Smith Creek Playa","volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coleman, Red Willow","contributorId":366345,"corporation":false,"usgs":false,"family":"Coleman","given":"Red","middleInitial":"Willow","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, David R.","contributorId":366346,"corporation":false,"usgs":false,"family":"Thompson","given":"David","middleInitial":"R.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodrick, Philip G.","contributorId":366347,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","middleInitial":"G.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ben-Dor, Eyal","contributorId":366217,"corporation":false,"usgs":false,"family":"Ben-Dor","given":"Eyal","affiliations":[{"id":87385,"text":"University of Tel Aviv, Tel Aviv, Israel","active":true,"usgs":false}],"preferred":false,"id":955682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, Evan 0000-0002-1434-7000","orcid":"https://orcid.org/0000-0002-1434-7000","contributorId":223068,"corporation":false,"usgs":true,"family":"Cox","given":"Evan","affiliations":[],"preferred":true,"id":955679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perez Garcıa-Pando, Carlos","contributorId":366242,"corporation":false,"usgs":false,"family":"Perez Garcıa-Pando","given":"Carlos","affiliations":[{"id":87400,"text":"Barcelona Supercomputing Center, Barcelona, Spain.","active":true,"usgs":false}],"preferred":false,"id":955684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955675,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meyer, John Michael 0000-0003-2810-9414","orcid":"https://orcid.org/0000-0003-2810-9414","contributorId":297062,"corporation":false,"usgs":true,"family":"Meyer","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955678,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ochoa, Francisco","contributorId":352606,"corporation":false,"usgs":false,"family":"Ochoa","given":"Francisco","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":955680,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Okin, Gregory S.","contributorId":366354,"corporation":false,"usgs":false,"family":"Okin","given":"Gregory","middleInitial":"S.","affiliations":[{"id":87398,"text":"University of California Los Angeles, Los Angeles, CA USA","active":true,"usgs":false}],"preferred":false,"id":955681,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pearlshtien, Daniela Heller","contributorId":366355,"corporation":false,"usgs":false,"family":"Pearlshtien","given":"Daniela","middleInitial":"Heller","affiliations":[{"id":87385,"text":"University of Tel Aviv, Tel Aviv, Israel","active":true,"usgs":false}],"preferred":false,"id":955683,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swayze, Gregg A. 0000-0002-1814-7823","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":239533,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955676,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Green, Robert O.","contributorId":366356,"corporation":false,"usgs":false,"family":"Green","given":"Robert","middleInitial":"O.","affiliations":[{"id":87384,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA.","active":true,"usgs":false}],"preferred":false,"id":955685,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70270828,"text":"70270828 - 2024 - Temperature-driven convergence and divergence of ecohydrological dynamics in the ecosystems of a sky island mountain range","interactions":[],"lastModifiedDate":"2025-08-25T15:00:00.72447","indexId":"70270828","displayToPublicDate":"2024-10-07T09:54:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Temperature-driven convergence and divergence of ecohydrological dynamics in the ecosystems of a sky island mountain range","docAbstract":"Forest and woodland decline is predicted to be increasingly influenced by meteorological variation and climate change in the future. By determining how meteorological variation leads to similar versus differing ecohydrological dynamics of forest and woodland ecosystems, we can gain insight on how future climate-driven declines may be realized. We characterized 23 mixed conifer forest (MC), ponderosa pine forest (PP) and piñon pine–juniper woodland (PJ) sites with different canopy covers in southern Nevada, USA. We compared meteorological variation between these sites and employed water balance modelling and information theory to estimate similarity in the density distributions of soil temperature (Ts), soil water potential (SWP) and transpiration partitioning into total evapotranspiration (T/ET) within and across ecosystems in wetter and drier seasons and in cooler and warmer decades. From 1941 to 2020, this location experienced declines in meteorological water deficit due to higher precipitation, although temperatures increased over more recent time periods (1981–2020). From 1981 to 2020, we generally found greater similarity in SWP and T/ET distributions within MC sites and PP sites in the cool season and in the warm season generally found greater similarity in Ts and T/ET distributions within and between PP and PJ sites (excepting T/ET between PJ sites and higher canopy cover PP sites). Recent warm decades promoted convergence in warm and cool season Ts dynamics, such that Ts dynamics generally became more similar between higher elevation MC sites and lower elevation PP–PJ sites. At the same time, warmer decades initiated divergence of SWP and T/ET dynamics within groups of MC–PP and PP–PJ sites that were formerly more similar to each other (excepting SWP in wet seasons). Although their dynamics will remain strongly coupled to precipitation, warming temperatures have the potential to promote divergence in the ecohydrological dynamics of ecosystems at lower and higher elevations in this sky island system and may also promote novel within-ecosystem divergence associated with variation in vegetation structural attributes.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2703","usgsCitation":"Petrie, M., Bradford, J.B., and Schlaepfer, D.R., 2024, Temperature-driven convergence and divergence of ecohydrological dynamics in the ecosystems of a sky island mountain range: Ecohydrology, v. 17, no. 7, e2703, 20 p., https://doi.org/10.1002/eco.2703.","productDescription":"e2703, 20 p.","ipdsId":"IP-164379","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":494739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.95435956484613,\n 36.566365259428736\n ],\n [\n -115.95435956484613,\n 36.25503150669982\n ],\n [\n -115.03667455367618,\n 36.34361887573249\n ],\n [\n -115.04986536016149,\n 36.59813625773428\n ],\n [\n -115.95435956484613,\n 36.566365259428736\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Petrie, M.D.","contributorId":192983,"corporation":false,"usgs":false,"family":"Petrie","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":947152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947154,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261247,"text":"70261247 - 2024 - Factors affecting the density of Metabetaeus lohena (Decapoda: Alpheidae) at a high-density anchialine pool environment on the Kona Coast of the Island of Hawai‘i","interactions":[],"lastModifiedDate":"2024-12-03T15:41:40.773375","indexId":"70261247","displayToPublicDate":"2024-10-07T09:34:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Factors affecting the density of Metabetaeus lohena (Decapoda: Alpheidae) at a high-density anchialine pool environment on the Kona Coast of the Island of Hawai‘i","title":"Factors affecting the density of Metabetaeus lohena (Decapoda: Alpheidae) at a high-density anchialine pool environment on the Kona Coast of the Island of Hawai‘i","docAbstract":"Caridean shrimps (Caridea) are the dominant macroinvertebrates in most anchialine ecosystems. Hawaiian anchialine ecosystems, primarily composed of shallow surface pools connected to the ocean via hypogeal networks of cracks, tubes, and other voids, support 10 caridean shrimp species, including two federally listed as endangered. Little is known about most of these species. The objective of this study was to identify factors that affect the abundance and distribution of Metabetaeus lohena (Alpheidae), an uncommon species found across the Hawaiian Archipelago, at Kaloko-Honokōhau National Historical Park, Island of Hawai‘i. This park supports the highest concentration of anchialine pools in the State of Hawai‘i and is critical to protecting this threatened ecosystem. During 2017, we measured the density of M. lohena during nighttime surveys, as well as a variety of other biological, physical, and chemical parameters, in 130 pools. Metabetaeus lohena occupied 71.5% of the pools surveyed, with a mean density of 7.32 individuals/m2 (95% CI = 5.14–9.49). Invasive fish and the endemic shrimp Halocaridina rubra (Atyidae) had the strongest effects on M. lohena density, with negative and positive relations, respectively. In the first estimate of M. lohena density at this scale, our data indicate that Kaloko-Honokōhau supports about 11,480 shrimp (95% CI = 8,054–14,906) in the pools surveyed. Furthermore, our models predict that this park could support an additional 1,695 individuals (95% CI = 955–3,008) for a population of about 13,175 shrimp if fish were removed from 19 pools in which M. lohena are absent.
","language":"English","publisher":"University of Hawai‘i Press","doi":"10.2984/78.1.3","usgsCitation":"Peck, R., Nash, S., and Camp, R.J., 2024, Factors affecting the density of Metabetaeus lohena (Decapoda: Alpheidae) at a high-density anchialine pool environment on the Kona Coast of the Island of Hawai‘i: Pacific Science, v. 78, no. 1, p. 31-50, https://doi.org/10.2984/78.1.3.","productDescription":"20 p.","startPage":"31","endPage":"50","ipdsId":"IP-158801","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":464700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kona Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.05239248373394,\n 19.71137367174458\n ],\n [\n -156.04044158152044,\n 19.60032938069341\n ],\n [\n -155.96873616824,\n 19.60032938069341\n ],\n [\n -155.9767034363823,\n 19.712874064167337\n ],\n [\n -156.05239248373394,\n 19.71137367174458\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":920103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, Sarah","contributorId":300993,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":920104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":920105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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}]}} ,{"id":70259505,"text":"70259505 - 2024 - Multiple plant-community traits improve predictions of later-stage outcomes of restoration drill seedings: Implications for metrics of success","interactions":[],"lastModifiedDate":"2024-10-10T12:17:00.871191","indexId":"70259505","displayToPublicDate":"2024-10-07T07:14:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Multiple plant-community traits improve predictions of later-stage outcomes of restoration drill seedings: Implications for metrics of success","docAbstract":"The challenge of selecting strategies to adapt to climate change is complicated by the presence of irreducible uncertainties regarding future conditions. Decisions regarding long-term investments in conservation actions contain significant risk of failure due to these inherent uncertainties. To address this challenge, decision makers need an arsenal of sophisticated but practical tools to help guide spatial conservation strategies. Theory asserts that managing risks can be achieved by diversifying an investment portfolio to include assets – such as stocks and bonds – that respond inversely to one another under a given set of conditions. We demonstrate an approach for formalizing the diversification of conservation assets (land parcels) and actions (restoration, species reintroductions) by using correlation structure to quantify the degree of risk for any proposed management investment. We illustrate a framework for identifying future habitat refugia by integrating species distribution modeling, scenarios of climate change and sea level rise, and impacts to critical habitat. Using the plains coqui (Eleutherodactylus juanariveroi), an endangered amphibian known from only three small wetland populations on Puerto Rico’s coastal plains, we evaluate the distribution of potential refugia under two model parameterizations and four future sea-level rise scenarios. We then apply portfolio theory using two distinct objective functions and eight budget levels to inform investment strategies for mitigating risk and increasing species persistence probability. Models project scenario-specific declines in coastal freshwater wetlands from 2% to nearly 30% and concurrent expansions of transitional marsh and estuarine open water. Conditional on the scenario, island-wide species distribution is predicted to contract by 25% to 90%. Optimal portfolios under the first objective function – benefit maximization – emphasizes translocating frogs to existing protected areas rather than investing in the protection of new habitat. Alternatively, optimal strategies using the second objective function – a risk-benefit tradeoff framework – include significant investment to protect parcels for the purpose of reintroduction or establishing new populations. These findings suggest that leveraging existing protected areas for species persistence, while less costly, may contain excessive risk and could result in diminished conservation benefits. Although our modeling includes numerous assumptions and simplifications, we believe this framework provides useful inference for exploring resource dynamics and developing robust adaptation strategies using an approach that is generalizable to other conservation problems which are spatial or portfolio in nature and subject to unresolvable uncertainty.
The Diablotin or Black-capped Petrel Pterodroma hasitata is an endangered gadfly petrel found in the western North Atlantic, Caribbean Sea, and northern Gulf of Mexico. An estimated ~2000 pairs nest at five known sites on Hispaniola, Greater Antilles, although only 120 nests have been located to date. We collected breast feathers and feces from breeding adults in the Dominican Republic in April 2018 (n = 10) and from non-breeding adults at sea offshore of North Carolina, USA, in May 2019 (n = 10). We measured mercury burden in feathers and used fecal DNA metabarcoding to compare diets. We found higher concentrations of total mercury compared to other Pterodroma petrels worldwide, with mean concentrations of 30.3 ± 11.1 ppm dry weight (range: 15.2-53.9; n = 20). Diet was dominated by fish, including a high proportion of mesopelagic groups such as myctophids, as well as fishes of interest to artisanal and commercial Caribbean fisheries. These results confirm earlier suggestions of elevated ingestion of mercury by Black-capped Petrels, likely through the consumption of mesopelagic prey or fishery discards.
","language":"English","publisher":"Marine Ornithology","doi":"10.5038/2074-1235.52.2.1591","usgsCitation":"Satgé, Y., Janssen, S., Clucas, G., Rupp, E., Patteson, J., and Jodice, P.G., 2024, Mesopelagic diet as pathway of high mercury levels in body feathers of the endangered Black-capped Petrel (Diablotin) Pterodroma hasitata: Marine Ornithology: Journal of Seabird Research and Conservation, v. 52, p. 261-274, https://doi.org/10.5038/2074-1235.52.2.1591.","productDescription":"14 p.","startPage":"261","endPage":"274","ipdsId":"IP-159397","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":492514,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5038/2074-1235.52.2.1591","text":"Publisher Index Page"},{"id":482331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean, Caribbean Sea, Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.85614018343568,\n 30.868852623472733\n ],\n [\n -79.6678623743661,\n 25.15645536903415\n ],\n [\n -81.65389037877358,\n 24.480021048716367\n ],\n [\n -83.98113888145016,\n 29.031642718000043\n ],\n [\n -87.63814349840831,\n 30.332106783896478\n ],\n [\n -89.82626675912255,\n 28.793270541663773\n ],\n [\n -95.06959800481584,\n 28.80802933997856\n ],\n [\n -96.5273104448348,\n 27.749329869964072\n ],\n [\n -87.52183239103337,\n 24.508530561039734\n ],\n [\n -83.42071238773288,\n 17.87306675115049\n ],\n [\n -80.52240444731135,\n 11.953491332497876\n ],\n [\n -73.73798923439665,\n 12.249581635572113\n ],\n [\n -69.07525818447907,\n 13.232114774249197\n ],\n [\n -66.2428121317173,\n 11.389115462267526\n ],\n [\n -59.6344044970472,\n 10.781163118334064\n ],\n [\n -55.64629221624351,\n 7.254409530353627\n ],\n [\n -41.37879426486856,\n 18.47665495931865\n ],\n [\n -44.045416150918754,\n 28.72557192987273\n ],\n [\n -26.03316834393641,\n 40.1886148253426\n ],\n [\n -28.63594383515914,\n 53.43268371792192\n ],\n [\n -57.840708740957666,\n 45.76022973767101\n ],\n [\n -69.23323800339587,\n 42.964973356193155\n ],\n [\n -74.63448281925301,\n 36.7158140934452\n ],\n [\n -76.11236620430023,\n 33.6425600461277\n ],\n [\n -80.85614018343568,\n 30.868852623472733\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":351094,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":927896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":927897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clucas, Gemma","contributorId":351095,"corporation":false,"usgs":false,"family":"Clucas","given":"Gemma","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":927898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rupp, Ernst","contributorId":351096,"corporation":false,"usgs":false,"family":"Rupp","given":"Ernst","affiliations":[{"id":83918,"text":"Grupo Jaragua Inc","active":true,"usgs":false}],"preferred":false,"id":927899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patteson, J. Brian","contributorId":351097,"corporation":false,"usgs":false,"family":"Patteson","given":"J. Brian","affiliations":[{"id":83919,"text":"Seabirding Pelagic Trips","active":true,"usgs":false}],"preferred":false,"id":927900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927901,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261005,"text":"70261005 - 2024 - Shaping the coast: Accounting for the human wildcard in projections of future change","interactions":[],"lastModifiedDate":"2024-11-20T16:07:07.700326","indexId":"70261005","displayToPublicDate":"2024-10-05T09:03:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Shaping the coast: Accounting for the human wildcard in projections of future change","docAbstract":"Coastal change and evolution are the product of physical drivers (e.g., waves) tightly coupled with human behavior. As climate change impacts intensify, demand is increasing for information on where, when, and how coastal areas may change in the future. Although considerable research investments have been made in understanding the physical drivers and processes that modify and shape coastal environments, many do not account for human behavior, compromising the accuracy of comprehensive future change predictions. We outline four social science approaches—historic case studies, simulations, longitudinal studies, and longitudinal studies supported by experimental data—that can be coupled with physical change information to support transdisciplinary understanding of future change. A fundamental need for each approach is more and better empirical data to better gauge human behavior. In addition, foundational investments in transdisciplinary collaboration help research teams support the integration of these approaches.","language":"English","publisher":"Wiley","doi":"10.1029/2024EF004504","usgsCitation":"Lentz, E.E., Wong-Parodi, G., Zeigler, S., Collini, R.C., Palmsten, M.L., and Passeri, D., 2024, Shaping the coast: Accounting for the human wildcard in projections of future change: Earth's Future, v. 12, no. 10, e2024EF004504, 8 p., https://doi.org/10.1029/2024EF004504.","productDescription":"e2024EF004504, 8 p.","ipdsId":"IP-162028","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef004504","text":"Publisher Index Page"},{"id":464346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wong-Parodi, Gabrielle","contributorId":303848,"corporation":false,"usgs":false,"family":"Wong-Parodi","given":"Gabrielle","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":918875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Sara 0000-0002-5472-769X","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":222703,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collini, Renee C.","contributorId":195567,"corporation":false,"usgs":false,"family":"Collini","given":"Renee","email":"","middleInitial":"C.","affiliations":[{"id":34311,"text":"Northern Gulf of Mexico Sentinel Site Cooperative, Dauphin Island, AL, USA","active":true,"usgs":false}],"preferred":false,"id":918877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259422,"text":"70259422 - 2024 - Predicting characteristic length scales of barrier island segmentation in microtidal environments","interactions":[],"lastModifiedDate":"2024-10-08T11:41:41.240056","indexId":"70259422","displayToPublicDate":"2024-10-05T06:38:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Predicting characteristic length scales of barrier island segmentation in microtidal environments","docAbstract":"Segmented barrier islands can be found in regions with small tidal ranges. In contrast to tidally dominated barriers, where inlet dynamics are thought to control island length scales, the controls on barrier island length scales in wave-dominated environments have not been quantified. These microtidal barriers typically have a curved shoreline, suggesting the influence of wave-driven alongshore sediment transport. Microtidal barriers are also typically hydrodynamically isolated from one another, as weak tidal flows limit interactions between adjoining barriers. To better understand the controls on and scales of barrier segmentation in the relative absence of tides, here we develop a theoretical framework to estimate the alongshore length scales at which a barrier will either breach or heal following a disturbance in the barrier morphology. The non-dimensional framework compares the timescales of overwash (advective) and alongshore sediment transport (diffusive) processes along barrier island chains. We then apply this framework to modern barrier islands in the microtidal Gulf of Mexico using wave hindcast data and the lengths, widths, heights, and lagoon depths measured from remotely sensed geospatial data and topobathymetric data. We find that most of these barriers are currently longer than their critical length scale, often as a result of coastal restoration efforts. Our critical length scale analysis suggests that most of the Gulf of Mexico barriers are vulnerable to segmentation despite coastal restoration efforts intended to protect fisheries and the mainland coasts.
As part of a cooperative investigation between the U.S. Geological Survey and the Alabama Department of Agriculture and Industries, a network of 22 groundwater wells were sampled from 2014 through 2020 for about 230 pesticide and pesticide degradate compounds. Wells were located in three regions of intensive agricultural land use in Alabama: Baldwin County, the Wiregrass region, and the Tennessee River valley region.
Metolachlor sulfonic acid, a degradate of the herbicide metolachlor, was the most frequently detected compound, occurring in about 70 percent of the samples. Three other compounds, metolachlor, atrazine, and 2-chloro-4-isopropylamino-6-amino-s-triazine, were also detected in more than half of the samples. Metolachlor and its degradates accounted for 33 of the 50 greatest compound concentrations study-wide, including the maximum pesticide concentration across all compounds (62,500 nanograms per liter). The frequency and magnitude of detections of many specific pesticide compounds varied among the three regions, but all detected pesticide concentrations were well below the U.S. Environmental Protection Agency maximum contaminant levels and applicable human health benchmarks.
Sample results were combined with results of previous (2009–13) sampling to provide a continuous time-series of data for 2009–20. More than half of the 289 pesticide compounds analyzed during 2009–20 were not detected in any samples. Only four compounds were detected at great enough frequency throughout the 10 sampling years to evaluate patterns of change through time. Metolachlor and its degradate, metolachlor sulfonic acid, were frequently detected in all regions. Atrazine and its degradate, 2-chloro-4-isopropylamino-6-amino-s-triazine, were also detected in wells from all regions, but the variability and magnitude of concentrations were greatest in the Tennessee River valley region. No apparent temporal pattern in concentrations was found.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245069","issn":"2328-0328","collaboration":"Prepared in cooperation with the Alabama Department of Agriculture and Industries","usgsCitation":"Gill, A.C., 2024, Pesticide occurrence in shallow groundwater in three regions of agricultural land use: Baldwin County, the Wiregrass region, and the Tennessee River valley region of Alabama, 2009–20: U.S. Geological Survey Scientific Investigations Report 2024–5069, 50 p., https://doi.org/10.3133/sir20245069.","productDescription":"Report: viii, 50 p.; 2 Data Releases","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-124243","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":499053,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117645.htm","text":"Baldwin County and Wiregrass region region","linkFileType":{"id":5,"text":"html"}},{"id":462612,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS NWIS Data Release","linkHelpText":"- USGS water data for the Nation"},{"id":462618,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245069/full","description":"SIR 2024-5069 HTML"},{"id":462609,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5069/sir20245069.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5069 XML"},{"id":462608,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5069/sir20245069.pdf","size":"5.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5069"},{"id":462607,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5069/images"},{"id":462606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5069/coverthb.jpg"},{"id":499052,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117644.htm","text":"Tennessee Valley region","linkFileType":{"id":5,"text":"html"}},{"id":462611,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96OOHNZ","text":"USGS Data Release","linkHelpText":"- Pesticide concentration and related water-quality data for selected groundwater sites near areas of agricultural land use in Alabama, 2009–2020"}],"country":"United States","state":"Alabama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.23168853448631,\n 30.191218364802225\n ],\n [\n -87.23168853448631,\n 31.202019682928764\n ],\n [\n -88.02270415948634,\n 31.202019682928764\n ],\n [\n -88.02270415948634,\n 30.191218364802225\n ],\n [\n -87.23168853448631,\n 30.191218364802225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.69335845636155,\n 31.032720603772802\n ],\n [\n -85.0234365813612,\n 31.032720603772802\n ],\n [\n -85.0234365813612,\n 32.11842944019466\n ],\n [\n -86.69335845636155,\n 32.11842944019466\n ],\n [\n -86.69335845636155,\n 31.032720603772802\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.28675227176826,\n 35.04758320679862\n ],\n [\n -88.28675227176826,\n 34.115944393543984\n ],\n [\n -86.59485774051834,\n 34.115944393543984\n ],\n [\n -86.59485774051834,\n 35.04758320679862\n ],\n [\n -88.28675227176826,\n 35.04758320679862\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The National Volcano Early Warning System (NVEWS) was authorized and partially funded by the U.S. Government in 2019. In response, the U.S. Geological Survey (USGS) Volcano Hazards Program asked its scientists to reflect on and summarize their views of best practices for volcano monitoring. The goal was to review and update the recommendations of a previous report (Moran and others, 2008) and to provide a more detailed analysis of capabilities and instrumentation for monitoring networks for U.S. volcanoes. This Scientific Investigations Report and its chapters reflect those USGS scientists’ views and summaries and will serve as a guide for future network upgrades funded through NVEWS.
Given the well-documented hazards posed by volcanoes to population centers and aviation (for example, Blong, 1984; Scott, 1989; Neal and others, 1997, 2019; Guffanti and others, 2010; Shroder and Papale, 2014; Prata and Rose, 2015; Palmer, 2020), volcano monitoring is critical for ensuring public safety and for mitigating the impacts of volcanic activity. Accurate and timely forecasts are facilitated by well-designed monitoring networks that are in place long enough to allow for background behavior to be recognized and understood. Because precursory signals may be limited and unrest may progress rapidly to an eruption, our goal is to deploy monitoring systems that enable detection of the reactivation of dormant volcanoes as early as possible, allowing for public safety and risk mitigation. NVEWS planning is also informed by the results of Ewert and others (2005, 2018), whereby 161 U.S. volcanoes are currently categorized and ranked commensurate with their relative threat.
In each chapter, author(s) considered the need for some redundancy of instrumentation and telemetry, given the likelihood of occasional equipment failure, particularly in extreme and remote environments. Establishing digital telemetry networks requires advanced planning, sighting, radio-shot testing, and, inevitably, troubleshooting in the field. This is harder to achieve rapidly during a crisis; thus, an important goal for monitoring U.S. volcanoes is to establish digital telemetry backbones with redundancy and extra capacity to absorb additional instruments should a volcano begin to exhibit signs of unrest (fig. A1). The National Telecommunications and Information Administration (NTIA) imposed new regulations in the United States, eliminating the use of older analog radios for many purposes, which had been one previous means for redundant data delivery. However, the resulting conversion from analog to digital systems usefully enables stations to accommodate new and multivariate real-time data streams (for example, Global Navigation Satellite System [GNSS] receivers, infrasound arrays, gas spectrometers, visible and infrared cameras, and broadband seismometers).
We note that other USGS and broader national and international hazard programs can leverage NVEWS instrumentation plans. Examples of this include the following:
Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
Changes in the pressure or location of magma can stress or break surrounding rocks and trigger flow of nearby waters and gases, causing seismic signals, such as discrete earthquakes and tremor. These phenomena are types of seismic unrest that commonly precede eruption and can be used to forecast volcanic activity. Mass movements at the surface, including avalanches, debris flows, and lahars, may also generate seismic signals that are specifically addressed in chapter H, this volume (Thelen and others, 2024). Our focus in this chapter is to determine the levels of instrumentation recommended to produce high-quality, well-constrained seismic observations important for early warning of impending eruptions, detecting changes in ongoing eruptions, and characterizing other hazardous volcanic events.
There are emerging techniques and new types of instrumentation, such as distributed acoustic sensing or rotational seismometers, that we do not consider here. These types of instrumentation show promise for monitoring but still require maturation before being considered more generally in volcano monitoring.
Most of the capabilities mentioned below are universal for all types of volcanic systems, although some are best applied to stratovolcanoes with an apical single vent. In some settings, such as calderas or shield volcanoes, we must broaden coverage to include multiple possible storage regions or vent locations. As an example, Thelen (2014) discretized the long rift zones of shield volcanoes in Hawaiʻi as a set of evenly spaced “vents.” In this construct, each vent comes with recommendations, and several thousand network configurations were simulated to assess the effect on network quality levels and to determine the most efficient network design. The same process could be applied in a caldera setting or a volcanic field, where an evenly spaced grid of potential vents is considered. Localized recommendations for each unique system are beyond the scope of this report and left up to local experts to assess based on the conditions, restrictions, and requirements of each volcano.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245062B","usgsCitation":"Thelen, W.A., Lyons, J.J., Wech, A.G., Moran, S.C., Haney, M.M., and Flinders, A.F., 2024, Seismic techniques and suggested instrumentation to monitor volcanoes, chap. B of Flinders, A.F., Lowenstern, J.B., Coombs, M.L., and Poland, M.P., eds., Recommended capabilities and instrumentation for volcano monitoring in the United States: U.S. Geological Survey Scientific Investigations Report 2024–5062–B, 9 p., https://doi.org/10.3133/sir20245062B.","productDescription":"iii, 9 p.","numberOfPages":"9","onlineOnly":"N","ipdsId":"IP-150995","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462620,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5062/b/covrthbb.jpg"},{"id":462621,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5062/b/sir20245062b.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"Director,
Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
Mangroves can increase their elevation relative to tidal flooding through biogeomorphic feedbacks but can submerge if rates of sea-level rise are too great. There is an urgent need to understand the vulnerability of mangroves to sea-level rise so local communities and resource managers can implement and prioritize actions. The need is especially pressing for small islands, which have been identified as an area of concern by the IPCC. We developed a generalizable modeling framework for tidal wetlands (WARMER-3) that accounts for species interactions and the belowground processes that dictate soil elevation building relative to sea levels. The model was calibrated with extensive field datasets, including accretion rates derived from 29 soil cores, over 300 forest inventory plots, water level, and elevation. The model included five mangrove tree species and was applied across seven regions around the Pacific Island of Pohnpei, Federated States of Micronesia, where mangrove forest is a critical ecosystem that supports subsistence living for local communities. We explored mangrove resilience and carbon accumulation under six sea-level rise scenarios. We also conducted an analysis to determine the sea-level rise rate threshold above which mangroves would be lost. The results suggest that Pohnpei mangroves can build their elevations relative to low and moderate rates of sea-level rise to prevent submergence, with limited loss of mangrove area through 2150. Under higher sea-level rise rates, however, forest elevation decreased substantially relative to mean sea level and there was extensive loss of mangrove area by that year. Regarding mangrove community composition, for all sea-level rise scenarios, the model predicted a change to increasing relative abundance of flood tolerant species and decreasing relative abundance of high-elevation species, which started to being realized by 2100. Variation in sediment supply, water levels, and elevation capital led to differential vulnerability around the island. We identified a threshold for Pohnpei mangroves where if local sea-level rise rates exceed 7.8 ± 2.2 mm/year they are projected to eventually submerge and be lost. Our modeling framework is novel by addressing both species interactions and critical belowground processes to better understand potential tidal ecosystem responses to sea-level rise.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01422-y","usgsCitation":"Buffington, K., Carr, J., Mackenzie, R., Apwong, M., Krauss, K., and Thorne, K., 2024, Projecting mangrove forest resilience to sea-level rise on a Pacific Island: Species dynamics and ecological thresholds: Estuaries and Coasts, v. 47, p. 2174-2189, https://doi.org/10.1007/s12237-024-01422-y.","productDescription":"17 p.","startPage":"2174","endPage":"2189","ipdsId":"IP-165799","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Federated States of Micronesia","otherGeospatial":"Pohnpei","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 158.07984414004875,\n 7.009358068074874\n ],\n [\n 158.07984414004875,\n 6.766699284998481\n ],\n [\n 158.36071659346305,\n 6.766699284998481\n ],\n [\n 158.36071659346305,\n 7.009358068074874\n ],\n [\n 158.07984414004875,\n 7.009358068074874\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":918965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mackenzie, Richard","contributorId":264789,"corporation":false,"usgs":false,"family":"Mackenzie","given":"Richard","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":918966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Apwong, Maybeleen","contributorId":251804,"corporation":false,"usgs":false,"family":"Apwong","given":"Maybeleen","email":"","affiliations":[{"id":25408,"text":"Institute of Pacific Islands Forestry, Pacific Southwest Research Station, Hilo, HI, USA","active":true,"usgs":false}],"preferred":true,"id":918967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":223022,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":918968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262252,"text":"70262252 - 2024 - Long-term monitoring reveals management effects on Prairie Warbler colonization, local extinction, and detection in a Massachusetts pine barren","interactions":[],"lastModifiedDate":"2025-01-16T16:46:16.973077","indexId":"70262252","displayToPublicDate":"2024-10-04T10:43:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Long-term monitoring reveals management effects on Prairie Warbler colonization, local extinction, and detection in a Massachusetts pine barren","docAbstract":"Habitat management can directly impact Setophaga discolor (Prairie Warbler) abundance and distribution. Despite regional declines, Prairie Warbler populations at Camp Edwards (Bourne, MA) have increased. To investigate habitat-management effects on Prairie Warbler populations at Camp Edwards, we used a dynamic-occupancy model to analyze a long-term monitoring dataset collected across 84 point-count sites from 2013 to 2022. The model results indicated that Prairie Warbler colonization and extinction probabilities were impacted by management (measured in years since disturbance). Colonization probability was highest initially after disturbance, then subsequently decreased for ∼50 years, and extinction probability also decreased for ∼25 years. Both probabilities remained low before increasing at ∼75 years since disturbance. The increase in colonization probability >75 years since disturbance may have been an artifact of our study design and incomplete disturbance records. We also found that latitude and longitude significantly affected colonization probability, likely a result of how habitat types are distributed across the base. These results inform how Prairie Warblers respond to long-term management, suggesting that habitat management could improve colonization rates and sustain Prairie Warbler populations.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.031.0315","usgsCitation":"Gordon, A., Drummey, D., Tur, A., Curtis, A., McCumber, J., Akresh, M., and DiRenzo, G.V., 2024, Long-term monitoring reveals management effects on Prairie Warbler colonization, local extinction, and detection in a Massachusetts pine barren: Northeastern Naturalist, v. 31, no. 3, p. 418-434, https://doi.org/10.1656/045.031.0315.","productDescription":"17 p.","startPage":"418","endPage":"434","ipdsId":"IP-159827","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.6,\n 41.77\n ],\n [\n -70.6,\n 41.64\n ],\n [\n -70.5,\n 41.64\n ],\n [\n -70.5,\n 41.77\n ],\n [\n -70.6,\n 41.77\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gordon, Andrew B. Jr.","contributorId":348604,"corporation":false,"usgs":false,"family":"Gordon","given":"Andrew B.","suffix":"Jr.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":923651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drummey, Donovan","contributorId":348607,"corporation":false,"usgs":false,"family":"Drummey","given":"Donovan","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tur, Anthony","contributorId":348610,"corporation":false,"usgs":false,"family":"Tur","given":"Anthony","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curtis, Annie E.","contributorId":348613,"corporation":false,"usgs":false,"family":"Curtis","given":"Annie E.","affiliations":[{"id":81976,"text":"Massachusetts Army National Guard","active":true,"usgs":false}],"preferred":false,"id":923654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCumber, Jacob C.","contributorId":348616,"corporation":false,"usgs":false,"family":"McCumber","given":"Jacob C.","affiliations":[{"id":81976,"text":"Massachusetts Army National Guard","active":true,"usgs":false}],"preferred":false,"id":923655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Akresh, Michael E.","contributorId":348619,"corporation":false,"usgs":false,"family":"Akresh","given":"Michael E.","affiliations":[{"id":83385,"text":"Antioch University","active":true,"usgs":false}],"preferred":false,"id":923656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":923657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}