Leveling surveys across Medicine Lake volcano (MLV) have documented subsidence that is centered on the summit caldera and decays symmetrically on the flanks of the edifice. Possible mechanisms for this deformation include fluid withdrawal from a subsurface reservoir, cooling/crystallization of subsurface magma, loading by the volcano and dense intrusions, and crustal thinning due to tectonic extension (Dzurisin et al., 1991 [Dzurisin, D., Donnelly-Nolan, J.M., Evans, J.R., Walter, S.R., 1991. Crustal subsidence, seismicity, and structure near Medicine Lake Volcano, California. Journal of Geophysical Research 96, 16, 319-16, 333.]; Dzurisin et al., 2002 [Dzurisin, D., Poland, M.P., Bürgmann, R., 2002. Steady subsidence of Medicine Lake Volcano, Northern California, revealed by repeated leveling surveys. Journal of Geophysical Research 107, 2372, doi:10.1029/2001JB000893.]). InSAR data that approximate vertical displacements are similar to the leveling results; however, vertical deformation data alone are not sufficient to distinguish between source mechanisms. Horizontal displacements from GPS were collected in the Mt. Shasta/MLV region in 1996, 1999, 2000, 2003, and 2004. These results suggest that the region is part of the western Oregon block that is rotating about an Euler pole in eastern Oregon. With this rotation removed, most sites in the network have negligible velocities except for those near MLV caldera. There, measured horizontal velocities are less than predicted from ∼10 km deep point and dislocation sources of volume loss based on the leveling data; therefore volumetric losses simulated by these sources are probably not causing the observed subsidence at MLV. This result demonstrates that elastic models of subsurface volume change can provide misleading results where additional geophysical and geological constraints are unavailable, or if only vertical deformation is known. The deformation source must be capable of causing broad vertical deformation with comparatively smaller horizontal displacements. Thermoelastic contraction of a column of hot rock beneath the volcano cannot reproduce the observed ratio of vertical to horizontal surface displacements. Models that determine deformation due to loading by the volcano and dense intrusions can be made to fit the pattern of vertical displacements by assuming a weak upper crust beneath MLV, though the subsidence rates due to surface loading must be lower than the observed displacements. Tectonic extension is almost certainly occurring based on fault orientations and focal mechanisms, but does not appear to be a major contributor to the observed deformation. We favor a model that includes a combination of sources, including extension and loading of a hot weak crust with thermal contraction of a cooling mass of rock beneath MLV, which are processes that are probably occurring at MLV. Future microgravity surveys and the planned deployment of an array of continuous GPS stations as part of a Plate Boundary Observatory volcano cluster will help to refine this model.
The International Joint Commission has recently completed a five-year study (2000-2005) to review the operation of structures controlling the flows and levels of the Lake Ontario - St. Lawrence River system. In addition to addressing the multitude of stakeholder interests, the regulation plan review also considers environmental sustainability and integrity of wetlands and various ecosystem components. The present paper outlines the general approach, scientific methodology and applied management considerations of studies quantifying the relationships between hydrology and wetland plant assemblages (% occurrence, surface area) in Lake Ontario and the Upper and Lower St. Lawrence River. Although similar study designs were used across the study region, different methodologies were required that were specifically adapted to suit the important regional differences between the lake and river systems, range in water-level variations, and confounding factors (geomorphic types, exposure, sediment characteristics, downstream gradient of water quality, origin of water masses in the Lower River). Performance indicators (metrics), such as total area of wetland in meadow marsh vegetation type, that link wetland response to water levels will be used to assess the effects of different regulation plans under current and future (climate change) water-supply scenarios.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-005-9086-4","usgsCitation":"Hudon, C., Wilcox, D., and Ingram, J., 2006, Modeling wetland plant community response to assess water-level regulation scenarios in the Lake Ontario-St. Lawrence River basin: Environmental Monitoring and Assessment, v. 113, no. 1-3, p. 303-328, https://doi.org/10.1007/s10661-005-9086-4.","productDescription":"26 p.","startPage":"303","endPage":"328","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":477564,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/20.500.12648/2305","text":"External Repository"},{"id":133564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2006-02-24","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69976f","contributors":{"authors":[{"text":"Hudon, Christiane","contributorId":80632,"corporation":false,"usgs":true,"family":"Hudon","given":"Christiane","email":"","affiliations":[],"preferred":false,"id":310395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, Douglas","contributorId":72764,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","affiliations":[],"preferred":false,"id":310394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingram, Joel","contributorId":65046,"corporation":false,"usgs":true,"family":"Ingram","given":"Joel","affiliations":[],"preferred":false,"id":310393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1001083,"text":"1001083 - 2006 - Extirpation of freshwater mussels (Bivalvia: Unionidae) following the invasion of dreissenid mussels in an interconnecting river of the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2023-02-09T17:06:38.303293","indexId":"1001083","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Extirpation of freshwater mussels (Bivalvia: Unionidae) following the invasion of dreissenid mussels in an interconnecting river of the Laurentian Great Lakes","docAbstract":"Previous (1992–1994) surveys for native freshwater mussels (Unionidae) along main channels of the Detroit River showed that unionids had been extirpated from all but four sites in the upper reaches of the river due to impacts of dreissenid mussels (Dreissena polymorpha and D. bugensis). These four sites were surveyed again in 1998 using the same sampling method (timed-random searches) to determine if they may serve as “refugia” where unionids and dreissenids co-exist. Two additional sites were sampled using additional methods (excavated-quadrat and line-transect searches) for comparison with unpublished data collected in 1987 and 1990. A total of four individuals of four species (Actinonaias ligamentina, Cyclonaias tuberculata, Lasmigona complanata and Pleurobema sintoxia) were found by timed-random searches at four sites in 1998 compared to 720 individuals of 24 species in 1992 and 39 individuals of 13 species in 1994. Excavated-quadrat and line-transect searches at the two additional sites yielded only one live specimen of Ptychobranchus fasciolaris compared to 288 individuals of 18 species in 1987 and 1990. Results of this study suggest that remaining densities of unionids in channels of the Detroit River are too low to support viable reproducing populations of any species. Therefore, we conclude that unionids have been extirpated from main channels of the Detroit River due to dreissenid infestation. As the Detroit River was one of the first water bodies in North America to be invaded by dreissenids, it is likely that unionids will also be extirpated from many other rivers and lakes across eastern North America over the next few decades. Resource agencies should be encouraged to implement active management programs to protect remaining unionid populations from zebra mussels.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031(2006)155[307:EOFMBU]2.0.CO;2","usgsCitation":"Schloesser, D.W., Metcalfe-Smith, J.L., Kovalak, W.P., Longton, G.D., and Smithee, R.D., 2006, Extirpation of freshwater mussels (Bivalvia: Unionidae) following the invasion of dreissenid mussels in an interconnecting river of the Laurentian Great Lakes: American Midland Naturalist, v. 155, no. 2, p. 307-320, https://doi.org/10.1674/0003-0031(2006)155[307:EOFMBU]2.0.CO;2.","productDescription":"14 p.","startPage":"307","endPage":"320","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":412910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.93917557144205,\n 42.36486265488605\n ],\n [\n -83.02386372199643,\n 42.36486265488605\n ],\n [\n -83.02386372199643,\n 42.321294249119575\n ],\n [\n -82.93917557144205,\n 42.321294249119575\n ],\n [\n -82.93917557144205,\n 42.36486265488605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688361","contributors":{"authors":[{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":310441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metcalfe-Smith, Janice L.","contributorId":82267,"corporation":false,"usgs":true,"family":"Metcalfe-Smith","given":"Janice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":310443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovalak, William P.","contributorId":77479,"corporation":false,"usgs":true,"family":"Kovalak","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":310442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longton, Gary D.","contributorId":17199,"corporation":false,"usgs":true,"family":"Longton","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":310440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smithee, Rick D.","contributorId":100807,"corporation":false,"usgs":true,"family":"Smithee","given":"Rick","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":310444,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030600,"text":"70030600 - 2006 - An evaluation of factors influencing pore pressure in accretionary complexes: Implications for taper angle and wedge mechanics","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70030600","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of factors influencing pore pressure in accretionary complexes: Implications for taper angle and wedge mechanics","docAbstract":"At many subduction zones, accretionary complexes form as sediment is off-scraped from the subducting plate. Mechanical models that treat accretionary complexes as critically tapered wedges of sediment demonstrate that pore pressure controls their taper angle by modifying basal and internal shear strength. Here, we combine a numerical model of groundwater flow with critical taper theory to quantify the effects of sediment and de??collement permeability, sediment thickness, sediment partitioning between accretion and underthrusting, and plate convergence rate on steady state pore pressure. Our results show that pore pressure in accretionary wedges can be viewed as a dynamically maintained response to factors which drive pore pressure (source terms) and those that limit flow (permeability and drainage path length). We find that sediment permeability and incoming sediment thickness are the most important factors, whereas fault permeability and the partitioning of sediment have a small effect. For our base case model scenario, as sediment permeability is increased, pore pressure decreases from near-lithostatic to hydrostatic values and allows stable taper angles to increase from ??? 2.5?? to 8??-12.5??. With increased sediment thickness in our models (from 100 to 8000 m), increased pore pressure drives a decrease in stable taper angle from 8.4??-12.5?? to <2.5-5??. In general, low-permeability and thick incoming sediment sustain high pore pressures consistent with shallowly tapered geometry, whereas high-permeability and thin incoming sediment should result in steep geometry. Our model results compare favorably with available data from active accretionary complexes. Active margins characterized by a significant proportion of fine-grained sediment within the incoming section, such as northern Antilles and eastern Nankai, exhibit thin taper angles, whereas those characterized by a higher proportion of sandy turbidites, such as Cascadia, Chile, and Mexico, have steep taper angles. Observations from active margins also indicate a strong trend of decreasing taper angle (from >15?? to <4??) with increased sediment thickness (from <1 to 7 km). One key implication is that hydrologic properties may strongly influence the strength of the crust in a wide range of geologic settings. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005JB003990","issn":"01480227","usgsCitation":"Saffer, D., and Bekins, B., 2006, An evaluation of factors influencing pore pressure in accretionary complexes: Implications for taper angle and wedge mechanics: Journal of Geophysical Research B: Solid Earth, v. 111, no. 4, https://doi.org/10.1029/2005JB003990.","costCenters":[],"links":[{"id":477417,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005jb003990","text":"Publisher Index Page"},{"id":211961,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005JB003990"},{"id":239351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"4","noUsgsAuthors":false,"publicationDate":"2006-04-04","publicationStatus":"PW","scienceBaseUri":"5059ea4be4b0c8380cd4876d","contributors":{"authors":[{"text":"Saffer, D.M.","contributorId":72945,"corporation":false,"usgs":true,"family":"Saffer","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":427802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, B.A.","contributorId":98309,"corporation":false,"usgs":true,"family":"Bekins","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":427803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030667,"text":"70030667 - 2006 - Invasion in a diversity hotspot: Exotic cover and native richness in the Californian serpentine flora","interactions":[],"lastModifiedDate":"2019-10-25T06:31:13","indexId":"70030667","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invasion in a diversity hotspot: Exotic cover and native richness in the Californian serpentine flora","docAbstract":"Exotic species have been observed to be more prevalent in sites where the richness of native species is highest, possibly reflecting variation among sites in resources, propagule supply, heterogeneity, or disturbance. However, such a pattern leaves unclear whether natives at species-rich sites are subject to especially severe impacts from exotics as a result. We considered this question using path models in which relationships between exotic cover and native richness were evaluated in the presence of correlated environmental factors. At 109 sites on serpentine soils across California, USA, exotic cover was positively correlated with total native herbaceous richness and was negatively correlated with the richness of both serpentine-endemic and rare native herbs. However, in path models that accounted for the influences of soil chemistry, disturbance, overstory cover, and regional rainfall and elevation, we found no indication that exotic cover reduced any component of native herb richness. Rather, our results indicated similarities and differences in the conditions favoring exotic, native, endemic, and rare species. Our results suggest that, in spite of some localized impacts, exotic species are not exerting a detectable overall effect on the community richness of the unique native flora of Californian serpentine. ?? 2006 by the Ecological Society of America.","language":"English","publisher":"Wiley","doi":"10.1890/05-0778","issn":"00129658","usgsCitation":"Harrison, S., Grace, J., Davies, K., Safford, H., and Viers, J., 2006, Invasion in a diversity hotspot: Exotic cover and native richness in the Californian serpentine flora: Ecology, v. 87, no. 3, p. 695-703, https://doi.org/10.1890/05-0778.","productDescription":"9 p.","startPage":"695","endPage":"703","numberOfPages":"9","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":239287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.23339843749999,\n 41.96765920367816\n ],\n [\n -124.43115234375,\n 40.38002840251183\n ],\n [\n -123.11279296875001,\n 38.09998264736481\n ],\n [\n -120.56396484375,\n 34.470335121217474\n ],\n [\n -119.46533203125,\n 34.52466147177172\n ],\n [\n -119.88281249999999,\n 35.47856499535729\n ],\n [\n -121.26708984374999,\n 37.35269280367274\n ],\n [\n -121.97021484374999,\n 38.976492485539396\n ],\n [\n -122.32177734375,\n 40.56389453066509\n ],\n [\n -122.607421875,\n 42.032974332441405\n ],\n [\n -124.23339843749999,\n 41.96765920367816\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.6248779296875,\n 33.4955977448657\n ],\n [\n -118.46557617187499,\n 33.31675830290707\n ],\n [\n -118.27880859375001,\n 33.27543541298162\n ],\n [\n -118.2843017578125,\n 33.422272258866045\n ],\n [\n -118.6248779296875,\n 33.4955977448657\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.740478515625,\n 33.348884792201694\n ],\n [\n -117.1307373046875,\n 33.348884792201694\n ],\n [\n -117.1307373046875,\n 33.90689555128866\n ],\n [\n -117.740478515625,\n 33.90689555128866\n ],\n [\n -117.740478515625,\n 33.348884792201694\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.85559082031249,\n 34.67839374011646\n ],\n [\n -118.44909667968749,\n 35.31736632923788\n ],\n [\n -117.9217529296875,\n 35.86679541749027\n ],\n [\n -117.88879394531249,\n 36.52288052805137\n ],\n [\n -118.77868652343751,\n 37.779398571318765\n ],\n [\n -119.278564453125,\n 38.12591462924157\n ],\n [\n -120.1904296875,\n 38.96795115401593\n ],\n [\n -120.12451171875,\n 39.27478966170308\n ],\n [\n -120.27282714843749,\n 40.20824570152502\n ],\n [\n -120.8551025390625,\n 40.204050425113294\n ],\n [\n -121.343994140625,\n 39.85915479295669\n ],\n [\n -121.1077880859375,\n 39.39799959542146\n ],\n [\n -120.904541015625,\n 38.993572058209466\n ],\n [\n -119.00939941406249,\n 37.496652341233364\n ],\n [\n -118.267822265625,\n 36.266421331439375\n ],\n [\n -118.5809326171875,\n 35.7286770448517\n ],\n [\n -119.4049072265625,\n 34.93548199355901\n ],\n [\n -119.34997558593749,\n 34.71452466170392\n ],\n [\n -118.85559082031249,\n 34.67839374011646\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3e1de4b0c8380cd63af8","contributors":{"authors":[{"text":"Harrison, S.","contributorId":76129,"corporation":false,"usgs":true,"family":"Harrison","given":"S.","affiliations":[],"preferred":false,"id":428131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":428128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, K.F.","contributorId":72586,"corporation":false,"usgs":true,"family":"Davies","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":428130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Safford, H.D.","contributorId":22293,"corporation":false,"usgs":true,"family":"Safford","given":"H.D.","email":"","affiliations":[],"preferred":false,"id":428127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viers, J.H.","contributorId":46305,"corporation":false,"usgs":true,"family":"Viers","given":"J.H.","affiliations":[],"preferred":false,"id":428129,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030778,"text":"70030778 - 2006 - Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation","interactions":[],"lastModifiedDate":"2020-09-25T15:04:01.326936","indexId":"70030778","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation","docAbstract":"The three living species of manatees, West Indian (Trichechus manatus), Amazonian (Trichechus inunguis) and West African (Trichechus senegalensis), are distributed across the shallow tropical and subtropical waters of America and the western coast of Africa. We have sequenced the mitochondrial DNA control region in 330 Trichechus to compare their phylogeographic patterns. In T. manatus we observed a marked population structure with the identification of three haplotype clusters showing a distinct spatial distribution. A geographic barrier represented by the continuity of the Lesser Antilles to Trinidad Island, near the mouth of the Orinoco River in Venezuela, appears to have restricted the gene flow historically in T. manatus. However, for T. inunguis we observed a single expanding population cluster, with a high diversity of very closely related haplotypes. A marked geographic population structure is likely present in T. senegalensis with at least two distinct clusters. Phylogenetic analyses with the mtDNA cytochrome b gene suggest a clade of the marine Trichechus species, with T. inunguis as the most basal trichechid. This is in agreement with previous morphological analyses. Mitochondrial DNA, autosomal microsatellites and cytogenetic analyses revealed the presence of hybrids between the T. manatus and T. inunguis species at the mouth of the Amazon River in Brazil, extending to the Guyanas and probably as far as the mouth of the Orinoco River. Future conservation strategies should consider the distinct population structure of manatee species, as well as the historical barriers to gene flow and the likely occurrence of interspecific hybridization.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2005.02771.x","usgsCitation":"Vianna, J.A., Bonde, R.K., Caballero, S., Giraldo, J.P., Lima, R.P., Clark, A., Marmontel, M., Morales-Vela, B., De Souza, M.J., Parr, L., Rodriguez-Lopez, M.A., Mignucci-Giannoni, A.A., Powell, J.A., and Santos, F.R., 2006, Phylogeography, phylogeny and hybridization in trichechid sirenians: Implications for manatee conservation: Molecular Ecology, v. 15, no. 2, p. 433-447, https://doi.org/10.1111/j.1365-294X.2005.02771.x.","productDescription":"15 p.","startPage":"433","endPage":"447","numberOfPages":"15","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":238922,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-01-09","publicationStatus":"PW","scienceBaseUri":"505a7a63e4b0c8380cd78ea1","contributors":{"authors":[{"text":"Vianna, J. A.","contributorId":23905,"corporation":false,"usgs":false,"family":"Vianna","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","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":428631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caballero, S.","contributorId":86734,"corporation":false,"usgs":false,"family":"Caballero","given":"S.","email":"","affiliations":[],"preferred":false,"id":428634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, J. P.","contributorId":30591,"corporation":false,"usgs":false,"family":"Giraldo","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":428625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lima, R. P.","contributorId":99948,"corporation":false,"usgs":false,"family":"Lima","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":428636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, A.","contributorId":50476,"corporation":false,"usgs":false,"family":"Clark","given":"A.","affiliations":[],"preferred":false,"id":428630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marmontel, M.","contributorId":37671,"corporation":false,"usgs":false,"family":"Marmontel","given":"M.","affiliations":[],"preferred":false,"id":428627,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morales-Vela, B.","contributorId":32481,"corporation":false,"usgs":false,"family":"Morales-Vela","given":"B.","email":"","affiliations":[],"preferred":false,"id":428626,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Souza, M. J.","contributorId":79288,"corporation":false,"usgs":false,"family":"De Souza","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":428633,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parr, L.","contributorId":38947,"corporation":false,"usgs":false,"family":"Parr","given":"L.","email":"","affiliations":[],"preferred":false,"id":428628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodriguez-Lopez, M. A.","contributorId":99523,"corporation":false,"usgs":false,"family":"Rodriguez-Lopez","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428635,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mignucci-Giannoni, A. A.","contributorId":11351,"corporation":false,"usgs":false,"family":"Mignucci-Giannoni","given":"A.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428623,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Powell, J. A.","contributorId":69916,"corporation":false,"usgs":false,"family":"Powell","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428632,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Santos, F. R.","contributorId":42567,"corporation":false,"usgs":false,"family":"Santos","given":"F.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":428629,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":1001084,"text":"1001084 - 2006 - Changes in seasonal energy dynamics of alewife (Alosa pseudoharengus) in Lake Michigan after invasion of dreissenid mussels","interactions":[],"lastModifiedDate":"2016-05-09T09:25:31","indexId":"1001084","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Changes in seasonal energy dynamics of alewife (Alosa pseudoharengus) in Lake Michigan after invasion of dreissenid mussels","docAbstract":"The dreissenid mussel invasion of Lake Michigan during the 1990s has been linked to a concomitant decrease in the abundance of the amphipod Diporeia. We tracked the seasonal energy dynamics of alewife (Alosa pseudoharengus) in Lake Michigan during 2002–2004 and compared our findings with previously published results for years 1979–1981. Adult alewife energy density exhibited a pronounced seasonal cycle during both the pre-invasion and post-invasion periods, with energy density in October or November nearly twice as high as that in early summer. However, on average, adult alewife energy density was 23% lower during the post-invasion period compared with the pre-invasion period. This significant decline in energy density was attributable to decreased importance of Diporeia in adult alewife diet. In contrast, energy density of juvenile alewives did not significantly differ between the pre-invasion and post-invasion periods. To attain a weight of 8 kg by age 4, bioenergetics modeling indicated that a Chinook salmon (Oncorhynchus tshawytscha) in Lake Michigan would have to consume 22.1% more alewives during the post-invasion period compared with the pre-invasion period.
","language":"English","publisher":"Ingenta Connect","doi":"10.1139/F06-017","usgsCitation":"Madenjian, C.P., Pothoven, S.A., Dettmers, J.M., and Holuszko, J.D., 2006, Changes in seasonal energy dynamics of alewife (Alosa pseudoharengus) in Lake Michigan after invasion of dreissenid mussels: Canadian Journal of Fisheries and Aquatic Sciences, v. 63, no. 4, p. 891-902, https://doi.org/10.1139/F06-017.","productDescription":"12 p.","startPage":"891","endPage":"902","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":128663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6d14","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":310445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":310447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettmers, John M.","contributorId":27395,"corporation":false,"usgs":true,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":310446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holuszko, Jeffrey D.","contributorId":104429,"corporation":false,"usgs":true,"family":"Holuszko","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":310448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030603,"text":"70030603 - 2006 - Stress changes along the Sunda trench following the 26 December 2004 Sumatra-Andaman and 28 March 2005 Nias earthquakes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70030603","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Stress changes along the Sunda trench following the 26 December 2004 Sumatra-Andaman and 28 March 2005 Nias earthquakes","docAbstract":"The 26 December 2004 Mw = 9.2 and 28 March 2005 Mw = 8.7 earthquakes on the Sumatra megathrust altered the state of stress over a large region surrounding the earthquakes. We evaluate the stress changes associated with coseismic and postseismic deformation following these two large events, focusing on postseismic deformation that is driven by viscoelastic relaxation of a low-viscosity asthenosphere. Under Coulomb failure stress (CFS) theory, the December 2004 event increased CFS on the future hypocentral zone of the March 2005 event by about 0.25 bar, with little or no contribution from viscous relaxation. Coseismic stresses around the rupture zones of the 1797 and 1833 Sunda trench events are negligible, but postseismic stress perturbations since December 2004 are predicted to result in CFS increases of 0.1 to 0.2 bar around these rupture zones between 2 and 8 years after the December 2004 event. These are considerable stress perturbations given that the 1797 and 1833 rupture zones are likely approaching the end of a complete seismic cycle. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005GL024558","issn":"00948276","usgsCitation":"Pollitz, F., Banerjee, P., Burgmann, R., Hashimoto, M., and Choosakul, N., 2006, Stress changes along the Sunda trench following the 26 December 2004 Sumatra-Andaman and 28 March 2005 Nias earthquakes: Geophysical Research Letters, v. 33, no. 6, https://doi.org/10.1029/2005GL024558.","costCenters":[],"links":[{"id":477644,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005gl024558","text":"Publisher Index Page"},{"id":239386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211989,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005GL024558"}],"volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2006-03-23","publicationStatus":"PW","scienceBaseUri":"505b9b53e4b08c986b31cddf","contributors":{"authors":[{"text":"Pollitz, F. F.","contributorId":108280,"corporation":false,"usgs":true,"family":"Pollitz","given":"F. F.","affiliations":[],"preferred":false,"id":427817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banerjee, P.","contributorId":90525,"corporation":false,"usgs":true,"family":"Banerjee","given":"P.","email":"","affiliations":[],"preferred":false,"id":427816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgmann, R.","contributorId":10167,"corporation":false,"usgs":true,"family":"Burgmann","given":"R.","affiliations":[],"preferred":false,"id":427813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hashimoto, M.","contributorId":33917,"corporation":false,"usgs":true,"family":"Hashimoto","given":"M.","email":"","affiliations":[],"preferred":false,"id":427815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choosakul, N.","contributorId":24568,"corporation":false,"usgs":true,"family":"Choosakul","given":"N.","email":"","affiliations":[],"preferred":false,"id":427814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030668,"text":"70030668 - 2006 - Daily energy expenditure in free-ranging Gopher Tortoises (Gopherus polyphemus)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:00","indexId":"70030668","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Daily energy expenditure in free-ranging Gopher Tortoises (Gopherus polyphemus)","docAbstract":"Studies of ecological energetics in chelonians are rare. Here, we report the first measurements of daily energy expenditure (DEE) and water influx rates (WIRs) in free-ranging adult Gopher Tortoises (Gopherus polyphemus). We used the doubly labeled water (DLW) method to measure DEE in six adult tortoises during the non-breeding season in south-central Mississippi, USA. Tortoise DEE ranged from 76.7-187.5 kj/day and WIR ranged from 30.6-93.1 ml H2O/day. Daily energy expenditure did not differ between the sexes, but DEE was positively related to body mass. Water influx rates varied with the interaction of sex and body mass. We used a log/log regression model to assess the allometric relationship between DEE and body mass for Gopher Tortoises, Desert Tortoises (Gopherus agassizii), and Box Turtles (Terrapene carolina), the only chelonians for which DEE has been measured. The slope of this allometric model (0.626) was less than that previously calculated for herbivorous reptiles (0.813), suggesting that chelonians may expend energy at a slower rate per unit of body mass compared to other herbivorous reptiles. We used retrospective power analyses and data from the DLW isotope analyses to develop guidelines for sample sizes and duration of measurement intervals, respectively, for larger-scale energetic studies in this species. ?? 2006 by the American Society of Ichthyologists and Herpetologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1643/0045-8511(2006)006[0129:DEEIFG]2.0.CO;2","issn":"00458511","usgsCitation":"Jodice, P., Epperson, D., and Visser, G.H., 2006, Daily energy expenditure in free-ranging Gopher Tortoises (Gopherus polyphemus): Copeia, no. 1, p. 129-136, https://doi.org/10.1643/0045-8511(2006)006[0129:DEEIFG]2.0.CO;2.","startPage":"129","endPage":"136","numberOfPages":"8","costCenters":[],"links":[{"id":211936,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/0045-8511(2006)006[0129:DEEIFG]2.0.CO;2"},{"id":239321,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd59e4b0c8380cd4e7bd","contributors":{"authors":[{"text":"Jodice, P.G.R.","contributorId":79846,"corporation":false,"usgs":true,"family":"Jodice","given":"P.G.R.","email":"","affiliations":[],"preferred":false,"id":428132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Epperson, D.M. 0000-0002-0567-4915","orcid":"https://orcid.org/0000-0002-0567-4915","contributorId":95246,"corporation":false,"usgs":true,"family":"Epperson","given":"D.M.","affiliations":[],"preferred":false,"id":428133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Visser, G. Henk","contributorId":105497,"corporation":false,"usgs":false,"family":"Visser","given":"G.","email":"","middleInitial":"Henk","affiliations":[],"preferred":false,"id":428134,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1001073,"text":"1001073 - 2006 - Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","interactions":[],"lastModifiedDate":"2012-02-02T00:04:44","indexId":"1001073","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations","docAbstract":"Stock-recruit models typically use only spawning stock size as a predictor of recruitment to a fishery. In this paper, however, we used spawning stock size as well as larval density and key environmental variables to predict recruitment of white crappies Pomoxis annularis and black crappies P. nigromaculatus, a genus notorious for variable recruitment. We sampled adults and recruits from 11 Ohio reservoirs and larvae from 9 reservoirs during 1998-2001. We sampled chlorophyll as an index of reservoir productivity and obtained daily estimates of water elevation to determine the impact of hydrology on recruitment. Akaike's information criterion (AIC) revealed that Ricker and Beverton-Holt stock-recruit models that included chlorophyll best explained the variation in larval density and age-2 recruits. Specifically, spawning stock catch per effort (CPE) and chlorophyll explained 63-64% of the variation in larval density. In turn, larval density and chlorophyll explained 43-49% of the variation in age-2 recruit CPE. Finally, spawning stock CPE and chlorophyll were the best predictors of recruit CPE (i.e., 74-86%). Although larval density and recruitment increased with chlorophyll, neither was related to seasonal water elevation. Also, the AIC generally did not distinguish between Ricker and Beverton-Holt models. From these relationships, we concluded that crappie recruitment can be limited by spawning stock CPE and larval production when spawning stock sizes are low (i.e., CPE , 5 crappies/net-night). At higher levels of spawning stock sizes, spawning stock CPE and recruitment were less clearly related. To predict recruitment in Ohio reservoirs, managers should assess spawning stock CPE with trap nets and estimate chlorophyll concentrations. To increase crappie recruitment in reservoirs where recruitment is consistently poor, managers should use regulations to increase spawning stock size, which, in turn, should increase larval production and recruits to the fishery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Bunnell, D., Hale, R.S., Vanni, M., and Stein, R., 2006, Predicting crappie recruitment in Ohio reservoirs with spawning stock size, larval density, and chlorophyll concentrations: North American Journal of Fisheries Management, v. 26, no. 1, p. 1-12.","productDescription":"p. 1-12","startPage":"1","endPage":"12","numberOfPages":"11","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cae6","contributors":{"authors":[{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":310396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hale, R. Scott","contributorId":104868,"corporation":false,"usgs":true,"family":"Hale","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":310399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanni, Michael J.","contributorId":49756,"corporation":false,"usgs":true,"family":"Vanni","given":"Michael J.","affiliations":[],"preferred":false,"id":310398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stein, Roy A.","contributorId":21494,"corporation":false,"usgs":true,"family":"Stein","given":"Roy A.","affiliations":[],"preferred":false,"id":310397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":1016477,"text":"1016477 - 2006 - GIS-based niche modeling for mapping species' habitats","interactions":[],"lastModifiedDate":"2012-02-02T00:04:42","indexId":"1016477","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"GIS-based niche modeling for mapping species' habitats","docAbstract":"Ecological a??niche modelinga?? using presence-only locality data and large-scale environmental variables provides a powerful tool for identifying and mapping suitable habitat for species over large spatial extents. We describe a niche modeling approach that identifies a minimum (rather than an optimum) set of basic habitat requirements for a species, based on the assumption that constant environmental relationships in a species' distribution (i.e., variables that maintain a consistent value where the species occurs) are most likely to be associated with limiting factors. Environmental variables that take on a wide range of values where a species occurs are less informative because they do not limit a species' distribution, at least over the range of variation sampled. This approach is operationalized by partitioning Mahalanobis D2 (standardized difference between values of a set of environmental variables for any point and mean values for those same variables calculated from all points at which a species was detected) into independent components. The smallest of these components represents the linear combination of variables with minimum variance; increasingly larger components represent larger variances and are increasingly less limiting. We illustrate this approach using the California Gnatcatcher (Polioptila californica Brewster) and provide SAS code to implement it.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Rotenberry, J., Preston, K., and Knick, S., 2006, GIS-based niche modeling for mapping species' habitats: Ecology, v. 87, no. 6, p. 1458-1464.","productDescription":"p. 1458-1464","startPage":"1458","endPage":"1464","numberOfPages":"7","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":133175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b30e4b07f02db6b40af","contributors":{"authors":[{"text":"Rotenberry, J.T.","contributorId":57015,"corporation":false,"usgs":true,"family":"Rotenberry","given":"J.T.","affiliations":[],"preferred":false,"id":324284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, K.L.","contributorId":68689,"corporation":false,"usgs":true,"family":"Preston","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":324285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knick, S.","contributorId":33676,"corporation":false,"usgs":true,"family":"Knick","given":"S.","email":"","affiliations":[],"preferred":false,"id":324283,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1016490,"text":"1016490 - 2006 - Observations of rapid colonization of constructed ponds by Western toad (Bufo boreas) in Oregon, USA","interactions":[],"lastModifiedDate":"2012-02-02T00:04:42","indexId":"1016490","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Observations of rapid colonization of constructed ponds by Western toad (Bufo boreas) in Oregon, USA","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Pearl, C., and Bowerman, J., 2006, Observations of rapid colonization of constructed ponds by Western toad (Bufo boreas) in Oregon, USA: Western North American Naturalist, v. 66, no. 3, p. 397-401.","productDescription":"p. 397-401","startPage":"397","endPage":"401","numberOfPages":"5","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":133287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6964ba","contributors":{"authors":[{"text":"Pearl, Christopher A. 0000-0003-2943-7321","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":84316,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":324311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowerman, Jay","contributorId":57024,"corporation":false,"usgs":false,"family":"Bowerman","given":"Jay","email":"","affiliations":[],"preferred":false,"id":324310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031031,"text":"70031031 - 2006 - Estimating recharge rates with analytic element models and parameter estimation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70031031","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Estimating recharge rates with analytic element models and parameter estimation","docAbstract":"Quantifying the spatial and temporal distribution of recharge is usually a prerequisite for effective ground water flow modeling. In this study, an analytic element (AE) code (GFLOW) was used with a nonlinear parameter estimation code (UCODE) to quantify the spatial and temporal distribution of recharge using measured base flows as calibration targets. The ease and flexibility of AE model construction and evaluation make this approach well suited for recharge estimation. An AE flow model of an undeveloped watershed in northern Wisconsin was optimized to match median annual base flows at four stream gages for 1996 to 2000 to demonstrate the approach. Initial optimizations that assumed a constant distributed recharge rate provided good matches (within 5%) to most of the annual base flow estimates, but discrepancies of >12% at certain gages suggested that a single value of recharge for the entire watershed is inappropriate. Subsequent optimizations that allowed for spatially distributed recharge zones based on the distribution of vegetation types improved the fit and confirmed that vegetation can influence spatial recharge variability in this watershed. Temporally, the annual recharge values varied >2.5-fold between 1996 and 2000 during which there was an observed 1.7-fold difference in annual precipitation, underscoring the influence of nonclimatic factors on interannual recharge variability for regional flow modeling. The final recharge values compared favorably with more labor-intensive field measurements of recharge and results from studies, supporting the utility of using linked AE-parameter estimation codes for recharge estimation. Copyright ?? 2005 The Author(s).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2005.00115.x","issn":"0017467X","usgsCitation":"Dripps, W.R., Hunt, R.J., and Anderson, M.P., 2006, Estimating recharge rates with analytic element models and parameter estimation: Ground Water, v. 44, no. 1, p. 47-55, https://doi.org/10.1111/j.1745-6584.2005.00115.x.","startPage":"47","endPage":"55","numberOfPages":"9","costCenters":[],"links":[{"id":211394,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2005.00115.x"},{"id":238677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2005-08-24","publicationStatus":"PW","scienceBaseUri":"505a0b3de4b0c8380cd5262f","contributors":{"authors":[{"text":"Dripps, W. R.","contributorId":27978,"corporation":false,"usgs":true,"family":"Dripps","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":429696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, R. J.","contributorId":40164,"corporation":false,"usgs":true,"family":"Hunt","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Marilyn P.","contributorId":102970,"corporation":false,"usgs":true,"family":"Anderson","given":"Marilyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":429698,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70031044,"text":"70031044 - 2006 - The allometric relationship between resting metabolic rate and body mass in wild waterfowl (Anatidae) and an application to estimation of winter habitat requirements","interactions":[],"lastModifiedDate":"2012-03-12T17:21:15","indexId":"70031044","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"The allometric relationship between resting metabolic rate and body mass in wild waterfowl (Anatidae) and an application to estimation of winter habitat requirements","docAbstract":"We examined the allometric relationship between resting metabolic rate (RMR; kJ day-1) and body mass (kg) in wild waterfowl (Anatidae) by regressing RMR on body mass using species means from data obtained from published literature (18 sources, 54 measurements, 24 species; all data from captive birds). There was no significant difference among measurements from the rest (night; n = 37), active (day; n = 14), and unspecified (n = 3) phases of the daily cycle (P > 0.10), and we pooled these measurements for analysis. The resulting power function (aMassb) for all waterfowl (swans, geese, and ducks) had an exponent (b; slope of the regression) of 0.74, indistinguishable from that determined with commonly used general equations for nonpasserine birds (0.72-0.73). In contrast, the mass proportionality coefficient (b; y-intercept at mass = 1 kg) of 422 exceeded that obtained from the nonpasserine equations by 29%-37%. Analyses using independent contrasts correcting for phylogeny did not substantially alter the equation. Our results suggest the waterfowl equation provides a more appropriate estimate of RMR for bioenergetics analyses of waterfowl than do the general nonpasserine equations. When adjusted with a multiple to account for energy costs of free living, the waterfowl equation better estimates daily energy expenditure. Using this equation, we estimated that the extent of wetland habitat required to support wintering waterfowl populations could be 37%-50% higher than previously predicted using general nonpasserine equations. ?? The Cooper Ornithological Society 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1650/0010-5422(2006)108[0166:TARBRM]2.0.CO;2","issn":"00105422","usgsCitation":"Miller, M.R., and Eadie, J.M., 2006, The allometric relationship between resting metabolic rate and body mass in wild waterfowl (Anatidae) and an application to estimation of winter habitat requirements: Condor, v. 108, no. 1, p. 166-177, https://doi.org/10.1650/0010-5422(2006)108[0166:TARBRM]2.0.CO;2.","startPage":"166","endPage":"177","numberOfPages":"12","costCenters":[],"links":[{"id":477419,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/0010-5422(2006)108[0166:tarbrm]2.0.co;2","text":"Publisher Index Page"},{"id":238871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211565,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/0010-5422(2006)108[0166:TARBRM]2.0.CO;2"}],"volume":"108","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba9b6e4b08c986b32245b","contributors":{"authors":[{"text":"Miller, M. R.","contributorId":19104,"corporation":false,"usgs":true,"family":"Miller","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":429753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, J. McA","contributorId":92206,"corporation":false,"usgs":true,"family":"Eadie","given":"J.","email":"","middleInitial":"McA","affiliations":[],"preferred":false,"id":429754,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":1001090,"text":"1001090 - 2006 - Lake whitefish and lake herring population structure and niche in ten south-central Ontario lakes","interactions":[],"lastModifiedDate":"2016-05-09T09:03:05","indexId":"1001090","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Lake whitefish and lake herring population structure and niche in ten south-central Ontario lakes","docAbstract":"This study compares simple fish communities of ten oligotrophic lakes in south-central Ontario. Species densities and population size structure vary significantly among these lake communities depending on fish species present beyond the littoral zone. Lake whitefish are fewer and larger in the presence of lake herring than in their absence. Diet analysis indicates that lake whitefish shift from feeding on both plankton and benthic prey when lake herring are absent to a primarily benthic feeding niche in the presence of lake herring. When benthic round whitefish are present, lake whitefish size and density decline and they move lower in the lake compared to round whitefish. Burbot are also fewer and larger in lakes with lake herring than in lakes without herring. Burbot, in turn, appear to influence the population structure of benthic coregonine species. Lower densities of benthic lake whitefish and round whitefish are found in lakes containing large benthic burbot than in lakes with either small burbot or where burbot are absent. Predation on the pelagic larvae of burbot and lake whitefish by planktivorous lake herring alters the size and age structure of these populations. As life history theory predicts, those species with poor larval survival appear to adopt a bet-hedging life history strategy of long-lived individuals as a reproductive reserve.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-006-0030-4","usgsCitation":"Carl, L.M., and McGuiness, F., 2006, Lake whitefish and lake herring population structure and niche in ten south-central Ontario lakes: Environmental Biology of Fishes, v. 75, no. 3, p. 315-323, https://doi.org/10.1007/s10641-006-0030-4.","productDescription":"9 p.","startPage":"315","endPage":"323","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":133721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b42f5","contributors":{"authors":[{"text":"Carl, Leon M. lcarl@usgs.gov","contributorId":287,"corporation":false,"usgs":true,"family":"Carl","given":"Leon","email":"lcarl@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":310466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuiness, Fiona","contributorId":45676,"corporation":false,"usgs":true,"family":"McGuiness","given":"Fiona","email":"","affiliations":[],"preferred":false,"id":310467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171284,"text":"70171284 - 2006 - Advances in recreational water quality monitoring at Indiana Dunes National Lakeshore","interactions":[],"lastModifiedDate":"2016-05-26T10:58:18","indexId":"70171284","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Advances in recreational water quality monitoring at Indiana Dunes National Lakeshore","docAbstract":"Indiana Dunes has improved its ability to protect the health of swimmers through better science-based management and increased understanding of contaminants. Most research has focused on Escherichia coli and its nature, sources, and distribution because it is widely accepted as an indicator of potential pathogens. Though research on E. coli and recreational water quality is continually generating new information, public beach managers may gain valuable insight into this management issue from our experience at Indiana Dunes. This article reviews one of the longest maintained indicator bacteria monitoring programs in the National Park System, highlights lessons learned, and summarizes research findings that may be of interest to public beach managers.
","language":"English","publisher":"U.S. National Park Service","usgsCitation":"Smith, W., Nevers, M., and Whitman, R.L., 2006, Advances in recreational water quality monitoring at Indiana Dunes National Lakeshore: Park Science, v. 24, no. 1, p. 19-23.","productDescription":"5 p.","startPage":"19","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321730,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.nps.gov/ParkScience/dyn7navContent.cfm?metaDescriptionPageTitle=Archive:%202005%20to%202010&navArticleID=3&navArticlePageID=18&navArticlePageTitle=2005%20to%202010&navArticlePageNum=6&CFID=24647153&CFTOKEN=7560cd3227dc0db2-49B8158E-155D-AD0C-81122D4B1D003F87"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e2be4b07e28b664db7f","contributors":{"authors":[{"text":"Smith, Wendy","contributorId":169642,"corporation":false,"usgs":false,"family":"Smith","given":"Wendy","email":"","affiliations":[],"preferred":false,"id":630433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170961,"text":"70170961 - 2006 - Guide to the identification of fish protozoan and metazoan parasites in stained tissue sections","interactions":[],"lastModifiedDate":"2016-05-12T16:07:36","indexId":"70170961","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Guide to the identification of fish protozoan and metazoan parasites in stained tissue sections","docAbstract":"The identification of protozoan and metazoan parasites is traditionally carried out using a series of classical keys based upon the morphology of the whole organism. However, in stained tissue sections prepared for light microscopy, taxonomic features will be missing, thus making parasite identification difficult. This work highlights the characteristic features of representative parasites in tissue sections to aid identification. The parasite examples discussed are derived from species affecting finfish, and predominantly include parasites associated with disease or those commonly observed as incidental findings in disease diagnostic cases. Emphasis is on protozoan and small metazoan parasites (such as Myxosporidia) because these are the organisms most likely to be missed or mis-diagnosed during gross examination. Figures are presented in colour to assist biologists and veterinarians who are required to assess host/parasite interactions by light microscopy.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao070001","usgsCitation":"Bruno, D., Nowak, B., and Elliott, D., 2006, Guide to the identification of fish protozoan and metazoan parasites in stained tissue sections: Diseases of Aquatic Organisms, v. 70, no. 1-2, p. 1-36, https://doi.org/10.3354/dao070001.","productDescription":"36 p.","startPage":"1","endPage":"36","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":477610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao070001","text":"Publisher Index Page"},{"id":321189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5735a939e4b0dae0d5df5123","contributors":{"authors":[{"text":"Bruno, D.W.","contributorId":44319,"corporation":false,"usgs":true,"family":"Bruno","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":629241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, B.","contributorId":84948,"corporation":false,"usgs":true,"family":"Nowak","given":"B.","email":"","affiliations":[],"preferred":false,"id":629242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, D.G.","contributorId":58226,"corporation":false,"usgs":true,"family":"Elliott","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":629243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171293,"text":"70171293 - 2006 - A broadscale fish-habitat model development process: Genesee Basin, New York","interactions":[],"lastModifiedDate":"2016-05-26T11:18:26","indexId":"70171293","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"48","subseriesTitle":"American Fisheries Society Symposia","title":"A broadscale fish-habitat model development process: Genesee Basin, New York","docAbstract":"We describe a methodology for developing species-habitat models using available fish and stream habitat data from New York State, focusing on the Genesee basin. Electrofishing data from the New York Department of Environmental Conservation were standardized and used for model development and testing. Four types of predictive models (multiple linear regression, stepwise multiple linear regression, linear discriminant analysis, and neural network) were developed and compared for 11 fish species. Predictive models used as many as 25 habitat variables and explained 35-91% of observed species abundance variability. Omission rates were generally low, but commission rates varied widely. Neural network models performed best for all species, except for rainbow trout Oncorhynchus mykiss, gizzard shad Dorosoma cepedianum, and brown trout Salmo trutta. Linear discriminant functions generally performed poorly. The species-environment models we constructed performed well and have potential applications to management issues.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landscape influences on stream habitats and biological assemblages","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"McKenna, J., McDonald, R.R., Castiglione, C., Morrison, S.S., Kowalski, K., and Passino, D.R., 2006, A broadscale fish-habitat model development process: Genesee Basin, New York, chap. of Landscape influences on stream habitats and biological assemblages, p. 533-554.","productDescription":"22 p.","startPage":"533","endPage":"554","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/x54048xm/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e2ae4b07e28b664db75","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":630457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":630458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castiglione, Chris","contributorId":150899,"corporation":false,"usgs":false,"family":"Castiglione","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":630459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Sandy S.","contributorId":169644,"corporation":false,"usgs":false,"family":"Morrison","given":"Sandy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":630460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Passino, Dora R. May","contributorId":23877,"corporation":false,"usgs":true,"family":"Passino","given":"Dora","email":"","middleInitial":"R. May","affiliations":[],"preferred":false,"id":630462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171292,"text":"70171292 - 2006 - Modeling brook trout presence and absence from landscape variables using four different analytical methods","interactions":[],"lastModifiedDate":"2016-05-26T11:19:04","indexId":"70171292","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"48","subseriesTitle":"American Fisheries Society Symposia","title":"Modeling brook trout presence and absence from landscape variables using four different analytical methods","docAbstract":"As a part of the Great Lakes Regional Aquatic Gap Analysis Project, we evaluated methodologies for modeling associations between fish species and habitat characteristics at a landscape scale. To do this, we created brook trout Salvelinus fontinalis presence and absence models based on four different techniques: multiple linear regression, logistic regression, neural networks, and classification trees. The models were tested in two ways: by application to an independent validation database and cross-validation using the training data, and by visual comparison of statewide distribution maps with historically recorded occurrences from the Michigan Fish Atlas. Although differences in the accuracy of our models were slight, the logistic regression model predicted with the least error, followed by multiple regression, then classification trees, then the neural networks. These models will provide natural resource managers a way to identify habitats requiring protection for the conservation of fish species.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landscape influences on stream habitats and biological assemblages","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Steen, P.J., Passino-Reader, D.R., and Wiley, M., 2006, Modeling brook trout presence and absence from landscape variables using four different analytical methods, chap. of Landscape influences on stream habitats and biological assemblages, p. 513-531.","productDescription":"19 p.","startPage":"513","endPage":"531","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321743,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/x54048xm/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57481e38e4b07e28b664dbdf","contributors":{"authors":[{"text":"Steen, Paul J.","contributorId":12342,"corporation":false,"usgs":true,"family":"Steen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":630453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passino-Reader, Dora R.","contributorId":50839,"corporation":false,"usgs":true,"family":"Passino-Reader","given":"Dora","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":630454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Michael J.","contributorId":30112,"corporation":false,"usgs":true,"family":"Wiley","given":"Michael J.","affiliations":[],"preferred":false,"id":630455,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170962,"text":"70170962 - 2006 - Interaction Assessment: A modeling tool for predicting population dynamics from field data","interactions":[],"lastModifiedDate":"2016-05-12T16:29:43","indexId":"70170962","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Interaction Assessment: A modeling tool for predicting population dynamics from field data","docAbstract":"Interaction Assessment (INTASS) is a field and analytic methodology for constructing population dynamics models. Because data collected in generating a model for one species comprise much of the information needed for other species, a small increase in effort can result in simultaneous expressions for the dynamics of multiple species. These expressions can be used to simulate whole community responses to environmental change, including management actions. Since publication of the most recent paper in this series, the INTASS methodology has undergone a large number of developments. These include the use of conceptual models to direct field and modeling efforts and incorporation of an information theoretic approach to model selection. We review these modifications and additions, applying them to a population of Sitka black-tailed deer (Odocoilius hemionis) in Alaska and to cheatgrass (Bromus tectorum) at the Desert Experimental Range in Utah. In both cases, useful information about the species’ ecology and population trends was ascertained. INTASS is portable across a wide range of taxa, habitats and management situations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2005.07.012","usgsCitation":"Emlen, J.M., Duda, J.J., Kirchhoff, M.D., and Freeman, D.C., 2006, Interaction Assessment: A modeling tool for predicting population dynamics from field data: Ecological Modelling, v. 192, no. 3-4, p. 557-570, https://doi.org/10.1016/j.ecolmodel.2005.07.012.","productDescription":"14 p.","startPage":"557","endPage":"570","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":321194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5735a93de4b0dae0d5df512d","contributors":{"authors":[{"text":"Emlen, John M.","contributorId":168812,"corporation":false,"usgs":true,"family":"Emlen","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":629249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":145486,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":629250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirchhoff, Matt D.","contributorId":169302,"corporation":false,"usgs":false,"family":"Kirchhoff","given":"Matt","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":629251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, D. Carl","contributorId":31599,"corporation":false,"usgs":false,"family":"Freeman","given":"D.","email":"","middleInitial":"Carl","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":629252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171137,"text":"70171137 - 2006 - Genetic structure of Cantharellus formosus populations in a second-growth temperate rain forest of the Pacific Northwest","interactions":[],"lastModifiedDate":"2016-06-20T11:05:13","indexId":"70171137","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5077,"text":"Pacific Northwest Fungi","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of Cantharellus formosus populations in a second-growth temperate rain forest of the Pacific Northwest","docAbstract":"Cantharellus formosus growing on the Olympic Peninsula of the Pacific Northwest was sampled from September – November 1995 for genetic analysis. A total of ninety-six basidiomes from five clusters separated from one another by 3 - 25 meters were genetically characterized by PCR analysis of 13 arbitrary loci and rDNA sequences. The number of basidiomes in each cluster varied from 15 to 25 and genetic analysis delineated 15 genets among the clusters. Analysis of variance utilizing thirteen apPCR generated genetic molecular markers and PCR amplification of the ribosomal ITS regions indicated that 81.41% of the genetic variation occurred between clusters and 18.59% within clusters. Proximity of the basidiomes within a cluster was not an indicator of genotypic similarity. The molecular profiles of each cluster were distinct and defined as unique populations containing 2 - 6 genets. The monitoring and analysis of this species through non-lethal sampling and future applications is discussed.
","language":"English","publisher":"Pacific Northwest Fungi Project","publisherLocation":"Seattle, WA","doi":"10.2509/pnwf.2006.001.007","usgsCitation":"Redman, R.S., Ranson, J., and Rodriguez, R.J., 2006, Genetic structure of Cantharellus formosus populations in a second-growth temperate rain forest of the Pacific Northwest: Pacific Northwest Fungi, v. 1, no. 7, p. 1-13, https://doi.org/10.2509/pnwf.2006.001.007.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":488457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2509/pnwf.2006.001.007","text":"Publisher Index Page"},{"id":323974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913c4e4b07657d19ff0a5","contributors":{"authors":[{"text":"Redman, Regina S. 0000-0001-5108-7570","orcid":"https://orcid.org/0000-0001-5108-7570","contributorId":75829,"corporation":false,"usgs":true,"family":"Redman","given":"Regina","email":"","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":630081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ranson, Judith","contributorId":169579,"corporation":false,"usgs":false,"family":"Ranson","given":"Judith","email":"","affiliations":[],"preferred":false,"id":630082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Rusty J.","contributorId":62497,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Rusty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":630083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}