Terrestrial laser scanning (TLS) has been shown to enable an efficient, precise, and non-destructive inventory of vegetation structure at ranges up to hundreds of meters. We developed a method that leverages TLS collections with machine learning techniques to model and map canopy cover and biomass of several classes of short-stature vegetation across large plots. We collected high-definition TLS scans of 26 1-ha plots in desert grasslands and big sagebrush shrublands in southwest Idaho, USA. We used the Random Forests machine learning algorithm to develop decision tree models predicting the biomass and canopy cover of several vegetation classes from statistical descriptors of the aboveground heights of TLS points. Manual measurements of vegetation characteristics collected within each plot served as training and validation data. Models based on five or fewer TLS descriptors of vegetation heights were developed to predict the canopy cover fraction of shrubs (R2 = 0.77, RMSE = 7%), annual grasses (R2 = 0.70, RMSE = 21%), perennial grasses (R2 = 0.36, RMSE = 12%), forbs (R2 = 0.52, RMSE = 6%), bare earth or litter (R2 = 0.49, RMSE = 19%), and the biomass of shrubs (R2 = 0.71, RMSE = 175 g) and herbaceous vegetation (R2 = 0.61, RMSE = 99 g) (all values reported are out-of-bag). Our models explained much of the variability between predictions and manual measurements, and yet we expect that future applications could produce even better results by reducing some of the methodological sources of error that we encountered. Our work demonstrates how TLS can be used efficiently to extend manual measurement of vegetation characteristics from small to large plots in grasslands and shrublands, with potential application to other similarly structured ecosystems. Our method shows that vegetation structural characteristics can be modeled without classifying and delineating individual plants, a challenging and time-consuming step common in previous methods applying TLS to vegetation inventory. Improving application of TLS to studies of shrub-steppe ecosystems will serve immediate management needs by enhancing vegetation inventories, environmental modeling studies, and the ability to train broader datasets collected from air and space.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.09.034","usgsCitation":"Anderson, K.E., Glenn, N.F., Spaete, L.P., Shinneman, D.J., Pilliod, D.S., Arkle, R., McIlroy, S., and Derryberry, D.R., 2018, Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning: Ecological Indicators, v. 84, p. 793-802, https://doi.org/10.1016/j.ecolind.2017.09.034.","productDescription":"10 p.","startPage":"793","endPage":"802","ipdsId":"IP-066377","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.09.034","text":"Publisher Index Page"},{"id":347311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.65557861328124,\n 43.24520272203356\n ],\n [\n -116.63635253906249,\n 43.19516498456403\n ],\n [\n -116.46331787109375,\n 43.04480541304369\n ],\n [\n -116.24359130859375,\n 42.96245265666877\n ],\n [\n -115.79315185546875,\n 42.79540065303723\n ],\n [\n -115.68603515624999,\n 42.78532283730215\n ],\n [\n -115.543212890625,\n 42.85180609584705\n ],\n [\n -115.40863037109374,\n 42.95039177450287\n ],\n [\n -115.42236328124999,\n 43.01669737169671\n ],\n [\n -115.48004150390625,\n 43.08694333811321\n ],\n [\n -115.61737060546875,\n 43.203173782105814\n ],\n [\n -115.78491210937501,\n 43.22319117678928\n ],\n [\n -115.9771728515625,\n 43.43497155337347\n ],\n [\n -116.1199951171875,\n 43.51469675271006\n ],\n [\n -116.26556396484374,\n 43.55651037504758\n ],\n [\n -116.34521484375001,\n 43.51668853502906\n ],\n [\n -116.488037109375,\n 43.48680489735277\n ],\n [\n -116.55670166015625,\n 43.41901389224468\n ],\n [\n -116.61163330078126,\n 43.33117156319044\n ],\n [\n -116.65557861328124,\n 43.24520272203356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a294e4b0220bbd9d9eab","contributors":{"authors":[{"text":"Anderson, Kyle E.","contributorId":198237,"corporation":false,"usgs":false,"family":"Anderson","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Nancy F.","contributorId":195241,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":715450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spaete, Lucas P.","contributorId":198238,"corporation":false,"usgs":false,"family":"Spaete","given":"Lucas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":715445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":715446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":715443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arkle, Robert 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149893,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":715447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":715448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Derryberry, DeWayne R.","contributorId":198239,"corporation":false,"usgs":false,"family":"Derryberry","given":"DeWayne","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188643,"text":"tm7C16 - 2018 - Overview of a comprehensive resource database for the assessment of recoverable hydrocarbons produced by carbon dioxide enhanced oil recovery","interactions":[],"lastModifiedDate":"2022-04-26T19:09:23.347144","indexId":"tm7C16","displayToPublicDate":"2017-10-24T10:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C16","title":"Overview of a comprehensive resource database for the assessment of recoverable hydrocarbons produced by carbon dioxide enhanced oil recovery","docAbstract":"A database called the “Comprehensive Resource Database” (CRD) was prepared to support U.S. Geological Survey (USGS) assessments of technically recoverable hydrocarbons that might result from the injection of miscible or immiscible carbon dioxide (CO2) for enhanced oil recovery (EOR). The CRD was designed by INTEK Inc., a consulting company under contract to the USGS. The CRD contains data on the location, key petrophysical properties, production, and well counts (number of wells) for the major oil and gas reservoirs in onshore areas and State waters of the conterminous United States and Alaska. The CRD includes proprietary data on petrophysical properties of fields and reservoirs from the “Significant Oil and Gas Fields of the United States Database,” prepared by Nehring Associates in 2012, and proprietary production and drilling data from the “Petroleum Information Data Model Relational U.S. Well Data,” prepared by IHS Inc. in 2012. This report describes the CRD and the computer algorithms used to (1) estimate missing reservoir property values in the Nehring Associates (2012) database, and to (2) generate values of additional properties used to characterize reservoirs suitable for miscible or immiscible CO2 flooding for EOR. Because of the proprietary nature of the data and contractual obligations, the CRD and actual data from Nehring Associates (2012) and IHS Inc. (2012) cannot be presented in this report.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Computer programs in Book 7: Automated data processing and computations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C16","usgsCitation":"Carolus, Marshall, Biglarbigi, Khosrow, Warwick, P.D., Attanasi, E.D., Freeman, P.A., and Lohr, C.D., 2018, Overview of a comprehensive resource database for the assessment of recoverable hydrocarbons produced by carbon dioxide enhanced oil recovery (ver. 1.1 June 2018): U.S. Geological Survey Techniques and Methods, book 7, chap. C16, 31 p., https://doi.org/10.3133/tm7C16.","productDescription":"ix, 31 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067393","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":399697,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_106390.htm"},{"id":354907,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/07/c16/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":347120,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c16/tm7c16.pdf","text":"Report","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 7-C16"},{"id":347119,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c16/coverthb2.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 18.020527657852337\n ],\n [\n -66.2255859375,\n 17.916022703877665\n ],\n [\n -65.6103515625,\n 17.97873309555617\n ],\n [\n -65.2587890625,\n 18.124970639386515\n ],\n [\n -65.5224609375,\n 18.458768120015126\n ],\n [\n -66.11572265625,\n 18.542116654448996\n ],\n [\n -66.95068359374999,\n 18.60460138845525\n ],\n [\n -67.34619140625,\n 18.542116654448996\n ],\n [\n -67.2802734375,\n 17.99963161491187\n ],\n [\n -67.060546875,\n 18.020527657852337\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: June 2018; Version 1.0: October 2017","publicComments":"This report is Chapter 16 of Section C: Computer programs in Book 7: Automated data processing and computations.","contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
Mail Stop 956
12201 Sunrise Valley Drive
Reston, VA 20192
https://energy.usgs.gov/
Identifying areas where deteriorating sewer infrastructure is in close proximity to surface waterways is needed to map likely connections between sewers and streams. We present a method to estimate sewer installation year and deterioration status using historical maps of the sewer network, parcel-scale property assessment data, and pipe material. Areas where streams were likely buried into the sewer system were mapped by intersecting the historical stream network derived from a 10-m resolution digital elevation model with sewer pipe locations. Potential sewer leakage hotspots were mapped by identifying where aging sewer pipes are in close proximity (50-m) to surface waterways. Results from Pittsburgh, Pennsylvania (USA), indicated 41% of the historical stream length was lost or buried and the potential interface between sewers and streams is great. The co-location of aging sewer infrastructure (>75 years old) near stream channels suggests that 42% of existing streams are located in areas with a high potential for sewer leakage if sewer infrastructure fails. Mapping the sewer-stream interface provides an approach to better understand areas were failing sewers may contribute a disproportional amount of nutrients and other pathogens to surface waterways.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2017.04.011","usgsCitation":"Hopkins, K.G., and Bain, D., 2018, Research note: Mapping spatial patterns in sewer age, material, and proximity to surface waterways to infer sewer leakage hotspots: Landscape and Urban Planning, v. 170, p. 320-324, https://doi.org/10.1016/j.landurbplan.2017.04.011.","productDescription":"5 p.","startPage":"320","endPage":"324","ipdsId":"IP-077253","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2017.04.011","text":"Publisher Index Page"},{"id":347268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":" Allegheny County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.1496,40.6758],[-80.1059,40.6754],[-80.058,40.6755],[-79.9931,40.674],[-79.9901,40.675],[-79.9858,40.6742],[-79.964,40.6728],[-79.9149,40.6737],[-79.9021,40.6731],[-79.8797,40.6726],[-79.8652,40.6728],[-79.8512,40.6726],[-79.8427,40.6724],[-79.8293,40.6712],[-79.8136,40.6724],[-79.8003,40.6722],[-79.7978,40.6723],[-79.7499,40.6699],[-79.7238,40.6691],[-79.708,40.6684],[-79.6995,40.6686],[-79.6929,40.6696],[-79.6929,40.6687],[-79.6935,40.6682],[-79.6946,40.6668],[-79.6957,40.6632],[-79.6957,40.6618],[-79.6944,40.6591],[-79.6931,40.6569],[-79.6925,40.656],[-79.6912,40.6537],[-79.6905,40.6524],[-79.6899,40.6501],[-79.6892,40.6488],[-79.6891,40.6451],[-79.6897,40.6438],[-79.6908,40.6406],[-79.6919,40.6378],[-79.6925,40.6374],[-79.696,40.6337],[-79.6966,40.6328],[-79.6972,40.6319],[-79.6978,40.6309],[-79.6995,40.6291],[-79.7061,40.6254],[-79.709,40.6235],[-79.7114,40.6221],[-79.7132,40.6202],[-79.7149,40.6175],[-79.7155,40.6166],[-79.7166,40.6147],[-79.7178,40.6129],[-79.7237,40.6073],[-79.732,40.6036],[-79.7332,40.6031],[-79.7344,40.6026],[-79.7356,40.6021],[-79.7368,40.6017],[-79.7458,40.5997],[-79.7476,40.5992],[-79.75,40.5987],[-79.7512,40.5982],[-79.7614,40.5944],[-79.7638,40.593],[-79.7644,40.5926],[-79.7656,40.5916],[-79.7662,40.5912],[-79.7708,40.5861],[-79.7714,40.5852],[-79.7725,40.5824],[-79.7731,40.5806],[-79.7737,40.5793],[-79.7736,40.5783],[-79.7741,40.5751],[-79.774,40.5702],[-79.7739,40.5693],[-79.7732,40.567],[-79.7726,40.5652],[-79.77,40.5603],[-79.7687,40.558],[-79.7648,40.5499],[-79.7607,40.5513],[-79.7522,40.5515],[-79.7413,40.5503],[-79.7406,40.5503],[-79.7376,40.5495],[-79.7352,40.5486],[-79.7345,40.5482],[-79.7302,40.546],[-79.7216,40.5411],[-79.7067,40.5296],[-79.7061,40.5287],[-79.7055,40.5278],[-79.7046,40.5201],[-79.7022,40.5002],[-79.7021,40.4789],[-79.7029,40.4653],[-79.7041,40.4439],[-79.7041,40.4262],[-79.7183,40.4156],[-79.7273,40.4131],[-79.7314,40.4103],[-79.7325,40.4058],[-79.7372,40.4002],[-79.7389,40.397],[-79.7437,40.3965],[-79.7455,40.3956],[-79.7495,40.391],[-79.7543,40.3886],[-79.7598,40.3903],[-79.7628,40.3912],[-79.7628,40.3889],[-79.765,40.3848],[-79.7662,40.3829],[-79.7704,40.3824],[-79.7744,40.3578],[-79.7856,40.31],[-79.7871,40.3009],[-79.7876,40.2977],[-79.7858,40.2969],[-79.7852,40.2964],[-79.7765,40.2898],[-79.7759,40.2889],[-79.7752,40.2871],[-79.7752,40.2862],[-79.7763,40.2848],[-79.7775,40.2839],[-79.7781,40.2834],[-79.7787,40.2829],[-79.7799,40.2825],[-79.7811,40.282],[-79.7823,40.282],[-79.7889,40.2823],[-79.7919,40.2822],[-79.7925,40.2822],[-79.7943,40.2817],[-79.7966,40.279],[-79.7966,40.2772],[-79.7965,40.2758],[-79.7927,40.2695],[-79.7902,40.2668],[-79.7896,40.2659],[-79.7884,40.2646],[-79.7883,40.2619],[-79.7888,40.2601],[-79.7894,40.2596],[-79.7917,40.2578],[-79.7923,40.2573],[-79.7987,40.2477],[-79.8009,40.244],[-79.8068,40.2384],[-79.8054,40.233],[-79.7993,40.2304],[-79.7848,40.2284],[-79.7991,40.2227],[-79.8187,40.216],[-79.8402,40.2083],[-79.864,40.1997],[-79.8711,40.1973],[-79.8765,40.1972],[-79.8867,40.1961],[-79.8903,40.196],[-79.8951,40.1955],[-79.9091,40.1984],[-79.9164,40.201],[-79.9201,40.2032],[-79.9359,40.2088],[-79.9414,40.21],[-79.9585,40.2165],[-79.9646,40.2205],[-79.9678,40.2249],[-79.9709,40.229],[-79.9704,40.2317],[-79.9699,40.2344],[-79.9617,40.2396],[-79.9521,40.2411],[-79.9455,40.2417],[-79.9335,40.2438],[-79.9269,40.2453],[-79.924,40.2476],[-79.9157,40.2532],[-79.9377,40.2605],[-79.9706,40.2703],[-79.9992,40.2788],[-80.0339,40.2894],[-80.0406,40.2911],[-80.0736,40.3018],[-80.0802,40.303],[-80.0985,40.3085],[-80.1815,40.3344],[-80.1965,40.3464],[-80.2295,40.3733],[-80.2469,40.387],[-80.2769,40.4131],[-80.315,40.4445],[-80.3587,40.4798],[-80.3417,40.4929],[-80.3323,40.4999],[-80.2976,40.5252],[-80.2811,40.5365],[-80.2682,40.5454],[-80.2576,40.5529],[-80.2505,40.558],[-80.234,40.5692],[-80.2287,40.573],[-80.2264,40.5758],[-80.2205,40.5818],[-80.2176,40.5837],[-80.2152,40.5837],[-80.211,40.5847],[-80.2104,40.5856],[-80.2093,40.5879],[-80.2057,40.5907],[-80.201,40.594],[-80.1963,40.5968],[-80.1909,40.5997],[-80.1886,40.6011],[-80.1856,40.603],[-80.1839,40.6066],[-80.1822,40.6089],[-80.1786,40.6104],[-80.1738,40.61],[-80.1659,40.6093],[-80.1641,40.6097],[-80.1635,40.6107],[-80.1605,40.6116],[-80.1545,40.6122],[-80.1527,40.6136],[-80.1503,40.6146],[-80.1461,40.616],[-80.1486,40.6496],[-80.1494,40.6704],[-80.1496,40.6758]]]},\"properties\":{\"name\":\"Allegheny\",\"state\":\"PA\"}}]}","volume":"170","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f0511fe4b0220bbd9a1d6c","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bain, Daniel J.","contributorId":29276,"corporation":false,"usgs":true,"family":"Bain","given":"Daniel J.","affiliations":[],"preferred":false,"id":713959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192227,"text":"70192227 - 2018 - Coherence between coastal and river flooding along the California coast","interactions":[],"lastModifiedDate":"2018-03-12T13:23:26","indexId":"70192227","displayToPublicDate":"2017-10-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coherence between coastal and river flooding along the California coast","docAbstract":"Water levels around river mouths are intrinsically determined by sea level and river discharge. If storm-associated coastal water-level anomalies coincide with extreme river discharge, landscapes near river mouths will be flooded by the hydrodynamic interactions of these two water masses. Unfortunately, the temporal relationships between ocean and river water masses are not well understood. The coherence between extreme river discharge and coastal water levels at six California river mouths across different climatic and geographic regions was examined. Data from river gauges, wave buoys, and tide gauges from 2007 to 2014 were integrated to investigate the relationships between extreme river discharge and coastal water levels near the mouths of the Eel, Russian, San Lorenzo, Ventura, Arroyo Trabuco, and San Diego rivers. Results indicate that mean and extreme coastal water levels during extreme river discharge are significantly higher compared with background conditions. Elevated coastal water levels result from the combination of nontidal residuals (NTRs) and wave setups. Mean and extreme (>99th percentile of observations) NTRs are 3–20 cm and ∼30 cm higher during extreme river discharge conditions, respectively. Mean and extreme wave setups are up to 40 cm and ∼20–90 cm higher during extreme river discharge than typical conditions, respectively. These water-level anomalies were generally greatest for the northern rivers and least for the southern rivers. Time-series comparisons suggest that increases in NTRs are largely coherent with extreme river discharge, owing to the low atmospheric pressure systems associated with storms. The potential flooding risks of the concurrent timing of these water masses are tempered by the mixed, semidiurnal tides of the region that have amplitudes of 2–2.5 m. In summary, flooding hazard assessments for floodplains near California river mouths for current or future conditions with sea-level rise should include the temporal coherence of fluvial and oceanic water levels.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00226.1","usgsCitation":"Odigie, K.O., and Warrick, J.A., 2018, Coherence between coastal and river flooding along the California coast: Journal of Coastal Research, v. 34, no. 2, p. 308-317, https://doi.org/10.2112/JCOASTRES-D-16-00226.1.","productDescription":"10 p.","startPage":"308","endPage":"317","ipdsId":"IP-084158","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469178,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5065674c","text":"External Repository"},{"id":347226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"34","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f0511fe4b0220bbd9a1d66","contributors":{"authors":[{"text":"Odigie, Kingsley O.","contributorId":198037,"corporation":false,"usgs":false,"family":"Odigie","given":"Kingsley","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":714880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":714879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192138,"text":"70192138 - 2018 - Groundwater development stress: Global-scale indices compared to regional modeling","interactions":[],"lastModifiedDate":"2018-09-12T16:08:09","indexId":"70192138","displayToPublicDate":"2017-10-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater development stress: Global-scale indices compared to regional modeling","docAbstract":"The increased availability of global datasets and technologies such as global hydrologic models and the Gravity Recovery and Climate Experiment (GRACE) satellites have resulted in a growing number of global-scale assessments of water availability using simple indices of water stress. Developed initially for surface water, such indices are increasingly used to evaluate global groundwater resources. We compare indices of groundwater development stress for three major agricultural areas of the United States to information available from regional water budgets developed from detailed groundwater modeling. These comparisons illustrate the potential value of regional-scale analyses to supplement global hydrological models and GRACE analyses of groundwater depletion. Regional-scale analyses allow assessments of water stress that better account for scale effects, the dynamics of groundwater flow systems, the complexities of irrigated agricultural systems, and the laws, regulations, engineering, and socioeconomic factors that govern groundwater use. Strategic use of regional-scale models with global-scale analyses would greatly enhance knowledge of the global groundwater depletion problem.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12578","usgsCitation":"Alley, W., Clark, B.R., Ely, M., and Faunt, C., 2018, Groundwater development stress: Global-scale indices compared to regional modeling: Groundwater, v. 56, no. 2, p. 266-275, https://doi.org/10.1111/gwat.12578.","productDescription":"10 p.","startPage":"266","endPage":"275","ipdsId":"IP-088279","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":347137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-15","publicationStatus":"PW","scienceBaseUri":"59eeffa2e4b0220bbd988f5a","contributors":{"authors":[{"text":"Alley, William 0000-0001-7286-3938 walley@usgs.gov","orcid":"https://orcid.org/0000-0001-7286-3938","contributorId":140175,"corporation":false,"usgs":true,"family":"Alley","given":"William","email":"walley@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":714370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":714371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Matt 0000-0003-3190-2907 mely@usgs.gov","orcid":"https://orcid.org/0000-0003-3190-2907","contributorId":1641,"corporation":false,"usgs":true,"family":"Ely","given":"Matt","email":"mely@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714372,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192188,"text":"70192188 - 2018 - Biomonitoring using invasive species in a large Lake: Dreissena distribution maps hypoxic zones","interactions":[],"lastModifiedDate":"2018-08-03T16:23:44","indexId":"70192188","displayToPublicDate":"2017-10-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Biomonitoring using invasive species in a large Lake: Dreissena distribution maps hypoxic zones","docAbstract":"Due to cultural eutrophication and global climate change, an exponential increase in the number and extent of hypoxic zones in marine and freshwater ecosystems has been observed in the last few decades. Hypoxia, or low dissolved oxygen (DO) concentrations, can produce strong negative ecological impacts and, therefore, is a management concern. We measured biomass and densities of Dreissena in Lake Erie, as well as bottom DO in 2014 using 19 high frequency data loggers distributed throughout the central basin to validate a three-dimensional hydrodynamic-ecological lake model. We found that a deep, offshore hypoxic zone was formed by early August, restricting the Dreissena population to shallow areas of the central basin. Deeper than 20 m, where bottom hypoxia routinely develops, only young of the year mussels were found in small numbers, indicating restricted recruitment and survival of young Dreissena. We suggest that monitoring Dreissenadistribution can be an effective tool for mapping the extent and frequency of hypoxia in freshwater. In addition, our results suggest that an anticipated decrease in the spatial extent of hypoxia resulting from nutrient management has the potential to increase the spatial extent of profundal habitat in the central basin available for Dreissena expansion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.08.001","usgsCitation":"Karatayev, A.Y., Burlakova, L.E., Mehler, K., Bocaniov, S.A., Collingsworth, P.D., Warren, G., Kraus, R.T., and Hinchey, E.K., 2018, Biomonitoring using invasive species in a large Lake: Dreissena distribution maps hypoxic zones: Journal of Great Lakes Research, v. 44, no. 4, p. 639-649, https://doi.org/10.1016/j.jglr.2017.08.001.","productDescription":"11 p.","startPage":"639","endPage":"649","ipdsId":"IP-074848","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469180,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc6350251","text":"External Repository"},{"id":347124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.8104248046875,\n 42.779275360241904\n ],\n [\n -78.892822265625,\n 42.90413649491736\n ],\n [\n -79.1400146484375,\n 42.896088552971065\n ],\n [\n -79.716796875,\n 42.87596410238256\n ],\n [\n -80.255126953125,\n 42.80346172417078\n ],\n [\n -80.52978515625,\n 42.589488572714245\n ],\n [\n -80.8154296875,\n 42.68243539838623\n ],\n [\n -81.3702392578125,\n 42.66628070564928\n ],\n [\n -82.0513916015625,\n 42.28950073090457\n ],\n [\n -82.5732421875,\n 42.05745022024682\n ],\n [\n -82.9522705078125,\n 42.02889410108475\n ],\n [\n -83.12805175781249,\n 42.13896840458089\n ],\n [\n -83.36975097656249,\n 41.95949009892467\n ],\n [\n -83.5400390625,\n 41.68111756290652\n ],\n [\n -83.0731201171875,\n 41.430371882652814\n ],\n [\n -82.5457763671875,\n 41.372686481864655\n ],\n [\n -81.7657470703125,\n 41.45507852101139\n ],\n [\n -80.52429199218749,\n 41.93088998442502\n ],\n [\n -79.156494140625,\n 42.524748042348165\n ],\n [\n -78.8104248046875,\n 42.779275360241904\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa1e4b0220bbd988f52","contributors":{"authors":[{"text":"Karatayev, Alexander Y.","contributorId":150923,"corporation":false,"usgs":false,"family":"Karatayev","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":18141,"text":"SUNY Buffalo State","active":true,"usgs":false}],"preferred":false,"id":714643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burlakova, Lyubov E.","contributorId":150918,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyubov","email":"","middleInitial":"E.","affiliations":[{"id":18141,"text":"SUNY Buffalo State","active":true,"usgs":false}],"preferred":false,"id":714644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehler, Knut","contributorId":197953,"corporation":false,"usgs":false,"family":"Mehler","given":"Knut","email":"","affiliations":[],"preferred":false,"id":714645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bocaniov, Serghei A.","contributorId":197954,"corporation":false,"usgs":false,"family":"Bocaniov","given":"Serghei","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warren, Glenn","contributorId":16375,"corporation":false,"usgs":true,"family":"Warren","given":"Glenn","affiliations":[],"preferred":false,"id":714648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinchey, Elizabeth K.","contributorId":197957,"corporation":false,"usgs":false,"family":"Hinchey","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":714649,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192178,"text":"70192178 - 2018 - Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter","interactions":[],"lastModifiedDate":"2020-09-01T14:03:04.536827","indexId":"70192178","displayToPublicDate":"2017-10-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter","docAbstract":"Soil organic matter (SOM) supports the Earth's ability to sustain terrestrial ecosystems, provide food and fiber, and retains the largest pool of actively cycling carbon. Over 75% of the soil organic carbon (SOC) in the top meter of soil is directly affected by human land use. Large land areas have lost SOC as a result of land use practices, yet there are compensatory opportunities to enhance productivity and SOC storage in degraded lands through improved management practices. Large areas with and without intentional management are also being subjected to rapid changes in climate, making many SOC stocks vulnerable to losses by decomposition or disturbance. In order to quantify potential SOC losses or sequestration at field, regional, and global scales, measurements for detecting changes in SOC are needed. Such measurements and soil-management best practices should be based on well established and emerging scientific understanding of processes of C stabilization and destabilization over various timescales, soil types, and spatial scales. As newly engaged members of the International Soil Carbon Network, we have identified gaps in data, modeling, and communication that underscore the need for an open, shared network to frame and guide the study of SOM and SOC and their management for sustained production and climate regulation.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13896","usgsCitation":"Harden, J.W., Hugelius, G., Ahlstrom, A., Blankinship, J.C., Bond-Lamberty, B., Lawrence, C., Loisel, J., Malhotra, A., Jackson, R.B., Ogle, S.M., Phillips, C., Ryals, R., Todd-Brown, K., Vargas, R., Vergara, S.E., Cotrufo, M.F., Keiluweit, M., Heckman, K., Crow, S.E., Silver, W., DeLonge, M., and Nave, L.E., 2018, Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter: Global Change Biology, v. 24, no. 2, p. e705-e718, https://doi.org/10.1111/gcb.13896.","productDescription":"14 p.","startPage":"e705","endPage":"e718","ipdsId":"IP-090298","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469182,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13896","text":"Publisher Index Page"},{"id":347127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-05","publicationStatus":"PW","scienceBaseUri":"59eeffa1e4b0220bbd988f54","contributors":{"authors":[{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hugelius, Gustaf 0000-0002-8096-1594","orcid":"https://orcid.org/0000-0002-8096-1594","contributorId":73863,"corporation":false,"usgs":false,"family":"Hugelius","given":"Gustaf","email":"","affiliations":[{"id":17850,"text":"Dept of Earth System Science, Stanford University, Stanford, CA 94305","active":true,"usgs":false},{"id":25546,"text":"Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":714564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlstrom, Anders","contributorId":167793,"corporation":false,"usgs":false,"family":"Ahlstrom","given":"Anders","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":714565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blankinship, Joseph C.","contributorId":197908,"corporation":false,"usgs":false,"family":"Blankinship","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":34215,"text":"University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":714566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond-Lamberty, Ben","contributorId":172028,"corporation":false,"usgs":false,"family":"Bond-Lamberty","given":"Ben","email":"","affiliations":[{"id":33852,"text":"Univ of Maryland, College Park, MD","active":true,"usgs":false},{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":714567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Corey 0000-0002-2179-2436 clawrence@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-2436","contributorId":190438,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"clawrence@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":714568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loisel, Julie","contributorId":166672,"corporation":false,"usgs":false,"family":"Loisel","given":"Julie","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":714569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malhotra, Avni 0000-0002-7850-6402","orcid":"https://orcid.org/0000-0002-7850-6402","contributorId":197909,"corporation":false,"usgs":false,"family":"Malhotra","given":"Avni","email":"","affiliations":[{"id":35065,"text":"Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":714570,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jackson, Robert B. 0000-0001-8846-7147","orcid":"https://orcid.org/0000-0001-8846-7147","contributorId":34252,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":714571,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ogle, Stephen M.","contributorId":187520,"corporation":false,"usgs":false,"family":"Ogle","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":714572,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Phillips, Claire","contributorId":197912,"corporation":false,"usgs":false,"family":"Phillips","given":"Claire","email":"","affiliations":[{"id":35067,"text":"USDA-ARS Forage Seed and Cereal Research Unit, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":714573,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ryals, Rebecca","contributorId":197913,"corporation":false,"usgs":false,"family":"Ryals","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":714574,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Todd-Brown, Katherine","contributorId":197914,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","affiliations":[],"preferred":false,"id":714575,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":714576,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vergara, Sintana E.","contributorId":197916,"corporation":false,"usgs":false,"family":"Vergara","given":"Sintana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714577,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cotrufo, M. Francesca","contributorId":197917,"corporation":false,"usgs":false,"family":"Cotrufo","given":"M.","email":"","middleInitial":"Francesca","affiliations":[],"preferred":false,"id":714578,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Keiluweit, Marco","contributorId":197918,"corporation":false,"usgs":false,"family":"Keiluweit","given":"Marco","email":"","affiliations":[],"preferred":false,"id":714579,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Heckman, Katherine","contributorId":172877,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","affiliations":[{"id":27110,"text":"U.S. Dept of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":714580,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Crow, Susan E.","contributorId":197920,"corporation":false,"usgs":false,"family":"Crow","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714581,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Silver, Whendee L.","contributorId":80998,"corporation":false,"usgs":true,"family":"Silver","given":"Whendee L.","affiliations":[],"preferred":false,"id":714582,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"DeLonge, Marcia","contributorId":197922,"corporation":false,"usgs":false,"family":"DeLonge","given":"Marcia","email":"","affiliations":[],"preferred":false,"id":714583,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Nave, Lucas E.","contributorId":21065,"corporation":false,"usgs":true,"family":"Nave","given":"Lucas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714584,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70192196,"text":"70192196 - 2018 - Fine-scale acoustic telemetry reveals unexpected lake trout, Salvelinus namaycush, spawning habitats in northern Lake Huron, North America","interactions":[],"lastModifiedDate":"2018-03-05T15:46:57","indexId":"70192196","displayToPublicDate":"2017-10-23T00:00:00","publicationYear":"2018","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}},"displayTitle":"Fine-scale acoustic telemetry reveals unexpected lake trout, Salvelinus namaycush, spawning habitats in northern Lake Huron, North America","title":"Fine-scale acoustic telemetry reveals unexpected lake trout, Salvelinus namaycush, spawning habitats in northern Lake Huron, North America","docAbstract":"Previous studies of lake trout, Salvelinus namaycush, spawning habitat in the Laurentian Great Lakes have used time- and labour-intensive survey methods and have focused on areas with historic observations of spawning aggregations and on habitats prejudged by researchers to be suitable for spawning. As an alternative, we used fine-scale acoustic telemetry to locate, describe and compare lake trout spawning habitats. Adult lake trout were implanted with acoustic transmitters and tracked during five consecutive spawning seasons in a 19–27 km2 region of the Drummond Island Refuge, Lake Huron, using the VEMCO Positioning System. Acoustic telemetry revealed discrete areas of aggregation on at least five reefs in the study area, subsequently confirmed by divers to contain deposited eggs. Notably, several identified spawning sites would likely not have been discovered using traditional methods because either they were too small and obscure to stand out on a bathymetric map or because they did not conform to the conceptual model of spawning habitat held by many biologists. Our most unique observation was egg deposition in gravel and rubble substrates located at the base of and beneath overhanging edges of large boulders. Spawning sites typically comprised <10% of the reef area and were used consistently over the 5-year study. Evaluation of habitat selection from the perspective of fish behaviour through use of acoustic transmitters offers potential to expand current conceptual models of critical spawning habitat.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12373","usgsCitation":"Binder, T., Farha, S., Thompson, H.T., Holbrook, C., Bergstedt, R., Riley, S., Bronte, C.R., He, J., and Krueger, C., 2018, Fine-scale acoustic telemetry reveals unexpected lake trout, Salvelinus namaycush, spawning habitats in northern Lake Huron, North America: Ecology of Freshwater Fish, v. 27, no. 2, p. 594-605, https://doi.org/10.1111/eff.12373.","productDescription":"12 p.","startPage":"594","endPage":"605","ipdsId":"IP-088842","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12373","text":"Publisher Index Page"},{"id":347117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.697,\n 45.899\n ],\n [\n -83.619,\n 45.899\n ],\n [\n -83.619,\n 45.941\n ],\n [\n -83.697,\n 45.941\n ],\n [\n -83.697,\n 45.899\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-04","publicationStatus":"PW","scienceBaseUri":"59eeffa0e4b0220bbd988f50","contributors":{"authors":[{"text":"Binder, Thomas 0000-0001-9266-9120 tbinder@usgs.gov","orcid":"https://orcid.org/0000-0001-9266-9120","contributorId":4958,"corporation":false,"usgs":true,"family":"Binder","given":"Thomas","email":"tbinder@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Henry T. 0000-0002-3730-9322 hthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-3730-9322","contributorId":5028,"corporation":false,"usgs":true,"family":"Thompson","given":"Henry","email":"hthompson@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergstedt, Roger A.","contributorId":190726,"corporation":false,"usgs":false,"family":"Bergstedt","given":"Roger A.","affiliations":[],"preferred":false,"id":714690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":714691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":714692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"He, Ji","contributorId":172649,"corporation":false,"usgs":false,"family":"He","given":"Ji","affiliations":[],"preferred":false,"id":714693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":714694,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192049,"text":"70192049 - 2018 - Regeneration and invasion of cottonwood riparian forest following wildfire","interactions":[],"lastModifiedDate":"2018-05-29T13:50:24","indexId":"70192049","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Regeneration and invasion of cottonwood riparian forest following wildfire","docAbstract":"Populus deltoides is considered to be a weak resprouter and highly susceptible to wildfire, but few post-wildfire studies have tracked P. deltoides response and resprouting within the Great Plains of North America. Following a wildfire in southwestern Kansas, U.S.A., we surveyed burned and unburned areas of a cottonwood riparian forest along the Cimarron River that included a major understory invader, tamarisk (Tamarix ramosissima Ledeb.). We tested the following hypotheses, which are consistent with the current understanding of P. deltoides response to wildfire in the Great Plains: (1) regeneration of P. deltoides will be low in areas burned by the wildfire; (2) the number of dead P. deltoides individuals will be greater in the wildfire than unburned areas; and (3) tamarisk regeneration will be higher than P. deltoides regeneration in the wildfire areas because tamarisk is considered a stronger resprouter. We found evidence contrary to two of our hypotheses 3 years following the wildfire. (1) P. deltoides regeneration was high following the wildfire, averaging 692 individuals/ha. (2) The number of dead mature cottonwood trees was greater in wildfire plots than in unburned plots. (3) There was more P. deltoides regeneration than tamarisk regeneration following wildfire. These findings, which diverge from the majority of studies examining P. deltoides regeneration in the Great Plains, suggest that differing local environmental and forest stand conditions, coupled with the timing and intensity of the fire, could be important determinants of riparian forest species' responses to wildfire.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12577","usgsCitation":"Wonkka, C.L., Twidwell, D., Bielski, C.H., Allen, C.R., and Stambaugh, M., 2018, Regeneration and invasion of cottonwood riparian forest following wildfire: Restoration Ecology, v. 26, no. 3, p. 456-465, https://doi.org/10.1111/rec.12577.","productDescription":"10 p.","startPage":"456","endPage":"465","ipdsId":"IP-089083","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Cimarron National Grassland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.0417022705078,\n 37.1148835532981\n ],\n [\n -102.04238891601561,\n 37.02996578145435\n ],\n [\n -101.62353515625,\n 37.17235445206048\n ],\n [\n -101.64413452148436,\n 37.242901757950854\n ],\n [\n -102.0417022705078,\n 37.1148835532981\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"59e9b990e4b05fe04cd65c35","contributors":{"authors":[{"text":"Wonkka, Carissa L.","contributorId":197668,"corporation":false,"usgs":false,"family":"Wonkka","given":"Carissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":714022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bielski, Christine H.","contributorId":197669,"corporation":false,"usgs":false,"family":"Bielski","given":"Christine","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stambaugh, Michael C.","contributorId":51202,"corporation":false,"usgs":true,"family":"Stambaugh","given":"Michael C.","affiliations":[],"preferred":false,"id":714024,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192073,"text":"70192073 - 2018 - Identifying species conservation strategies to reduce disease-associated declines","interactions":[],"lastModifiedDate":"2018-04-17T12:44:25","indexId":"70192073","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Identifying species conservation strategies to reduce disease-associated declines","docAbstract":"Emerging infectious diseases (EIDs) are a salient threat to many animal taxa, causing local and global extinctions, altering communities and ecosystem function. The EID chytridiomycosis is a prominent driver of amphibian declines, which is caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd). To guide conservation policy, we developed a predictive decision-analytic model that combines empirical knowledge of host-pathogen metapopulation dynamics with expert judgment regarding effects of management actions, to select from potential conservation strategies. We apply our approach to a boreal toad (Anaxyrus boreas boreas) and Bd system, identifying optimal strategies that balance tradeoffs in maximizing toad population persistence and landscape-level distribution, while considering costs. The most robust strategy is expected to reduce the decline of toad breeding sites from 53% to 21% over 50 years. Our findings are incorporated into management policy to guide conservation planning. Our online modeling application provides a template for managers of other systems challenged by EIDs.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12393","usgsCitation":"Gerber, B.D., Converse, S.J., Muths, E.L., Crockett, H.J., Mosher, B.A., and Bailey, L., 2018, Identifying species conservation strategies to reduce disease-associated declines: Conservation Letters, v. 11, no. 2, p. 1-10, https://doi.org/10.1111/conl.12393.","productDescription":"e12393; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-083900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12393","text":"Publisher Index Page"},{"id":347003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"59e9b98ee4b05fe04cd65c24","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":714081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":714082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crockett, Harry J.","contributorId":75417,"corporation":false,"usgs":true,"family":"Crockett","given":"Harry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":714184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192068,"text":"70192068 - 2018 - Tagging effects of passive integrated transponder and visual implant elastomer on the small-bodied white sands pupfish (Cyprinodon tularosa)","interactions":[],"lastModifiedDate":"2017-11-10T14:10:06","indexId":"70192068","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tagging effects of passive integrated transponder and visual implant elastomer on the small-bodied white sands pupfish (Cyprinodon tularosa)","title":"Tagging effects of passive integrated transponder and visual implant elastomer on the small-bodied white sands pupfish (Cyprinodon tularosa)","docAbstract":"One of the greatest limiting factors of studies designed to obtain growth, movement, and survival in small-bodied fishes is the selection of a viable tag. The tag must be relatively small with respect to body size as to impart minimal sub-lethal effects on growth and mobility, as well as be retained throughout the life of the fish or duration of the study. Thus, body size of the model species becomes a major limiting factor; yet few studies have obtained empirical evidence of the minimum fish size and related tagging effects. The probability of surviving a tagging event was quantified in White Sands pupfish (Cyprinodon tularosa) across a range of sizes (19–60 mm) to address the hypothesis that body size predicts tagging survival. We compared tagging related mortality, individual taggers, growth, and tag retention in White Sands pupfish implanted with 8-mm passive integrated transponder (PIT), visual implant elastomer (VIE), and control (handled similarly, but no tag implantation) over a 75 d period. Initial body weight was a good predictor of the probability of survival in PIT- and VIE-tagged fish. As weight increased by 1 g, the fish were 4.73 times more likely to survive PIT-tag implantation compared to the control fish with an estimated suitable tagging size at 1.1 g (TL: 39.29 ± 0.41 mm). Likewise, VIE-tagged animals were 2.27 times more likely to survive a tagging event compared to the control group for every additional 1 g with an estimated size suitable for tagging of 0.9 g (TL: 36.9 ± 0.36 mm) fish. Growth rates of PIT- and VIE-tagged White Sands pupfish were similar to the control groups. This research validated two popular tagging methodologies in the White Sands pupfish, thus providing a valuable tool for characterizing vital rates in other small-bodied fishes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2017.08.019","usgsCitation":"Peterson, D., Trantham, R.B., Trantham, T.G., and Caldwell, C.A., 2018, Tagging effects of passive integrated transponder and visual implant elastomer on the small-bodied white sands pupfish (Cyprinodon tularosa): Fisheries Research, v. 198, p. 203-208, https://doi.org/10.1016/j.fishres.2017.08.019.","productDescription":"6 p.","startPage":"203","endPage":"208","ipdsId":"IP-082439","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2017.08.019","text":"Publisher Index Page"},{"id":346982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b98fe4b05fe04cd65c28","contributors":{"authors":[{"text":"Peterson, Damon","contributorId":197677,"corporation":false,"usgs":false,"family":"Peterson","given":"Damon","email":"","affiliations":[],"preferred":false,"id":714066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trantham, Randi B.","contributorId":197678,"corporation":false,"usgs":false,"family":"Trantham","given":"Randi","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":714067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trantham, Tulley G.","contributorId":197679,"corporation":false,"usgs":false,"family":"Trantham","given":"Tulley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191931,"text":"70191931 - 2018 - Long-term persistence and fire resilience of oak shrubfields in dry conifer forests of northern New Mexico","interactions":[],"lastModifiedDate":"2018-08-10T13:46:29","indexId":"70191931","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Long-term persistence and fire resilience of oak shrubfields in dry conifer forests of northern New Mexico","docAbstract":"Extensive high-severity fires are creating large shrubfields in many dry conifer forests of the interior western USA, raising concerns about forest-to-shrub conversion. This study evaluates the role of disturbance in shrubfield formation, maintenance and succession in the Jemez Mountains, New Mexico. We compared the environmental conditions of extant Gambel oak (Quercus gambelii) shrubfields with adjoining dry conifer forests and used dendroecological methods to determine the multi-century fire history and successional dynamics of five of the largest shrubfields (76–340 ha). Across the study area, 349 shrubfields (5–368 ha) occur in similar topographic and climate settings as dry conifer forests. This suggests disturbance, rather than other biophysical factors, may explain their origins and persistence. Gambel oak ages and tree-ring fire scars in our sampled shrubfields indicate they historically (1664–1899) burned concurrently with adjoining conifer forests and have persisted for over 115 years in the absence of fire. Aerial imagery from 1935 confirmed almost no change in sampled shrubfield patch sizes or boundaries over the twentieth century. The largest shrubfield we identified is less than 4% the size of the largest conifer-depleted and substantially shrub-dominated area recently formed in the Jemez following extensive high-severity wildfires, indicating considerable departure from historical patterns and processes. Projected hotter droughts and increasingly large high-severity fires could trigger more forest-to-shrub transitions and maintain existing shrubfields, inhibiting conifer forest recovery. Restoration of surface fire regimes and associated historical forest structures likely could reduce the rate and patch size of dry conifer forests being converted to shrubfields.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0192-2","usgsCitation":"Guiterman, C.H., Margolis, E.Q., Allen, C.D., Falk, D.A., and Swetnam, T.W., 2018, Long-term persistence and fire resilience of oak shrubfields in dry conifer forests of northern New Mexico: Ecosystems, v. 21, no. 5, p. 943-959, https://doi.org/10.1007/s10021-017-0192-2.","productDescription":"17 p.","startPage":"943","endPage":"959","ipdsId":"IP-086259","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.9683837890625,\n 35.561277754384555\n ],\n [\n -106.1004638671875,\n 35.561277754384555\n ],\n [\n -106.1004638671875,\n 36.23984280222428\n ],\n [\n -106.9683837890625,\n 36.23984280222428\n ],\n [\n -106.9683837890625,\n 35.561277754384555\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"59e9b991e4b05fe04cd65c42","contributors":{"authors":[{"text":"Guiterman, Christopher H.","contributorId":190553,"corporation":false,"usgs":false,"family":"Guiterman","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":713748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":713749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, Donald A.","contributorId":197570,"corporation":false,"usgs":false,"family":"Falk","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swetnam, Thomas W.","contributorId":191872,"corporation":false,"usgs":false,"family":"Swetnam","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":713747,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191516,"text":"70191516 - 2018 - The effects of snow and salt on ice table stability in University Valley, Antarctica","interactions":[],"lastModifiedDate":"2018-01-24T15:56:00","indexId":"70191516","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"The effects of snow and salt on ice table stability in University Valley, Antarctica","docAbstract":"The Antarctic Dry Valleys represent a unique environment where it is possible to study dry permafrost overlaying an ice-rich permafrost. In this paper, two opposing mechanisms for ice table stability in University Valley are addressed: i) diffusive recharge via thin seasonal snow deposits and ii) desiccation via salt deposits in the upper soil column. A high-resolution time-marching soil and snow model was constructed and applied to University Valley, driven by meteorological station atmospheric measurements. It was found that periodic thin surficial snow deposits (observed in University Valley) are capable of drastically slowing (if not completely eliminating) the underlying ice table ablation. The effects of NaCl, CaCl2 and perchlorate deposits were then modelled. Unlike the snow cover, however, the presence of salt in the soil surface (but no periodic snow) results in a slight increase in the ice table recession rate, due to the hygroscopic effects of salt sequestering vapour from the ice table below. Near-surface pore ice frequently forms when large amounts of salt are present in the soil due to the suppression of the saturation vapour pressure. Implications for Mars high latitudes are discussed.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102017000402","usgsCitation":"Williams, K.E., Heldmann, J.L., McKay, C.P., and Mellon, M.T., 2018, The effects of snow and salt on ice table stability in University Valley, Antarctica: Antarctic Science, v. 30, no. 1, p. 67-78, https://doi.org/10.1017/S0954102017000402.","productDescription":"12 p.","startPage":"67","endPage":"78","ipdsId":"IP-086125","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469185,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7430506","text":"External Repository"},{"id":346627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, University Valley","volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-13","publicationStatus":"PW","scienceBaseUri":"59e5c518e4b05fe04cd1c9c2","contributors":{"authors":[{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldmann, Jennifer L.","contributorId":197096,"corporation":false,"usgs":false,"family":"Heldmann","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKay, Christopher P.","contributorId":197097,"corporation":false,"usgs":false,"family":"McKay","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":712566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191455,"text":"70191455 - 2018 - Meteorological and environmental variables affect flight behaviour and decision-making of an obligate soaring bird, the California Condor Gymnogyps californianus","interactions":[],"lastModifiedDate":"2017-12-11T13:35:23","indexId":"70191455","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Meteorological and environmental variables affect flight behaviour and decision-making of an obligate soaring bird, the California Condor Gymnogyps californianus","title":"Meteorological and environmental variables affect flight behaviour and decision-making of an obligate soaring bird, the California Condor Gymnogyps californianus","docAbstract":"The movements of animals are limited by evolutionary constraints and ecological processes and are strongly influenced by the medium through which they travel. For flying animals, variation in atmospheric conditions is critically influential in movement. Obligate soaring birds depend on external sources of updraft more than do other flying species, as without that updraft they are unable to sustain flight for extended periods. These species are therefore good models for understanding how the environment can influence decisions about movement. We used meteorological and topographic variables to understand the environmental influences on the decision to engage in flight by obligate soaring and critically endangered California Condors Gymnogyps californianus. Condors were more likely to fly, soared at higher altitudes and flew over smoother terrain when weather conditions promoted either thermal or orographic updrafts, for example when turbulence and solar radiation were higher and when winds from the east and north were stronger. However, increased atmospheric stability, which is inconsistent with thermal development but may be associated with orographic updrafts, was correlated with a somewhat higher probability of being in flight at lower altitudes and over rougher terrain. The close and previously undescribed linkages between Condor flight and conditions that support development of thermal and orographic updrafts provide important insight into the behaviour of obligate soaring birds and into the environmental parameters that may define the currently expanding distribution of Condors within and outside the state of California.
","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12531","usgsCitation":"Poessel, S.A., Brandt, J., Miller, T.A., and Katzner, T., 2018, Meteorological and environmental variables affect flight behaviour and decision-making of an obligate soaring bird, the California Condor Gymnogyps californianus: Ibis, v. 160, no. 1, p. 36-53, https://doi.org/10.1111/ibi.12531.","productDescription":"18 p.","startPage":"36","endPage":"53","ipdsId":"IP-082014","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":346626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.10205078125,\n 34.15272698011818\n ],\n [\n -117.861328125,\n 34.15272698011818\n ],\n [\n -117.861328125,\n 36.958671131530316\n ],\n [\n -122.10205078125,\n 36.958671131530316\n ],\n [\n -122.10205078125,\n 34.15272698011818\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"160","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-06","publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9cc","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":712338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":712339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":712340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":712341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216872,"text":"70216872 - 2018 - A sequential selective dissolution method to quantify storage and stability of organic carbon associated with Al and Fe hydroxide phases","interactions":[],"lastModifiedDate":"2020-12-10T18:07:49.187269","indexId":"70216872","displayToPublicDate":"2017-10-13T11:49:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"A sequential selective dissolution method to quantify storage and stability of organic carbon associated with Al and Fe hydroxide phases","docAbstract":"Stabilization of SOM (soil organic matter) is regulated in part by sorption and desorption reactions happening at mineral surfaces, as well as precipitation and dissolution of organo-metal complexes. Fe and Al hydroxides play a particularly significant role in SOM stabilization in soils due to their ubiquitous distribution and their highly reactive surface properties. Iron and Al hydroxides exist in soils across a wide spectrum of crystallinity, ranging from dissolved Fe and Al cations which combine with organics to form organo-metal precipitates to the more crystalline end members, goethite and gibbsite, which sorb SOM through a variety of molecular interactions. Though the importance of these sorption and precipitation reactions has long been recognized, the distribution of SOM among Fe and Al hydroxides of differing crystallinity has not been well quantified, nor has the timescale over which these stabilization mechanisms operate. In an attempt to measure the distribution of organic C among (i) Al- and Fe-humus complexes (ii) short-range-order (SRO) Al and Fe hydroxide surfaces and (iii) crystalline Fe oxyhydroxide surfaces, a single method combining several selective mineral dissolutions was applied to soils of four different geneses (a tropical forest Andisol, a temperate forest basaltic Mollisol, a Mediterranean coastal prairie Mollisol, and a northern mixed hardwood forest Spodosol). The traditional reactants used in selective dissolutions were replaced with carbon-free analogues so that the carbon released along with the Fe and Al at each stage of the selective dissolution process could be measured. Selective dissolutions were performed sequentially: Na-pyrophosphate (organo-Al and Fe complexes) followed by hydroxylamine (SRO Al and Fe hydroxides) followed by dithionite-HCl (crystalline Fe hydroxides). Carbon, Al, and Fe concentrations, as well as radiocarbon abundance were measured in the solutions yielded by each stage of the selective dissolution process. Results suggest that precipitation of organo-metal complexes (Na-pyrophosphate extractable C) often accounts for the largest pool of stabilized C among the three selectively dissolved pools, but these complexes were 14C enriched in comparison to C from the other selectively dissolved pools and the residual C left on crystalline mineral surfaces after all three stages of selective dissolution. Hydroxylamine and dithionite-HCl extractable C pools were, on average, small and often below detection level in temperate soils. However, radiocarbon values for these C pools were generally depleted in comparison to other pools. These results suggest variation in organo-mineral complex stability is associated with degree of crystallinity of the mineral phase. Overall, this work suggests that sequential selective dissolution methods are a promising tool for characterizing the content and isotopic composition of soil C associated with distinct organo-mineral and organo-metal associations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2017.09.043","usgsCitation":"Heckman, K., Lawrence, C., and Harden, J.W., 2018, A sequential selective dissolution method to quantify storage and stability of organic carbon associated with Al and Fe hydroxide phases: Geoderma, v. 312, p. 24-35, https://doi.org/10.1016/j.geoderma.2017.09.043.","productDescription":"12 p.","startPage":"24","endPage":"35","ipdsId":"IP-086071","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469186,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2017.09.043","text":"Publisher Index Page"},{"id":438085,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UGPZ0R","text":"USGS data release","linkHelpText":"A sequential selective dissolution method to quantify storage and stability of organic carbon associated with Al and Fe hydroxide phases\r\n"},{"id":381203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"312","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heckman, Katherine","contributorId":245634,"corporation":false,"usgs":false,"family":"Heckman","given":"Katherine","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":806670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":245635,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":806671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":806672,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191342,"text":"70191342 - 2018 - Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics","interactions":[],"lastModifiedDate":"2017-10-05T15:51:07","indexId":"70191342","displayToPublicDate":"2017-10-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics","docAbstract":"Simple screening approaches for the neurotoxicant methylmercury (MeHg) in aquatic ecosystems may be helpful in risk assessments of natural resources. We explored the development of such an approach in the Adirondack Mountains of New York, USA, a region with high levels of MeHg bioaccumulation. Thirty-six perennial streams broadly representative of 1st and 2nd order streams in the region were sampled during summer low flow and analyzed for several solutes and for Hg concentrations in fish. Several landscape and chemical metrics that are typically strongly related to MeHg concentrations in aquatic biota were explored for strength of association with fish Hg concentrations. Data analyses were based on site mean length-normalized and standardized Hg concentrations (assumed to be dominantly MeHg) in whole juvenile and adult Brook Trout Salvelinus fontinalis, Creek Chub Semotilus atromaculatus, Blacknose Dace Rhinichthys atratulus, and Central Mudminnow Umbra limi, as well as on multi-species z-scores. Surprisingly, none of the landscape metrics was related significantly to regional variation in fish Hg concentrations or to z-scores across the study streams. In contrast, several chemical metrics including dissolved organic carbon (DOC) concentrations, sulfate concentrations (SO42−), pH, ultra-violet absorbance (UV254), and specific ultra-violet absorbance were significantly related to regional variation in fish Hg concentrations. A cluster analysis based on DOC, SO42−, and pH identified three distinct groups of streams: (1) high DOC, acidic streams, (2) moderate DOC, slightly acidic streams, and (3) low DOC circum-neutral streams with relatively high SO42−. Preliminary analysis indicated no significant difference in fish Hg z-scores between the moderate and high DOC groups, so these were combined for further analysis. The resulting two groups showed strong differences (p < 0.001) in DOC and SO42−concentrations as well as in pH and UV254 values. Median fish z-scores were significantly higher (p = 0.002) in the group of streams with higher DOC and UV254 and lower pH and SO42−. Screening values of DOC >6.9 mg/L, SO42− <2.8 mg/L, pH <6.6, and UV254>0.31 cm−1 were tested as thresholds to identify Adirondack stream sites likely to have higher fish Hg concentrations. By applying a combined threshold of exceedance for either pH or UV254, sites with fish Hg concentrations that exceeded a wildlife guideline of 100 ng/g were correctly identified about 75% of the time among the 36 study streams. An estimate of Hg risk applied to a data set of 391 streams based on DOC concentrations showed that about 28% were likely to pose high risk to wildlife; most of these streams were located in the western Adirondacks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.09.031","usgsCitation":"Burns, D.A., and Riva-Murray, K., 2018, Variation in fish mercury concentrations in streams of the Adirondack region, New York: A simplified screening approach using chemical metrics: Ecological Indicators, v. 84, p. 648-661, https://doi.org/10.1016/j.ecolind.2017.09.031.","productDescription":"14 p.","startPage":"648","endPage":"661","ipdsId":"IP-086048","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2017.09.031","text":"Publisher Index Page"},{"id":346436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4376220703125,\n 42.99661231842139\n ],\n [\n -73.3172607421875,\n 42.99661231842139\n ],\n [\n -73.3172607421875,\n 44.89090425391711\n ],\n [\n -75.4376220703125,\n 44.89090425391711\n ],\n [\n -75.4376220703125,\n 42.99661231842139\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d74496e4b05fe04cc7e2d4","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riva-Murray, Karen krmurray@usgs.gov","contributorId":168654,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","email":"krmurray@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":712012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191264,"text":"70191264 - 2018 - Estimating carbon and showing impacts of drought using satellite data in regression-tree models","interactions":[],"lastModifiedDate":"2022-04-01T22:41:03.609362","indexId":"70191264","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating carbon and showing impacts of drought using satellite data in regression-tree models","docAbstract":"Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, allowing a better understanding of broad-scale ecosystem processes. The current study presents annual gross primary production (GPP) and annual ecosystem respiration (RE) for 2000–2013 in several short-statured vegetation types using carbon flux data from towers that are located strategically across the conterminous United States (CONUS). We calculate carbon fluxes (annual net ecosystem production [NEP]) for each year in our study period, which includes 2012 when drought and higher-than-normal temperatures influence vegetation productivity in large parts of the study area. We present and analyse carbon flux dynamics in the CONUS to better understand how drought affects GPP, RE, and NEP. Model accuracy metrics show strong correlation coefficients (r) (r ≥ 94%) between training and estimated data for both GPP and RE. Overall, average annual GPP, RE, and NEP are relatively constant throughout the study period except during 2012 when almost 60% less carbon is sequestered than normal. These results allow us to conclude that this modelling method effectively estimates carbon dynamics through time and allows the exploration of impacts of meteorological anomalies and vegetation types on carbon dynamics.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2017.1384592","usgsCitation":"Boyte, S.P., Wylie, B.K., Howard, D., Dahal, D., and Gilmanov, T.G., 2018, Estimating carbon and showing impacts of drought using satellite data in regression-tree models: International Journal of Remote Sensing, v. 39, no. 2, p. 374-398, https://doi.org/10.1080/01431161.2017.1384592.","productDescription":"25 p.; Data release","startPage":"374","endPage":"398","ipdsId":"IP-090215","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":346312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397946,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CR5S8M","text":"USGS data release","description":"USGS data release","linkHelpText":"Mapping average GPP, RE, and NEP for 2000 to 2013 using satellite data integrated into regression-tree models in the conterminous United States"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 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 ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\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":"39","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-01","publicationStatus":"PW","scienceBaseUri":"59d35022e4b05fe04cc34d39","contributors":{"authors":[{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":711759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":711760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Danny 0000-0002-7563-7538 danny.howard.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":176973,"corporation":false,"usgs":true,"family":"Howard","given":"Danny","email":"danny.howard.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":711761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","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":711762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilmanov, Tagir G.","contributorId":146124,"corporation":false,"usgs":false,"family":"Gilmanov","given":"Tagir","email":"","middleInitial":"G.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":711763,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193052,"text":"70193052 - 2018 - International Limnogeology Congress (ILIC6), Reno USA, special issue on new limnogeological research focused on pre-Holocene lake systems","interactions":[],"lastModifiedDate":"2018-01-10T19:39:17","indexId":"70193052","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"International Limnogeology Congress (ILIC6), Reno USA, special issue on new limnogeological research focused on pre-Holocene lake systems","docAbstract":"No abstract available.
This chapter addresses long-range dispersion and the survival of microorganisms across a wide range of altitudes in Earth's atmosphere. Topics include mechanisms of dispersion, survivability of microorganisms known to be associated with long-range transport, natural and artificial sources of bioaerosols, residence time estimation through the use of proxy aerosols, transport and emission models, and monitoring assays (both culture and molecular based). We conclude with a discussion of the known limits for Earth's biosphere boundary, relating aerobiology studies to planetary exploration given the large degree of overlapping requirements for in situ studies (including low biomass life detection and contamination control).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Microbiology of aerosols","language":"English","publisher":"Wiley","doi":"10.1002/9781119132318.ch2c","usgsCitation":"Griffin, D.W., Gonzalez-Martin, C., Hoose, C., and Smith, D., 2018, 2.3. Global-scale atmospheric dispersion of microorganisms, chap. of Microbiology of aerosols, https://doi.org/10.1002/9781119132318.ch2c.","ipdsId":"IP-074805","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227db","contributors":{"editors":[{"text":"Delort, Anne-Marie","contributorId":201091,"corporation":false,"usgs":false,"family":"Delort","given":"Anne-Marie","email":"","affiliations":[],"preferred":false,"id":724307,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Amato, Pierre","contributorId":201092,"corporation":false,"usgs":false,"family":"Amato","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":724308,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez-Martin, Cristina","contributorId":30084,"corporation":false,"usgs":true,"family":"Gonzalez-Martin","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":724304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoose, C.","contributorId":201090,"corporation":false,"usgs":false,"family":"Hoose","given":"C.","email":"","affiliations":[],"preferred":false,"id":724305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, D.J.","contributorId":48417,"corporation":false,"usgs":true,"family":"Smith","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":724306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202423,"text":"70202423 - 2018 - States and rates: Complementary approaches to developing flow‐ecology relationships","interactions":[],"lastModifiedDate":"2019-02-28T09:34:54","indexId":"70202423","displayToPublicDate":"2017-09-28T09:26:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"States and rates: Complementary approaches to developing flow‐ecology relationships","docAbstract":"The impact of groundwater withdrawal on surface water is a concern of water users and water managers, particularly in the arid western United States. Capture maps are useful tools to spatially assess the impact of groundwater pumping on water sources (e.g., streamflow depletion) and are being used more frequently for conjunctive management of surface water and groundwater. Capture maps have been derived using linear groundwater flow models and rely on the principle of superposition to demonstrate the effects of pumping in various locations on resources of interest. However, nonlinear models are often necessary to simulate head-dependent boundary conditions and unconfined aquifers. Capture maps developed using nonlinear models with the principle of superposition may over- or underestimate capture magnitude and spatial extent. This paper presents new methods for generating capture difference maps, which assess spatial effects of model nonlinearity on capture fraction sensitivity to pumping rate, and for calculating the bias associated with capture maps. The sensitivity of capture map bias to selected parameters related to model design and conceptualization for the arid western United States is explored. This study finds that the simulation of stream continuity, pumping rates, stream incision, well proximity to capture sources, aquifer hydraulic conductivity, and groundwater evapotranspiration extinction depth substantially affect capture map bias. Capture difference maps demonstrate that regions with large capture fraction differences are indicative of greater potential capture map bias. Understanding both spatial and temporal bias in capture maps derived from nonlinear groundwater flow models improves their utility and defensibility as conjunctive-use management tools.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12597","usgsCitation":"Nadler, C.A., Allander, K.K., Pohll, G., Morway, E.D., Naranjo, R.C., and Huntington, J., 2018, Evaluation of bias associated with capture maps derived from nonlinear groundwater flow models: Groundwater, v. 56, no. 3, p. 458-469, https://doi.org/10.1111/gwat.12597.","productDescription":"12 p.","startPage":"458","endPage":"469","ipdsId":"IP-083048","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":346162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381594,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70191177/70191177.pdf","text":"USGS open-access version of article","size":"1 MB","linkFileType":{"id":1,"text":"pdf"}}],"volume":"56","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59ce0a23e4b05fe04cc020e7","contributors":{"authors":[{"text":"Nadler, Cara A. 0000-0002-8711-7249 cnadler@usgs.gov","orcid":"https://orcid.org/0000-0002-8711-7249","contributorId":196757,"corporation":false,"usgs":true,"family":"Nadler","given":"Cara","email":"cnadler@usgs.gov","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohll, Greg","contributorId":196758,"corporation":false,"usgs":false,"family":"Pohll","given":"Greg","email":"","affiliations":[],"preferred":false,"id":711437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huntington, Justin 0000-0002-2699-0108","orcid":"https://orcid.org/0000-0002-2699-0108","contributorId":178785,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":711436,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191167,"text":"70191167 - 2018 - Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries","interactions":[],"lastModifiedDate":"2018-01-10T19:30:24","indexId":"70191167","displayToPublicDate":"2017-09-28T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries","docAbstract":"Wildlife-associated diseases and pathogens have increased in importance; however, management of a large number of diseases and diversity of hosts is prohibitively expensive. Thus, the determination of priority wildlife pathogens and risk factors for disease emergence is warranted. We used an online questionnaire survey to assess release and exposure risks, and consequences of wildlife-associated diseases and pathogens in the Republic of Korea (ROK). We also surveyed opinions on pathways for disease exposure, and risk factors for disease emergence and spread. For the assessment of risk, we employed a two-tiered, statistical K-means clustering algorithm to group diseases into three levels (high, medium and low) of perceived risk based on release and exposure risks, societal consequences and the level of uncertainty of the experts’ opinions. To examine the experts’ perceived risk of routes of introduction of pathogens and disease amplification and spread, we used a Bayesian, multivariate normal order-statistics model. Six diseases or pathogens, including four livestock and two wildlife diseases, were identified as having high risk with low uncertainty. Similarly, 13 diseases were characterized as having high risk with medium uncertainty with three of these attributed to livestock, six associated with human disease, and the remainder having the potential to affect human, livestock and wildlife (i.e., One Health). Lastly, four diseases were described as high risk with high certainty, and were associated solely with fish diseases. Experts identified migration of wildlife, international human movement and illegal importation of wildlife as the three routes posing the greatest risk of pathogen introduction into ROK. Proximity of humans, livestock and wildlife was the most significant risk factor for promoting the spread of wildlife-associated diseases and pathogens, followed by high density of livestock populations, habitat loss and environmental degradation, and climate change. This study provides useful information to decision makers responsible for allocating resources to address disease risks. This approach provided a rapid, cost-effective method of risk assessment of wildlife-associated diseases and pathogens for which the published literature is sparse.
","language":"English","publisher":"Wiley","doi":"10.1111/tbed.12705","usgsCitation":"Hwang, J., Lee, K., Walsh, D.P., Kim, S., Sleeman, J.M., and Lee, H., 2018, Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries: Transboundary and Emerging Diseases, v. 65, no. 1, p. e155-e164, https://doi.org/10.1111/tbed.12705.","productDescription":"10 p.","startPage":"e155","endPage":"e164","ipdsId":"IP-084895","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":346156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Republic of Korea","volume":"65","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-22","publicationStatus":"PW","scienceBaseUri":"59ce0a27e4b05fe04cc020fa","contributors":{"authors":[{"text":"Hwang, Jusun","contributorId":175221,"corporation":false,"usgs":false,"family":"Hwang","given":"Jusun","email":"","affiliations":[{"id":27539,"text":"College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":711385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kyunglee","contributorId":175223,"corporation":false,"usgs":false,"family":"Lee","given":"Kyunglee","email":"","affiliations":[{"id":27540,"text":"Cetacean Research Institute, National Fisheries Research and Development Institute, Ulsan, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":711386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":711387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, SangWha","contributorId":196739,"corporation":false,"usgs":false,"family":"Kim","given":"SangWha","email":"","affiliations":[],"preferred":false,"id":711388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":711384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Hang","contributorId":191778,"corporation":false,"usgs":false,"family":"Lee","given":"Hang","email":"","affiliations":[],"preferred":false,"id":711389,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191120,"text":"70191120 - 2018 - Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region","interactions":[],"lastModifiedDate":"2018-06-04T16:21:37","indexId":"70191120","displayToPublicDate":"2017-09-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region","docAbstract":"Sugar maple, an abundant and highly valued tree species in eastern North America, has experienced decline from soil calcium (Ca) depletion by acidic deposition, while beech, which often coexists with sugar maple, has been afflicted with beech bark disease (BBD) over the same period. To investigate how variations in soil base saturation combine with effects of BBD in influencing stand composition and structure, measurements of soils, canopy, subcanopy, and seedlings were taken in 21 watersheds in the Adirondack region of NY (USA), where sugar maple and beech were the predominant canopy species and base saturation of the upper B horizon ranged from 4.4 to 67%. The base saturation value corresponding to the threshold for Al mobilization (16.8%) helped to define the species composition of canopy trees and seedlings. Canopy vigor and diameter at breast height (DBH) were positively correlated (P < 0.05) with base saturation for sugar maple, but unrelated for beech. However, beech occupied lower canopy positions than sugar maple, and as base saturation increased, the average canopy position of beech decreased relative to sugar maple (P < 0.10). In low-base saturation soils, soil-Ca depletion and BBD may have created opportunities for gap-exploiting species such as red maple and black cherry, whereas in high-base saturation soils, sugar maple dominated the canopy. Where soils were beginning to recover from acidic deposition effects, sugar maple DBH and basal area increased progressively from 2000 to 2015, whereas for beech, average DBH did not change and basal area did not increase after 2010.","language":"English","publisher":"Springer","doi":"10.1007/s10021-017-0186-0","usgsCitation":"Lawrence, G.B., McDonnell, T.C., Sullivan, T.J., Dovciak, M., Bailey, S.W., Antidormi, M.R., and Zarfos, M.R., 2018, Soil base saturation combines with Beech Bark Disease to influence composition and structure of Sugar Maple-Beech forests in an acid rain-impacted region: Ecosystems, v. 21, no. 4, p. 795-810, https://doi.org/10.1007/s10021-017-0186-0.","productDescription":"16 p.","startPage":"795","endPage":"810","ipdsId":"IP-081770","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":346122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","volume":"21","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-18","publicationStatus":"PW","scienceBaseUri":"59ccb8a4e4b017cf314383d4","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Todd C. 0000-0002-5231-105X","orcid":"https://orcid.org/0000-0002-5231-105X","contributorId":196721,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":711287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":178217,"corporation":false,"usgs":false,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190984,"text":"70190984 - 2018 - Extensive shared polymorphism at non-MHC immune genes in recently diverged North American prairie grouse","interactions":[],"lastModifiedDate":"2018-02-23T11:17:40","indexId":"70190984","displayToPublicDate":"2017-09-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1974,"text":"Immunogenetics","active":true,"publicationSubtype":{"id":10}},"title":"Extensive shared polymorphism at non-MHC immune genes in recently diverged North American prairie grouse","docAbstract":"Gene polymorphisms shared between recently diverged species are thought to be widespread and most commonly reflect introgression from hybridization or retention of ancestral polymorphism through incomplete lineage sorting. Shared genetic diversity resulting from incomplete lineage sorting is usually maintained for a relatively short period of time, but under strong balancing selection it may persist for millions of years beyond species divergence (balanced trans-species polymorphism), as in the case of the major histocompatibility complex (MHC) genes. However, balancing selection is much less likely to act on non-MHC immune genes. The aim of this study was to investigate the patterns of shared polymorphism and selection at non-MHC immune genes in five grouse species from Centrocercus and Tympanuchus genera. For this purpose, we genotyped five non-MHC immune genes that do not interact directly with pathogens, but are involved in signaling and regulate immune cell growth. In contrast to previous studies with MHC, we found no evidence for balancing selection or balanced trans-species polymorphism among the non-MHC immune genes. No haplotypes were shared between genera and in most cases more similar allelic variants sorted by genus. Between species within genera, however, we found extensive shared polymorphism, which was most likely attributable to introgression or incomplete lineage sorting following recent divergence and large ancestral effective population size (i.e., weak genetic drift). Our study suggests that North American prairie grouse may have attained relatively low degree of reciprocal monophyly at nuclear loci and reinforces the rarity of balancing selection in non-MHC immune genes.
","language":"English","publisher":"Immunogenetics","doi":"10.1007/s00251-017-1024-4","usgsCitation":"Minias, P., Bateson, Z.W., Whittingham, L.A., Johnson, J.A., Oyler-McCance, S.J., and Dunn, P.O., 2018, Extensive shared polymorphism at non-MHC immune genes in recently diverged North American prairie grouse: Immunogenetics, v. 70, no. 3, p. 195-204, https://doi.org/10.1007/s00251-017-1024-4.","productDescription":"10 p.","startPage":"195","endPage":"204","ipdsId":"IP-079133","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469189,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00251-017-1024-4","text":"Publisher Index Page"},{"id":345915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.095703125,\n 65.69447579373416\n ],\n [\n -146.513671875,\n 65.5129625532949\n ],\n [\n -144.580078125,\n 64.20637724320852\n ],\n [\n -141.85546875,\n 62.91523303947614\n ],\n [\n -137.197265625,\n 62.3903694381427\n ],\n [\n -135.79101562499997,\n 62.71446210149771\n ],\n [\n -137.90039062499997,\n 63.58767529470318\n ],\n [\n -138.955078125,\n 64.51064316846679\n ],\n [\n -142.20703125,\n 65.40344478830781\n ],\n [\n -143.349609375,\n 66.01801815922045\n ],\n [\n -143.701171875,\n 66.65297740055279\n ],\n [\n -142.29492187499997,\n 67.23806155909902\n ],\n [\n -143.349609375,\n 67.87554134672945\n ],\n [\n -145.63476562499997,\n 68.17155518732503\n ],\n [\n -150.29296874999997,\n 67.30597574414466\n ],\n [\n -153.45703125,\n 66.33750501996518\n ],\n [\n -155.56640624999997,\n 65.14611484756372\n ],\n [\n -153.017578125,\n 64.28275952823394\n ],\n [\n -148.095703125,\n 65.69447579373416\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.82421875,\n 64.8115572502203\n ],\n [\n -130.4296875,\n 61.938950426660604\n ],\n [\n -126.91406249999999,\n 61.438767493682825\n ],\n [\n -124.45312499999999,\n 58.81374171570782\n ],\n [\n -128.671875,\n 57.136239319177434\n ],\n [\n -117.0703125,\n 54.77534585936447\n ],\n [\n -119.970703125,\n 50.792047064406866\n ],\n [\n -121.28906250000001,\n 48.28319289548349\n ],\n [\n -120.9375,\n 44.77793589631623\n ],\n [\n -122.34374999999999,\n 42.8115217450979\n ],\n [\n -117.50976562499999,\n 37.50972584293751\n ],\n [\n -110.12695312499999,\n 36.73888412439431\n ],\n [\n -107.75390625,\n 36.59788913307022\n ],\n [\n -102.65625,\n 34.45221847282654\n ],\n [\n -101.689453125,\n 32.76880048488168\n ],\n [\n -101.513671875,\n 31.952162238024975\n ],\n [\n -97.55859375,\n 25.562265014427492\n ],\n [\n -97.470703125,\n 27.293689224852407\n ],\n [\n -96.591796875,\n 28.459033019728043\n ],\n [\n -95.97656249999999,\n 28.76765910569123\n ],\n [\n -94.5703125,\n 29.22889003019423\n ],\n [\n -94.39453125,\n 30.600093873550072\n ],\n [\n -93.42773437499999,\n 33.50475906922609\n ],\n [\n -92.98828125,\n 34.161818161230386\n ],\n [\n -91.62597656249999,\n 35.460669951495305\n ],\n [\n -89.1650390625,\n 36.63316209558658\n ],\n [\n -82.44140625,\n 39.095962936305476\n ],\n [\n -78.046875,\n 41.376808565702355\n ],\n [\n -73.125,\n 46.800059446787316\n ],\n [\n -70.3125,\n 50.958426723359935\n ],\n [\n -71.3671875,\n 52.482780222078226\n ],\n [\n -75.05859375,\n 54.059387886623576\n ],\n [\n -79.8046875,\n 54.16243396806779\n ],\n [\n -79.1015625,\n 53.330872983017066\n ],\n [\n -78.3984375,\n 51.83577752045248\n ],\n [\n -79.453125,\n 50.736455137010665\n ],\n [\n -80.85937499999999,\n 51.944264879028765\n ],\n [\n -81.03515625,\n 52.696361078274485\n ],\n [\n -81.73828125,\n 54.059387886623576\n ],\n [\n -84.19921875,\n 54.87660665410869\n ],\n [\n -87.71484375,\n 56.9449741808516\n ],\n [\n -90.703125,\n 56.65622649350222\n ],\n [\n -107.40234375,\n 56.84897198026975\n ],\n [\n -111.4453125,\n 59.085738569819505\n ],\n [\n -112.1484375,\n 60.06484046010452\n ],\n [\n -122.6953125,\n 63.54855223203644\n ],\n [\n -124.1015625,\n 64.51064316846676\n ],\n [\n -125.595703125,\n 65.03506043658815\n ],\n [\n -127.529296875,\n 65.69447579373418\n ],\n [\n -128.935546875,\n 66.23145747862573\n ],\n [\n -133.330078125,\n 65.62202261510642\n ],\n [\n -134.82421875,\n 64.8115572502203\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"59c37e38e4b091459a6316f2","contributors":{"authors":[{"text":"Minias, Piotr","contributorId":168775,"corporation":false,"usgs":false,"family":"Minias","given":"Piotr","email":"","affiliations":[{"id":25360,"text":"University of Lodz","active":true,"usgs":false}],"preferred":false,"id":710820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bateson, Zachary W.","contributorId":168776,"corporation":false,"usgs":false,"family":"Bateson","given":"Zachary","email":"","middleInitial":"W.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":710821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittingham, Linda A.","contributorId":168777,"corporation":false,"usgs":false,"family":"Whittingham","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":710822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Jeff A.","contributorId":196578,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":710823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":710819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunn, Peter O.","contributorId":168778,"corporation":false,"usgs":false,"family":"Dunn","given":"Peter","email":"","middleInitial":"O.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":710824,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191912,"text":"70191912 - 2018 - Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States","interactions":[],"lastModifiedDate":"2018-03-26T14:34:07","indexId":"70191912","displayToPublicDate":"2017-09-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States","docAbstract":"This study compares four models for predicting the potential distribution of non-indigenous weed species in the conterminous U.S. The comparison focused on evaluating modeling tools and protocols as currently used for weed risk assessment or for predicting the potential distribution of invasive weeds. We used six weed species (three highly invasive and three less invasive non-indigenous species) that have been established in the U.S. for more than 75 years. The experiment involved providing non-U. S. location data to users familiar with one of the four evaluated techniques, who then developed predictive models that were applied to the United States without knowing the identity of the species or its U.S. distribution. We compared a simple GIS climate matching technique known as Proto3, a simple climate matching tool CLIMEX Match Climates, the correlative model MaxEnt, and a process model known as the Thornley Transport Resistance (TTR) model. Two experienced users ran each modeling tool except TTR, which had one user. Models were trained with global species distribution data excluding any U.S. data, and then were evaluated using the current known U.S. distribution. The influence of weed species identity and modeling tool on prevalence and sensitivity effects was compared using a generalized linear mixed model. Each modeling tool itself had a low statistical significance, while weed species alone accounted for 69.1 and 48.5% of the variance for prevalence and sensitivity, respectively. These results suggest that simple modeling tools might perform as well as complex ones in the case of predicting potential distribution for a weed not yet present in the United States. Considerations of model accuracy should also be balanced with those of reproducibility and ease of use. More important than the choice of modeling tool is the construction of robust protocols and testing both new and experienced users under blind test conditions that approximate operational conditions.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-017-1567-1","usgsCitation":"Magarey, R., Newton, L., Hong, S.C., Takeuchi, Y., Christie, D., Jarnevich, C.S., Kohl, L., Damus, M., Higgins, S.I., Miller, L., Castro, K., West, A., Hastings, J., Cook, G., Kartesz, J., and Koop, A., 2018, Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States: Biological Invasions, v. 20, no. 3, p. 679-694, https://doi.org/10.1007/s10530-017-1567-1.","productDescription":"16 p.","startPage":"679","endPage":"694","ipdsId":"IP-073167","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}\n","volume":"20","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-19","publicationStatus":"PW","scienceBaseUri":"59e86834e4b05fe04cd4d1e7","contributors":{"authors":[{"text":"Magarey, Roger","contributorId":197512,"corporation":false,"usgs":false,"family":"Magarey","given":"Roger","email":"","affiliations":[],"preferred":false,"id":713655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Leslie","contributorId":197513,"corporation":false,"usgs":false,"family":"Newton","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":713656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hong, Seung C.","contributorId":197514,"corporation":false,"usgs":false,"family":"Hong","given":"Seung","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takeuchi, Yu","contributorId":197515,"corporation":false,"usgs":false,"family":"Takeuchi","given":"Yu","email":"","affiliations":[],"preferred":false,"id":713658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christie, Dave","contributorId":197516,"corporation":false,"usgs":false,"family":"Christie","given":"Dave","email":"","affiliations":[],"preferred":false,"id":713659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kohl, Lisa","contributorId":197517,"corporation":false,"usgs":false,"family":"Kohl","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":713660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Damus, Martin","contributorId":197518,"corporation":false,"usgs":false,"family":"Damus","given":"Martin","email":"","affiliations":[],"preferred":false,"id":713661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Higgins, Steven I.","contributorId":197519,"corporation":false,"usgs":false,"family":"Higgins","given":"Steven","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":713662,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Leah","contributorId":197520,"corporation":false,"usgs":false,"family":"Miller","given":"Leah","email":"","affiliations":[],"preferred":false,"id":713663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castro, Karen","contributorId":197521,"corporation":false,"usgs":false,"family":"Castro","given":"Karen","email":"","affiliations":[],"preferred":false,"id":713664,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"West, Amanda M.","contributorId":139058,"corporation":false,"usgs":false,"family":"West","given":"Amanda M.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":713716,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hastings, John","contributorId":197552,"corporation":false,"usgs":false,"family":"Hastings","given":"John","email":"","affiliations":[{"id":34952,"text":"Center for IPM, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":713717,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cook, Gericke","contributorId":197522,"corporation":false,"usgs":false,"family":"Cook","given":"Gericke","email":"","affiliations":[],"preferred":false,"id":713665,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kartesz, John","contributorId":197523,"corporation":false,"usgs":false,"family":"Kartesz","given":"John","affiliations":[],"preferred":false,"id":713666,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Koop, Anthony","contributorId":197524,"corporation":false,"usgs":false,"family":"Koop","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":713667,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ]}