No abstract available.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Hartpence, A., 2021, Landsat Update October 2021: Landsat Update, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-133501","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":399093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":399092,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/news/landsat-update-october-2021"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartpence, Anya 0000-0002-4510-3236","orcid":"https://orcid.org/0000-0002-4510-3236","contributorId":247379,"corporation":false,"usgs":false,"family":"Hartpence","given":"Anya","email":"","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":825263,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70225510,"text":"sir20215111 - 2021 - Sediment transport in the Yankee Fork of the Salmon River near Stanley, Idaho, water years 2012–19","interactions":[],"lastModifiedDate":"2022-09-27T13:57:31.794232","indexId":"sir20215111","displayToPublicDate":"2021-10-18T09:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5111","displayTitle":"Sediment Transport in the Yankee Fork of the Salmon River near Stanley, Idaho, Water Years 2012–19","title":"Sediment transport in the Yankee Fork of the Salmon River near Stanley, Idaho, water years 2012–19","docAbstract":"Placer and dredging operations in the Yankee Fork Basin, Idaho, have left more than 5 miles of the lower Yankee Fork of the Salmon River (Yankee Fork) in a highly altered fluvial condition, resulting in poor habitat quantity and quality for native fish species. Since 2011, the Bureau of Reclamation and other stakeholders have implemented a series of restoration efforts to improve the connectivity of the river with its floodplain and to improve aquatic and terrestrial habitat in the Yankee Fork. In conjunction with these rehabilitation efforts, the U.S. Geological Survey monitored streamflow and suspended-sediment and bedload transport during water years 2012–19 at four sites in the affected lower reach of the Yankee Fork. The objectives of the monitoring were to (1) identify source areas of sediment, (2) quantify sediment transport in the lower Yankee Fork, and (3) provide a benchmark to evaluate the effects of rehabilitation efforts in the basin.
During the 8 years of sampling, the annual flow-weighted suspended-sediment concentrations (SSCs) were largest at the most downstream Clayton site, ranging from a low of 11 milligrams per liter (mg/L) in 2015 to 145 mg/L in 2017. The Clayton site also had the largest flow-weighted concentrations of suspended sand and suspended fines. At relatively low streamflow, the fine-grained fraction of the suspended sediment was the dominant component of the SSC at all sites, with an increase in the sand-size fraction as streamflow increased during snowmelt runoff. Each of the three main-stem Yankee Fork sites indicated a large amount of hysteresis in SSCs during snowmelt runoff, with concentrations on the rising limb of the hydrograph larger than concentrations on the falling limb at similar streamflow. Hysteresis was particularly evident in the fine-grained fraction of suspended sediment, indicating that sediment transport in the lower Yankee Fork is more limited by the supply of fine-grained sediment as compared to coarser-grained sediment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215111","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Clark, G.M., and Ducar, S.D., 2021, Sediment transport in the Yankee Fork of the Salmon River near Stanley, Idaho, water years 2012–19: U.S. Geological Survey Scientific Investigations Report 2021–5111, 36 p., https://doi.org/10.3133/sir20215111.","productDescription":"Report: vi, 36 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-126315","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":397358,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5111/sir20215111.XML"},{"id":397357,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5111/images"},{"id":390610,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T1F6SW","text":"USGS data release","description":"USGS data release","linkHelpText":"Synthetic streamflow regressions and daily mean streamflow estimates at three sites on the Yankee Fork Salmon River near Clayton, ID, Water Years 2012-2019"},{"id":403445,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215111/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2021-5111"},{"id":390609,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5111/sir20215111.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5111"},{"id":390608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5111/coverthb.jpg"}],"country":"United States","state":"Idaho","city":"Stanley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.0213623046875,\n 44.05601169578525\n ],\n [\n -113.84033203125,\n 44.05601169578525\n ],\n [\n -113.84033203125,\n 44.89479576469787\n ],\n [\n -115.0213623046875,\n 44.89479576469787\n ],\n [\n -115.0213623046875,\n 44.05601169578525\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702-4520
Satellite-derived bathymetry (SDB) based upon an empirical band ratio method is a cost-effective means for mapping nearshore bathymetry in coastal areas vulnerable to natural hazards. This is particularly important for the low-lying coastal community of Unalakleet, Alaska, that has been negatively affected not only by flooding, storm surge, and historically strong storms but also by high erosion rates stemming from the Unalakleet River and Norton Sound. The purpose of this study was to assess the viability of different satellite imagery, including Landsat 8 (L8) Operational Land Imager, Sentinel–2B, WorldView–3, and L8 Provisional Aquatic Reflectance science product, for deriving SDB for Unalakleet, Alaska. Correlations were performed between satellite imagery band ratios and topobathymetric (topobathy) light detection and ranging (lidar) and in situ single-beam sound navigation and ranging (sonar). The satellite imagery correlations with topobathy lidar did not yield as high of a linear relation with water depths as the satellite imagery correlations with the single-beam sonar. An extinction depth, where light no longer attenuates through the water column, was not identified because of the shallow depths within the topobathy lidar and single-beam sonar datasets. Although some single-beam soundings measured at 7 meters deep, the correlations with the SDB band ratios did not yield a strong linear relation. Satellite imagery band ratio correlations with Electronic Navigational Chart soundings did not yield a strong linear relation because of older source data. Less than optimal linear regressions were most likely due to the geography of Unalakleet, Alaska, a low-lying coastal community subject to high erosion rates from surrounding waters. This study is one of the first attempts to compare different satellite imagery band ratio correlations with topobathy lidar and in situ sonar to assess the viability for nearshore SDB for coastal Unalakleet, Alaska.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215097","usgsCitation":"Poppenga, S.K., and Danielson, J.J., 2021, A comparison of Landsat 8 Operational Land Imager and Provisional Aquatic Reflectance science product, Sentinel–2B, and WorldView–3 imagery for empirical satellite-derived bathymetry, Unalakleet, Alaska: U.S. Geological Survey Scientific Investigations Report 2021–5097, 15 p., https://doi.org/10.3133/sir20215097.","productDescription":"Report: vii, 15 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-132009","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":390537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5097/coverthb.jpg"},{"id":390538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5097/sir20215097.pdf","text":"Report","size":"1.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5097"},{"id":390539,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9238F8K","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Nearshore bathymetry data from the Unalakleet River mouth, Alaska, 2019"}],"country":"United States","state":"Alaska","city":"Unalakleet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.4873046875,\n 63.16675579239305\n ],\n [\n -159.6038818359375,\n 63.16675579239305\n ],\n [\n -159.6038818359375,\n 64.58146958015028\n ],\n [\n -164.4873046875,\n 64.58146958015028\n ],\n [\n -164.4873046875,\n 63.16675579239305\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
We examined a study plot sampled in the Conecuh National Forest of southern Alabama in 1999 and again in 2016 after stand thinning and persistent prescribed fire were used to improve habitat quality. These management activities were designed, in part, to enhance habitat quality for the gopher tortoise (Gopherus polyphemus), a species considered for protection under the Endangered Species Act because of range-wide population declines. Comparisons of vegetation structure were made at burrows that were active in 1999 and remained active in 2016, and at burrows that were active in 1999 but were classified as abandoned in 2016. Burrows that remained active across this span of time were distinctive in retaining a greater reduction of canopy cover and lacking hardwoods while having a high percentage of longleaf pine in neighboring canopy trees. Active burrows that were abandoned in 2016 were distinctive in possessing hardwoods among neighboring canopy trees, lacking pine seedlings in the midstory, and having increased frequency of legumes and decreased bare ground in the understory. All burrows experienced a decrease in canopy cover and an increase in distance to, and dbh of, neighboring canopy trees; all burrows also had a decrease in litter and non-legume forbs as well as an increase in shrub stems in the understory and midstory. These results indicate that management activities were successful in opening canopy cover but were largely unsuccessful at reducing shrub stems and increasing understory grasses and forbs. Nevertheless, burrows of gopher tortoises increased in abundance during this time period. The size distribution of these burrows changed from a unimodal distribution dominated by adults to a bimodal distribution indicative of increased juvenile recruitment. Thus, the gopher tortoise population increased in association with vegetation changes that suggest tortoises are more sensitive to shading caused by canopy closure than they are to available forage.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/21-3","usgsCitation":"Pudner, R.C., Waddle, H., Mersmann, S.P., Kush, J.S., Guyer, C., and Hermann, S.M., 2021, Changes in vegetation structure and gopher tortoise population structure after 17 years of restoration management: Natural Areas Journal, v. 41, no. 4, p. 273-282, https://doi.org/10.3375/21-3.","productDescription":"10 p.","startPage":"273","endPage":"282","ipdsId":"IP-125278","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":398211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Covington County","otherGeospatial":"Conecuh National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.7139720916748,\n 31.016235250004833\n ],\n [\n -86.65655136108397,\n 31.016235250004833\n ],\n [\n -86.65655136108397,\n 31.061095508655708\n ],\n [\n -86.7139720916748,\n 31.061095508655708\n ],\n [\n -86.7139720916748,\n 31.016235250004833\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pudner, Rebecca C.","contributorId":289770,"corporation":false,"usgs":false,"family":"Pudner","given":"Rebecca","email":"","middleInitial":"C.","affiliations":[{"id":62236,"text":"Directorate of Public Works, Natural Resource Management Branch, IWE-PWE-N, Fort Benning, GA","active":true,"usgs":false}],"preferred":false,"id":839744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":206866,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mersmann, Suzi P.","contributorId":289771,"corporation":false,"usgs":false,"family":"Mersmann","given":"Suzi","email":"","middleInitial":"P.","affiliations":[{"id":62238,"text":"SP Mersmann Environmental Services","active":true,"usgs":false}],"preferred":false,"id":839746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kush, John S.","contributorId":289772,"corporation":false,"usgs":false,"family":"Kush","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":62240,"text":"School of Forestry and Wildlife Science, Auburn University","active":true,"usgs":false}],"preferred":false,"id":839747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guyer, Craig","contributorId":104800,"corporation":false,"usgs":false,"family":"Guyer","given":"Craig","email":"","affiliations":[],"preferred":false,"id":839748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hermann, Sharon M.","contributorId":175058,"corporation":false,"usgs":false,"family":"Hermann","given":"Sharon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":839749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241512,"text":"70241512 - 2021 - Testing a generalizable machine learning workflow for aquatic invasive species on Rainbow Trout (Oncorhynchus mykiss) in northwest Montana","interactions":[],"lastModifiedDate":"2023-03-22T13:39:36.559013","indexId":"70241512","displayToPublicDate":"2021-10-18T08:27:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13624,"text":"Frontiers in Big Data","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing a generalizable machine learning workflow for aquatic invasive species on Rainbow Trout (Oncorhynchus mykiss) in northwest Montana","title":"Testing a generalizable machine learning workflow for aquatic invasive species on Rainbow Trout (Oncorhynchus mykiss) in northwest Montana","docAbstract":"Biological invasions are accelerating worldwide, causing major ecological and economic impacts in aquatic ecosystems. The urgent decision-making needs of invasive species managers can be better met by the integration of biodiversity big data with large-domain models and data-driven products. Remotely sensed data products can be combined with existing invasive species occurrence data via machine learning models to provide the proactive spatial risk analysis necessary for implementing coordinated and agile management paradigms across large scales. We present a workflow that generates rapid spatial risk assessments on aquatic invasive species using occurrence data, spatially explicit environmental data, and an ensemble approach to species distribution modeling using five machine learning algorithms. For proof of concept and validation, we tested this workflow using extensive spatial and temporal hybridization and occurrence data from a well-studied, ongoing, and climate-driven species invasion in the upper Flathead River system in northwestern Montana, USA. Rainbow Trout (RBT; Oncorhynchus mykiss), an introduced species in the Flathead River basin, compete and readily hybridize with native Westslope Cutthroat Trout (WCT; O. clarkii lewisii), and the spread of RBT individuals and their alleles has been tracked for decades. We used remotely sensed and other geospatial data as key environmental predictors for projecting resultant habitat suitability to geographic space. The ensemble modeling technique yielded high accuracy predictions relative to 30-fold cross-validated datasets (87% 30-fold cross-validated accuracy score). Both top predictors and model performance relative to these predictors matched current understanding of the drivers of RBT invasion and habitat suitability, indicating that temperature is a major factor influencing the spread of invasive RBT and hybridization with native WCT. The congruence between more time-consuming modeling approaches and our rapid machine-learning approach suggest that this workflow could be applied more broadly to provide data-driven management information for early detection of potential invaders.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fdata.2021.734990","usgsCitation":"Carter, S.C., van Rees, C.B., Hand, B., Muhlfeld, C.C., Luikart, G., and Kimball, J., 2021, Testing a generalizable machine learning workflow for aquatic invasive species on Rainbow Trout (Oncorhynchus mykiss) in northwest Montana: Frontiers in Big Data, v. October 2021, no. 4, 734990, 16 p., https://doi.org/10.3389/fdata.2021.734990.","productDescription":"734990, 16 p.","ipdsId":"IP-131069","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fdata.2021.734990","text":"Publisher Index Page"},{"id":414546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, British Columbia, Montana","otherGeospatial":"Upper Flathead River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.23345756511358,\n 47.33781313835249\n ],\n [\n -112.23345756511358,\n 49.73936740861234\n ],\n [\n -116.91479840469856,\n 49.73936740861234\n ],\n [\n -116.91479840469856,\n 47.33781313835249\n ],\n [\n -112.23345756511358,\n 47.33781313835249\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"October 2021","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sean C.","contributorId":292837,"corporation":false,"usgs":false,"family":"Carter","given":"Sean","email":"","middleInitial":"C.","affiliations":[{"id":63038,"text":"Numerical Terradynamic Simulation Group, University of Montana","active":true,"usgs":false}],"preferred":false,"id":867066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":867067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hand, Brian K.","contributorId":139248,"corporation":false,"usgs":false,"family":"Hand","given":"Brian K.","affiliations":[{"id":12707,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":867068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":867069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":867070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kimball, John S","contributorId":167148,"corporation":false,"usgs":false,"family":"Kimball","given":"John S","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":867071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225670,"text":"70225670 - 2021 - Acute mortality in California tiger salamander (Ambystoma californiense) and Santa Cruz long-toed salamander (Ambystoma macrodactylum croceum) caused by Ribeiroia ondatrae (Class: Trematoda)","interactions":[],"lastModifiedDate":"2021-11-16T16:03:03.350757","indexId":"70225670","displayToPublicDate":"2021-10-18T08:20:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Acute mortality in California tiger salamander (Ambystoma californiense) and Santa Cruz long-toed salamander (Ambystoma macrodactylum croceum) caused by Ribeiroia ondatrae (Class: Trematoda)","title":"Acute mortality in California tiger salamander (Ambystoma californiense) and Santa Cruz long-toed salamander (Ambystoma macrodactylum croceum) caused by Ribeiroia ondatrae (Class: Trematoda)","docAbstract":"In early September 2019, a morbidity and mortality event affecting California tiger salamanders (Ambystoma californiense) and Santa Cruz long-toed salamanders (Ambystoma macrodactylum croceum) in late stages of metamorphosis was reported at a National Wildlife Refuge in Santa Cruz County, California, U.S.A. During the postmortem disease investigation, severe integumentary metacercarial (Class: Trematoda) infection, associated with widespread skin lesions, was observed. Planorbid snails collected from the ponds of the refuge within seven days of the mortality event were infected with Ribeiroia ondatrae, a digenetic trematode that can cause malformation and death in some amphibians. We suggest sustained seasonal high-water levels due to active habitat management along with several years of increased rainfall led to increased bird visitation, increased over-wintering of snails, and prolonged salamander metamorphosis, resulting in a confluence of conditions and cascading of host-parasite dynamics to create a hyper-parasitized state.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2021.10.008","usgsCitation":"Keller, S., Roderick, C., Caris, C., Grear, D.A., and Cole, R.A., 2021, Acute mortality in California tiger salamander (Ambystoma californiense) and Santa Cruz long-toed salamander (Ambystoma macrodactylum croceum) caused by Ribeiroia ondatrae (Class: Trematoda): International Journal for Parasitology: Parasites and Wildlife, v. 16, p. 255-261, https://doi.org/10.1016/j.ijppaw.2021.10.008.","productDescription":"7 p.","startPage":"255","endPage":"261","ipdsId":"IP-130453","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":450418,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2021.10.008","text":"Publisher Index Page"},{"id":436151,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CD92ZZ","text":"USGS data release","linkHelpText":"Carcass weights, 28S rRNA alignment file and parasite sample vouchers collected from California tiger salamanders (Ambystoma californiense) CTS and Santa Cruz long-toed salamander (Ambystoma macrodactylum croceum) SCLT from Prospect or Ellicott Pond, on Ellicott Slough National Wildlife Refuge, California U.S.A. recorded September 11, 2019"},{"id":391267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Cruz County","otherGeospatial":"Ellicott Slough National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80971145629881,\n 36.9106467256463\n ],\n [\n -121.80035591125488,\n 36.9106467256463\n ],\n [\n -121.80035591125488,\n 36.92423384099305\n ],\n [\n -121.80971145629881,\n 36.92423384099305\n ],\n [\n -121.80971145629881,\n 36.9106467256463\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keller, Saskia","contributorId":255627,"corporation":false,"usgs":false,"family":"Keller","given":"Saskia","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":826146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roderick, Constance 0000-0001-8330-8024","orcid":"https://orcid.org/0000-0001-8330-8024","contributorId":215346,"corporation":false,"usgs":true,"family":"Roderick","given":"Constance","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caris, Christopher","contributorId":268197,"corporation":false,"usgs":false,"family":"Caris","given":"Christopher","email":"","affiliations":[{"id":55590,"text":"U.S. Fish and Wildlife Service, San Francisco Bay National Wildlife Refuge Complex, Fremont, CA, USA","active":true,"usgs":false}],"preferred":false,"id":826148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826150,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226179,"text":"70226179 - 2021 - The effects of ENSO and the North American monsoon on mast seeding in two Rocky Mountain conifer species","interactions":[],"lastModifiedDate":"2021-11-16T12:59:50.389487","indexId":"70226179","displayToPublicDate":"2021-10-18T06:58:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The effects of ENSO and the North American monsoon on mast seeding in two Rocky Mountain conifer species","docAbstract":"We aimed to disentangle the patterns of synchronous and variable cone production (i.e. masting) and its relationship to climate in two conifer species native to dry forests of western North America. We used cone abscission scars to reconstruct ca 15 years of recent cone production in Pinus edulis and Pinus ponderosa, and used redundancy analysis to relate time series of annual cone production to climate indices describing the North American monsoon and the El Niño Southern Oscillation (ENSO). We show that the sensitivity to climate and resulting synchrony in cone production varies substantially between species. Cone production among populations of P. edulis was much more spatially synchronous and more closely related to large-scale modes of climate variability than among populations of P. ponderosa. Large-scale synchrony in P. edulis cone production was associated with the North American monsoon and we identified a dipole pattern of regional cone production associated with ENSO phase. In P. ponderosa, these climate indices were not strongly associated with cone production, resulting in asynchronous masting patterns among populations. This study helps frame our understanding of mast seeding as a life-history strategy and has implications for our ability to forecast mast years in these species.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2020.0378","usgsCitation":"Wion, A., Pearse, I., Rodman, K., Veblen, T.T., and Redmond, M., 2021, The effects of ENSO and the North American monsoon on mast seeding in two Rocky Mountain conifer species: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 376, no. 1839, https://doi.org/10.1098/rstb.2020.0378.","ipdsId":"IP-126312","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450421,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":391740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","issue":"1839","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wion, Andreas","contributorId":225092,"corporation":false,"usgs":false,"family":"Wion","given":"Andreas","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":826731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodman, Kyle C.","contributorId":238090,"corporation":false,"usgs":false,"family":"Rodman","given":"Kyle C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":826733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veblen, Thomas T.","contributorId":192285,"corporation":false,"usgs":false,"family":"Veblen","given":"Thomas","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":826734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redmond, Miranda D.","contributorId":225094,"corporation":false,"usgs":false,"family":"Redmond","given":"Miranda","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":826735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226183,"text":"70226183 - 2021 - The ecology and evolution of synchronized reproduction in long-lived plants","interactions":[],"lastModifiedDate":"2021-11-16T12:56:10.688362","indexId":"70226183","displayToPublicDate":"2021-10-18T06:54:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The ecology and evolution of synchronized reproduction in long-lived plants","docAbstract":"Populations of many long-lived plants exhibit spatially synchronized seed production that varies extensively over time, so that seed production in some years is much higher than on average, while in others, it is much lower or absent. This phenomenon termed masting or mast seeding has important consequences for plant reproductive success, ecosystem dynamics and plant–human interactions. Inspired by recent advances in the field, this special issue presents a series of articles that advance the current understanding of the ecology and evolution of masting. To provide a broad overview, we reflect on the state-of-the-art of masting research in terms of underlying proximate mechanisms, ontogeny, adaptations, phylogeny and applications to conservation. While the mechanistic drivers and fitness consequences of masting have received most attention, the evolutionary history, ontogenetic trajectory and applications to plant–human interactions are poorly understood. With increased availability of long-term datasets across broader geographical and taxonomic scales, as well as advances in molecular approaches, we expect that many mysteries of masting will be solved soon. The increased understanding of this global phenomenon will provide the foundation for predictive modelling of seed crops, which will improve our ability to manage forests and agricultural fruit and nut crops in the Anthropocene.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2020.0369","usgsCitation":"Pesendorfer, M.B., Ascoli, D., Bogdziewicz, M., Hacket-Pain, A., Pearse, I., and Vacchiano, G., 2021, The ecology and evolution of synchronized reproduction in long-lived plants: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 376, no. 1839, https://doi.org/10.1098/rstb.2020.0369.","ipdsId":"IP-130378","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2020.0369","text":"Publisher Index Page"},{"id":391738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","issue":"1839","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Pesendorfer, Mario B.","contributorId":201187,"corporation":false,"usgs":false,"family":"Pesendorfer","given":"Mario","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":826744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":826745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogdziewicz, Michal","contributorId":256849,"corporation":false,"usgs":false,"family":"Bogdziewicz","given":"Michal","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":826746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":826747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":826748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225673,"text":"70225673 - 2021 - Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States","interactions":[],"lastModifiedDate":"2021-11-02T11:54:43.920548","indexId":"70225673","displayToPublicDate":"2021-10-18T06:51:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States","docAbstract":"Groundwater is an important source of drinking water supplies in the conterminous United State (CONUS), and presence of high nitrate concentrations may limit usability of groundwater in some areas because of the potential negative health effects. Prediction of locations of high nitrate groundwater is needed to focus mitigation and relief efforts. A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate. Nitrate was predicted at a 1 km resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate concentrations from 12,082 wells and included predictor variables representing well characteristics, hydrologic conditions, soil type, geology, land use, climate, and nitrogen inputs. Predictor variables derived from empirical or numerical process-based models were also included to integrate information on controlling processes and conditions. The model provided accurate estimates at national and regional scales: the training (R2 of 0.83) and hold-out (R2 of 0.49) data fits compared favorably to previous studies. Predicted nitrate concentrations were less than 1 mg/L across most of the CONUS. Nationally, well depth, soil and climate characteristics, and the absence of developed land use were among the most influential explanatory factors. Only 1% of the area in either water supply zone had predicted nitrate concentrations greater than 10 mg/L; however, about 1.4 M people depend on groundwater for their drinking supplies in those areas. Predicted high concentrations of nitrate were most prevalent in the central CONUS. In areas of predicted high nitrate concentration, applied manure, farm fertilizer, and agricultural land use were influential predictor variables. This work represents the first application of XGB to a three-dimensional national-scale groundwater quality model and provides a significant milestone in the efforts to document nitrate in groundwater across the CONUS.
Variable eruptive style and explosivity is common in basaltic to basaltic andesite volcanoes but can have uncertain origins. Veniaminof volcano in the Alaska-Aleutian arc is a frequently active open-vent center, regularly producing Strombolian eruptions and small lava flows from an intracaldera cone within an intracaldera ice cap. The September–December 2018 eruption of Veniaminof evolved in explosivity over time. The eruption was documented with frequent satellite observations, syn- and post-eruption structure-from-motion photo surveys, and post-eruption sampling of lava flows and tephra preserved in the syn-eruption snowpack. Lava flows with a total volume of ~ 6 × 106 m3 flowed down the cone flanks into the ice cap, overthickening at ice marginal flow fronts. Smaller tephra deposits were estimated at ~ 1–2 × 106 m3 dense rock equivalent, with almost half of this volume deposited directly on the eruptive cone itself. Erupted products were basaltic andesite, and composition (54 ± 0.7 wt% bulk rock, 58 ± 0.7 wt% glass SiO2), sideromelane microlite crystallinity (20–30%), and microlite number density (plagioclase 6.4 ± 2.6 × 105 n/mm3) did not change significantly over the eruption suggesting a similar magma source and ascent rate. We defined tephra componentry with groundmass microcrystalline textures using backscatter electron images. The componentry of tephra groundmass showed significant increases in tachylite grains, defined here by the presence of dendritic interstitial nanolites, corresponding to increasing seismic tremor and periods of increased ash emissions. We suggest that these componentry changes reflect increasing undercooled zones on the conduit margins that increased brittle shearing, fragmentation, and ultimately ash emissions.
There is evidence that variable and synchronous reproduction in seed plants (masting) correlates to modes of climate variability, e.g. El Niño Southern Oscillation and North Atlantic Oscillation. In this perspective, we explore the breadth of knowledge on how climate modes control reproduction in major masting species throughout Earth's biomes. We posit that intrinsic properties of climate modes (periodicity, persistence and trends) drive interannual and decadal variability of plant reproduction, as well as the spatial extent of its synchrony, aligning multiple proximate causes of masting through space and time. Moreover, climate modes force lagged but in-phase ecological processes that interact synergistically with multiple stages of plant reproductive cycles. This sets up adaptive benefits by increasing offspring fitness through either economies of scale or environmental prediction. Community-wide links between climate modes and masting across plant taxa suggest an evolutionary role of climate variability. We argue that climate modes may ‘bridge’ proximate and ultimate causes of masting selecting for variable and synchronous reproduction. The future of such interaction is uncertain: processes that improve reproductive fitness may remain coupled with climate modes even under changing climates, but chances are that abrupt global warming will affect Earth's climate modes so rapidly as to alter ecological and evolutionary links.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2020.0380","usgsCitation":"Ascoli, D., Hacket-Pain, A., Pearse, I.S., Vacchiano, G., Corti, S., and Davini, P., 2021, Modes of climate variability bridge proximate and evolutionary mechanisms of masting: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 376, no. 1839, https://doi.org/10.1098/rstb.2020.0380.","ipdsId":"IP-127671","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450429,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2020.0380","text":"External Repository"},{"id":391736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","issue":"1839","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":826814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":826815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":826817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corti, Susanna","contributorId":268854,"corporation":false,"usgs":false,"family":"Corti","given":"Susanna","email":"","affiliations":[{"id":55694,"text":"Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche","active":true,"usgs":false}],"preferred":false,"id":826818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davini, Paolo","contributorId":268855,"corporation":false,"usgs":false,"family":"Davini","given":"Paolo","email":"","affiliations":[{"id":55694,"text":"Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche","active":true,"usgs":false}],"preferred":false,"id":826819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259595,"text":"70259595 - 2021 - Active virus-host interactions at sub-freezing temperatures in Arctic peat soil","interactions":[],"lastModifiedDate":"2024-10-16T11:52:44.042031","indexId":"70259595","displayToPublicDate":"2021-10-18T06:48:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5838,"text":"Microbiome","onlineIssn":"2049-2618","active":true,"publicationSubtype":{"id":10}},"title":"Active virus-host interactions at sub-freezing temperatures in Arctic peat soil","docAbstract":"Winter carbon loss in northern ecosystems is estimated to be greater than the average growing season carbon uptake and is primarily driven by microbial decomposers. Viruses modulate microbial carbon cycling via induced mortality and metabolic controls, but it is unknown whether viruses are active under winter conditions (anoxic and sub-freezing temperatures).
We used stable isotope probing (SIP) targeted metagenomics to reveal the genomic potential of active soil microbial populations under simulated winter conditions, with an emphasis on viruses and virus-host dynamics. Arctic peat soils from the Bonanza Creek Long-Term Ecological Research site in Alaska were incubated under sub-freezing anoxic conditions with H218O or natural abundance water for 184 and 370 days. We sequenced 23 SIP-metagenomes and measured carbon dioxide (CO2) efflux throughout the experiment. We identified 46 bacterial populations (spanning 9 phyla) and 243 viral populations that actively took up 18O in soil and respired CO2 throughout the incubation. Active bacterial populations represented only a small portion of the detected microbial community and were capable of fermentation and organic matter degradation. In contrast, active viral populations represented a large portion of the detected viral community and one third were linked to active bacterial populations. We identified 86 auxiliary metabolic genes and other environmentally relevant genes. The majority of these genes were carried by active viral populations and had diverse functions such as carbon utilization and scavenging that could provide their host with a fitness advantage for utilizing much-needed carbon sources or acquiring essential nutrients.
Overall, there was a stark difference in the identity and function of the active bacterial and viral community compared to the unlabeled community that would have been overlooked with a non-targeted standard metagenomic analysis. Our results illustrate that substantial active virus-host interactions occur in sub-freezing anoxic conditions and highlight viruses as a major community-structuring agent that likely modulates carbon loss in peat soils during winter, which may be pivotal for understanding the future fate of arctic soils' vast carbon stocks.
","language":"English","publisher":"Springer","doi":"10.1186/s40168-021-01154-2","usgsCitation":"Trubl, G., Kimbrel, J.A., Liquet-Gonzalez, J., Nuccio, E.E., Weber, P.K., Pett-Ridge, J., Jansson, J.K., Waldrop, M., and Blazewicz, S., 2021, Active virus-host interactions at sub-freezing temperatures in Arctic peat soil: Microbiome, v. 9, 208, 15 p., https://doi.org/10.1186/s40168-021-01154-2.","productDescription":"208, 15 p.","ipdsId":"IP-128011","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467223,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40168-021-01154-2","text":"Publisher Index Page"},{"id":462901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Trubl, Gareth","contributorId":345156,"corporation":false,"usgs":false,"family":"Trubl","given":"Gareth","email":"","affiliations":[{"id":82502,"text":"Lawrence Livermore National Labs","active":true,"usgs":false}],"preferred":false,"id":915862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimbrel, Jeffrey A","contributorId":345157,"corporation":false,"usgs":false,"family":"Kimbrel","given":"Jeffrey","email":"","middleInitial":"A","affiliations":[{"id":82502,"text":"Lawrence Livermore National Labs","active":true,"usgs":false}],"preferred":false,"id":915863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liquet-Gonzalez, Jose","contributorId":345158,"corporation":false,"usgs":false,"family":"Liquet-Gonzalez","given":"Jose","email":"","affiliations":[{"id":82502,"text":"Lawrence Livermore National Labs","active":true,"usgs":false}],"preferred":false,"id":915864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nuccio, Erin E.","contributorId":345159,"corporation":false,"usgs":false,"family":"Nuccio","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":915865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Peter K.","contributorId":345160,"corporation":false,"usgs":false,"family":"Weber","given":"Peter","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":915866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pett-Ridge, Jennifer","contributorId":254974,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Jennifer","affiliations":[{"id":51376,"text":"Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore CA 94551","active":true,"usgs":false}],"preferred":false,"id":915867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansson, Janet K.","contributorId":345161,"corporation":false,"usgs":false,"family":"Jansson","given":"Janet","email":"","middleInitial":"K.","affiliations":[{"id":82503,"text":"Pacific Northwest National Labs","active":true,"usgs":false}],"preferred":false,"id":915868,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":915869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blazewicz, Steve 0000-0001-7517-1750","orcid":"https://orcid.org/0000-0001-7517-1750","contributorId":272100,"corporation":false,"usgs":false,"family":"Blazewicz","given":"Steve","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":915870,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70226188,"text":"70226188 - 2021 - Understanding mast seeding for conservation and land management","interactions":[],"lastModifiedDate":"2021-11-16T12:49:09.966096","indexId":"70226188","displayToPublicDate":"2021-10-18T06:47:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Understanding mast seeding for conservation and land management","docAbstract":"Masting, the intermittent and synchronous production of large seed crops, can have profound consequences for plant populations and the food webs that are built on their seeds. For centuries, people have recorded mast crops because of their importance in managing wildlife populations. In the past 30 years, we have begun to recognize the importance of masting in conserving and managing many other aspects of the environment: promoting the regeneration of forests following fire or other disturbance, conserving rare plants, conscientiously developing the use of edible seeds as non-timber forest products, coping with the consequences of extinctions on seed dispersal, reducing the impacts of plant invasions with biological control, suppressing zoonotic diseases and preventing depredation of endemic fauna. We summarize current instances and future possibilities of a broad set of applications of masting. By exploring in detail several case studies, we develop new perspectives on how solutions to pressing conservation and land management problems may benefit by better understanding the dynamics of seed production. A lesson common to these examples is that masting can be used to time management, and often, to do this effectively, we need models that explicitly forecast masting and the dynamics of seed-eating animals into the near-term future.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2020.0383","usgsCitation":"Pearse, I.S., Wion, A., Gonzalez, A., and Pesendorfer, M.B., 2021, Understanding mast seeding for conservation and land management: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 376, no. 1839, https://doi.org/10.1098/rstb.2020.0383.","ipdsId":"IP-126922","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450431,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8520776","text":"External Repository"},{"id":391735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","issue":"1839","noUsgsAuthors":false,"publicationDate":"2021-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":826820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wion, Andreas","contributorId":225092,"corporation":false,"usgs":false,"family":"Wion","given":"Andreas","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":826821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez, Angela","contributorId":268856,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Angela","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":826822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pesendorfer, Mario B.","contributorId":201187,"corporation":false,"usgs":false,"family":"Pesendorfer","given":"Mario","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":826823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226823,"text":"70226823 - 2021 - Effects of hydrologic variability and remedial actions on first flush and metal loading from streams draining the Silverton caldera, 1992–2014","interactions":[],"lastModifiedDate":"2021-12-14T12:52:04.069102","indexId":"70226823","displayToPublicDate":"2021-10-18T06:45:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hydrologic variability and remedial actions on first flush and metal loading from streams draining the Silverton caldera, 1992–2014","docAbstract":"This study examined water quality in the upper Animas River watershed, a mined watershed that gained notoriety following the 2015 Gold King mine release of acid mine drainage to downstream communities. Water-quality data were used to evaluate trends in metal concentrations and loads over a two-decade period. Selected sites included three sites on tributary streams and one main-stem site on the Animas River downstream from the tributary confluences. During the study period, metal concentrations and loads varied seasonally and annually because of hydrologic variability and remedial actions designed to ameliorate the effects of acid mine drainage. Water-quality data were divided into two periods based on the timing of remedial activities in the watershed. The first period includes active water treatment, surface reclamation and installation of bulkheads in adits; the second period includes the decade following these activities. Water-quality data were used to estimate annual and monthly zinc loads using the Adjusted Maximum Likelihood Method (using LOADEST software) and U.S. Geological Survey streamflow data. This study presents one of the first applications of LOADEST focused on metal loads. Monthly flow-weighted concentrations were analysed using a Mann-Kendall trend test to determine the direction, magnitude, and significance of temporal trends in zinc loading in any given month and using t-test comparisons between the two periods. Zinc loads estimated for the Animas River below the tributaries indicate decreased zinc loading during the rising limb of the hydrograph in the second period, perhaps reflecting a reduction of snowmelt-derived zinc load following surface reclamation activities. In contrast, base-flow zinc loading increased at the main-stem site, perhaps because of the cessation of water treatment in tributary streams. Flow weighting of monthly load estimates yielded increased statistical significance and enabled more nuanced differentiation between the effects of hydrologic variability and remedial activities on zinc loading.
For several decades, white plagues (WPDs: WPD-I, II and III) and more recently, stony coral tissue loss disease (SCTLD) have significantly impacted Caribbean corals. These diseases are often difficult to separate in the field as they produce similar gross signs. Here we aimed to compare what we know about WPD and SCTLD in terms of: (1) pathology, (2) etiology, and (3) epizootiology. We reviewed over 114 peer-reviewed publications from 1973 to 2021. Overall, WPD and SCTLD resemble each other macroscopically, mainly due to the rapid tissue loss they produce in their hosts, however, SCTLD has a more concise case definition. Multiple-coalescent lesions are often observed in colonies with SCTLD and rarely in WPD. A unique diagnostic sign of SCTLD is the presence of bleached circular areas when SCTLD lesions are first appearing in the colony. The paucity of histopathologic archives for WPDs for multiple species across geographies makes it impossible to tell if WPD is the same as SCTLD. Both diseases alter the coral microbiome. WPD is controversially regarded as a bacterial infection and more recently a viral infection, whereas for SCTLD the etiology has not been identified, but the putative pathogen, likely to be a virus, has not been confirmed yet. Most striking differences between WPD and SCTLD have been related to duration and phases of epizootic events and mortality rates. While both diseases may become highly prevalent on reefs, SCTLD seems to be more persistent even throughout years. Both transmit directly (contact) and horizontally (waterborne), but organism-mediated transmission is only proven for WPD-II. Given the differences and similarities between these diseases, more detailed information is needed for a better comparison. Specifically, it is important to focus on: (1) tagging colonies to look at disease progression and tissue mortality rates, (2) tracking the fate of the epizootic event by looking at initial coral species affected, the features of lesions and how they spread over colonies and to a wider range of hosts, (3) persistence across years, and (4) repetitive sampling to look at changes in the microbiome as the disease progresses. Our review shows that WPDs and SCTLD are the major causes of coral tissue loss recorded in the Caribbean.
There are serious concerns for native freshwater mussel survival (Bivalvia: Unionidae) in the Laurentian Great Lakes region after populations were seemingly pushed to the brink of extirpation following the introduction of dreissenid mussels (Dreissena polymorpha and D. rostriformis bugensis) in the mid-1980s. The Detroit River was the first major river system in North America to be invaded by dreissenids, and unionids were considered extirpated from the river by 1998. Since then several unionid refuges (areas with relatively low dreissenid impact and surviving unionids) have been found in coastal areas of lakes St. Clair and Erie, but no documentation exists in the Detroit River. To assess dreissenid presence and potential unionid persistence, a mixture of stratified random, historical, and potential refuge sites were surveyed during summer 2019 in the Detroit River. Unionid and dreissenid habitat use was further investigated with analysis of variance and classification tree analyses. Of the 56 sites surveyed, only five sites had live unionids totaling 220 animals of 11 species. More than 2000 unionid shells of 31 species were collected from 39 sites, confirming the large and diverse unionid populations that existed prior to the dreissenid invasion. Ninety-eight percent of live unionids found showed evidence of past or present dreissenid attachment. Estimated dreissenid densities were highly variable with river location and ranged from 0 to 5673 live individuals per m2, with the largest densities concentrated in the upstream half of the Detroit River. Despite their previously assumed extirpation from the Detroit River, live unionids were found during this comprehensive survey. Although only 40% of the historical species within the unionid assemblage remains, our results suggest, in the right conditions, some coexistence is possible among some species of unionids and dreissenids in this large river system.
We present a new SIngle-scintillator Neutron and Gamma Ray spectrometer (SINGR) instrument for use with both passive and active measurement techniques. Here we discuss the application of SINGR for planetary exploration missions, however, hydrology, nuclear non-proliferation, and resource prospecting are all potential areas where the instrument could be applied. SINGR uses an elpasolite scintillator, Cs2YLiCl6:Ce (CLYC), that has been shown to have high neutron efficiency even at small volumes, with a gamma-ray energy resolution of approximately 4% full-width-at-half-maximum at 662 keV. Active gamma-ray and neutron (GRNS) measurements were performed with SINGR at the NASA Goddard Space Flight Center (GSFC) Goddard Geophysical and Astronomical Observatory (GGAO) outdoor test site using a pulsed neutron generator (PNG) to interrogate geologically relevant materials (basalt and granite monuments). These experimental results, combined with simulations, demonstrate that SINGR is capable of generating neutron die-away curves that can be used to reconstruct the bulk hydrogen abundance and the depth distribution of hydrogen within the monuments. We compare our experimental results with Monte Carlo N-Particle (MCNP) 6.1 transport simulations to constrain the uncertainties in depth and hydrogen abundance from the neutron die-away data generated by SINGR. For future planetary exploration missions, SINGR provides a single detector system for interrogating the shallow subsurface to characterize the presence and abundance of hydrated phases and to provide bulk elemental analysis.
We quantified permafrost peat plateau and post-thaw carbon (C) stocks across a chronosequence in Interior Alaska to evaluate the amount of C lost with thaw. Macrofossil reconstructions revealed three stratigraphic layers of peat: (1) a base layer of fen/marsh peat, (2) peat from a forested peat plateau (with permafrost) and, (3) collapse-scar bog peat (at sites where permafrost thaw has occurred). Radiocarbon dating revealed that peat initiated within the last 2,500 years and that permafrost aggraded during the Little Ice Age (ca. 250 – 575 years ago) and degraded within the last several decades. The timing of permafrost thaw within each feature was not related to thaw bog size. Their rate of expansion may be more influenced by local factors, such as ground ice content and subsurface water inputs. We found C losses due to thaw over the past century were up to 46% of the C available, but the absolute amount of C lost (kg m-2) was over 50% lower than losses previously described in other Alaskan peatland chronosequences. We hypothesize that this difference stems from the process by which permafrost aggraded, with sites that formed permafrost epigenetically (significantly later than most peat accumulation) experiencing less absolute C loss with thaw than sites that formed syngenetically (simultaneously with peat accumulation). Epigenetic peat from our site had lower C:N ratios as compared to Alaskan sites that have syngenetic peat. This difference could help predict the magnitude of C loss with thaw across a range or permafrost types and histories.
The idea for this book, including its organization and contents, has its origin in the latest environmental and climate policy requirements in the United States, as well as science advances. In 2007, the U.S. Congress passed the Energy Independence and Security Act (EISA), from which Section 712 required U.S. Federal agencies to provide a better understanding of carbon and greenhouse gas fluxes across the United States. As a result, largescale and coordinated efforts were launched to assess carbon storage, carbon fluxes, and greenhouse gas fluxes including CO2, CH4, and N2O from all major terrestrial and freshwater aquatic ecosystems, including forest, grassland/shrub, agricultural lands, wetlands, and rivers, streams, lakes, and impoundments. The EISA assessment produced major results (Selmants et al., 2017; Zhu, 2011; Zhu & McGuire, 2016; Zhu & Reed, 2012, 2014), but recognized that wetlands remained a significant source of uncertainty, especially for those wetlands that were being actively managed. The more recent Second State of the Carbon Cycle Report by the U.S. Global Change Research Program (USGCRP), which devoted two separate chapters to inland and coastal wetlands, respectively, noted that large knowledge gaps still remain, ranging from inadequate analysis of restored and managed wetlands, and consequences of management decisions, to future wetland responses to climate change (USGCRP, 2018). In recent literature, wetland management is suggested as a potential natural solution to mitigate climate change (Fargione et al., 2018, Kroeger et al., 2017) and help offset direct losses of wetlands from sea level rise, subsidence, and coastal erosion (Wang et al., 2017). The recognition that a synthesis of wetland carbon management was urgently needed was the genesis of Wetland Carbon and Environmental Management; discerning the relationships between wetland management and carbon flux (loss or gain) is an international goal.
","largerWorkTitle":"Wetland carbon and environmental management","language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.fmatter","usgsCitation":"Krauss, K., Zhu, Z., and Stagg, C., 2021, Preface to book: Wetland carbon and environmental management, chap. of Wetland carbon and environmental management: Geophysical Monograph Series, p. xix-xx, https://doi.org/10.1002/9781119639305.fmatter.","productDescription":"2 p.","startPage":"xix","endPage":"xx","ipdsId":"IP-117872","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":407469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":853920,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":853921,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":853922,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"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":853093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":853094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":222386,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853095,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237016,"text":"70237016 - 2021 - Potential for carbon and nitrogen sequestration by restoring tidal connectivity and enhancing soil surface elevations in denuded and degraded south Florida mangrove ecosystems","interactions":[],"lastModifiedDate":"2022-10-06T15:35:42.308079","indexId":"70237016","displayToPublicDate":"2021-10-15T13:28:05","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":12608,"text":"Geophysical Monograph Series","active":true,"publicationSubtype":{"id":24}},"title":"Potential for carbon and nitrogen sequestration by restoring tidal connectivity and enhancing soil surface elevations in denuded and degraded south Florida mangrove ecosystems","docAbstract":"Mangroves are tidally dependent wetlands that are influenced often by alterations in hydrology associated with coastal developments that impact their distribution, health, and function. Alteration in frequency, depth, duration, and seasonality of tidal inundation can lead to changes in forest condition, although these stress-adapted ecosystems may persist for many years before succumbing to mortality. However, arresting this decline through hydrological restoration can significantly improve ecosystem condition and the provision of ecosystem services. Much of the mangrove resource on Marco Island, Florida, USA, is unhealthy if not already dead or dying due to soil structural shifts, permanent flooding, and peat compression resulting from road construction, tidal restriction, and delays in restoration actions. In order to determine the impact of restricted hydrology on these mangrove forests, we examined soil surface elevation change and soil carbon (C) and nitrogen (N) content along a degradation gradient and within a small-scale, community-driven restoration area. Using a space-for-time substitution approach, we found that the restoration of regular tidal inundation to Marco Island mangroves has the potential to increase C sequestration in surface soils alone from 0 to 360 g C/m 2 /yr (3.60 Mg C/ha/yr) and increase N sequestration from 0 to 24 g N/m2/yr (0.24 Mg N/ha/yr). Additional sequestration benefits would be realized with aboveground forest recovery. Successful mangrove restoration trials and small community-based projects such as those on Marco Island could serve as a model for larger efforts and empower stakeholders and policy makers to restore other wetlands and better manage coastal carbon.
","largerWorkTitle":"Wetland carbon and environmental management","language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch7","usgsCitation":"Cormier, N., Krauss, K., Demopoulos, A., Jessen, B.J., McClain Counts, J., From, A., and Flynn, L.L., 2021, Potential for carbon and nitrogen sequestration by restoring tidal connectivity and enhancing soil surface elevations in denuded and degraded south Florida mangrove ecosystems, chap. of Wetland carbon and environmental management: Geophysical Monograph Series, p. 143-158, https://doi.org/10.1002/9781119639305.ch7.","productDescription":"16 p.","startPage":"143","endPage":"158","ipdsId":"IP-117700","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436156,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P929MIXP","text":"USGS data release","linkHelpText":"Soil surface elevation change and vertical accretion data to support the Fruit Farm Creek Mangrove Restoration Project (Rookery Bay National Estuarine Research Reserve, Marco Island, Florida)"},{"id":407465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Fruit Farm Creek, Marco Island, Rookery Bay National Estuarine Research Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.69708251953125,\n 25.90972531442551\n ],\n [\n -81.66463851928711,\n 25.90972531442551\n ],\n [\n -81.66463851928711,\n 25.935971514362496\n ],\n [\n -81.69708251953125,\n 25.935971514362496\n ],\n [\n -81.69708251953125,\n 25.90972531442551\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":854079,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science 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University","active":true,"usgs":false}],"preferred":false,"id":853086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222183,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jessen, Brita J.","contributorId":223476,"corporation":false,"usgs":false,"family":"Jessen","given":"Brita","email":"","middleInitial":"J.","affiliations":[{"id":40719,"text":"Rookery Bay National Research Reserve","active":true,"usgs":false}],"preferred":false,"id":853089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":219233,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":223021,"corporation":false,"usgs":true,"family":"From","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flynn, Laura L.","contributorId":297015,"corporation":false,"usgs":false,"family":"Flynn","given":"Laura","email":"","middleInitial":"L.","affiliations":[{"id":64277,"text":"Coastal Resources Group, Venice, Florida","active":true,"usgs":false}],"preferred":false,"id":853092,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224272,"text":"70224272 - 2021 - Carbon fluxes and potential soil accumulation within Greater Everglades cypress and pine forested wetlands","interactions":[],"lastModifiedDate":"2022-01-14T17:37:42.02639","indexId":"70224272","displayToPublicDate":"2021-10-15T11:36:26","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Carbon fluxes and potential soil accumulation within Greater Everglades cypress and pine forested wetlands","docAbstract":"In forested wetlands, accumulation of organic matter in soil is partly governed by carbon fluxes where photosynthesis, respiration, lateral advection of waterborne carbon, fire-derived carbon emissions, and methanogenesis are balanced by changes in stored carbon. Stored carbon can eventually accumulate as soil over time if net primary productivity exceeds biomass decomposition. For this study, potential soil accumulation was estimated based on four years of continuous daily carbon cycling data and a one-dimensional mass-balance model of landscape-atmospheric exchange for cypress and pine forested wetlands in the Greater Everglades of south Florida. The mass-balance model was driven by eddy-covariance estimates of vertical net ecosystem exchange of carbon dioxide and methane. Key findings include confirmation of a basic premise of the historic Everglades restoration project; specifically, more water either from rainfall or water management encourages soil carbon accumulation and thus conservation of soils that support biologic activity and ecosystem services. For example, an anomalous wet season for south Florida that flooded the forested wetlands through the traditional dry season was followed by the most productive year for photosynthetic carbon uptake and potential soil accumulation. On the other hand, methane emissions were enhanced by the anomalous wet season and extended flooding – which confirmed a complex tradeoff to consider if wetlands are managed for both soil conservation and reduction of greenhouse gas emissions. Potential soil accumulation rates were about 1.7, 2.8, and 18 millimeters per year at the Dwarf Cypress, Cypress Swamp, and Pine Upland ecosystems, assuming soil C density values of 0.07, 0.09, and 0.02 grams of carbon per cubic centimeter, respectively. For these values of soil C density, the accumulation rates are considered a “best-case” upper limit because the lateral export of carbon in the canals and creeks that drain the study area were assumed negligible.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch20","usgsCitation":"Shoemaker, W.B., Anderson, F.E., Sirianni, M., and Daniels, A., 2021, Carbon fluxes and potential soil accumulation within Greater Everglades cypress and pine forested wetlands, chap. 20 of Wetland carbon and environmental management, p. 371-384, https://doi.org/10.1002/9781119639305.ch20.","productDescription":"14 p.","startPage":"371","endPage":"384","ipdsId":"IP-111043","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":436158,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GFKJCY","text":"USGS data release","linkHelpText":"Potential Accumulation of Soil Organic Matter from Carbon Cycling within Greater Everglades Cypress and Pine Forested Wetlands data"},{"id":394397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.1,\n 25.5\n ],\n [\n -80.5,\n 25.5\n ],\n [\n -80.5,\n 26\n ],\n [\n -81.1,\n 26\n ],\n [\n -81.1,\n 25.5\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":823426,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":823425,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":830889,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Shoemaker, W. Barclay 0000-0002-7680-377X bshoemak@usgs.gov","orcid":"https://orcid.org/0000-0002-7680-377X","contributorId":215239,"corporation":false,"usgs":true,"family":"Shoemaker","given":"W.","email":"bshoemak@usgs.gov","middleInitial":"Barclay","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Frank E. 0000-0002-1418-4678 fanders@usgs.gov","orcid":"https://orcid.org/0000-0002-1418-4678","contributorId":2605,"corporation":false,"usgs":true,"family":"Anderson","given":"Frank","email":"fanders@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, Andre 0000-0003-4172-2344 andre_daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-4172-2344","contributorId":4031,"corporation":false,"usgs":true,"family":"Daniels","given":"Andre","email":"andre_daniels@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":830888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sirianni, Matt 0000-0002-6296-0002","orcid":"https://orcid.org/0000-0002-6296-0002","contributorId":265804,"corporation":false,"usgs":false,"family":"Sirianni","given":"Matt","email":"","affiliations":[{"id":17770,"text":"FAU","active":true,"usgs":false}],"preferred":false,"id":823424,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220231,"text":"70220231 - 2021 - Modeling the impacts of hydrology and management on carbon balance at the Great Dismal Swamp, Virginia and North Carolina, USA","interactions":[],"lastModifiedDate":"2022-03-07T17:39:52.92648","indexId":"70220231","displayToPublicDate":"2021-10-15T11:34:26","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Modeling the impacts of hydrology and management on carbon balance at the Great Dismal Swamp, Virginia and North Carolina, USA","docAbstract":"The impact of drainage on the stability of peatland carbon sinks is well known; however, much less is understood regarding the way active management of the water-table affects carbon balance. In this study, we determined the carbon balance in the Great Dismal Swamp, a large, forested peatland in the southeastern USA, which has been drained for over two hundred years and is now being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. In the Baseline scenario, results show a carbon sink of 0.7 Tg, or an average annual rate of 0.23 Mg C/ha/yr. The Flooded/Wet scenario produced a net ecosystem carbon balance of 4.6 Tg C or an average annual rate of 1.06 Mg C/ha/yr. For the Drained/Dry scenario, under which no management was conducted, and typically dry conditions were assumed, the Great Dismal Swamp becomes a net carbon source at –2.07 Tg C or an average annual rate of –0.38 Mg C/ha/yr.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch21","usgsCitation":"Sleeter, R., 2021, Modeling the impacts of hydrology and management on carbon balance at the Great Dismal Swamp, Virginia and North Carolina, USA, chap. 21 of Wetland carbon and environmental management, p. 385-402, https://doi.org/10.1002/9781119639305.ch21.","productDescription":"18 p.","startPage":"385","endPage":"402","ipdsId":"IP-119032","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":436160,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P970W305","text":"USGS data release","linkHelpText":"Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA"},{"id":396799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.57058715820312,\n 36.42017738514984\n ],\n [\n -76.35223388671875,\n 36.42017738514984\n ],\n [\n -76.35223388671875,\n 36.79389010047562\n ],\n [\n -76.57058715820312,\n 36.79389010047562\n ],\n [\n -76.57058715820312,\n 36.42017738514984\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837369,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":837370,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837371,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Sleeter, Rachel 0000-0003-3477-0436 rsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-0436","contributorId":666,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel","email":"rsleeter@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":814868,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70224318,"text":"70224318 - 2021 - Summary of wetland carbon and environmental management: Path forward","interactions":[],"lastModifiedDate":"2022-01-14T17:47:03.948432","indexId":"70224318","displayToPublicDate":"2021-10-15T11:13:35","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"25","title":"Summary of wetland carbon and environmental management: Path forward","docAbstract":"Wetlands around the world are under pressure from both anthropogenic sources such as land-use change and accelerating climate change (Erwin, 2009; Moomaw et al., 2018). Storage of carbon resources is a key ecosystem service of wetlands and offer natural solutions to climate change mitigation; policies and management actions could determine the fate of these resources and their contributions to climate mitigation and society needs. Inland and tidal wetlands store and sequester more carbon in soil and biomass than any other ecosystems on a per unit area basis, but also are responsible for the majority of ecosystem methane emissions (NASEM, 2019; Knox et al., 2019). Most of wetland carbon is stored deep in soils, thus providing long-term preservation of the resource (Nahlik and Fennessy, 2016). In addition to productive carbon sequestration in situ, wetlands also play a major role in lateral fluxes of carbon and other greenhouse gases along the continuum of different landscape features, including lakes, rivers, and coastal waters (Aufdenkampe et al., 2011; Ciais et al., 2008; Troxler et al., 2013). The ability of wetlands to regulate key processes of the carbon cycle is related to characteristics of the ecosystem, particularly hydrologic functions (Zhou et al., 2018). Disturbances to wetland hydrology, from land use change to natural disturbances such as wildfire, could lead to major disruptions to the wetland carbon cycle (Moomaw et al., 2018).\n\nThis book is organized to first introduce fundamentals of wetland biogeochemistry (Neubauer and Megonigal, 2020) and carbon stock distribution and management in broad geographic and temporal domains, then provide a more in-depth treatment of case studies of different wetland types across the world (Fig. 1). A range of wetland management actions are described in the context of carbon sequestration and greenhouse gas emissions, including hydrology, sediment, avoided loss, restoration, wildfire, and co-habitation of multiple uses. Different wetland types or land uses considered in this book include freshwater herbaceous wetlands, peatlands of temperate as well as tropical climate, coastal tidal marshes and mangroves, drained croplands, and rice paddies.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch25","usgsCitation":"Zhu, Z., Krauss, K., Stagg, C., Ward, E., and Woltz, V., 2021, Summary of wetland carbon and environmental management: Path forward, chap. 25 of Wetland carbon and environmental management, p. 437-446, https://doi.org/10.1002/9781119639305.ch25.","productDescription":"14 p.","startPage":"437","endPage":"446","ipdsId":"IP-120337","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":830894,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":830895,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":823736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":823737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":222386,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":823738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":217389,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":823739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woltz, Victoria 0000-0001-7843-6486","orcid":"https://orcid.org/0000-0001-7843-6486","contributorId":223011,"corporation":false,"usgs":true,"family":"Woltz","given":"Victoria","email":"","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":823740,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237912,"text":"70237912 - 2021 - The importance of wetland carbon dynamics to society: Insight from the Second State of the Carbon Cycle Science Report","interactions":[],"lastModifiedDate":"2022-11-01T15:32:05.331848","indexId":"70237912","displayToPublicDate":"2021-10-15T10:24:40","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":12608,"text":"Geophysical Monograph Series","active":true,"publicationSubtype":{"id":24}},"chapter":"24","title":"The importance of wetland carbon dynamics to society: Insight from the Second State of the Carbon Cycle Science Report","docAbstract":"The Second State of the Carbon Cycle Report (SOCCR2) culminated in 19 chapters that spanned all North American sectors – from Energy Systems to Agriculture and Land Use – known to be important for understanding carbon (C) cycling and accounting. Wetlands, both inland and coastal, were found to be significant components of C fluxes along the terrestrial to aquatic hydrologic continuum. In this chapter, we synthesize the role of wetlands in the overall C footprint of North America (from Canada to Mexico) as one metric of the societal values placed on these terrestrial-aquatic interfaces. We also summarize the effects of management activities and climate change on the wetland C cycle and give some perspectives on the current and future importance of wetlands to society.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch24","usgsCitation":"Kolka, R., Trettin, C., and Windham-Myers, L., 2021, The importance of wetland carbon dynamics to society: Insight from the Second State of the Carbon Cycle Science Report, chap. 24 of Wetland carbon and environmental management: Geophysical Monograph Series, p. 421-436, https://doi.org/10.1002/9781119639305.ch24.","productDescription":"16 p.","startPage":"421","endPage":"436","ipdsId":"IP-120524","costCenters":[{"id":37277,"text":"WMA - Earth System Processes 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and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":856382,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856383,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kolka, Randall","contributorId":115924,"corporation":false,"usgs":false,"family":"Kolka","given":"Randall","affiliations":[],"preferred":false,"id":856183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trettin, Carl","contributorId":210815,"corporation":false,"usgs":false,"family":"Trettin","given":"Carl","affiliations":[{"id":38151,"text":"USDA-Forest Service","active":true,"usgs":false}],"preferred":false,"id":856184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856185,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248819,"text":"70248819 - 2021 - Ecosystem service co-benefits provided through wetland carbon management","interactions":[],"lastModifiedDate":"2023-09-22T14:59:46.733808","indexId":"70248819","displayToPublicDate":"2021-10-15T09:59:09","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"Ecosystem service co-benefits provided through wetland carbon management","docAbstract":"What is the role of wetland carbon management in providing ecosystem services? Ecosystem services are the benefits that nature provides to people, and they are often categorized as: provisioning (e.g., food and water), regulating (e.g., climate mitigation and flood protection), cultural (e.g., cultural and recreational), and supporting (e.g., nutrient cycling) services ( www.millenniumassessment.org/ ). Ecosystem services are a function of the quantity and quality of the ecosystem. External factors such as land development, pollution, fragmentation, resource overuse, and climate change can negatively influence an ecosystem's capacity to provide ecosystem services; conversely, management actions to conserve and restore systems can increase ecosystem services (Pindilli, 2019). Wetland carbon management is a set of preservation, conservation, or restoration actions used to preserve ecosystem function that protects or enhances stored carbon or biologic carbon sequestration, with the intent to regulate climate (see Moomaw et al., 2018). By managing for wetland carbon resources, there is often a co-benefit of the preservation or enhancement of other ecosystem services; it may also increase ecosystem disservices (such as mosquito production). This chapter provides an overview of the types of ecosystem service co-benefits provided by wetland carbon management, with specific examples from the literature.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland carbon and environmental management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781119639305.ch22","usgsCitation":"Pindilli, E., 2021, Ecosystem service co-benefits provided through wetland carbon management, chap. 22 of Wetland carbon and environmental management, p. 401-409, https://doi.org/10.1002/9781119639305.ch22.","productDescription":"9 p.","startPage":"401","endPage":"409","ipdsId":"IP-122236","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":421079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-10-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":883899,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":883900,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":883901,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":883776,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}