{"pageNumber":"1972","pageRowStart":"49275","pageSize":"25","recordCount":184617,"records":[{"id":70190462,"text":"70190462 - 2010 - Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy","interactions":[],"lastModifiedDate":"2017-09-01T11:05:40","indexId":"70190462","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy","docAbstract":"<p><span>Rock uplift rates can be difficult to measure over 10</span><sup>3</sup><span>–10</span><sup>5</sup><span><span>&nbsp;</span>yr time scales. If, however, a landscape approaches steady state, where hillslope erosion and rock uplift rates are steady and locally similar, then it should be possible to quantify rock uplift rates from hillslope erosion rates. Here, we test this prediction by comparing channel steepness index values and<span>&nbsp;</span></span><sup>10</sup><span>Be catchment-averaged erosion rates to well-constrained rock uplift rates in two landscapes in Italy. The first field area is the Romagna Apennines, northern Italy, where rock uplift rates are relatively uniform, between 0.2 and 0.5 mm/yr (regional mean 0.40 ± 0.15 [SE] mm/yr), and have been steady since 0.9 Ma. The second area is the region around northeastern Sicily and the southernmost Italian peninsula, where rock uplift rates are higher and exhibit a strong spatial gradient, from ∼0.7 to ∼1.6 mm/yr (regional mean 1.09 ± 0.13 [SE] mm/yr). In both regions, channel steepness indices and<span>&nbsp;</span></span><sup>10</sup><span>Be erosion rates vary directly with rock uplift rates. Although there is considerable variability in erosion rates, regionally averaged rates in both the northern (0.46 ± 0.04 [SE] mm/yr) and southern (1.21 ± 0.24 [SE] mm/yr) areas accurately measure rock uplift rates. Although channel steepness indices do not quantify rock uplift rates, they are useful for (1) identifying regional patterns of rock uplift, (2) identifying areas where uplift rates might be expected to be uniform, and (3) informing<span>&nbsp;</span></span><sup>10</sup><span>Be sampling strategies. This study demonstrates that, together, channel steepness and hillslope erosion rates can provide a powerful tool for determining rock uplift rates.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/L96.1","usgsCitation":"Cyr, A.J., Granger, D., Olivetti, V., and Molin, P., 2010, Quantifying rock uplift rates using channel steepness and cosmogenic nuclide–determined erosion rates: Examples from northern and southern Italy: Lithosphere, v. 2, no. 3, p. 188-198, https://doi.org/10.1130/L96.1.","productDescription":"11 p.","startPage":"188","endPage":"198","ipdsId":"IP-018502","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":475904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l96.1","text":"Publisher Index Page"},{"id":345420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","volume":"2","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dde4b0e9bde130d017","contributors":{"authors":[{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":40137,"corporation":false,"usgs":true,"family":"Granger","given":"Darryl E.","affiliations":[],"preferred":false,"id":709274,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Olivetti, Valerio","contributorId":191611,"corporation":false,"usgs":false,"family":"Olivetti","given":"Valerio","email":"","affiliations":[],"preferred":false,"id":709276,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Molin, Paola","contributorId":196097,"corporation":false,"usgs":false,"family":"Molin","given":"Paola","email":"","affiliations":[],"preferred":false,"id":709275,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70190465,"text":"70190465 - 2010 - The age of the Steens reversal and the Columbia River Basalt Group","interactions":[],"lastModifiedDate":"2017-08-31T15:48:25","indexId":"70190465","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The age of the Steens reversal and the Columbia River Basalt Group","docAbstract":"<p><span>The Columbia River Basalt Group (CRBG) eruptions have a well-defined relative magnetostratigraphy but have not been definitively correlated to the geomagnetic polarity time scale.&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages are presented from lavas erupted in the<span>&nbsp;</span></span><i>R</i><sub>0</sub><span><span>&nbsp;</span>through<span>&nbsp;</span></span><i>N</i><sub>1</sub><span>magnetozones of the CRBG and in the transition between<span>&nbsp;</span></span><i>R</i><sub>0</sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>N</i><sub>0</sub><span>. Four ages from transitionally magnetized lava flows at Steens Mountain, Catlow Peak, and Poker Jim Ridge with a weighted mean age 16.58</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.10</span><span>&nbsp;</span><span>Ma</span><a class=\"workspace-trigger\" name=\"bfn1\" href=\"http://www.sciencedirect.com/science/article/pii/S0009254110001221?via%3Dihub#fn1\" data-mce-href=\"http://www.sciencedirect.com/science/article/pii/S0009254110001221?via%3Dihub#fn1\"><sup>1</sup></a><span><span>&nbsp;</span>and the more precise age 16.654</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.025</span><span>&nbsp;</span><span>Ma of the normally magnetized Oregon Canyon tuff at the top of the Catlow Peak section show that the oldest CRBG magnetozone (</span><i>R</i><sub>0</sub><span>) correlates with the C5Cr chron. Bayesian statistical analysis applied to data from four flows at Catlow Peak (using the mean age of the Steens reversal) gives a best and preferred age of the Steens reversal of 16.73</span><span>&nbsp;</span><span>+</span><span>&nbsp;</span><span>0.13/−0.08</span><span>&nbsp;</span><span>Ma (95% confidence). Depending on the geomagnetic polarity time scale model, the eruption rate from<span>&nbsp;</span></span><i>N</i><sub>0</sub><span><span>&nbsp;</span>through<span>&nbsp;</span></span><i>R</i><sub>2</sub><span><span>&nbsp;</span>(0.34–0.45</span><span>&nbsp;</span><span>Ma in the middle and the bulk of the CRBG emplacement) averaged 0.30–0.41</span><span>&nbsp;</span><span>km</span><sup>3</sup><span>/a and peaked at a rate 1 1/2 to 4 1/2 times higher during<span>&nbsp;</span></span><i>R</i><sub>2.</sub></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.04.001","usgsCitation":"Jarboe, N.A., Coe, R.S., Renne, P., and Glen, J.M., 2010, The age of the Steens reversal and the Columbia River Basalt Group: Chemical Geology, v. 274, no. 3-4, p. 158-168, https://doi.org/10.1016/j.chemgeo.2010.04.001.","productDescription":"11 p.","startPage":"158","endPage":"168","ipdsId":"IP-021994","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":345397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"274","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a92041e4b07e1a023ccdac","contributors":{"authors":[{"text":"Jarboe, Nicholas A.","contributorId":196084,"corporation":false,"usgs":false,"family":"Jarboe","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, Robert S.","contributorId":20477,"corporation":false,"usgs":true,"family":"Coe","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":709297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renne, Paul R.","contributorId":47680,"corporation":false,"usgs":false,"family":"Renne","given":"Paul R.","affiliations":[],"preferred":false,"id":709298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":709299,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189196,"text":"70189196 - 2010 - Comparison of transport and attachment behaviors of Cryptosporidium parvum oocysts and oocyst-sized microspheres being advected through three minerologically different granular porous media","interactions":[],"lastModifiedDate":"2018-10-09T09:51:49","indexId":"70189196","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of transport and attachment behaviors of <i>Cryptosporidium parvum</i> oocysts and oocyst-sized microspheres being advected through three minerologically different granular porous media","title":"Comparison of transport and attachment behaviors of Cryptosporidium parvum oocysts and oocyst-sized microspheres being advected through three minerologically different granular porous media","docAbstract":"<p><span>In order to gain more information about the fate of&nbsp;</span><i>Cryptosporidium parvum</i><span><span>&nbsp;</span>oocysts in tropical volcanic soils, the transport and attachment behaviors of oocysts and oocyst-sized polystyrene microspheres were studied in the presence of two soils. These soils were chosen because of their differing chemical and physical properties, i.e., an organic-rich (43–46% by mass) volcanic ash-derived soil from the island of Hawaii, and a red, iron (22–29% by mass), aluminum (29–45% by mass), and clay-rich (68–76% by mass) volcanic soil from the island of Oahu. A third agricultural soil, an organic- (13% by mass) and quartz-rich (40% by mass) soil from Illinois, was included for reference. In 10-cm long flow-through columns, oocysts and microspheres advecting through the red volcanic soil were almost completely (98% and 99%) immobilized. The modest breakthrough resulted from preferential flow-path structure inadvertently created by soil-particle aggregation during the re-wetting process. Although a high (99%) removal of oocysts and microsphere within the volcanic ash soil occurred initially, further examination revealed that transport was merely retarded because of highly reversible interactions with grain surfaces. Judging from the slope of the substantive and protracted tail of the breakthrough curve for the 1.8-μm microspheres, almost all (&gt;99%) predictably would be recovered within ∼4000 pore volumes. This suggests that once contaminated, the volcanic ash soil could serve as a reservoir for subsequent contamination of groundwater, at least for pathogens of similar size or smaller. Because of the highly reversible nature of organic colloid immobilization in this soil type,<span>&nbsp;</span></span><i>C. parvum</i><span><span>&nbsp;</span>could contaminate surface water should overland flow during heavy precipitation events pick up near-surface grains to which they are attached. Surprisingly, oocyst and microsphere attachment to the reference soil from Illinois appeared to be at least as sensitive to changes in pH as was observed for the red, metal-oxide rich soil from Oahu. In contrast, colloidal attachment in the organic-rich, volcanic ash soil was relatively insensitive to changes in pH in spite of the high iron content. Given the fundamental differences in transport behavior of oocyst-sized colloids within the two volcanic soils of similar origin, agricultural practices modified to lessen<span>&nbsp;</span></span><i>C. parvum</i><span><span>&nbsp;</span>contamination of ground or surface water would necessitate taking the individual soil properties into account.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2010.06.015","usgsCitation":"Mohanram, A., Ray, C., Harvey, R.W., Metge, D.W., Ryan, J.N., Chorover, J., and Eberl, D.D., 2010, Comparison of transport and attachment behaviors of Cryptosporidium parvum oocysts and oocyst-sized microspheres being advected through three minerologically different granular porous media: Water Research, v. 44, no. 18, p. 5334-5344, https://doi.org/10.1016/j.watres.2010.06.015.","productDescription":"11 p.","startPage":"5334","endPage":"5344","ipdsId":"IP-014207","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab9e4b0d1f9f056a7c1","contributors":{"authors":[{"text":"Mohanram, Arvind","contributorId":194201,"corporation":false,"usgs":false,"family":"Mohanram","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":703511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Chittaranjan","contributorId":194209,"corporation":false,"usgs":false,"family":"Ray","given":"Chittaranjan","email":"","affiliations":[],"preferred":false,"id":703512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":703515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chorover, Jon 0000-0001-9497-0195","orcid":"https://orcid.org/0000-0001-9497-0195","contributorId":139472,"corporation":false,"usgs":false,"family":"Chorover","given":"Jon","email":"","affiliations":[],"preferred":false,"id":703516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217568,"text":"70217568 - 2010 - Efficient estimators for adaptive stratified sequential sampling","interactions":[],"lastModifiedDate":"2021-01-21T23:55:14.353079","indexId":"70217568","displayToPublicDate":"2009-12-08T17:52:06","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2463,"text":"Journal of Statistical Computation and Simulation","active":true,"publicationSubtype":{"id":10}},"title":"Efficient estimators for adaptive stratified sequential sampling","docAbstract":"<p><span>In stratified sampling, methods for the allocation of effort among strata usually rely on some measure of within-stratum variance. If we do not have enough information about these variances, adaptive allocation can be used. In adaptive allocation designs, surveys are conducted in two phases. Information from the first phase is used to allocate the remaining units among the strata in the second phase. Brown&nbsp;</span><i>et al</i><span>. [</span><i>Adaptive two-stage sequential sampling</i><span>, Popul. Ecol. 50 (2008), pp. 239–245] introduced an adaptive allocation sampling design – where the final sample size was random – and an unbiased estimator. Here, we derive an unbiased variance estimator for the design, and consider a related design where the final sample size is fixed. Having a fixed final sample size can make survey-planning easier. We introduce a biased Horvitz–Thompson type estimator and a biased sample mean type estimator for the sampling designs. We conduct two simulation studies on honey producers in Kurdistan and synthetic zirconium distribution in a region on the moon. Results show that the introduced estimators are more efficient than the available estimators for both variable and fixed sample size designs, and the conventional unbiased estimator of stratified simple random sampling design. In order to evaluate efficiencies of the introduced designs and their estimator furthermore, we first review some well-known adaptive allocation designs and compare their estimator with the introduced estimators. Simulation results show that the introduced estimators are more efficient than available estimators of these well-known adaptive allocation designs.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00949650903005664","usgsCitation":"Salehi, M., Moradi, M., Brown, J., and Smith, D.R., 2010, Efficient estimators for adaptive stratified sequential sampling: Journal of Statistical Computation and Simulation, v. 80, no. 10, p. 1163-1179, https://doi.org/10.1080/00949650903005664.","productDescription":"17 p.","startPage":"1163","endPage":"1179","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Salehi, M.","contributorId":94483,"corporation":false,"usgs":true,"family":"Salehi","given":"M.","email":"","affiliations":[],"preferred":false,"id":808703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, M.","contributorId":69376,"corporation":false,"usgs":true,"family":"Moradi","given":"M.","email":"","affiliations":[],"preferred":false,"id":808704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jennifer 0000-0003-3137-7073 jenniferbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":181793,"corporation":false,"usgs":true,"family":"Brown","given":"Jennifer","email":"jenniferbrown@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227339,"text":"70227339 - 2010 - Landscape-level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala","interactions":[],"lastModifiedDate":"2022-01-10T16:44:20.889201","indexId":"70227339","displayToPublicDate":"2009-12-04T10:34:03","publicationYear":"2010","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":"Landscape-level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala","docAbstract":"<p><span>Tropical forest destruction and fragmentation of habitat patches may reduce population persistence at the landscape level. Given the complex nature of simultaneously evaluating the effects of these factors on biotic populations, statistical presence/absence modelling has become an important tool in conservation biology. This study uses logistic regression to evaluate the independent effects of tropical forest cover and fragmentation on bird occurrence in eastern Guatemala. Logistic regression models were constructed for 10 species with varying response to habitat alteration. Predictive variables quantified forest cover, fragmentation and their interaction at three different radii (200, 500 and 1000</span><span>&nbsp;</span><span>m scales) of 112 points where presence of target species was determined. Most species elicited a response to the 1000</span><span>&nbsp;</span><span>m scale, which was greater than most species’ reported territory size. Thus, their presence at the landscape scale is probably regulated by extra-territorial phenomena, such as dispersal. Although proportion of forest cover was the most important predictor of species’ presence, there was strong evidence of area-independent and -dependent fragmentation effects on species presence, results that contrast with other studies from northernmost latitudes. Species’ habitat breadth was positively correlated with AIC model values, indicating a better fit for species more restricted to tropical forest. Species with a narrower habitat breadth also elicited stronger negative responses to forest loss. Habitat breadth is thus a simple measure that can be directly related to species’ vulnerability to landscape modification. Model predictive accuracy was acceptable for 4 of 10 species, which were in turn those with narrower habitat breadths.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2009.10.038","usgsCitation":"Cerezo, A., Perelman, S., and Robbins, C.S., 2010, Landscape-level impact of tropical forest loss and fragmentation on bird occurrence in eastern Guatemala: Ecological Modelling, v. 221, no. 3, p. 512-526, https://doi.org/10.1016/j.ecolmodel.2009.10.038.","productDescription":"15 p.","startPage":"512","endPage":"526","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":394110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guatemala","otherGeospatial":"Cerro San Gil Watershed Protection Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.02084350585938,\n              15.542345184874382\n            ],\n            [\n              -88.60954284667967,\n              15.542345184874382\n            ],\n            [\n              -88.60954284667967,\n              15.786967677939279\n            ],\n            [\n              -89.02084350585938,\n              15.786967677939279\n            ],\n            [\n              -89.02084350585938,\n              15.542345184874382\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"221","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cerezo, A.","contributorId":8201,"corporation":false,"usgs":true,"family":"Cerezo","given":"A.","email":"","affiliations":[],"preferred":false,"id":830517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perelman, Susana","contributorId":271044,"corporation":false,"usgs":false,"family":"Perelman","given":"Susana","email":"","affiliations":[],"preferred":false,"id":830518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Chandler S. crobbins@usgs.gov","contributorId":4275,"corporation":false,"usgs":true,"family":"Robbins","given":"Chandler","email":"crobbins@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272978,"text":"70272978 - 2010 - Tamarisk biocontrol in the western United States: Ecological and societal implications","interactions":[],"lastModifiedDate":"2025-12-11T16:40:15.857219","indexId":"70272978","displayToPublicDate":"2009-11-04T10:31:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tamarisk biocontrol in the western United States: Ecological and societal implications","docAbstract":"<p><span>Tamarisk species (genus Tamarix), also commonly known as saltcedar, are among the most successful plant invaders in the western United States. At the same time, tamarisk has been cited as having enormous economic costs. Accordingly, local, state, and federal agencies have undertaken considerable efforts to eradicate this invasive plant and restore riparian habitats to pre-invasion status. Traditional eradication methods, including herbicide treatments, are now considered undesirable, because they are costly and often have unintended negative impacts on native species. A new biological control agent, the saltcedar leaf beetle (Diorhabda elongata), has been released along many watersheds in the western US, to reduce the extent of tamarisk cover in riparian areas. However, the use of this insect as a biological control agent may have unintended ecological, hydrological, and socioeconomic consequences that need to be anticipated by land managers and stakeholders undertaking restoration efforts. Here, we examine the possible ramifications of tamarisk control and offer recommendations to reduce potential negative impacts on valued riparian systems in the western US.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/090031","usgsCitation":"Hultine, K., Belnap, J., van Riper, C., Ehleringer, J.R., Dennison, P.E., Lee, M.E., Nagler, P., Snyder, K.A., Uselman, S.M., and West, J.B., 2010, Tamarisk biocontrol in the western United States: Ecological and societal implications: Frontiers in Ecology and the Environment, v. 8, no. 9, p. 467-474, https://doi.org/10.1890/090031.","productDescription":"8 p.","startPage":"467","endPage":"474","ipdsId":"IP-011143","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Hultine, Kevin","contributorId":363779,"corporation":false,"usgs":false,"family":"Hultine","given":"Kevin","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne","contributorId":363776,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","affiliations":[],"preferred":true,"id":951965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":951967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehleringer, James R","contributorId":363780,"corporation":false,"usgs":false,"family":"Ehleringer","given":"James","middleInitial":"R","affiliations":[{"id":86735,"text":"Department of Biology, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennison, Philip E.","contributorId":363781,"corporation":false,"usgs":false,"family":"Dennison","given":"Philip","middleInitial":"E.","affiliations":[{"id":86736,"text":"Dept.of Geolgraphy, U of Utah","active":true,"usgs":false}],"preferred":false,"id":951970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Martha E.","contributorId":363782,"corporation":false,"usgs":false,"family":"Lee","given":"Martha","middleInitial":"E.","affiliations":[{"id":86737,"text":"School of Forestry, NAU","active":true,"usgs":false}],"preferred":false,"id":951971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":951966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, Keirith A.","contributorId":363783,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","middleInitial":"A.","affiliations":[{"id":86738,"text":"USDA, Ag Research","active":true,"usgs":false}],"preferred":false,"id":951972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Uselman, Shauna M.","contributorId":261618,"corporation":false,"usgs":false,"family":"Uselman","given":"Shauna","email":"","middleInitial":"M.","affiliations":[{"id":52928,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":951985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"West, Jason B.","contributorId":221019,"corporation":false,"usgs":false,"family":"West","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":951986,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70227365,"text":"70227365 - 2010 - Mercury flux to sediments of Lake Tahoe, California–Nevada","interactions":[],"lastModifiedDate":"2022-01-11T14:40:59.618352","indexId":"70227365","displayToPublicDate":"2009-11-04T08:31:35","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury flux to sediments of Lake Tahoe, California–Nevada","docAbstract":"<p><span>We report estimates of mercury (Hg) flux to the sediments of Lake Tahoe, California–Nevada: 2 and 15–20&nbsp;µg/m</span><sup>2</sup><span>/year in preindustrial and modern sediments, respectively. These values result in a modern to preindustrial flux ratio of 7.5–10, which is similar to flux ratios recently reported for other alpine lakes in California, and greater than the value of 3 typically seen worldwide. We offer plausible hypotheses to explain the high flux ratios, including (1) proportionally less photoreduction and evasion of Hg with the onset of cultural eutrophication and (2) a combination of enhanced regional oxidation of gaseous elemental Hg and transport of the resulting reactive gaseous Hg to the surface with nightly downslope flows of air. If either of these mechanisms is correct, it could lead to local/regional solutions to lessen the impact of globally increasing anthropogenic emissions of Hg on Lake Tahoe and other alpine ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-009-0262-y","usgsCitation":"Drevnick, P.E., Shinneman, A.L., Lamborg, C.H., Engstrom, D., Bothner, M., and Oris, J.T., 2010, Mercury flux to sediments of Lake Tahoe, California–Nevada: Water, Air, & Soil Pollution, v. 210, p. 399-407, https://doi.org/10.1007/s11270-009-0262-y.","productDescription":"9 p.","startPage":"399","endPage":"407","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475952,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3923","text":"External Repository"},{"id":394181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.18630981445312,\n              38.89744587262311\n            ],\n            [\n              -119.91302490234374,\n              38.89744587262311\n            ],\n            [\n              -119.91302490234374,\n              39.28860847419942\n            ],\n            [\n              -120.18630981445312,\n              39.28860847419942\n            ],\n            [\n              -120.18630981445312,\n              38.89744587262311\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"210","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Drevnick, Paul E.","contributorId":218351,"corporation":false,"usgs":false,"family":"Drevnick","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":39814,"text":"Alberta Environment and Parks, Environmental Monitoring and Science Division","active":true,"usgs":false}],"preferred":false,"id":830602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shinneman, Avery L. C.","contributorId":271054,"corporation":false,"usgs":false,"family":"Shinneman","given":"Avery","email":"","middleInitial":"L. C.","affiliations":[],"preferred":false,"id":830603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamborg, Carl H.","contributorId":100307,"corporation":false,"usgs":true,"family":"Lamborg","given":"Carl","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":830604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engstrom, Daniel R","contributorId":220562,"corporation":false,"usgs":false,"family":"Engstrom","given":"Daniel R","affiliations":[{"id":15307,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota","active":true,"usgs":false}],"preferred":false,"id":830605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":830606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oris, James T.","contributorId":179017,"corporation":false,"usgs":false,"family":"Oris","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":830607,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227364,"text":"70227364 - 2010 - Identification of plant species by using high spatial and spectral resolution thermal infrared (8.0–13.5 μm) imagery","interactions":[],"lastModifiedDate":"2022-01-11T14:30:07.62028","indexId":"70227364","displayToPublicDate":"2009-10-29T08:25:56","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9944,"text":"Remote Sensing of the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Identification of plant species by using high spatial and spectral resolution thermal infrared (8.0–13.5 μm) imagery","docAbstract":"<p><span>High spatial and spectral resolution thermal infrared imagery (8.0–13.5</span><span>&nbsp;</span><span>μm) from the SEBASS airborne sensor was used to analyze and map tree canopy spectral features at the State Arboretum of Virginia, near Boyce, Virginia. Fifty tree species were analyzed and about half were directly identified with varying degrees of success on the basis of spectral matched filtering that utilized laboratory-measured leaf spectra as the target signatures. Spectral averages of pixels extracted from SEBASS emissivity data compared favorably with laboratory spectra of leaves collected from individual tree species. Best results were obtained from species having relatively strong spectral contrast, wide and flat leaves, closed planophile canopies, and/or large canopy areas. Tree species having small leaves or unfavorable leaf orientations showed spectral attenuation likely resulting from cavity blackbody effects. Increased spatial resolution and better image calibration and atmospheric correction might lead to further improvements in thermal infrared plant species identification.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.09.019","usgsCitation":"Ribeiro da Luz, B., and Crowley, J.K., 2010, Identification of plant species by using high spatial and spectral resolution thermal infrared (8.0–13.5 μm) imagery: Remote Sensing of the Environment, v. 114, no. 2, p. 404-413, https://doi.org/10.1016/j.rse.2009.09.019.","productDescription":"10 p.","startPage":"404","endPage":"413","costCenters":[],"links":[{"id":394180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ribeiro da Luz, Beatriz bribeirodaluz@usgs.gov","contributorId":3260,"corporation":false,"usgs":true,"family":"Ribeiro da Luz","given":"Beatriz","email":"bribeirodaluz@usgs.gov","affiliations":[],"preferred":true,"id":830600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley, James K.","contributorId":10928,"corporation":false,"usgs":true,"family":"Crowley","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":830601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156065,"text":"70156065 - 2010 - Relations between fish abundances, summer temperatures, and forest harvest in a northern Minnesota stream system from 1997 to 2007","interactions":[],"lastModifiedDate":"2020-10-15T19:29:57.088548","indexId":"70156065","displayToPublicDate":"2009-10-27T01:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Relations between fish abundances, summer temperatures, and forest harvest in a northern Minnesota stream system from 1997 to 2007","docAbstract":"<p><span>Short‐term effects of forest harvest on fish habitat have been well documented, including sediment inputs, leaf litter reductions, and stream warming. However, few studies have considered changes in local climate when examining postlogging changes in fish communities. To address this need, we examined fish abundances between 1997 and 2007 in a basin in a northern hardwood forest. Streams in the basin were subjected to experimental riparian forest harvest in fall 1997. We noted a significant decrease for fish index of biotic integrity and abundance of&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;and&nbsp;</span><i>Phoxinus eos</i><span>&nbsp;over the study period. However, for&nbsp;</span><i>P. eos</i><span>&nbsp;and&nbsp;</span><i>Culaea inconstans</i><span>, the temporal patterns in abundances were related more to summer air temperatures than to fine sediment or spring precipitation when examined using multiple regressions. Univariate regressions suggested that summer air temperatures influenced temporal patterns in fish communities more than fine sediment or spring precipitation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2009.00389.x","usgsCitation":"Merten, E.C., Hemstad, N.A., Eggert, L.S., Johnson, L., Kolka, R., Newman, R.M., and Vondracek, B.C., 2010, Relations between fish abundances, summer temperatures, and forest harvest in a northern Minnesota stream system from 1997 to 2007: Ecology of Freshwater Fish, v. 19, no. 1, p. 63-73, https://doi.org/10.1111/j.1600-0633.2009.00389.x.","productDescription":"11 p.","startPage":"63","endPage":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007936","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475953,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11299/183594","text":"External Repository"},{"id":306753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.89990234375,\n              45.29421101337773\n            ],\n            [\n              -94.89990234375,\n              47.100044694025215\n            ],\n            [\n              -91.856689453125,\n              47.100044694025215\n            ],\n            [\n              -91.856689453125,\n              45.29421101337773\n            ],\n            [\n              -94.89990234375,\n              45.29421101337773\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-19","publicationStatus":"PW","scienceBaseUri":"55cf112be4b01487cbfc77c1","contributors":{"authors":[{"text":"Merten, Eric C.","contributorId":75355,"corporation":false,"usgs":false,"family":"Merten","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":568160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemstad, Nathaniel A.","contributorId":105945,"corporation":false,"usgs":false,"family":"Hemstad","given":"Nathaniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":568161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggert, Lori S.","contributorId":106325,"corporation":false,"usgs":false,"family":"Eggert","given":"Lori","email":"","middleInitial":"S.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":568162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, L.B.","contributorId":83893,"corporation":false,"usgs":true,"family":"Johnson","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":568163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolka, R.K.","contributorId":46332,"corporation":false,"usgs":false,"family":"Kolka","given":"R.K.","email":"","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":568164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, Raymond M.","contributorId":99519,"corporation":false,"usgs":false,"family":"Newman","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":568165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":567788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208543,"text":"70208543 - 2010 - Monitoring and modelling landscape dynamics","interactions":[],"lastModifiedDate":"2020-02-20T10:06:36","indexId":"70208543","displayToPublicDate":"2009-10-20T12:38:49","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring and modelling landscape dynamics","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-009-9417-x","usgsCitation":"Houet, T., Verburg, P.H., and Loveland, T., 2010, Monitoring and modelling landscape dynamics: Landscape Ecology, v. 25, no. 2, p. 163-167, https://doi.org/10.1007/s10980-009-9417-x.","productDescription":"5 p.","startPage":"163","endPage":"167","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475954,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-009-9417-x","text":"Publisher Index Page"},{"id":372347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Houet, Thomas","contributorId":167857,"corporation":false,"usgs":false,"family":"Houet","given":"Thomas","email":"","affiliations":[{"id":24840,"text":"University of Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":782369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verburg, Peter H.","contributorId":222519,"corporation":false,"usgs":false,"family":"Verburg","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":782370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209639,"text":"70209639 - 2010 - The ecology of dust","interactions":[],"lastModifiedDate":"2020-04-16T19:17:30.88482","indexId":"70209639","displayToPublicDate":"2009-10-12T14:12:26","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"The ecology of dust","docAbstract":"<p><span>Wind erosion and associated dust emissions play a fundamental role in many ecological processes and provide important biogeochemical connectivity at scales ranging from individual plants up to the entire globe. Yet, most ecological studies do not explicitly consider dust‐driven processes, perhaps because most relevant research on aeolian (wind‐driven) processes has been presented in a geosciences rather than an ecological context. To bridge this disciplinary gap, we provide a general overview of the ecological importance of dust, examine complex interactions between wind erosion and ecosystem dynamics from the scale of plants and surrounding space to regional and global scales, and highlight specific examples of how disturbance affects these interactions and their consequences. It is likely that changes in climate and intensification of land use will lead to increased dust production from many drylands. To address these issues, environmental scientists, land managers, and policy makers need to consider wind erosion and dust emissions more explicitly in resource management decisions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/090050","usgsCitation":"Field, J., Belnap, J., Breshears, D.D., Neff, J.C., Okin, G.S., Whicker, J., Painter, T.H., Ravi, S., Reheis, M.C., and Reynolds, R.L., 2010, The ecology of dust: Frontiers in Ecology and the Environment, v. 8, no. 8, p. 423-430, https://doi.org/10.1890/090050.","productDescription":"8 p.","startPage":"423","endPage":"430","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2009-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Jason P.","contributorId":87280,"corporation":false,"usgs":true,"family":"Field","given":"Jason P.","affiliations":[],"preferred":false,"id":787324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":787325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":787326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neff, Jason C.","contributorId":34813,"corporation":false,"usgs":true,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":787327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okin, Gregory S","contributorId":193068,"corporation":false,"usgs":false,"family":"Okin","given":"Gregory","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":787328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whicker, J.J.","contributorId":35129,"corporation":false,"usgs":true,"family":"Whicker","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":787329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Painter, Thomas H.","contributorId":193067,"corporation":false,"usgs":false,"family":"Painter","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":787330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ravi, Sujith","contributorId":40844,"corporation":false,"usgs":true,"family":"Ravi","given":"Sujith","affiliations":[],"preferred":false,"id":787331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787333,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70208544,"text":"70208544 - 2010 - An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks","interactions":[],"lastModifiedDate":"2020-02-20T10:07:02","indexId":"70208544","displayToPublicDate":"2009-10-08T12:48:40","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks","docAbstract":"<p><span>A highly automated algorithm called vegetation change tracker (VCT) has been developed for reconstructing recent forest disturbance history using Landsat time series stacks (LTSS). This algorithm is based on the spectral–temporal properties of land cover and forest change processes, and requires little or no fine tuning for most forests with closed or near close canopy cover. It was found very efficient, taking 2–3</span><span>&nbsp;</span><span>h on average to analyze an LTSS consisting of 12 or more Landsat images using an average desktop PC. This LTSS-VCT approach has been used to examine disturbance patterns with a biennial temporal interval from 1984 to 2006 for many locations across the conterminous U.S. Accuracy assessment over 6 validation sites revealed that overall accuracies of around 80% were achieved for disturbances mapped at individual year level. Average user's and producer's accuracies of the disturbance classes were around 70% and 60% in 5 of the 6 sites, respectively, suggesting that although forest disturbances were typically rare as compared with no-change classes, on average the VCT detected more than half of those disturbances with relatively low levels of false alarms. Field assessment revealed that VCT was able to detect most stand clearing disturbance events, including harvest, fire, and urban development, while some non-stand clearing events such as thinning and selective logging were also mapped in western U.S. The applicability of the LTSS-VCT approach depends on the availability of a temporally adequate supply of Landsat imagery. To ensure that forest disturbance records can be developed continuously in the future, it is necessary to plan and develop observational capabilities today that will allow continuous acquisition of frequent Landsat or Landsat-like observations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.08.017","usgsCitation":"Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z., and Vogelmann, J., 2010, An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks: Remote Sensing of Environment, v. 114, no. 1, p. 183-198, https://doi.org/10.1016/j.rse.2009.08.017.","productDescription":"16 p.","startPage":"183","endPage":"198","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":782372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goward, Samuel N.","contributorId":44459,"corporation":false,"usgs":true,"family":"Goward","given":"Samuel","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":782373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":782374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Nancy","contributorId":7657,"corporation":false,"usgs":true,"family":"Thomas","given":"Nancy","affiliations":[],"preferred":false,"id":782375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":782377,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230194,"text":"70230194 - 2010 - Shifting microbial community structure across a marine terrace grassland chronosequence, Santa Cruz, California","interactions":[],"lastModifiedDate":"2022-04-04T15:58:59.136946","indexId":"70230194","displayToPublicDate":"2009-10-08T10:40:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Shifting microbial community structure across a marine terrace grassland chronosequence, Santa Cruz, California","docAbstract":"<p><span>Changes in the biomass and structure of soil microbial communities have the potential to impact ecosystems via interactions with plants and weathering minerals. Previous studies of forested long-term (1000s – 100,000s of years) chronosequences suggest that surface microbial communities change with soil age. However, significant gaps remain in our understanding of long-term soil microbial community dynamics, especially for non-forested ecosystems and in subsurface soil horizons. We investigated soil chemistry, aboveground plant productivity, and soil microbial communities across a grassland chronosequence (65,000–226,000&nbsp;yrs old) located near Santa Cruz, CA. Aboveground net primary productivity (ANPP) initially increased to a maximum and then decreased for the older soils. We used polar lipid fatty acids (PLFA) to investigate microbial communities including both surface (&lt;0.1&nbsp;m) and subsurface (≥0.2&nbsp;m) soil horizons. PLFAs characteristic of Gram-positive bacteria and actinobacteria increased as a fraction of the microbial community with depth while the fungal fraction decreased relative to the surface. Differences among microbial communities from each chronosequence soil were found primarily in the subsurface where older subsurface soils had smaller microbial community biomass, a higher proportion of fungi, and a different community structure than the younger subsurface soil. Subsurface microbial community shifts in biomass and community structure correlated with, and were likely driven by, decreasing soil P availability and Ca concentrations, respectively. Trends in soil chemistry as a function of soil age led to the separation of the biological (≤1&nbsp;m depth) and geochemical (&gt;1&nbsp;m) cycles in the old, slowly eroding landscape we investigated, indicating that this separation, commonly observed in tropical and subtropical ecosystems, can also occur in temperate climates. This study is the first to investigate subsurface microbial communities in a long-term chronosequence. Our results highlight connections between soil chemistry and both the aboveground and belowground parts of an ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2009.09.015","usgsCitation":"Moore, J., Macalady, J.L., Schulz, M., White, A.F., and Brantley, S.L., 2010, Shifting microbial community structure across a marine terrace grassland chronosequence, Santa Cruz, California: Soil Biology and Biochemistry, v. 42, no. 1, p. 21-31, https://doi.org/10.1016/j.soilbio.2009.09.015.","productDescription":"11 p.","startPage":"21","endPage":"31","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":398014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Cruz","otherGeospatial":"Wilder State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.14839935302733,\n              36.9589454697453\n            ],\n            [\n              -122.06634521484374,\n              36.9589454697453\n            ],\n            [\n              -122.06634521484374,\n              37.03298061970249\n            ],\n            [\n              -122.14839935302733,\n              37.03298061970249\n            ],\n            [\n              -122.14839935302733,\n              36.9589454697453\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Joel","contributorId":49034,"corporation":false,"usgs":false,"family":"Moore","given":"Joel","affiliations":[],"preferred":false,"id":839456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macalady, J. L.","contributorId":95600,"corporation":false,"usgs":false,"family":"Macalady","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":839457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":839459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brantley, Susan L. 0000-0003-4320-2342","orcid":"https://orcid.org/0000-0003-4320-2342","contributorId":184201,"corporation":false,"usgs":false,"family":"Brantley","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":839460,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200490,"text":"70200490 - 2010 - Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in belted kingfisher eggs from the upper Hudson River basin, New York, USA","interactions":[],"lastModifiedDate":"2018-11-20T12:45:25","indexId":"70200490","displayToPublicDate":"2009-10-02T10:49:48","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in belted kingfisher eggs from the upper Hudson River basin, New York, USA","docAbstract":"<p><span>Nesting belted kingfishers (hereafter kingfishers,&nbsp;</span><i>Ceryle alcyon</i><span>) were studied on the Hudson River near Fort Edward south to New Baltimore (NY, USA) and three nearby river drainages in 2004. Concentrations of 28 organochlorine pesticides, 160 polychlorinated biphenyl (PCB) congeners, and 17 dioxin and furan (PCDD‐F) congeners were quantified in kingfisher eggs. The pattern of organochlorine pesticides and PCDD‐F congeners did not differ significantly between 14 eggs collected from individual nests on the Hudson River and five eggs similarly collected on three other nearby rivers. In contrast, the pattern of PCB congeners in eggs collected on the Hudson River differed significantly from the other rivers. The differences in patterns of PCB congeners were associated with a higher representation of lower‐numbered congeners on the Hudson River than the other rivers. The higher prevalence of the lower‐numbered congeners and lower prevalence of the higher‐numbered congeners is consistent with Aroclor 1016 and 1242 being the source of the PCBs on the Hudson River. Concentrations in a sample egg collected at each nest were compared to nest survival and egg success (the proportion of eggs hatching in a clutch if at least one egg hatched) of the remaining eggs in the clutch. Models that predicted nest survival and egg success as functions of contaminant levels were poorly distinguished from models that presumed no such associations. Small sample sizes could have contributed to the inability to distinguish among contaminant and no toxicant models. However, we cannot rule out the possibility that contaminant concentrations on the Hudson River were not sufficiently high to demonstrate a relationship between contaminant concentrations and reproductive success in kingfishers.</span></p>","language":"English","publisher":"SETAC","doi":"10.1002/etc.26","usgsCitation":"Custer, T.W., Custer, C.M., and Gray, B.R., 2010, Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in belted kingfisher eggs from the upper Hudson River basin, New York, USA: Environmental Toxicology and Chemistry, v. 29, no. 1, p. 99-110, https://doi.org/10.1002/etc.26.","productDescription":"12 p.","startPage":"99","endPage":"110","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":475955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.26","text":"Publisher Index Page"},{"id":358582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-01","publicationStatus":"PW","scienceBaseUri":"5bf52b6ce4b045bfcae28026","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":749134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":749135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":749136,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192443,"text":"70192443 - 2010 - Effect of hypersaline cooling canals on aquifer salinization","interactions":[],"lastModifiedDate":"2017-10-25T15:39:36","indexId":"70192443","displayToPublicDate":"2009-10-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of hypersaline cooling canals on aquifer salinization","docAbstract":"<p><span>The combined effect of salinity and temperature on density-driven convection was evaluated in this study for a large (28&nbsp;km</span><sup>2</sup><span>) cooling canal system (CCS) at a thermoelectric power plant in south Florida, USA. A two-dimensional cross-section model was used to evaluate the effects of hydraulic heterogeneities, cooling canal salinity, heat transport, and cooling canal geometry on aquifer salinization and movement of the freshwater/saltwater interface. Four different hydraulic conductivity configurations, with values ranging over several orders of magnitude, were evaluated with the model. For all of the conditions evaluated, aquifer salinization was initiated by the formation of dense, hypersaline fingers that descended downward to the bottom of the 30-m thick aquifer. Saline fingers reached the aquifer bottom in times ranging from a few days to approximately 5 years for the lowest hydraulic conductivity case. Aquifer salinization continued after saline fingers reached the aquifer bottom and coalesced by lateral movement away from the site. Model results showed that aquifer salinization was most sensitive to aquifer heterogeneity, but was also sensitive to CCS salinity, temperature, and configuration.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0502-7","usgsCitation":"Hughes, J.D., Langevin, C.D., and Brakefield-Goswami, L., 2010, Effect of hypersaline cooling canals on aquifer salinization: Hydrogeology Journal, v. 18, p. 25-38, https://doi.org/10.1007/s10040-009-0502-7.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-010714","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":347401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2009-08-12","publicationStatus":"PW","scienceBaseUri":"59f1a2abe4b0220bbd9d9fdb","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":715853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":715862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brakefield-Goswami, Linzy","contributorId":198373,"corporation":false,"usgs":false,"family":"Brakefield-Goswami","given":"Linzy","email":"","affiliations":[],"preferred":false,"id":715861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156089,"text":"70156089 - 2010 - Spatial and temporal dynamics of lake whitefish (Coregonus clupeaformis) health indicators: linking individual-based indicators to a management-relevant endpoint","interactions":[],"lastModifiedDate":"2022-11-11T19:41:09.776238","indexId":"70156089","displayToPublicDate":"2009-09-24T00:00:00","publicationYear":"2010","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}},"displayTitle":"Spatial and temporal dynamics of lake whitefish (<i>Coregonus clupeaformis</i>) health indicators: linking individual-based indicators to a management-relevant endpoint","title":"Spatial and temporal dynamics of lake whitefish (Coregonus clupeaformis) health indicators: linking individual-based indicators to a management-relevant endpoint","docAbstract":"<p><span>We examined the spatial and temporal dynamics of health indicators in four lake whitefish (</span><i>Coregonus clupeaformis</i><span>) stocks located in northern lakes Michigan and Huron from 2003 to 2006. The specific objectives were to (1) quantify spatial and temporal variability in health indicators; (2) examine relationships among nutritional indicators and stock-specific spatial and temporal dynamics of pathogen prevalence and intensity of infection; and (3) examine relationships between indicators measured on individual fish and stock-specific estimates of natural mortality. The percent of the total variation attributed to spatial and temporal sources varied greatly depending on the health indicator examined. The most notable pattern was a downward trend in the concentration of highly unsaturated fatty acids (HUFAs), observed in all stocks, in the polar lipid fraction of lake whitefish dorsal muscle tissue over the three study years. Variation among stocks and years for some indicators were correlated with the prevalence and intensity of the swimbladder nematode&nbsp;</span><i>Cystidicola farionis</i><span>, suggesting that our measures of fish health were related, at some level, with disease dynamics. We did not find relationships between spatial patterns in fish health indicators and estimates of natural mortality rates for the stocks. Our research highlights the complexity of the interactions between fish nutritional status, disease dynamics, and natural mortality in wild fish populations. Additional research that identifies thresholds of health indicators, below (or above) which survival may be reduced, will greatly help in understanding the relationship between indicators measured on individual fish and potential population-level effects.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2009.07.004","usgsCitation":"Wagner, T., Jones, M., Ebener, M.P., Arts, M.T., Brenden, T.O., Honeyfield, D.C., Wright, G.M., and Faisal, M., 2010, Spatial and temporal dynamics of lake whitefish (Coregonus clupeaformis) health indicators: linking individual-based indicators to a management-relevant endpoint: Journal of Great Lakes Research, v. 36, no. 1, p. 121-134, https://doi.org/10.1016/j.jglr.2009.07.004.","productDescription":"13 p.","startPage":"121","endPage":"134","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010171","costCenters":[{"id":199,"text":"Coop Res Unit 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M.","contributorId":85137,"corporation":false,"usgs":true,"family":"Wright","given":"Gregory","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":568372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Faisal, Mohamed","contributorId":94600,"corporation":false,"usgs":true,"family":"Faisal","given":"Mohamed","email":"","affiliations":[],"preferred":false,"id":568373,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70230291,"text":"70230291 - 2010 - Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia","interactions":[],"lastModifiedDate":"2022-04-06T15:16:31.137286","indexId":"70230291","displayToPublicDate":"2009-09-22T10:09:41","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia","docAbstract":"<p id=\"simple-para.0115\">Chemical weathering of silicate minerals has long been known as a sink for atmospheric CO<sub>2</sub>, and feedbacks between weathering and climate are believed to affect global climate. While warmer temperatures are believed to increase rates of weathering, weathering in cool climates can be accelerated by increased mineral exposure due to mechanical weathering by ice. In this study, chemical weathering of silicate minerals is investigated in a small temperate watershed. The Jamieson Creek watershed is covered by mature coniferous forest and receives high annual precipitation (4000&nbsp;mm), mostly in the form of rainfall, and is underlain by quartz diorite bedrock and glacial till. Analysis of pore water concentration gradients indicates that weathering in hydraulically unsaturated ablation till is dominated by dissolution of plagioclase and hornblende. However, a watershed scale solute mass balance indicates high relative fluxes of K and Ca, indicating preferential leaching of these solutes possibly from the relatively unweathered lodgement till. Weathering rates for plagioclase and hornblende calculated from a watershed scale solute mass balance are similar in magnitude to rates determined using pore water concentration gradients.</p><p id=\"simple-para.0120\">When compared to the Rio Icacos basin in Puerto Rico, a pristine tropical watershed with similar annual precipitation and bedrock, but with dissimilar regolith properties, fluxes of weathering products in stream discharge from the warmer site are 1.8 to 16.2-fold higher, respectively, and regolith profile-averaged plagioclase weathering rates are 3.8 to 9.0-fold higher. This suggests that the Arrhenius effect, which predicts a 3.5- to 9-fold increase in the dissolution rate of plagioclase as temperature is increased from 3.4° to 22&nbsp;°C, may explain the greater weathering fluxes and rates at the Rio Icacos site. However, more modest differences in K and Ca fluxes between the two sites are attributed to accelerated leaching of those solutes from glacial till at Jamieson Creek. Our findings suggest that under conditions of high rainfall and favorable topography, weathering rates of silicate minerals in warm tropical systems will tend to be higher than in cool temperate systems, even if the temperate system is has been perturbed by an episode of glaciation that deposits regolith high in fresh mineral surface area.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.09.005","usgsCitation":"Turner, B.F., White, A.F., and Brantley, S., 2010, Effects of temperature on silicate weathering: Solute fluxes and chemical weathering in a temperate rain forest watershed, Jamieson Creek, British Columbia: Chemical Geology, v. 369, no. 1-2, p. 62-78, https://doi.org/10.1016/j.chemgeo.2009.09.005.","productDescription":"17 p.","startPage":"62","endPage":"78","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":398223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Jamieson Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.09940338134764,\n              49.50269476415281\n            ],\n            [\n              -123.00567626953125,\n              49.50269476415281\n            ],\n            [\n              -123.00567626953125,\n              49.570649710591326\n            ],\n            [\n              -123.09940338134764,\n              49.570649710591326\n            ],\n            [\n              -123.09940338134764,\n              49.50269476415281\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"369","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Turner, Benjamin F.","contributorId":289845,"corporation":false,"usgs":false,"family":"Turner","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":839886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":839887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Susan L.","contributorId":38461,"corporation":false,"usgs":true,"family":"Brantley","given":"Susan L.","affiliations":[],"preferred":false,"id":839888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208549,"text":"70208549 - 2010 - Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States","interactions":[],"lastModifiedDate":"2020-02-20T10:07:26","indexId":"70208549","displayToPublicDate":"2009-09-19T13:25:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States","docAbstract":"<p><span>Since January 2008, the U.S. Department of Interior / U.S. Geological Survey have been providing free terrain-corrected (Level 1T)&nbsp;Landsat&nbsp;Enhanced Thematic Mapper Plus (ETM+) data via the Internet, currently for acquisitions with less than 40% cloud cover. With this rich dataset, temporally composited, mosaics of the conterminous United States (CONUS) were generated on a monthly, seasonal, and annual basis using 6521 ETM+ acquisitions from December 2007 to November 2008. The composited mosaics are designed to provide consistent Landsat data that can be used to derive land cover and geo-physical and bio-physical products for detailed regional assessments of land-cover dynamics and to study Earth system functioning. The data layers in the composited mosaics are defined at 30</span><span>&nbsp;</span><span>m and include&nbsp;top of atmosphere&nbsp;(TOA) reflectance, TOA&nbsp;brightness temperature, TOA&nbsp;normalized difference vegetation index&nbsp;(NDVI), the date each composited pixel was acquired on, per-band radiometric saturation status, cloud mask values, and the number of acquisitions considered in the compositing period. Reduced&nbsp;spatial resolution&nbsp;browse imagery, and top of atmosphere 30</span><span>&nbsp;</span><span>m reflectance time series extracted from the monthly composites, capture the expected land surface phenological change, and illustrate the potential of the composited mosaic data for terrestrial monitoring at&nbsp;high spatial resolution. The composited mosaics are available in 501 tiles of 5000</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>5000 30</span><span>&nbsp;</span><span>m pixels in the Albers equal area projection and are downloadable at&nbsp;</span><a rel=\"noreferrer noopener\" href=\"http://landsat.usgs.gov/WELD.php\" target=\"_blank\" data-mce-href=\"http://landsat.usgs.gov/WELD.php\">http://landsat.usgs.gov/WELD.php</a><span>. The research described in this paper demonstrates the potential of Landsat data processing to provide a consistent, long-term, large-area, data record.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.08.011","usgsCitation":"Roy, D.P., Ju, J., Kline, K.L., Scaramuzza, P.L., Kovalskyy, V., Hansen, M., Loveland, T., Vermote, E., and Zhang, C., 2010, Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States: Remote Sensing of Environment, v. 114, no. 1, p. 35-49, https://doi.org/10.1016/j.rse.2009.08.011.","productDescription":"15 p.","startPage":"35","endPage":"49","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":502478,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External 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L. 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":107504,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"P.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":782391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kovalskyy, Valeriy","contributorId":192062,"corporation":false,"usgs":false,"family":"Kovalskyy","given":"Valeriy","email":"","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":782392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Matt","contributorId":61330,"corporation":false,"usgs":true,"family":"Hansen","given":"Matt","email":"","affiliations":[],"preferred":false,"id":782393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vermote, Eric","contributorId":198856,"corporation":false,"usgs":false,"family":"Vermote","given":"Eric","email":"","affiliations":[],"preferred":false,"id":782395,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zhang, Chunsun","contributorId":222522,"corporation":false,"usgs":false,"family":"Zhang","given":"Chunsun","email":"","affiliations":[],"preferred":false,"id":782396,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":97809,"text":"ofr20091041 - 2010 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002","interactions":[],"lastModifiedDate":"2021-08-23T19:12:15.849431","indexId":"ofr20091041","displayToPublicDate":"2009-09-05T00:00:00","publicationYear":"2010","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":"2009-1041","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002","docAbstract":"Streamflow and water-quality data were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board, Rhode Island's largest drinking-water supplier. Streamflow was measured or estimated by the USGS following standard methods at 23 streamflow-gaging stations; 10 of these stations were also equipped with instrumentation capable of continuously monitoring specific conductance. Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate instantaneous (15-minute) loads of sodium and chloride during water year (WY) 2002 (October 1, 2001 to September 30, 2002). Water-quality samples were also collected at 35 of 37 sampling stations in the Scituate Reservoir drainage area by the Providence Water Supply Board during WY 2002 as part of a long-term sampling program. Water-quality data are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2002.\r\n\r\nThe largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed about 12.6 cubic feet per second (ft3/s) to the reservoir during WY 2002. For the same time period, annual mean streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.14 to 8.1 ft3/s. Together, tributary streams (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 534,000 kilograms (kg) of sodium and 851,000 kg of chloride to the Scituate Reservoir during WY 2002; sodium and chloride yields for the tributaries ranged from 2,900 to 40,200 kilograms per square mile (kg/mi2) and from 4,200 to 68,200 kg/mi2, respectively.\r\n\r\nAt the stations where water-quality samples were collected by the Providence Water Supply Board, the median of the median chloride concentrations was 16.8 milligrams per liter (mg/L), median nitrate concentration was 0.02 mg/L as N, median nitrite concentration was 0.002 mg/L as N, median orthophosphate concentration was 0.03 mg/L as P, and median concentrations of total coliform and Escherichia coli (E. coli) bacteria were 22 and 14 colony forming units per 100 milliliters (CFU/100 mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrate, nitrite, orthophosphate and total coliform and E. coli bacteria were 21 kg/d (12 kg/d/mi2), 0.04 kg/d (0.014 kg/d/mi2), 0.005 kg/d (0.002 kg/d/mi2), 0.08 kg/d (0.035 kg/d/mi2), and 370 million colony forming units per day (CFUx106/d) (120 CFUx106/d/ mi2) and 300 CFUx106/d (75 CFUx106/d/mi2), respectively.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091041","isbn":"9781411325173","collaboration":"Prepared in cooperation with the Providence Water Supply Board and the Rhode Island Department of Environmental Management","usgsCitation":"Breault, R., 2010, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2002: U.S. Geological Survey Open-File Report 2009-1041, v, 26 p., https://doi.org/10.3133/ofr20091041.","productDescription":"v, 26 p.","temporalStart":"2001-10-01","temporalEnd":"2002-09-30","costCenters":[{"id":544,"text":"Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":126289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1041.jpg"},{"id":12980,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1041/","linkFileType":{"id":5,"text":"html"}},{"id":388260,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87194.htm"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir drainage area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.83333333333333,41.7 ], [ -71.83333333333333,41.916666666666664 ], [ -71.53333333333333,41.916666666666664 ], [ -71.53333333333333,41.7 ], [ -71.83333333333333,41.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4d7e","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303224,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230292,"text":"70230292 - 2010 - Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA","interactions":[],"lastModifiedDate":"2022-04-06T15:25:58.70318","indexId":"70230292","displayToPublicDate":"2009-08-18T10:17:57","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA","docAbstract":"<p><span>Mercury concentrations in largemouth bass and mercury accumulation rates in age-dated sediment cores were examined at Lake Ozette and Lake Dickey in Washington State. Goals of the study were to compare concentrations in fish tissues at the two lakes with a larger statewide dataset and examine mercury pathways to the lakes. After accounting for fish length, tissue concentrations at the lakes were significantly higher than other Washington State lakes. Wet deposition and historical atmospheric monitoring from the area show no indication of enhanced local or regional deposition. Sediment core records from the lakes indicate rising sedimentation rates coinciding with logging in the lakes’ drainages has greatly increased the net flux of mercury to the waterbodies.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11270-009-0165-y","usgsCitation":"Van Furl, C., Colman, J.A., and Bothner, M., 2010, Mercury sources to Lake Ozette and Lake Dickey: Highly contaminated remote coastal lakes, Washington State, USA: Water, Air, & Soil Pollution, v. 208, p. 275-286, https://doi.org/10.1007/s11270-009-0165-y.","productDescription":"12 p.","startPage":"275","endPage":"286","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3848","text":"External Repository"},{"id":398224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Dickey, Lake Ozette","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.51698303222658,\n              48.09619676148215\n            ],\n            [\n              -124.49501037597655,\n              48.09619676148215\n            ],\n            [\n              -124.49501037597655,\n              48.12553866602599\n            ],\n            [\n              -124.51698303222658,\n              48.12553866602599\n            ],\n            [\n              -124.51698303222658,\n              48.09619676148215\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.67868804931639,\n              48.032871264684964\n            ],\n            [\n              -124.58667755126955,\n              48.032871264684964\n            ],\n            [\n              -124.58667755126955,\n              48.15486381795689\n            ],\n            [\n              -124.67868804931639,\n              48.15486381795689\n            ],\n            [\n              -124.67868804931639,\n              48.032871264684964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2009-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Furl, Chad","contributorId":289846,"corporation":false,"usgs":false,"family":"Van Furl","given":"Chad","email":"","affiliations":[],"preferred":false,"id":839889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":839891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227338,"text":"70227338 - 2010 - Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico","interactions":[],"lastModifiedDate":"2022-01-10T16:30:47.160782","indexId":"70227338","displayToPublicDate":"2009-08-12T10:17:53","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico","docAbstract":"<p id=\"simple-para.0045\">Rapid weathering and erosion rates in mountainous tropical watersheds lead to highly variable soil and saprolite thicknesses which in turn impact nutrient fluxes and biological populations. In the Luquillo Mountains of Puerto Rico, a 5-m thick saprolite contains high microorganism densities at the surface and at depth overlying bedrock. We test the hypotheses that the organisms at depth are limited by the availability of two nutrients, P and Fe. Many tropical soils are P-limited, rather than N-limited, and dissolution of apatite is the dominant source of P. We document patterns of apatite weathering and of bioavailable Fe derived from the weathering of primary minerals hornblende and biotite in cores augered to 7.5&nbsp;m on a ridgetop as compared to spheroidally weathering bedrock sampled in a nearby roadcut.</p><p id=\"simple-para.0050\">Iron isotopic compositions of 0.5 N HCl extracts of soil and saprolite range from about δ<sup>56</sup>Fe&nbsp;=&nbsp;0 to −&nbsp;0.1‰ throughout the saprolite except at the surface and at 5&nbsp;m depth where δ<sup>56</sup>Fe&nbsp;=&nbsp;−&nbsp;0.26 to −&nbsp;0.64‰. The enrichment of light isotopes in HCl-extractable Fe in the soil and at the saprolite–bedrock interface is consistent with active Fe cycling and consistent with the locations of high cell densities and Fe(II)-oxidizing bacteria, identified previously. To evaluate the potential P-limitation of Fe-cycling bacteria in the profile, solid-state concentrations of P were measured as a function of depth in the soil, saprolite, and weathering bedrock. Weathering apatite crystals were examined in thin sections and an apatite dissolution rate of 6.8&nbsp;×&nbsp;10<sup>−&nbsp;14</sup>&nbsp;mol m<sup>−&nbsp;2</sup><span>&nbsp;</span>s<sup>−&nbsp;1</sup><span>&nbsp;</span>was calculated. While surface communities depend on recycled nutrients and atmospheric inputs, deep communities survive primarily on nutrients released by the weathering bedrock and thus are tightly coupled to processes related to saprolite formation including mineral weathering. While low available P may limit microbial activity within the middle saprolite, fluxes of P from apatite weathering should be sufficient to support robust growth of microorganisms in the deep saprolite.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.08.001","usgsCitation":"Buss, H.L., Mathur, R., White, A.F., and Brantley, S., 2010, Phosphorus and iron cycling in deep saprolite, Luquillo Mountains, Puerto Rico: Chemical Geology, v. 269, no. 1-2, p. 52-61, https://doi.org/10.1016/j.chemgeo.2009.08.001.","productDescription":"10 p.","startPage":"52","endPage":"61","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":475958,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/f5de81fa-713b-474b-a158-6a3bde805d56","text":"External Repository"},{"id":394109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.79952239990234,\n              18.267907446642408\n            ],\n            [\n              -65.76939582824707,\n              18.267907446642408\n            ],\n            [\n              -65.76939582824707,\n              18.301158268874033\n            ],\n            [\n              -65.79952239990234,\n              18.301158268874033\n            ],\n            [\n              -65.79952239990234,\n              18.267907446642408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buss, Heather L. 0000-0002-1852-3657","orcid":"https://orcid.org/0000-0002-1852-3657","contributorId":15478,"corporation":false,"usgs":true,"family":"Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":830513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mathur, R.","contributorId":75740,"corporation":false,"usgs":true,"family":"Mathur","given":"R.","email":"","affiliations":[],"preferred":false,"id":830514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":830515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brantley, Susan L.","contributorId":38461,"corporation":false,"usgs":true,"family":"Brantley","given":"Susan L.","affiliations":[],"preferred":false,"id":830516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208552,"text":"70208552 - 2010 - Addressing foundational elements of regional land-use change forecasting","interactions":[],"lastModifiedDate":"2022-09-08T17:22:22.467504","indexId":"70208552","displayToPublicDate":"2009-08-06T14:26:37","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Addressing foundational elements of regional land-use change forecasting","docAbstract":"<p><span>Regional land-use models must address several foundational elements, including understanding geographic setting, establishing regional land-use histories, modeling process and representing drivers of change, representing local land-use patterns, managing issues of scale and complexity, and development of scenarios. Key difficulties include managing an array of biophysical and socioeconomic processes across multiple spatial and temporal scales, and acquiring and utilizing empirical data to support the analysis of those processes. The Southeastern and Pacific Northwest regions of the United States, two heavily forested regions with significant forest industries, are examined in the context of these foundational elements. Geographic setting fundamentally affects both the primary land cover (forest) in the two regions, and the structure and form of land use (forestry). Land-use histories of the regions can be used to parameterize land-use models, validate model performance, and explore land-use scenarios. Drivers of change in the two regions are many and varied, with issues of scale and complexity posing significant challenges. Careful scenario development can be used to simplify process-based land-use models, and can improve our ability to address specific research questions. The successful modeling of land-use change in these two areas requires integration of both top-down and bottom-up drivers of change, using scenario frameworks to both guide and simplify the modeling process. Modular approaches, with utilization and integration of existing process models, allow regional land-use modelers the opportunity to better represent primary drivers of land-use change. However, availability of data to represent driving forces remains a primary obstacle.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-009-9391-3","usgsCitation":"Sohl, T.L., Loveland, T., Sleeter, B.M., Sayler, K., and Barnes, C., 2010, Addressing foundational elements of regional land-use change forecasting: Landscape Ecology, v. 25, no. 2, p. 233-247, https://doi.org/10.1007/s10980-009-9391-3.","productDescription":"15 p.","startPage":"233","endPage":"247","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              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       31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              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[\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":851239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":782444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":782446,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208554,"text":"70208554 - 2010 - Effects of vegetation restoration and slope positions on soil aggregation and soil carbon accumulation on heavily eroded tropical land of Southern China","interactions":[],"lastModifiedDate":"2020-02-20T10:08:20","indexId":"70208554","displayToPublicDate":"2009-07-24T14:49:49","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Effects of vegetation restoration and slope positions on soil aggregation and soil carbon accumulation on heavily eroded tropical land of Southern China","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Background aim and scope</h3><p class=\"Para\">Soil organic carbon (SOC) accumulation is strongly affected by soil erosion and deposition that differ at slope positions of a watershed. However, studies on the effects of topography on soil aggregation and SOC dynamics, especially after the implementation of vegetation restoration, are rare. Poorly understood mechanisms and a lack of quantification for the suite of ecological benefits brought by the impacts of topography after planting further obstructed our understanding of terrestrial ecosystem carbon (C) sequestration. The purposes of this study are to (1) quantify the impacts of vegetation restoration on size and stability of soil aggregates and the sequestration of C in soil and (2) to address the impacts of various slope locations on aggregates and SOC distribution.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Materials and methods</h3><p class=\"Para\">The experimental sites were set up in 1959 on a highly disturbed barren land in a tropical and coastal area of Guangdong province in South China. One site received human-induced vegetation restoration (the restored site), while the other received no planting and has remained as barren land (the barren site). The soil in the study sites was a latosol developed from granite. Soil samples were taken from 0 to 20 and 20 to 40&nbsp;cm soil layer at shoulder and toe slope positions at both sites for comparisons. Soils were analyzed for proportion of soil macroaggregates (&gt;0.25&nbsp;mm), the SOC in soil layers, and the aggregate soil organic carbon (AOC) at different aggregate sizes.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Results and discussion</h3><p class=\"Para\">Measurements in 2007 showed that fractions of water stable macroaggregates in 0–40&nbsp;cm at shoulder and toe slope ranged from 28% to 45%, about one third to one half of those of dry macroaggregates (91–95%) at the restored site. Soil macroaggregates were not detected at barren site in 2007. Average SOC storage in 0–40&nbsp;cm soil layer of shoulder and toe slope positions at the restored site was 56.5 ± 10.9&nbsp;Mg C ha<sup>−1</sup>, about 2.4 times of that (23.4 ± 4.6&nbsp;Mg C ha<sup>−1</sup>) at barren site in 2007. Since 1959, the soil aggregation and SOC storage are significantly improved at the restored site; opposite to that, soil physical and chemical quality has remained low on the barren land without planting. SOC storage in 0–40&nbsp;cm at toe slope was 15.9 ± 1.8&nbsp;Mg C ha<sup>−1</sup>, which is only half of that (30.9 ± 9&nbsp;Mg C ha<sup>−1</sup>) at shoulder slope of the barren site; this is opposite to the pattern found at restored site. The ratios of AOC in 0–20&nbsp;cm to AOC in 20–40&nbsp;cm at toe slope were lower than those at shoulder slope of the restored site. The comparison of organic carbon sequestered in soils at different slope positions suggest that soil aggregates played a role in sequestering C based upon landscape positions and soil profile depth as a consequence of soil erosion and deposition.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p class=\"Para\">Results indicate that vegetation restoration and SOC accumulation significantly enhance soil aggregation, which in turn promotes further organic C accumulation in the aggregates via physical protection. Soil aggregation and soil C accumulation differed between slope positions. Soil aggregation was significantly enhanced in 0–20&nbsp;cm layer and aggregates absorb C into deep layers in depositional environment (toe slope) under protection from human disturbances. The interactions of erosion–deposition, soil aggregates, and vegetation restoration play important roles on SOC accumulation and redistribution on land.</p></div><div id=\"ASec5\" class=\"AbstractSection\"><h3 class=\"Heading\">Recommendations and perspectives</h3><p class=\"Para\">The positive feedback between SOC and soil aggregates should be evaluated for improving the quantification of the impacts of land use change, erosion, and deposition on the dynamics of SOC and soil structure under the global climate change.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s11368-009-0122-9","usgsCitation":"Tang, X., Liu, S., Liu, J., and Zhou, G., 2010, Effects of vegetation restoration and slope positions on soil aggregation and soil carbon accumulation on heavily eroded tropical land of Southern China: Journal of Soils and Sediments, v. 10, no. 3, p. 505-513, https://doi.org/10.1007/s11368-009-0122-9.","productDescription":"9 p.","startPage":"505","endPage":"513","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Guandong Province","otherGeospatial":"Xiaoliang Research Station for Restoration of Tropical Coastal Degraded Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              110.89050292968749,\n              21.423668314313243\n            ],\n            [\n              111.00173950195312,\n              21.423668314313243\n            ],\n            [\n              111.00173950195312,\n              21.49268577034704\n            ],\n            [\n              110.89050292968749,\n              21.49268577034704\n            ],\n            [\n              110.89050292968749,\n              21.423668314313243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Xinyi","contributorId":199386,"corporation":false,"usgs":false,"family":"Tang","given":"Xinyi","email":"","affiliations":[],"preferred":false,"id":782451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Juxiu","contributorId":43653,"corporation":false,"usgs":true,"family":"Liu","given":"Juxiu","email":"","affiliations":[],"preferred":false,"id":782453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Guoyi","contributorId":199385,"corporation":false,"usgs":false,"family":"Zhou","given":"Guoyi","affiliations":[],"preferred":false,"id":782454,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230195,"text":"70230195 - 2010 - The Lunar Reconnaissance Orbiter Diviner Lunar Radiometer Experiment","interactions":[],"lastModifiedDate":"2022-04-04T16:21:21.47102","indexId":"70230195","displayToPublicDate":"2009-06-29T11:03:22","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Lunar Reconnaissance Orbiter Diviner Lunar Radiometer Experiment","docAbstract":"<p><span>The Diviner Lunar Radiometer Experiment on NASA’s Lunar Reconnaissance Orbiter will be the first instrument to systematically map the global thermal state of the Moon and its diurnal and seasonal variability. Diviner will measure reflected solar and emitted infrared radiation in nine spectral channels with wavelengths ranging from 0.3 to 400 microns. The resulting measurements will enable characterization of the lunar thermal environment, mapping surface properties such as thermal inertia, rock abundance and silicate mineralogy, and determination of the locations and temperatures of volatile cold traps in the lunar polar regions.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11214-009-9529-2","usgsCitation":"Paige, D.A., Foote, M.C., Greenhagen, B.T., Schofield, J.T., Calcutt, S., Vasavada, A.R., Preston, D.J., Taylor, F.W., Allen, C.C., Snook, K., Jakosky, B., Murray, B.C., Soderblom, L.A., Jau, B., Loring, S., Bulharowski, J., Bowles, N.E., Thomas, I.R., Sullivan, M.T., Avis, C., De Jong, E.M., Hartford, W., and McCleese, D.J., 2010, The Lunar Reconnaissance Orbiter Diviner Lunar Radiometer Experiment: Space Science Reviews, v. 150, p. 125-160, https://doi.org/10.1007/s11214-009-9529-2.","productDescription":"36 p.","startPage":"125","endPage":"160","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-009-9529-2","text":"Publisher Index Page"},{"id":398015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"150","noUsgsAuthors":false,"publicationDate":"2009-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Paige, D. A.","contributorId":7881,"corporation":false,"usgs":false,"family":"Paige","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":839461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foote, M. C.","contributorId":6306,"corporation":false,"usgs":false,"family":"Foote","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":839462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenhagen, B. T.","contributorId":15447,"corporation":false,"usgs":false,"family":"Greenhagen","given":"B.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":839463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schofield, J. T.","contributorId":26099,"corporation":false,"usgs":false,"family":"Schofield","given":"J.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":839464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calcutt, S.","contributorId":50022,"corporation":false,"usgs":false,"family":"Calcutt","given":"S.","affiliations":[],"preferred":false,"id":839465,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasavada, A. R.","contributorId":172667,"corporation":false,"usgs":false,"family":"Vasavada","given":"A.","email":"","middleInitial":"R.","affiliations":[{"id":27074,"text":"Caltech JPL","active":true,"usgs":false}],"preferred":false,"id":839466,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Preston, D. J.","contributorId":22759,"corporation":false,"usgs":false,"family":"Preston","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839467,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Taylor, F. W.","contributorId":57598,"corporation":false,"usgs":false,"family":"Taylor","given":"F.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":839468,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allen, C. C.","contributorId":74181,"corporation":false,"usgs":false,"family":"Allen","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":839469,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Snook, K.","contributorId":49632,"corporation":false,"usgs":false,"family":"Snook","given":"K.","email":"","affiliations":[],"preferred":false,"id":839470,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jakosky, B. M.","contributorId":103003,"corporation":false,"usgs":false,"family":"Jakosky","given":"B. M.","affiliations":[],"preferred":false,"id":839471,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murray, B. C.","contributorId":49870,"corporation":false,"usgs":false,"family":"Murray","given":"B.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":839472,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":839473,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jau, B.","contributorId":289609,"corporation":false,"usgs":false,"family":"Jau","given":"B.","email":"","affiliations":[],"preferred":false,"id":839474,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Loring, S.","contributorId":289610,"corporation":false,"usgs":false,"family":"Loring","given":"S.","email":"","affiliations":[],"preferred":false,"id":839475,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bulharowski, J.","contributorId":289612,"corporation":false,"usgs":false,"family":"Bulharowski","given":"J.","email":"","affiliations":[],"preferred":false,"id":839476,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Bowles, N. E.","contributorId":65313,"corporation":false,"usgs":false,"family":"Bowles","given":"N.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":839477,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Thomas, I. R.","contributorId":289613,"corporation":false,"usgs":false,"family":"Thomas","given":"I.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":839478,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Sullivan, M. T.","contributorId":289614,"corporation":false,"usgs":false,"family":"Sullivan","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":839479,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Avis, C.","contributorId":289615,"corporation":false,"usgs":false,"family":"Avis","given":"C.","email":"","affiliations":[],"preferred":false,"id":839480,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"De Jong, E. M.","contributorId":289616,"corporation":false,"usgs":false,"family":"De Jong","given":"E.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":839481,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Hartford, W.","contributorId":73047,"corporation":false,"usgs":true,"family":"Hartford","given":"W.","email":"","affiliations":[],"preferred":false,"id":839482,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McCleese, D. J.","contributorId":97679,"corporation":false,"usgs":false,"family":"McCleese","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839483,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70118928,"text":"70118928 - 2010 - Field evaluation of a two-dimensional hydrodynamic model near boulders for habitat calculation","interactions":[],"lastModifiedDate":"2017-01-11T16:08:27","indexId":"70118928","displayToPublicDate":"2009-06-24T11:24:35","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Field evaluation of a two-dimensional hydrodynamic model near boulders for habitat calculation","docAbstract":"Two-dimensional hydrodynamic models are now widely used in aquatic habitat studies.  To test the sensitivity of calculated habitat outcomes to limitations of such a model and of typical field data, bathmetry, depth and velocity data were collected for three discharges in the vicinity of two large boulders in the South Platte River (Colorado) and used in the River2D model.  Simulated depth and velocity were compared with observed values at 204 locations and the differences in habitat numbers produced by observed and simulated conditions were calculated.  The bulk of the differences between simulated and observed depth and velocity values were found to lie within the likely error of measurement.  However, the effect of flow simulation outliers on potential habitat outcomes must be considered when using 2D models for habitat simulation.  Furthermore, the shape of the habitat suitability relation can influence the effects of simulation errors.  Habitat relations with steep slopes in the velocity ranges found in similar study areas are expected to be sensitive to the magnitude of error found here.  Comparison of habitat values derived from simulated and observed depth and velocity revealed a small tendency to under-predict habitat values.","language":"English","publisher":"Wiley","doi":"10.1002/rra.1278","usgsCitation":"Waddle, T., 2010, Field evaluation of a two-dimensional hydrodynamic model near boulders for habitat calculation: River Research and Applications, v. 26, no. 6, p. 730-741, https://doi.org/10.1002/rra.1278.","productDescription":"12 p.","startPage":"730","endPage":"741","numberOfPages":"12","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":475960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.1278","text":"Publisher Index Page"},{"id":291486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-06-24","publicationStatus":"PW","scienceBaseUri":"53db5843e4b0fba533fa357a","contributors":{"authors":[{"text":"Waddle, Terry","contributorId":47848,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","affiliations":[],"preferred":false,"id":497511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}