Understanding changes in wave attenuation by emergent vegetation as wetlands degrade or accrete over time is crucial for incorporation of wetlands into holistic coastal risk management. Linked SLAMM and XBeach models were used to investigate potential future changes in wave attenuation over a 50-year period in a degrading, subtropical wetland and a prograding, temperate wetland. These contrasting systems also have differing management contexts and were contrasted to demonstrate how the linked models can provide management-relevant insights. Morphological development of wetlands for different scenarios of sea-level rise and accretion was simulated with SLAMM and then coupled with different vegetation characteristics to predict the influence on future wave attenuation using XBeach. The geomorphological context, subsidence, and accretion resulted in large predicted reductions in the extent of vegetated land (e.g., wetland) and changes in wave height reduction potential across the wetland. These were exacerbated by increases in sea-level from +0.217 m to +0.386 m over a 50-year period, especially at the lowest accretion rates in the degrading wetland. Mangrove vegetation increased wave attenuation within the degrading, subtropical, saline wetland, while grazing reduced wave attenuation in the temperate, prograding wetland. Coastal management decisions and actions, related to coastal vegetation type and structure, have the potential to change future wave attenuation at a spatial scale relevant to coastal protection planning. Therefore, a coastal management approach that includes disaster risk reduction, biodiversity, and climate change, can be informed by coastal modeling tools, such as those demonstrated here for two contrasting case studies.
We investigated the morphology, biostratigraphy, shell stable isotope composition and paleogeography of the common Arctic benthic foraminifera, Cassidulina teretis (Tappan 1951) (sometimes assigned to Islandiella (Nørvang 1958), for application to Quaternary paleoceanography. Cassidulina teretis, which has been studied by several generations of Arctic foraminiferal specialists, is used in Arctic Ocean paleoceanographic reconstructions based on foraminiferal assemblages and, increasingly, isotope shell chemistry. Here we review its modern and fossil distribution including discussions of its taxonomy, ecology, biostratigraphy and shell chemistry. Cassidulina teretis Tappan 1951, originally described from the Gubik Formation, northern Alaska coastal plain, has variability in test size, apertural morphology and development of an umbilical boss representing intra- and inter-population differences across the Arctic and subarctic in modern, Quaternary and Pliocene assemblages. Nonetheless, our studies and those previously published lead us to conclude that populations from the Arctic Ocean represent a single species proposed by Tappan as Cassidulina teretis. Its modern distribution is mainly 200 to 1000 m water depth, often living within the core of the relatively warm Atlantic Layer. However, shallower occurrences suggest other factors, such as food supply, are also critical to its ecology. The Holocene distribution of Cassidulina teretis in the Beaufort Sea boundary indicate millennial-scale changes in relative abundance related to changing Atlantic Layer influence, sea-ice cover, surface productivity and food availability. There are extremely large changes in its abundance during the last deglacial interval on the Yermak Plateau, Barents Sea slope and the Laptev Sea reflecting rapid ocean changes during the Bølling-Allerød, Younger Dryas, and Preboreal. Similarly, C. teretis abundance changes during the last 300,000 years allow us to use it, at least regionally, as a useful biostratigraphic marker. The stable isotopic composition of Cassidulina teretis tests holds promise for establishing an isotope stratigraphy across the Arctic Ocean and perhaps also in the Nordic Seas, off Iceland and in the northern North Atlantic Ocean, once disequilibrium values and offsets from other Arctic benthic species are more firmly established.
","language":"English","publisher":"Micro Press","usgsCitation":"Cronin, T.M., Seidenstein, J., Keller, K., McDougall-Reid, K., Reufer, A., and Gemery, L., 2019, The benthic foraminifera cassidulina from the Arctic Ocean: Application to paleoceanography and biostratigraphy: Micropaleontology, v. 65, no. 2, p. 105-125.","productDescription":"21 p.","startPage":"105","endPage":"125","ipdsId":"IP-097014","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385617,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-347/article-2119"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seidenstein, Julia","contributorId":243162,"corporation":false,"usgs":false,"family":"Seidenstein","given":"Julia","affiliations":[],"preferred":false,"id":815571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":815572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":815573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reufer, Ana","contributorId":258025,"corporation":false,"usgs":false,"family":"Reufer","given":"Ana","email":"","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":815574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":815645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203953,"text":"70203953 - 2019 - Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity","interactions":[],"lastModifiedDate":"2019-08-13T15:55:47","indexId":"70203953","displayToPublicDate":"2019-05-13T17:13:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity","docAbstract":"Because natural ecosystems are complex, it is difficult to predict how their variability scales across space and levels of organization. The species‐insurance hypothesis predicts that asynchronous dynamics among species should reduce variability when biomass is aggregated either from local species populations to local multispecies communities, or from metapopulations to metacommunities. Similarly, the spatial‐insurance hypothesis predicts that asynchronous spatial dynamics among either local populations or local communities should stabilize metapopulation biomass and metacommunity biomass, respectively. In combination, both species and spatial insurance reduce variation in metacommunity biomass over time, yet these insurances are rarely considered together in natural systems. We partitioned the extent that species insurance and spatial insurance reduced the annual variation in macroalgal biomass in a southern California kelp forest. We quantified variability and synchrony at two levels of organization (population and community) and two spatial scales (local plots and region) and quantified the strength of species and spatial insurance by comparing observed variability and synchrony in aggregate biomass to null models of independent species or spatial dynamics based on cyclic‐shift permutation. Spatial insurance was weak, presumably because large‐scale oceanographic processes in the study region led to high spatial synchrony at both population‐ and community‐level biomass. Species insurance was stronger due to asynchronous dynamics among the metapopulations of a few common species. In particular, a regional decline in the dominant understory kelp species Pterygophora californica was compensated for by the rise of three subdominant species. These compensatory dynamics were associated with positive values of the Pacific Decadal Oscillation, indicating that differential species tolerances to warmer temperature and nutrient‐poor conditions may underlie species insurance in this system. Our results illustrate how species insurance can stabilize aggregate community properties in natural ecosystems where environmental conditions vary over broad spatial scales.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2719","usgsCitation":"Lamy, T., Wang, S., Renard, D., Lafferty, K.D., Reed, D.C., and Miller, R.J., 2019, Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity: Ecology, v. 100, no. 2, e02719, 10 p., https://doi.org/10.1002/ecy.2719.","productDescription":"e02719, 10 p.","ipdsId":"IP-104448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamy, Thomas","contributorId":203605,"corporation":false,"usgs":false,"family":"Lamy","given":"Thomas","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Shaopeng","contributorId":216516,"corporation":false,"usgs":false,"family":"Wang","given":"Shaopeng","email":"","affiliations":[{"id":39466,"text":"Peking University, Beijing","active":true,"usgs":false}],"preferred":false,"id":764935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renard, Delphine","contributorId":216517,"corporation":false,"usgs":false,"family":"Renard","given":"Delphine","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Daniel C.","contributorId":203607,"corporation":false,"usgs":false,"family":"Reed","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Robert J.","contributorId":176277,"corporation":false,"usgs":false,"family":"Miller","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":764938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202335,"text":"ofr20191016 - 2019 - Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models","interactions":[],"lastModifiedDate":"2019-05-14T11:43:13","indexId":"ofr20191016","displayToPublicDate":"2019-05-13T11:35:20","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1016","displayTitle":"Analysis for Agreement of the Northern Gulf of Mexico Topobathymetric Digital Elevation Model with 3-Dimensional Elevation Program 1/3 Arc-Second Digital Elevation Models","title":"Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models","docAbstract":"Topographical differencing and edge-matching analyses were used to evaluate agreement of the Coastal National Elevation Database Applications Project’s Northern Gulf of Mexico topobathymetric digital elevation model (TBDEM) with The National Map 3-Dimensional Elevation Program (3DEP) 1/3 arc-second digital elevation models (DEMs). In addition to topographic map products provided through the National Geospatial Program, the model integrates bathymetric and topobathymetric datasets for three-dimensional (3D) mapping of rivers, lakes, and bays in the upland and intertidal wetlands to offshore environments in coastal zones from the border between Texas and Louisiana to east of Mobile Bay, Alabama.
Contoured elevation differences between the Northern Gulf of Mexico TBDEM and the 3DEP 1/3 arc-second DEMs indicate that 85 percent of elevation data in the Northern Gulf of Mexico TBDEM agree (no difference for contoured elevations) between 95 and 100 percent with 3DEP 1/3 arc-second DEMs. Edge matching differences between adjacent Northern Gulf of Mexico TBDEM source projects or between the TBDEM and 3DEP DEMs indicate most seams between integrated and 3DEP DEMs are smooth. Where seams did not match, most differences were in the range of tenths to hundredths of a meter. Valid differences that are greater than plus or minus 2 meters in areas of bathymetric data are found in the Mississippi River, Atchafalaya River, Lower Atchafalaya River, Wax Lake Pass channel, the Vermilion Bay bathymetric datasets, and where topobathymetric datasets are integrated in the model. Areas with positive or negative outlier difference elevations seem to be a result of site conditions that affect light detection and ranging (lidar) waveform return signals, misclassification of surface features, or possibly because of interpolation required to develop a smooth elevation surface. Results of this analysis provide information to help understand model parameters and agreement of the Northern Gulf of Mexico TBDEM developed using different data types from different sources with The National Map 3DEP DEMs.
Inclusion of bathymetric and topobathymetric data types in the 3DEP aligns with the mission to respond to growing needs for a wide range of three-dimensional representations of the Nation and supports the U.S. Geological Survey strategy for developing a National Terrain Model to provide hydrographic and elevation data that extend the elevation surface below water bodies. The 3D Nation Requirements and Benefits Study sponsored by the U.S. Geological Survey and National Oceanic and Atmospheric Administration to assess local to regional Tribal, State, and Federal technical requirements, needs, and benefits for using topographic and bathymetric 3DEP elevation data will be used to help develop and refine future program alternatives for 3D elevation data that include a category for bathymetry and topobathymetry. At the time of this report (2019), 3DEP acquisition is specific to topographic lidar that meets lidar DEM specifications and which requires surface-water feature areas to be hydroflattened. Cataloging bathymetric and topobathymetric DEMs as part of the 3DEP will require new specifications for acoustic, lidar, merged acoustic and lidar, and possibly other bathymetric and topobathymetric survey data types.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191016","usgsCitation":"Miller-Corbett, C., 2019, Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models: U.S. Geological Survey Open-File Report 2019–1016, 44 p., https://doi.org/10.3133/ofr20191016.","productDescription":"vi, 43 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-081383","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":363655,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1016/ofr20191016.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1016"},{"id":363654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1016/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.48193359375,\n 28.43971381702788\n ],\n [\n -84.13330078125,\n 28.43971381702788\n ],\n [\n -84.13330078125,\n 31.39115752282472\n ],\n [\n -96.48193359375,\n 31.39115752282472\n ],\n [\n -96.48193359375,\n 28.43971381702788\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Human activity has altered 33–50% of Earth's surface, including temperate grasslands and sagebrush rangelands, resulting in a loss of biodiversity. By promoting habitat for sensitive or wide‐ranging species, less exigent species may be protected in an umbrella effect. The greater sage‐grouse (Centrocercus urophasianus; sage‐grouse) has been proposed as an umbrella for other sagebrush‐obligate species because it has an extensive range that overlaps with many other species, it is sensitive to anthropogenic activity, it requires resources over large landscapes, and its habitat needs are known. The efficacy of the umbrella concept, however, is often assumed and rarely tested. Therefore, we surveyed sage‐grouse pellet occurrence and sagebrush‐associated songbird abundance in northwest Colorado, USA, to determine the amount of habitat overlap between sage‐grouse and 4 songbirds (Brewer's sparrow [Spizella breweri], sage thrasher [Oreoscoptes montanus], sagebrush sparrow [Artemisiospiza nevadensis]), and green‐tailed towhee [Pipilo chlorurus]). During May and June 2013–2015, we conducted standard point count breeding surveys for songbirds and counted sage‐grouse pellets within 300 10‐m radius plots. We modeled songbird abundance and sage‐grouse pellet occurrence with multi‐scaled environmental features, such as sagebrush cover and bare ground. To evaluate sage‐grouse as an umbrella for sagebrush‐associated passerines, we determined the correlation between probability of sage‐grouse pellet occurrence and model‐predicted songbird densities per sampling plot. We then classified the sage‐grouse probability of occurrence as high (probability >0.5) and low (probability ≤0.5) and mapped model‐predicted surfaces for each species in our study area. We determined average songbird density in areas of high and low probability of sage‐grouse occurrence. Sagebrush cover at intermediate scales was an important predictor for all species, and ground cover was important for all species except sage thrashers. Areas with a higher probability of sage‐grouse occurrence also contained higher densities of Brewer's sparrows, green‐tailed towhees, and sage thrashers, but predicted sagebrush sparrow densities were lower in these areas. In northwest Colorado, sage‐grouse may be an effective umbrella for Brewer's sparrows, green‐tailed towhees, and sage thrashers, but sage‐grouse habitat does not appear to capture areas that support high sagebrush sparrow densities. A multi‐species focus may be the best management and conservation strategy for several species of concern, especially those with conflicting habitat requirements.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21663","usgsCitation":"Timmer, J.M., Aldridge, C.L., and Fernandez-Gimenez, M., 2019, Managing for multiple species: Greater sage‐grouse and sagebrush songbirds: Journal of Wildlife Management, v. 83, no. 5, p. 1043-1056, https://doi.org/10.1002/jwmg.21663.","productDescription":"14 p.","startPage":"1043","endPage":"1056","ipdsId":"IP-104297","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Moffat County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-107.3181,41.0035],[-107.3178,40.9852],[-107.3177,40.9789],[-107.3175,40.9707],[-107.3171,40.9503],[-107.317,40.9412],[-107.3173,40.929],[-107.3171,40.9145],[-107.3167,40.8596],[-107.3166,40.856],[-107.3157,40.8378],[-107.3145,40.7748],[-107.3144,40.7716],[-107.3131,40.7013],[-107.3131,40.699],[-107.3128,40.6854],[-107.3126,40.6723],[-107.3121,40.6142],[-107.3119,40.5997],[-107.3688,40.5996],[-107.3683,40.5429],[-107.427,40.5427],[-107.427,40.5132],[-107.4276,40.4238],[-107.4294,40.3612],[-107.4297,40.3467],[-107.43,40.3322],[-107.4402,40.3321],[-107.4382,40.2618],[-107.4389,40.2235],[-107.4396,40.219],[-107.7614,40.2214],[-107.8192,40.2211],[-107.8758,40.2207],[-107.8945,40.2209],[-107.9144,40.221],[-107.9523,40.2213],[-107.9891,40.2217],[-108.0084,40.2218],[-108.0855,40.2224],[-108.1042,40.2225],[-108.1626,40.2225],[-108.1819,40.2226],[-108.2011,40.2227],[-108.218,40.2229],[-108.2367,40.2225],[-108.256,40.2226],[-108.2945,40.2224],[-108.3313,40.2222],[-108.3891,40.2225],[-108.4083,40.2221],[-108.4445,40.2223],[-108.5023,40.2221],[-108.5216,40.2217],[-108.5577,40.2219],[-108.5975,40.2215],[-108.6553,40.2212],[-108.6692,40.2214],[-109.051,40.2228],[-109.0514,40.2608],[-109.0514,40.2753],[-109.0514,40.2844],[-109.0513,40.292],[-109.0512,40.3206],[-109.0509,40.3583],[-109.0509,40.3874],[-109.0509,40.4041],[-109.0508,40.419],[-109.0507,40.4491],[-109.0508,40.4636],[-109.0508,40.4713],[-109.0508,40.4767],[-109.0505,40.4931],[-109.0503,40.5317],[-109.0501,40.5774],[-109.0501,40.5793],[-109.0501,40.5933],[-109.0501,40.6096],[-109.0501,40.6515],[-109.0501,40.6545],[-109.0499,40.666],[-109.0501,40.6949],[-109.0499,40.7516],[-109.0499,40.7693],[-109.0498,40.7834],[-109.0497,40.824],[-109.0493,40.8433],[-109.0493,40.8453],[-109.0492,40.8587],[-109.0488,40.8866],[-109.0489,40.9036],[-109.0487,40.9107],[-109.049,40.9268],[-109.0488,40.9479],[-109.049,41],[-108.9729,41.0002],[-108.9315,41.0001],[-108.912,41.0001],[-108.7655,41.0002],[-108.746,41.0002],[-108.6516,41.0005],[-108.6321,41.0005],[-108.5699,41.0003],[-108.3781,40.9997],[-108.3745,40.9997],[-108.3118,41],[-108.2923,41.0001],[-108.263,41.0003],[-108.2186,41.0007],[-108.1808,41.001],[-108.0007,41.0025],[-107.966,41.0028],[-107.9154,41.0029],[-107.888,41.0029],[-107.8801,41.0029],[-107.8521,41.0029],[-107.8391,41.0028],[-107.8326,41.0028],[-107.8206,41.0028],[-107.8131,41.0028],[-107.7845,41.0028],[-107.7078,41.0028],[-107.6767,41.0028],[-107.6049,41.0028],[-107.5288,41.0026],[-107.5136,41.0026],[-107.5093,41.0026],[-107.4947,41.0026],[-107.4575,41.0027],[-107.4137,41.0029],[-107.3948,41.003],[-107.3674,41.0032],[-107.3437,41.0033],[-107.3181,41.0035]]]},\"properties\":{\"name\":\"Moffat\",\"state\":\"CO\"}}]}","volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Timmer, Jennifer M.","contributorId":140717,"corporation":false,"usgs":false,"family":"Timmer","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":805435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":805436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez-Gimenez, Maria E","contributorId":245143,"corporation":false,"usgs":false,"family":"Fernandez-Gimenez","given":"Maria E","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":805437,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205447,"text":"70205447 - 2019 - A comparative analysis of common methods to identify waterbird hotspots","interactions":[],"lastModifiedDate":"2019-09-18T18:19:42","indexId":"70205447","displayToPublicDate":"2019-05-11T18:13:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A comparative analysis of common methods to identify waterbird hotspots","docAbstract":"1. Hotspot analysis is a commonly used method in ecology and conservation to identify areas of high biodiversity or conservation concern. However, delineating and mapping hotspots is subjective and various approaches can lead to different conclusions with regard to the classification of particular areas as hotspots, complicating long-term conservation planning and implementation efforts.
2. We present a comparative analysis of recent approaches for identifying waterbird hotspots, with the goal of developing insights about the appropriate use of these methods. We selected four commonly used measures to identify persistent areas of high use: kernel density estimation, Getis-Ord Gi*, hotspot persistence, and hotspots conditional on presence, which represent the range of quantitative hotspot estimation approaches used in waterbird analyses. We applied each of the methods to aerial survey waterbird count data collected in the Great Lakes from 2012-2014 using a 5 km2 grid. For each approach, we identified areas of high use for seven species/species groups and then compared the results across all methods.
3. Our results indicate that formal hotspot analysis frameworks do not always lead to the same conclusions. The kernel density and Getis-Ord Gi* methods yielded the most similar results across all species analyzed. We found that these two models can differ substantially from the hotspot persistence and hotspots conditional on presence estimation approaches, which were not consistently similar to one another. The hotspot persistence approach differed most significantly from the other methods but is the only method to explicitly account for temporal variation.
4. We recommend considering the ecological question and scale of any conservation or management activities prior to designing survey methodologies. Deciding the appropriate definition and scale for analysis is critical for interpretation of hotspot analysis results. Combining methods using an integrative approach, either within a single analysis or post-hoc, could lead to greater consistency in the identification of waterbird hotspots.
","language":"English","publisher":"British Ecological society","doi":"10.1111/2041-210X.13209","usgsCitation":"Sussman, A.L., Gardner, B., Adams, E.M., Salas, L., Kenow, K.P., Luukkonen, D.R., Monfils, M.J., Mueller, W.P., Williams, K.A., Leduc-Lapierre, M., and Zipkin, E.F., 2019, A comparative analysis of common methods to identify waterbird hotspots: Methods in Ecology and Evolution, v. 10, no. 9, p. 1454-1468, https://doi.org/10.1111/2041-210X.13209.","productDescription":"15 p.","startPage":"1454","endPage":"1468","ipdsId":"IP-091670","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13209","text":"Publisher Index Page"},{"id":367534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie, Lake Huron, Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.76953125,\n 41.21172151054787\n ],\n [\n -78.75,\n 41.21172151054787\n ],\n [\n -78.75,\n 46.164614496897094\n ],\n [\n -88.76953125,\n 46.164614496897094\n ],\n [\n -88.76953125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sussman, Allison L.","contributorId":219074,"corporation":false,"usgs":false,"family":"Sussman","given":"Allison","email":"","middleInitial":"L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":771216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, 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Extension","active":true,"usgs":false}],"preferred":false,"id":771221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, William P.","contributorId":219078,"corporation":false,"usgs":false,"family":"Mueller","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":39958,"text":"Western Great Lakes Bird and Bat Observatory","active":true,"usgs":false}],"preferred":false,"id":771222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kate A.","contributorId":219079,"corporation":false,"usgs":false,"family":"Williams","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":771223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leduc-Lapierre, Michelle","contributorId":219080,"corporation":false,"usgs":false,"family":"Leduc-Lapierre","given":"Michelle","email":"","affiliations":[{"id":13509,"text":"Great 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Biology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial assemblages reflect environmental heterogeneity in alpine streams","docAbstract":"Alpine streams are dynamic habitats harboring substantial biodiversity across small spatial extents. The diversity of alpine stream biota is largely reflective of environmental heterogeneity stemming from varying hydrological sources. Globally, alpine stream diversity is under threat as meltwater sources recede and stream conditions become increasingly homogeneous. Much attention has been devoted to macroinvertebrate diversity in alpine headwaters, yet to fully understand the breadth of climate change threats, a more thorough accounting of microbial diversity is needed. We characterized microbial diversity (specifically Bacteria and Archaea) of 13 streams in two disjunct Rocky Mountain subranges through 16S rRNA gene sequencing. Our study encompassed the spectrum of alpine stream sources (glaciers, snowfields, subterranean ice, and groundwater) and three microhabitats (ice, biofilms, and streamwater). We observed no difference in regional (γ) diversity between subranges but substantial differences in diversity among (β) stream types and microhabitats. Within‐stream (α) diversity was highest in groundwater‐fed springs, lowest in glacier‐fed streams, and positively correlated with water temperature for both streamwater and biofilm assemblages. We identified an underappreciated alpine stream type—the icy seep—that are fed by subterranean ice, exhibit cold temperatures (summer mean <2°C), moderate bed stability, and relatively high conductivity. Icy seeps will likely be important for combatting biodiversity losses as they contain similar microbial assemblages to streams fed by surface ice yet may be buffered against climate change by insulating debris cover. Our results show that the patterns of microbial diversity support an ominous trend for alpine stream biodiversity; as meltwater sources decline, stream communities will become more diverse locally, but regional diversity will be lost. Icy seeps, however, represent a source of optimism for the future of biodiversity in these imperiled ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14683","usgsCitation":"Hotaling, S., Foley, M., Zeglin, L., Finn, D.S., Tronstad, L., Giersch, J.J., Muhlfeld, C.C., and Weisrock, D.W., 2019, Microbial assemblages reflect environmental heterogeneity in alpine streams: Global Change Biology, v. 25, no. 8, p. 2576-2590, https://doi.org/10.1111/gcb.14683.","productDescription":"15 p.","startPage":"2576","endPage":"2590","ipdsId":"IP-105125","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.11474609375001,\n 47.07386310181414\n ],\n [\n -112.30224609374999,\n 47.07386310181414\n ],\n [\n -112.30224609374999,\n 49.001843917978526\n ],\n [\n -115.11474609375001,\n 49.001843917978526\n ],\n [\n -115.11474609375001,\n 47.07386310181414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":789623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Mary E.","contributorId":224817,"corporation":false,"usgs":false,"family":"Foley","given":"Mary E.","affiliations":[{"id":40945,"text":"Department of Biology, University of Kentucky, Lexington, KY, USA","active":true,"usgs":false}],"preferred":false,"id":789624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeglin, Lydia","contributorId":224818,"corporation":false,"usgs":false,"family":"Zeglin","given":"Lydia","affiliations":[{"id":40946,"text":"Division of Biology, Kansas State University, Manhattan, KS, USA","active":true,"usgs":false}],"preferred":false,"id":789625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Debra S.","contributorId":198312,"corporation":false,"usgs":false,"family":"Finn","given":"Debra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":789626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tronstad, Lusha M.","contributorId":224819,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":40947,"text":"Wyoming Natural Diversity Database, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":789627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weisrock, David W.","contributorId":198313,"corporation":false,"usgs":false,"family":"Weisrock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":789630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203601,"text":"70203601 - 2019 - Eradication of two non-native cichlid fishes in Miami, Florida (USA)","interactions":[],"lastModifiedDate":"2019-06-12T13:15:57","indexId":"70203601","displayToPublicDate":"2019-05-10T14:52:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Eradication of two non-native cichlid fishes in Miami, Florida (USA)","docAbstract":"The proliferation of non-native fishes in Florida is a serious problem, and new species continue to be introduced to the state. Fishes in the Family Cichlidae have been especially successful colonizers of south Florida freshwater habitats. Herein we report a multi-agency effort to eradicate two non-native cichlid fishes in Miami, Florida (Bay Snook Petenia splendida and Blue Mbuna Labeotropheus fuelleborni). These fishes were removed before they were observed in the extensive, interconnected canal system through which they may have been able to expand throughout south Florida and access protected areas such as Everglades National Park. The study site, Pinecrest Gardens, is important because it contains remnant coastal cypress-strand habitat in an increasingly urbanized landscape that historically provided refuge to native amphidromous fishes and invertebrates. The project took considerable time (3.5 years), and we detail in this report how it evolved from a focus on isolating the non-native fishes and reducing their population sizes to an eradication. Gardens’ staff hydrologically isolated their ponds from nearby waterbodies by plugging a culvert with a solid gate. That provided the interagency team with more time to remove the potential threats. Compromises were made between fish management strategies and the Gardens’ priorities. Hurricane impacts helped shift priorities to more aggressive fish-management strategies. Cooperation among several federal and state agencies, as well as the Gardens, was key to the project’s success. We hope this effort may serve as a model for removing non-native species before they spread into ecosystems where eradication is not practical.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.2.06","usgsCitation":"Schofield, P.J., Jelks, H.L., and Gestring, K.B., 2019, Eradication of two non-native cichlid fishes in Miami, Florida (USA): Management of Biological Invasions, v. 10, no. 2, p. 296-310, https://doi.org/10.3391/mbi.2019.10.2.06.","productDescription":"15 p.","startPage":"296","endPage":"310","ipdsId":"IP-097111","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.2.06","text":"Publisher Index Page"},{"id":437467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EWSGZB","text":"USGS data release","linkHelpText":"Removing threats before they spread: Eradication of two non-native fishes in Miami, Florida (USA)"},{"id":364130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","city":"Miami","volume":"10","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gestring, Kelly B.","contributorId":210849,"corporation":false,"usgs":false,"family":"Gestring","given":"Kelly","email":"","middleInitial":"B.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":763229,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204238,"text":"70204238 - 2019 - A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","interactions":[],"lastModifiedDate":"2019-08-13T15:39:03","indexId":"70204238","displayToPublicDate":"2019-05-10T10:18:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","docAbstract":"Accurate methods to track changes in lake productivity through time and space are critical to fisheries management. Chlorophyll a is the most widely studied proxy for ecosystem primary production, and has been the topic of many studies. The main sources of chlorophyll a measurements are ship-based measures or multi-spectral satellite data. Autonomous underwater vehicles can survey large spatial extents approaching the scale of satellite data, but with the accuracy of ship-based water sampling methods. We use several statistical measures to compare measures of chlorophyll a collected in Lake Michigan with spatiotemporally matched satellite-derived measures of chlorophyll a from the MODIS Aqua multi-spectral sensor using NASA’s OC3 and the Great Lakes Fit algorithms. Our findings show a near one to one relationship between AUV data and both satellite-derived data sets when the AUV data are coarsened to the resolution of the satellite data. A comparison of satellite-based chlorophyll a to AUV-derived chlorophyll summarized in discrete water depth bins suggested that, based on decreasing coefficients of determination, satellite estimates of chlorophyll accounted for the most variability in chlorophyll a concentrations in the upper 10 m of the water column, even though satellite sensors may detect past this depth.
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Center","active":true,"usgs":true}],"preferred":true,"id":766120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":216543,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobson, Brett","contributorId":216922,"corporation":false,"usgs":false,"family":"Hobson","given":"Brett","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieft, Brian","contributorId":216923,"corporation":false,"usgs":false,"family":"Kieft","given":"Brian","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203446,"text":"70203446 - 2019 - Responses of Native American cultural heritage to changes in environmental setting","interactions":[],"lastModifiedDate":"2020-12-08T17:58:35.644759","indexId":"70203446","displayToPublicDate":"2019-05-10T08:38:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5832,"text":"AlterNative: An International Journal of Indigenous Peoples","active":true,"publicationSubtype":{"id":10}},"title":"Responses of Native American cultural heritage to changes in environmental setting","docAbstract":"Cultural expressions of American Indian and Alaska Natives (AIAN) reflect the relationship between AIAN and the plant and animal species present in an area. Different forces that modify that relationship and influence those expressions can potentially shape AIAN cultural heritage and even compromise their cultural identity. Herein, we propose seven modalities to illustrate how AIAN cultural expressions may respond to changes in environmental settings that alter the relationship between plant and animal assemblages, and Native peoples. Each modality provides insight into the vulnerability, resilience, and adaptive capacity of AIAN cultural expressions to changes in environmental settings. Future research may delve deeper into these modalities and help identify appropriate methods for managing culturally important resources. More culturally sensitive management approaches may strengthen conservation practices and safeguard the cultural legacy of indigenous groups.","language":"English","publisher":"SAGE","doi":"10.1177/1177180119847726","usgsCitation":"Bisbal, G.A., and Jones, C.E., 2019, Responses of Native American cultural heritage to changes in environmental setting: AlterNative: An International Journal of Indigenous Peoples, v. 15, no. 4, p. 359-367, https://doi.org/10.1177/1177180119847726.","productDescription":"9 p.","startPage":"359","endPage":"367","ipdsId":"IP-097225","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":363813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisbal, Gustavo A. 0000-0002-6674-9941","orcid":"https://orcid.org/0000-0002-6674-9941","contributorId":213767,"corporation":false,"usgs":true,"family":"Bisbal","given":"Gustavo","email":"","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":762736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Chas E 0000-0002-6089-2608","orcid":"https://orcid.org/0000-0002-6089-2608","contributorId":215587,"corporation":false,"usgs":false,"family":"Jones","given":"Chas","email":"","middleInitial":"E","affiliations":[{"id":39288,"text":"Affiliated Tribes of Northwest Indians","active":true,"usgs":false}],"preferred":false,"id":762737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204561,"text":"70204561 - 2019 - A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags","interactions":[],"lastModifiedDate":"2019-08-05T09:47:02","indexId":"70204561","displayToPublicDate":"2019-05-10T07:17:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags","title":"A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags","docAbstract":"In fish tagging studies, tag size limits the size of fish that can be tagged, the fraction of a population that can be represented, and ultimately inferences that can be made about the study population, particularly when juvenile fish are the subject of interest. Introduction of an 8-mm passive integrated transponder (PIT) reduced the minimum taggable size of fish, but it has not been evaluated in field trials. We evaluated the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm PIT tags in four streams in southwest Washington, USA.
A total of 351 PIT tagged fish and 340 control fish (marked with pelvic fin clips) were released, but recapture rates were low, particularly for control fish. Growth in length and mass did not differ between small (42–54 mm) and large (55–64 mm) PIT tagged fish. There was a slightly positive, but weak, relation between tag burden and growth in mass; however, there was considerable variability in this relation (R2 = 0.115). Summer to autumn joint probability of fish surviving and remaining in the study area estimated with a Bayesian mark-recapture model ranged from 0.228 to 0.478 in study streams. We found no significant relation between tag burden and survival, suggesting neither tag burden nor fish size at tagging affected survival.
Although this study was limited in scope, it provided insight into how age-0 O. mykiss tagged with 8-mm PIT tags grew and survived under natural conditions. We showed that fish as small as 42 mm could be tagged without detrimental effects, which should allow researchers to represent a larger portion of study populations through PIT tagging.
","language":"English","publisher":"BioMed Central Ltd","doi":"10.1186/s40317-019-0171-9","usgsCitation":"Tiffan, K., Jezorek, I., and Perry, R., 2019, A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags: Animal Biotelemetry, v. 7, Article 9, 8 p., https://doi.org/10.1186/s40317-019-0171-9.","productDescription":"Article 9, 8 p.","ipdsId":"IP-102909","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":460385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-019-0171-9","text":"Publisher Index Page"},{"id":366095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.76074218749999,\n 45.897654534346906\n ],\n [\n -119.10278320312499,\n 45.897654534346906\n ],\n [\n -119.10278320312499,\n 47.69497434186282\n ],\n [\n -124.76074218749999,\n 47.69497434186282\n ],\n [\n -124.76074218749999,\n 45.897654534346906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217813,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":217814,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203553,"text":"70203553 - 2019 - Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","interactions":[],"lastModifiedDate":"2019-06-18T12:13:56","indexId":"70203553","displayToPublicDate":"2019-05-09T09:52:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","docAbstract":"Agricultural production on wetland soils can be significant sources of dissolved organic carbon (DOC), disinfection byproduct precursors, mercury and nutrients to downstream water bodies and accelerate land subsidence. Presented as a potential solution for in-situ water quality improvement and land subsidence mitigation, chemically enhanced treatment wetlands (CETWs) were used to leverage both coagulation and wetland processes. In this study, we evaluated the performance of coagulants ferric sulfate (Fe dosing) and polyaluminum chloride (Al dosing) to remove pollutants from agricultural drain water using the coagulation system designed for CETWs. Both coagulation treatments removed over 70% DOC from source waters, resulting in removal efficiencies (mg-DOC removed per mg-metal dosed) of 1 under Al dosing and 0.5 under Fe dosing. Coagulation by both treatments preferentially removed UV254 active compounds compared to the bulk DOC concentration, suggesting coagulation targeted aromatics more effectively. Phosphates and haloacetic acids were also removed more readily, whereas trihalomethanes, dissolved organic nitrogen and filtered mercury species were removed at similar or lower rates than DOC. Dissolved inorganic nitrogen was not amenable to coagulation and removal was not observed. Freundlich, Langmuir and Monod models explained 33% of the variance for Al dosing and 78 – 89% of the variance for Fe dosing. All three models indicated Al dosing had higher removal efficiency and affinity for DOC than Fe dosing under study conditions, but when used to predict maximum removal efficiency there was no cohesiveness between the three models due to different model assumptions. Consideration of fluorescence dissolved organic matter and UV254 as surrogates for DOC concentration showed both were equally suitable before coagulant application, but as surrogates after coagulant application, neither could be deemed more fit as a surrogate since both were shown suitable for different treatment scenarios.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.02.015","usgsCitation":"Bachand, S.M., Kraus, T.E., Stern, D., Ling Liang, Y., Horwath, W.R., and Bachand, P.A., 2019, Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water: Ecological Engineering, v. 134, p. 26-38, https://doi.org/10.1016/j.ecoleng.2019.02.015.","productDescription":"13 p.","startPage":"26","endPage":"38","ipdsId":"IP-099173","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.02.015","text":"Publisher Index Page"},{"id":364087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stern, Dylan 0000-0001-5676-8711","orcid":"https://orcid.org/0000-0001-5676-8711","contributorId":215742,"corporation":false,"usgs":false,"family":"Stern","given":"Dylan","email":"","affiliations":[{"id":39311,"text":"Delta Stewardship Program, Aquatic Science Program","active":true,"usgs":false}],"preferred":false,"id":763119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ling Liang, Yan 0000-0001-5999-3148","orcid":"https://orcid.org/0000-0001-5999-3148","contributorId":207555,"corporation":false,"usgs":false,"family":"Ling Liang","given":"Yan","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205124,"text":"70205124 - 2019 - oSCR: A spatial capture–recapture R package for inference about spatial ecological processes","interactions":[],"lastModifiedDate":"2019-09-04T15:47:48","indexId":"70205124","displayToPublicDate":"2019-05-08T15:45:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"oSCR: A spatial capture–recapture R package for inference about spatial ecological processes","docAbstract":"Spatial capture–recapture (SCR) methods have become widely applied in ecology. The immediate adoption of SCR is due to the fact that it resolves some major criticisms of traditional capture–recapture methods related to heterogeneity in detectabililty, and the emergence of new technologies (e.g. camera traps, non‐invasive genetics) that have vastly improved our ability to collection spatially explicit observation data on individuals. However, the utility of SCR methods reaches far beyond simply convenience and data availability. SCR presents a formal statistical framework that can be used to test explicit hypotheses about core elements of population and landscape ecology, and has profound implications for how we study animal populations. In this software note, we describe the technical basis and analytical workflow of oSCR, an R package for analyzing spatial encounter history data using a multi‐session sex‐structured likelihood. The impetus for developing oSCR was to create an accessible and transparent analysis tool that allows users to conveniently and intuitively formulate statistical models that map directly to fundamental processes of interest in spatial population ecology (e.g. space use, resource selection, density and connectivity). We have placed an emphasis on creating a transparent and accessible code base that is coupled with a logical workflow that we hope stimulates active participation in further technical developments.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04551","usgsCitation":"Chris Sutherland, Royle, J.A., and Linden, D., 2019, oSCR: A spatial capture–recapture R package for inference about spatial ecological processes: Ecography, v. 42, no. 9, p. 1459-1469, https://doi.org/10.1111/ecog.04551.","productDescription":"11 p.","startPage":"1459","endPage":"1469","ipdsId":"IP-108080","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467628,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ecog.04551","text":"External Repository"},{"id":367195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Chris Sutherland","contributorId":196873,"corporation":false,"usgs":false,"family":"Chris Sutherland","affiliations":[],"preferred":false,"id":770127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":770126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linden, Dan","contributorId":218743,"corporation":false,"usgs":false,"family":"Linden","given":"Dan","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":770128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202744,"text":"ofr20191029 - 2019 - Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation","interactions":[],"lastModifiedDate":"2024-03-04T18:47:33.875141","indexId":"ofr20191029","displayToPublicDate":"2019-05-08T12:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1029","displayTitle":"Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation","title":"Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation","docAbstract":"Waterfowl population management and habitat conservation compose one of the oldest and most successful adaptive management frameworks in the world. Since its inception, the North American Waterfowl Management Plan (NAWMP) has emphasized strategically targeted conservation investments in regions that most affect waterfowl population dynamics. By 2012, regional conservation had progressively become more science-based and strategic: many migratory bird partnerships had initiated or completed projects on mapping and modeling waterfowl distribution and abundances using geospatial techniques. However, when developing a map depicting and titled “Areas of Greatest Continental Significance to North American Ducks, Geese, and Swans” for the 2012 NAWMP Revision, waterfowl professionals articulated the need for improved decision frameworks and use of consistent datasets for refining large-scale spatial products depicting priority areas for waterfowl and people. This report describes a framework for developing a spatial value model to support the identification of North American geographies of importance to waterfowl during the breeding and non-breeding periods and to resource users who could potentially support (financially and (or) politically) waterfowl habitat conservation. Objectives used to identify priority geographies were determined through a collaborative process of the NAWMP Science Support Team, Priority Landscapes Committee (PLC), and other experts in the fields of waterfowl biology and ecology, environmental science, and human dimensions. ArcGIS Desktop was used as the platform for managing, analyzing, combining and displaying the spatial data as well as producing new data through spatial analysis functions. Thirty-eight spatial layers were developed, and several composite spatially explicit products (maps of North America) were produced based on PLC recommendations. The composite products have extensive similarities to the 2012 NAWMP map depicting areas of greatest continental significance to North American waterfowl. There are also some differences, especially in regions of the high Arctic and in Mexico. These differences between spatial value model maps and the 2012 NAWMP output likely arose from inclusion of social objectives, reduced dependence on expert opinion to generate abundance estimates, lack of population surveys in some regions and availability of expanded survey data in other regions, and use of model-based waterfowl population estimates for some unsurveyed areas.
The structured decision-making framework application in this study is discussed, and the appropriate use of the products and their limitations are outlined. Additionally, options for future improvements are presented by identifying gaps in data collection, waterfowl-habitat association assumptions, and uncertainties related to social objectives. These spatial products are intended for use by national, regional, and province/state level wildlife professionals to aid their decisions in targeting waterfowl habitat conservation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191029","usgsCitation":"Krainyk, A., Lyons, J.E., Brasher, M.G., Humburg, D.D., Soulliere, G.J., Coluccy, J.M., Petrie, M.J., Howerter, D.W., Slattery, S.M., Rice, M.B., and Fuller, J.C., 2019, Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation: U.S. Geological Survey Open-File Report 2019–1029, 41 p., https://doi.org/10.3133/ofr20191029.","productDescription":"Document: vii, 41 p.; Additional Report Piece; Data Release","numberOfPages":"53","ipdsId":"IP-100747","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":363506,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L7J5U4","text":"USGS data release","description":"USGS data release","linkHelpText":"Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation"},{"id":363574,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2019/1029/ofr20191029_supplementalinformation.pdf","text":"Supplemental Information","size":"5.41 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":363503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1029/coverthb2.jpg"},{"id":363504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1029/ofr20191029.pdf","text":"Report","size":"30.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1029"}],"contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road, Ste 4039
Laurel, MD 20708
The invasion of the Laurentian Great Lakes of North America by sea lampreys (Petromyzon marinus) in the early 20th century contributed to the depletion of commercial, recreational and culturally important fish populations, devastating the economies of communities that relied on the fishery. Sea lamprey populations were subsequently controlled using an aggressive integrated pest-management program which employed barriers and traps to prevent sea lamprey from migrating to their spawning grounds and the use of the piscicides (lampricides) 3-trifluoromethyl-4-nitrophenol (TFM) and niclosamide to eliminate larval sea lampreys from their nursery streams. Although sea lampreys have not been eradicated from the Great Lakes, populations have been suppressed to less than 10% of their peak numbers in the mid-1900s. The ongoing use of lampricides provides the foundation for sea lamprey control in the Great Lakes, one of the most successful invasive species control programs in the world. Yet, significant gaps remain in our understanding of how lampricides are taken-up and handled by sea lampreys, how lampricides exert their toxic effects, and how they adversely affect non-target invertebrate and vertebrates species. In this review we examine what has been learned about the uptake, handling and elimination, and the mode of TFM and niclosamide toxicity in lampreys and in non-target animals, particularly in the last 10 years. It is now clear that the mode of TFM toxicity is the same in non-target fishes and lampreys, in which TFM interferes with oxidative phosphorylation by the mitochondria leading to decreased ATP production. Vulnerability to TFM is related to abiotic factors such as water pH and alkalinity, which we propose changes the relative amounts of the bioavailable un-ionized form of TFM in the gill microenvironment. Niclosamide, which is also a molluscicide used to control snails in areas prone to schistosomiasis infections of humans, also likely works by uncoupling oxidative phosphorylation, but less is known about other aspects of its toxicology. The effects of TFM include reductions in energy stores, particularly glycogen and high energy phosphagens. However, non-target fishes readily recover from sub-lethal TFM exposure as demonstrated by the rapid restoration of energy stores and clearance of TFM. Although both TFM and niclosamide are non-persistent in the environment and critical for sea lamprey control, increasing public and institutional concerns about pesticides in the environment makes it imperative to explore other means of sea lamprey control. Accordingly, we also address possible “next-generation” strategies of sea lamprey control including genetic tools such as RNA interference and CRISPR-Cas9 to impair critical physiological processes (e.g. reproduction, digestion, metamorphosis) in lamprey, and the use of green chemistry to develop more environmentally benign chemical methods of sea lamprey control.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.12.012","usgsCitation":"Wilkie, M., Hubert, T., Boogaard, M.A., and Birceanu, O., 2019, Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects: Aquatic Toxicology, v. 211, p. 235-252, https://doi.org/10.1016/j.aquatox.2018.12.012.","productDescription":"18 p.","startPage":"235","endPage":"252","ipdsId":"IP-099479","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467629,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.12.012","text":"Publisher Index Page"},{"id":363583,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8671875,\n 41.178653972331674\n ],\n [\n -75.8056640625,\n 41.178653972331674\n ],\n [\n -75.8056640625,\n 49.06666839558117\n ],\n [\n -93.8671875,\n 49.06666839558117\n ],\n [\n -93.8671875,\n 41.178653972331674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"211","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":762287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":762285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birceanu, Oana","contributorId":215421,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223339,"text":"70223339 - 2019 - Hydrologic modifications challenge bottomland hardwood forest management","interactions":[],"lastModifiedDate":"2021-08-24T13:07:34.23401","indexId":"70223339","displayToPublicDate":"2019-05-08T08:05:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modifications challenge bottomland hardwood forest management","docAbstract":"Bottomland hardwoods are floodplain forests along rivers and streams throughout the southeastern United States. The interrelations among hydrology, soils, geomorphic landforms, and tree species composition are the foundation of forest management in bottomland hardwoods, and historically their correspondence has allowed for somewhat predictable forest responses based upon the hydrogeomorphic setting. However, extensive hydrologic and geomorphic modifications in floodplains have disrupted these interrelations and, on many sites, have created novel disturbance regimes resulting in unpredictable forest responses. Reduced or altered timing of surface flooding and groundwater declines are common in the region and have favored increases in stem densities, particularly of species less tolerant of flooding and more tolerant of shade. In these highly modified systems, more process-level understanding of floodplain hydrology, soil moisture dynamics, interspecific tree competition, and regeneration is needed to develop more effective management prescriptions and for forestry to be represented in integrated water-resource management decisions.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jofore/fvz025","usgsCitation":"King, S.L., and Keim, R., 2019, Hydrologic modifications challenge bottomland hardwood forest management: Journal of Forestry, v. 117, no. 5, p. 504-514, https://doi.org/10.1093/jofore/fvz025.","productDescription":"11 p.","startPage":"504","endPage":"514","ipdsId":"IP-102468","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jofore/fvz025","text":"Publisher Index Page"},{"id":388415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, R.F.","contributorId":264646,"corporation":false,"usgs":false,"family":"Keim","given":"R.F.","affiliations":[{"id":54524,"text":"Lousiiana State University","active":true,"usgs":false}],"preferred":false,"id":821807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202697,"text":"sir20185071 - 2019 - Basin, climatic, and irrigation factors associated with median summer water yields for streams in Southwestern Michigan, 1945-2015","interactions":[],"lastModifiedDate":"2020-08-31T14:19:50.435364","indexId":"sir20185071","displayToPublicDate":"2019-05-07T16:15:00","publicationYear":"2019","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":"2018-5071","displayTitle":"Basin, Climatic, and Irrigation Factors Associated with Median Summer Water Yields for Streams in Southwestern Michigan, 1945-2015","title":"Basin, climatic, and irrigation factors associated with median summer water yields for streams in Southwestern Michigan, 1945-2015","docAbstract":"Median summer water yields and resultant flows for streams are used in Michigan to regulate large water withdrawals to help prevent negative effects on characteristic fish populations. Large water withdrawals commonly are associated with irrigation in rural areas. In an earlier statewide report, an index-flow statistic for the period of record, defined as the median flow during the summer month of lowest flow, was used to characterize median summer flows and associated water yields. In this report, the annual series of median summer water yields for the period July 1 through September 30 within the period of record is used to characterize median summer water yields. For 27 streamgages included in both reports, the average index water yield was at the 37th percentile of the distribution of median summer water yields. In contrast to an index statistic, an annual time series provides a basis for detecting trends in median summer water yields and for determining basin, climatic, and irrigation factors affecting spatial and temporal variations in summer water yields. Daily flow data from 40 selected U.S. Geological Survey streamgages in southwestern Michigan were used in this analysis. Two mixed models were identified to estimate median summer water yields based on fixed basin characteristics and temporally varying climatic factors for 1945–2015. No irrigation data were available prior to 1970, so no irrigation variables were included in the mixed models for 1945–2015. Then, two mixed models were developed for 1970–2015, a period in which a partial annual series of county-level irrigation data also were available. One of the 1970–2015 mixed models provides a basis for estimating median summer water yields at sites in southwestern Michigan using an estimated trend component, and selected basin, climatic, and irrigation factors. Re-estimation of model parameters in this mixed model with more spatially precise information on irrigation withdrawals may improve model accuracy.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185071","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality","usgsCitation":"Holtschlag, D.J., 2019, Basin, climatic, and irrigation factors associated with median summer water yields for streams in southwestern Michigan, 1945–2015: U.S. Geological Survey Scientific Investigations Report 2018–5071, 23 p., https://doi.org/10.3133/sir20185071.","productDescription":"Report: vii, 23 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-093386","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":363517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5071/sir20185071.pdf","text":"Report","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5071"},{"id":363516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5071/coverthb.jpg"},{"id":363518,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/item/5c7d7268e4b0fe48cb532c2f","text":"USGS data release","description":"USGS data release","linkHelpText":"- Data on Factors Affecting Spatial and Temporal Variations of Annual Summer Median Water Yields in Southwestern Michigan, 1945-2015"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.671142578125,\n 41.599013054830216\n ],\n [\n -84.385986328125,\n 41.599013054830216\n ],\n [\n -84.385986328125,\n 43.30919109985686\n ],\n [\n -86.671142578125,\n 43.30919109985686\n ],\n [\n -86.671142578125,\n 41.599013054830216\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way, Suite 5
Lansing, MI 48911
Knowledge of basal stresses is essential for analyzing slope stability and modeling the dynamics and erosive potential of debris flows and avalanches. Here we derive and test new algebraic formulas for calculating the shear stress τ and normal stress σ at the base of variable‐thickness granular debris masses in states of static or dynamic equilibrium on slopes. The formulas include a lateral pressure coefficient κ, but use of a fixed value κ = 0.7 yields predictions of σ that on average err by less than 3% and of τ that on average err by less than 13% in matching basal stresses measured in six large‐scale experiments involving wet debris masses with varying geometries and compositions. Much larger prediction errors result from use of infinite‐slope or shallow‐debris approximations. Specialized versions of the new formulas apply if basal topography is discretized and represented by a “staircase” function in a digital elevation model. Use of these formulas to assess static limiting equilibrium conditions shows that the apparent basal Coulomb friction angle ϕtread of debris that engages friction acting on the horizontal surfaces (or “treads”) of a staircase sloping at an angle θ is generally described by tanϕtread = tan (ϕ − θ)+κ tan θ, where ϕ is the true basal friction angle of the same debris in contact with a uniformly sloping bed. Differences between the values of ϕ and ϕtread can greatly influence the results of numerical simulations that use unsmoothed digital elevation model topography to calculate the stability or dynamics of debris masses on slopes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JF004802","usgsCitation":"Iverson, R.M., and George, D.L., 2019, Basal stress equations for granular debris masses on smooth or discretized slopes: Journal of Geophysical Research-Earth Surface, v. 124, no. 6, p. 1464-1484, https://doi.org/10.1029/2018JF004802.","productDescription":"21 p.","startPage":"1464","endPage":"1484","ipdsId":"IP-099189","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jf004802","text":"Publisher Index Page"},{"id":378200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":798076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":798083,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203363,"text":"70203363 - 2019 - Developing an expert elicited simulation model to evaluate invasive species and fire management alternatives","interactions":[],"lastModifiedDate":"2019-05-08T09:58:49","indexId":"70203363","displayToPublicDate":"2019-05-07T09:57:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Developing an expert elicited simulation model to evaluate invasive species and fire management alternatives","docAbstract":"Invasive species can alter ecosystem properties and cause state shifts in landscapes. Resource managers charged with maintaining landscapes require tools to understand implications of alternative actions (or inactions) on landscape structure and function. Simulation models can serve as a virtual laboratory to explore these alternatives and their potential impacts on a landscape. To be useful, however, managers need to participate in model development to ensure that model structure can evaluate the response of key resources to plausible actions. Here, we detail development of a state‐and‐transition simulation model (STSM) to evaluate buffelgrass (Cenchrus ciliaris L. syn Pennisetum ciliare (L.) Link) in Saguaro National Park (SNP), Arizona, USA, through collaboration between managers and researchers. We integrate expert knowledge and research to create and parameterize a stochastic, spatially explicit STSM to evaluate specific management objectives. We also develop a dynamic link between the STSM and a fire behavior model to allow exploration of potential novel processes introduced to the ecosystem by buffelgrass invasion. Our projections show that buffelgrass can be expected to increase on the landscape and that the integration of fire into the model accelerates the projected rate of invasion and increases degradation of resources of management concern. We highlight the benefit of engaging end users in the modeling process so that the model is targeted to evaluate management objectives, in this case retention of saguaro cacti (Carnegiea gigantea (Engelm.) Britton & Rose) on the landscape. Being able to integrate an external model that can help address the unique characteristics of a problem such as the introduction of fire into the SNP desert ecosystem increases the ability of simulations to address complex ecological and management questions.
1. Climate change has been identified as one of the most important drivers of wildlife populations. The development of appropriate conservation strategies relies on reliable predictions of population responses to climate change, which require in-depth understanding of the complex relationships between climate and population dynamics through density dependent demographic processes. Integrated population models (IPMs) are a type of modeling approach that unify the analyses of demography and abundance data, providing opportunities to understand and predict population demography and dynamics under climate change. 2. In this study we developed dynamic N-mixture models for large scale population estimates, which became an important component of the IPM we used in data analysis. We then analyzed four decades (1974-2014) of Mallard (Anas platyrhynchos) breeding population survey, band-recovery, and climate data covering a large spatial extent from North American prairies through boreal habitat to Alaska. Our goals were to examine the complex relationships among climate, density dependent processes, waterfowl population demography and dynamics, identify the key demographic parameters that are sensitive to climate change and are influential to population growth, and forecast population responses to climate change. 3. Our results revealed the interactive effects of temperature and density dependent processes on Mallard recruitment and to a less extent apparent survival. We also found that recruitment explained more variance of population growth than apparent survival. We then forecasted a decrease in Mallard breeding population density in the Northern Prairie Potholes and an increase in Mallard breeding population density in the northern part of our study area, indicating potential shifts in Mallard population dynamics under future climate change. 4. Synthesis and applications Different strategies need to be considered across regions to conserve waterfowl populations under climate change. Strategies that facilitate recruitment are essential for high-density populations that are relatively vulnerable to climate change. By contrast, low-density populations are relatively resilient to climate change and their habitats may serve as future climate refugia. Adaptive management is essential for evaluating management consequences. Our modelling framework approach can be easily adapted for other species and thus has wide applications in ecology and conservation.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04548","usgsCitation":"Qing Zhao, Boomer, S., and Royle, A., 2019, Integrated modeling reveals shifts in waterfowl population dynamics under climate change: Ecography, v. 42, no. 9, p. 1470-1481, https://doi.org/10.1111/ecog.04548.","productDescription":"12 p.","startPage":"1470","endPage":"1481","ipdsId":"IP-102365","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -180.703125,\n 52.696361078274485\n ],\n [\n -172.08984375,\n 49.724479188712984\n ],\n [\n -147.48046875,\n 59.44507509904714\n ],\n [\n -127.96875,\n 60.1524422143808\n ],\n [\n -128.32031249999997,\n 47.39834920035926\n ],\n [\n -105.99609375,\n 47.87214396888731\n ],\n [\n -104.58984375,\n 44.33956524809713\n ],\n [\n -99.31640625,\n 43.96119063892024\n ],\n [\n -99.49218749999999,\n 48.80686346108517\n ],\n [\n -80.33203125,\n 48.80686346108517\n ],\n [\n -80.15625,\n 49.95121990866204\n ],\n [\n -80.15625,\n 52.482780222078226\n ],\n [\n -128.84765625,\n 70.90226826757711\n ],\n [\n -161.89453125,\n 73.17589717422607\n ],\n [\n -180.703125,\n 52.696361078274485\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Qing Zhao","contributorId":213383,"corporation":false,"usgs":false,"family":"Qing Zhao","affiliations":[{"id":38743,"text":"Univ. Missouri","active":true,"usgs":false}],"preferred":false,"id":769943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, Scott","contributorId":218697,"corporation":false,"usgs":false,"family":"Boomer","given":"Scott","email":"","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":769944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203063,"text":"sir20195028 - 2019 - Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana","interactions":[],"lastModifiedDate":"2019-05-07T12:56:46","indexId":"sir20195028","displayToPublicDate":"2019-05-07T08:40:45","publicationYear":"2019","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":"2019-5028","displayTitle":"Flood-Inundation Maps for the Amite and Comite Rivers From State Highway 64 To U.S. Highway 190 at Central, Louisiana","title":"Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana","docAbstract":"Flood-inundation maps for a 14.5-mile reach of the Amite River and a 20.2-mile reach of the Comite River from State Highway 64 to U.S. Highway 190 were created by the U.S. Geological Survey (USGS) in cooperation with the City of Central, Louisiana. These maps, which can be accessed through an interactive mapper at the USGS Flood Inundation Mapping Program website and from a companion USGS data release, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Amite River at Magnolia, La., (07377300) and Comite River near Comite, La. (07378000).
Flood profiles were computed for the Amite and Comite River reaches by using the two-dimensional (2D), finite-volume numerical modeling options in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (USACE HEC-RAS) software version 5.0.3. Models were calibrated to the current (2018) stage-discharge relations at the Amite River at Magnolia, La., and Comite River near Comite, La., streamgages, water-surface profiles from the March and August 2016 floods, and documented high-water marks from the flood of August 2016.
The hydraulic models were used to compute 37 individual water-surface profiles (21 for the Amite River and 16 for the Comite River) at 1.0-foot intervals ranging from the National Weather Service flood stage to the highest peak on record at the two streamgages. The 37 simulated water-surface profiles were used with a light detection and ranging-derived digital elevation model to delineate the flood extent and associated depth at each water level. The delineated areas (inundation maps) were merged into 127 combinations or possible flooding scenarios based on annual peak stage information from the two streamgaging stations.
The availability of these maps, along with real-time data delivered via the internet, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for recovery efforts after floods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195028","collaboration":"Prepared in cooperation with the City of Central, Louisiana","usgsCitation":"Storm, J.B., 2019, Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana: U.S. Geological Survey Scientific Investigations Report 2019–5028, 20 p., https://doi.org/10.3133/sir20195028.\n","productDescription":"Report: viii, 20 p.; Data Release; Flood Inundation Mapper","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-100404","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363430,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5028/sir20195028.pdf","text":"Report","size":"6.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5028"},{"id":363431,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PQKSYF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Flood Inundation Maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 – City of Central, Louisiana"},{"id":363429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5028/coverthb.jpg"},{"id":363432,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program?qt-science_center_objects=0#qt-science_center_objects","text":"Flood Inundation Mapper","description":"Flood Inundation Mapper"}],"country":"United States","state":"Louisiana ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.3123779296875,\n 28.859107573773\n ],\n [\n -93.3123779296875,\n 31.475524020001806\n ],\n [\n -89.879150390625,\n 31.475524020001806\n ],\n [\n -89.879150390625,\n 28.859107573773\n ],\n [\n -93.3123779296875,\n 28.859107573773\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Managing recreational fisheries in lake-rich landscapes with diverse fish communities and anglers alike presents a social and biological challenge for managers. Understanding angler preferences is central to navigating these challenges and can aid in predicting shifts in angler behavior in response to management actions or changing fish populations. Species-specific angler surveys do not incorporate tradeoffs inherent in multispecies fisheries, thus limiting their application to real-world management issues. To better understand angler preferences in relation to realistic tradeoffs among different fishing opportunities, we conducted a survey of Wisconsin anglers in 2013–2014 that included questions requiring anglers to choose between fisheries providing different outcomes. We used stated-preference modeling to quantify angler preferences associated with Bluegill Lepomis macrochirus, Largemouth Bass Micropterus salmoides, and Walleye Sander vitreus fisheries. Next, we conducted a latent class analysis using survey responses to classify anglers into subgroups. Finally, we assessed the sensitivity of angler choice to changes in fishing opportunities. Results of the stated-preference models indicated that both residents and nonresidents largely prefer “quality” (i.e., moderate catch rate and size structure) over “action” or “trophy” Bluegill fisheries and that characteristics of Largemouth Bass fisheries have more value to nonresidents than to residents. Aspects of the Bluegill fishery were most important in choosing among hypothetical lakes for resident respondents. Five angler subgroups were identified that show the importance of Bluegill and Walleye but shed additional light on anglers’ commitment level and nonresidents’ preference for Largemouth Bass. In addition, simulations of changes in Walleye, Largemouth Bass, and Bluegill fisheries indicated that maintenance of quality Bluegill fisheries is important to ensuring continued angler participation, while the retention of high-yield Walleye fisheries is likely paramount to a subgroup of anglers. Our results offer insight into angler preferences across the lake-rich landscape of Wisconsin and demonstrate how angler behavior may shift in response to transitions in fishing opportunities.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10301","usgsCitation":"Tingley, R.W., Hansen, J., Iserman, D., Fulton, D.C., Musch, A., and Paukert, C.P., 2019, Characterizing angler preferences for Largemouth Bass, Bluegill, and Walleye fisheries in Wisconsin: North American Journal of Fisheries Management, v. 39, no. 4, p. 676-692, https://doi.org/10.1002/nafm.10301.","productDescription":"17 p.","startPage":"676","endPage":"692","ipdsId":"IP-103338","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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A.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":822114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Musch, A.","contributorId":264871,"corporation":false,"usgs":false,"family":"Musch","given":"A.","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":822116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822117,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204650,"text":"70204650 - 2019 - Effects of 21st century climate, land use, and disturbances on ecosystem carbon balance in California","interactions":[],"lastModifiedDate":"2019-09-16T12:26:19","indexId":"70204650","displayToPublicDate":"2019-05-07T07:59:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 21st century climate, land use, and disturbances on ecosystem carbon balance in California","docAbstract":"Terrestrial ecosystems are an important sink for atmospheric carbon dioxide (CO2), sequestering ~30% of annual anthropogenic emissions and slowing the rise of atmospheric CO2. However, the future direction and magnitude of the land sink is highly uncertain. We examined how historical and projected changes in climate, land use, and ecosystem disturbances affect the carbon balance of terrestrial ecosystems in California over the period 2001–2100. We modeled 32 unique scenarios, spanning 4 land use and 2 radiative forcing scenarios as simulated by four global climate models. Between 2001 and 2015, carbon storage in California's terrestrial ecosystems declined by −188.4 Tg C, with a mean annual flux ranging from a source of −89.8 Tg C/year to a sink of 60.1 Tg C/year. The large variability in the magnitude of the state's carbon source/sink was primarily attributable to interannual variability in weather and climate, which affected the rate of carbon uptake in vegetation and the rate of ecosystem respiration. Under nearly all future scenarios, carbon storage in terrestrial ecosystems was projected to decline, with an average loss of −9.4% (−432.3 Tg C) by the year 2100 from current stocks. However, uncertainty in the magnitude of carbon loss was high, with individual scenario projections ranging from −916.2 to 121.2 Tg C and was largely driven by differences in future climate conditions projected by climate models. Moving from a high to a low radiative forcing scenario reduced net ecosystem carbon loss by 21% and when combined with reductions in land‐use change (i.e., moving from a high to a low land‐use scenario), net carbon losses were reduced by 55% on average. However, reconciling large uncertainties associated with the effect of increasing atmospheric CO2 is needed to better constrain models used to establish baseline conditions from which ecosystem‐based climate mitigation strategies can be evaluated.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14677","usgsCitation":"Sleeter, B.M., Marvin, D., Cameron, D.R., Selmants, P., Westerling, L., Kreitler, J.R., Colin Daniel, Liu, J., and Wilson, T., 2019, Effects of 21st century climate, land use, and disturbances on ecosystem carbon balance in California: Global Change Biology, v. 25, no. 10, p. 3334-3353, https://doi.org/10.1111/gcb.14677.","productDescription":"22 P.","startPage":"3334","endPage":"3353","ipdsId":"IP-098389","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467637,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.14677","text":"Publisher Index Page"},{"id":437470,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KVF795","text":"USGS data release","linkHelpText":"Land change and 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