Sem Wildlife Fisheries Sci
Sem Wildlife Fisheries Sci WFS 512
Popular in Course
Popular in Wildlife and Fisheries Science
This 109 page Class Notes was uploaded by Emile Upton on Monday October 26, 2015. The Class Notes belongs to WFS 512 at University of Tennessee - Knoxville taught by Matthew Gray in Fall. Since its upload, it has received 24 views. For similar materials see /class/229839/wfs-512-university-of-tennessee-knoxville in Wildlife and Fisheries Science at University of Tennessee - Knoxville.
Reviews for Sem Wildlife Fisheries Sci
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 10/26/15
Characterization of Light in Forest Stands 1 Following Silvicultural Treatme Stephen F Graysnn ESSEZK39L39ZKZ pm neommuy wmv and ram Introduction Light I Photosynthesis I Photosynthetically active radiation PAR wavelengths of 400700 nm Dnoen mm DlnxJ L WMN Enum Introduction Silviculture and light manipulation I Known cutting increases light I However differences in composition and vertical canopy structure may lea different amounts of PAR with application of the practice same silvicultural Introduction Increasing number of ecophysiological studies are leadin to quant cation of PAR target levels for indIv d al species Introduction Managers need a way of relating specific PAR levels to mor practical field measurements such basal area The strength of relationships between PAR and variables such as basal I area and canopy cover ma ange across forest types and 9 silvicultural treatments Introduction PAR light measurement Instantaneous short term measurement Integrated cont39nu us measurements over long duration Introduction Temporal variability is the key How this variability changes over different forest types and stand structures is not well documented Introduction Ecological impacts of forest management practices Does active forest management simplify composition and structure and lead to reduced heterogeneity in habitats uNcuT STAND SHELTERWOOD WITH RESERVES T 4 E msu mme mzwummv REuucEu mum mzwusmw mw HDRlZDNYAL mzwumaw mm l vzwumvs 5mm mzwumzw w man Obiectives To investigate the hypothesis that implementation of silvicultural practices results in reduced heterogeneity in understory PAR Oblectives To compare the degree of spatial and temporal heterogeneity in understory PAR across multiple silvicultural treatments and controls Obiectives To compare the strength of relationships between PAR and canopy cover PAR and basal area and canopy cover and basal area across multiple silvicultural treatments and controls Study Site Daniel Boone National Forest KY Methods Four silvicultural treatments and controls Methods Shelterwood with reserves 1015 ft1ac residual basal area to create a two aged stand Methods Oakshelterwood 6075 ftzlac residual basal area herbicide to reduce understory stand density Methods Thinning to the Blevel of the Gingrich Stocking Chart tree vigor and crown class will be the basis for marking removals Methods Woodlandthinning 3050 ftzlac residual basal area after cutting with prescribed fire for long term maintenance Methods Controls no treatments Methods Data Collection Canapy caver Digital Plant Canapy lmager clnlnc0amas Methods Data Collection Light PAR Accupar Ceptameter Decagon Devices Pullm an WA Photosynthetically Active Radiation PAR Ceptometer in open to calculate n Full PAR Values measured in umolmQS391 Photosynthetically Active Radiation PAR FAR samphng meme mieruiy and wideAugust Measurementstaken m 2 huurtime spans murning nuun and afternuun Measurements centered aruund suiar nuun Photosynthetically Active Radiation PAR mam t 30pm 39 lam1130am Noon 1230pm230pm Afternoon 330pm 530pm 1 hour 3931 Damn newsquot any n Puma Potential Analysis Techniques Computation and comparison of variances across time periods and treatments Potential Analysis Techniques I Kriging is synonymous with quotoptimal re tion Journel A and CJ regts 1981 It is a method of intnrpnlatinn 39 39 39 unknown values from data observed at known locations Kriged groundlevel gap light index GLI spatial patterns in longleaf pin follo i vicultural treatments Eattaglia et ai 2002 FWF Semmar merA Biobased Composite Materials from Macro to Nano Scale Lessons from Nature and Histong De u him of Sr itquot e hnp Hm dschunnxy cum bsexvnhm xdenh uhun descuptmn expenmenul mvesngmm mdmm ucal 2 1mm Diphennmena uch chm namle 39hm umgm Sn Ice The science is to nd ou whal have bee done What Top Joumale Top journals Isaac Newton 1643 1727 Universal gravitation How Pine Cones upquot How Pine Cones op The scales of see dbenring pine cones move m response to changes m relative humidity The scales When is damp me scales close L3 The cells h n J s the meckm39s 39 mniure cone are dead nssive Snnc rule Linn n mlun null null t quotMW m Pine Cones open NZUIIE 390 668 18 December 1997 coLm DAWSON JULIAN F V V39JNCENTI mum MARIE RoccA1 x 12931 fumermmatjcsl 11mm DEqudmg Rudmg R96 EAT UK How Pine Cones Open How I ulo Co es 0pm b Guph plumngthe angle 1 ml makes to ch hm of the expenmenul 1991A ngmst lemva human I Wquot mm m m quotm lt n Mm WW u m How Pim Cones Jp9n c d Scnnmng electron mxcrogmphs r n m 1 a the mgge between the long axis g3 Lbs can mdmgdxmg no 3 L What is Nano What is Nano What is Nano What is Nana Malth mmm The Scal nl Thlngs Nannmotor and Ilan Thlngs Mam ado s Things NaturI mmmmn Can we run a car on a human hair Scientists build world39s first single ar N atural Materials Diamand Carban Fiberfar Campasites Carban N anatube Jane s 51mm an em e aam mum gt1 mu 3 WEDpound Mum savnngevman eet 1 mn me wenm Polymernanoclay composites The thickness of y in the 6393M composite is about lnm surface area 750m2g Nano Application NanoiBarriers Biorenewable resources also known biomass are organic materials of recent biological origin I Vast majo ty of the World s biotenewa ble resources forest Prairies quot dfishefie s rm 2 Natural Materials Silk Nature s nyluns sllk berfrum 5pm r r Cummu dl even Slmng lnu h a Elasm n uvbrweavmg spldevs 5le as many as seveval sunMal g l laments amngme web Hypes ulsllkhbevs each animal m the spldev s mevmk mamemsmal summmhe Web that absnvblhe mm enevgv nlmseds Agaesgmy mammaer p muungu malwrap nwwwmcw Miler a Natural Materials Silk fiber Nature s nylunsr 5 uymevs st m hrpevluvmance natural Tenle wenmhlwntntmeetlmesmeatev n51eel Elnngallnnrtnrbreak valm appmacmng 3B was gum Cellulose micronanofibril a Iinhtrueinht hinh strennth alerial for composites lo researchers Wood combines high strength and elasticity which are from the composite structure of its cell walls Nanostrutural composites with cellulose nanocrystals Nanomaterials are riariOsCale materials With structural feature of at least Orie dimension in range i400 nrn Ceiiulose nanocrystals could be prepared by acid hydrolysis or various Woody based materials or riorvvood ceiiuiose materials Micronanofibril reinforced Tensiie properties Modulus and strength molding Mat Why forest products industry sector Lignocellulose is among Nature39s most a A I use and functionality for nanomaterials is largely unexplored TheForestProductslndusf Seoto sla ely quot39 L 51M Why forest products industry sector Most wood products 70 go to residential markets consum or 35 dam mm mm nae Why forest products industry sector Woodplastic composite is a very promising material Campasite Research Graup at TFPC smegma kine cs nfwageg wpox sorp on of h V Nanaindentatian Instrument and Indentatian Pracedure Wand Cell Wall Lablally Pine W Em munmmwml Composite material developing and processin n natmal bcrrcinfoiced advance 39nslrumeqts edle Production of improved oriented strandboard using the extracted akes H Profitable and Stronger We nave invented a nanutecnnuiugy basedtecnnidue te aiiuw iniiis te pruduce iignt Weigntwuud en metered pmducts suen as 053 and OSL usin existing ween Species ur using ieasrdesirabie and nign density nardwuud species suen as uak Tutai Saving peryear per iniii ranges train 2 A iniiiien duiiars tn 9 7 iniiiien duiiars ifthEy adupttnis technique Tnis inventiun uuid be appiied td utnerwnnd eempesites pruductiun suen as paniciebuard anurinemeam as Weii Tne UTResearcn Fuundatiun is ring a patentappiicatien entnis inventien Foresuy Wildlife and Fisheries Gmduzle Seminar DZmand for Wildlife Hunting in th39eISOutheastern Uni 39 State I Presented by Nedam c Poudyal 7 7 Monday 17 gem 007 440 PM 160 P1313 Introduction Hunting has made significant social and 39 39b tion economlc contrI u g 20 billon in 2001 US Fish ampWildlife service 2001 Economic effect of hunting greater than some state s major cro s g Peanuls in Georgia IAFWA 2002 Multiplier effects equipment transportation accommodation 39 l Int39roductio 7 Growing concern of decline in hunting license sales Anderson etal 1985 Sun eta 2005 20 o decline in number of hunters nationwide in last two decades 15 million in 2002 to 147 million in 2003 mm mm mm mm mm mm y m C39L Species managanml Gama managemenuuui Re Fiiendshiu r admun AV INLr L intf ductlone 39 e r Dec ne ense sales Q i Ecunumlc e ess uueiatmu budget rm auenties g Eculugical eflect OVEVDDDuiatiun er ennuis sueiai Ellacl r Humanwidiie Curi itt qu deniedatiun Hiahwav EDHiSiDH hun ng ziemei at Biuwn and ai W i Cunnei Y1994Teisieta 1999Mehmuud etai ZEUS Sun et 3 ZEUS Essenh39al m undasimd what in uences hunting demand Pruiec ng huw the lulure ulwildlile hunting will like has nut been a iueus ui preuiuus smdies Objectives 39 To develop an economic demand model for the wildlife hunting To detefmine what affects the demand fol wildlife hunting in the southeastern United States To project the demand for wildlife hunting in the region for next few decades h Empirical Model Following Sun et al 2005 Anderson et al 1985 a loglinear demand model was used 1nY uZk kX 8 ln Yis a N by1 vector ofthe natural logarithm ofthe number of licenses sold in counties x is a N by K matrix of the explanatory variables N by 1 vector of independent and identically ributed random errors 39Empirical Mp39fiel Hete 5 da i white test of lromoscedasticity was rejected chi Squafe value 416 11 df 169 p lt 00001 r FGLS estimation Greene 2002 8 X 2quotXquotX 2quoty where the term 9 is an be Ndiagonal matrix of error term i Cut off point 10 V15 117Rk2 Study Area Soutlleastel n United states Hunting is the major consumptive outdoor recreation Lamar and Donnell 1987 Fastest growing region in terms ofpopulation growth and urbanization Reynolds 2001 Analysis units 1066 counties from 10 states Aiabama Loulsl aria Texas Variables and Data ources Va ables Sources bles Sources Dependent Residentilcense 501d State Agencies Explanatory Llcerlsefee USFWS Popuiatlon US Census Personneimcome USCenSuS Commutetlme USCenSuS Empioyment us Census Pubileorest o NORSls Low education us Census Private roresl NORSiS College graduate us Census Cun Ciubdummy NORSiS Age 16734070 05 Census Amusement Sls Age 3565M nsus SmgiemaieParentHH USCenSuS Caucasian Wu US Census Empirical Results Variables Parameters Variables Parameters intercep 1710 m Socioeconomic variables irlllcerlsefee 0 204 irlPopuiatlorl 0 516 m irlPersorlai lrlcome 0 312 m commute tlme 0 011 m Empioymerlt 0014 m Pubilcforest 0019 m Low educatlorl u 0 012 Prlvate forest u 0 003 m Coiiege graduate u 0 037 m G 0 254 m Age16 34 0 004 Amusement 0 008 Age3565 0019 quot Slrlgiemaie ParentHH 0041m Adl R Square 0 3 Caucaslarl u 0 013 m N 1066 DemandPrejectlon v i Simulate future hunting demand undei a numbei of assumptions about explanatory variables Demograpth change lnsumuonal nges Es rrnated ssion parameters fiom the structural model d to the projected values of the are p explanatory variables i1egion39s demand projection over fiveyear intervals fiom 20002030 Simulation v Projected values interpolauonexoapolauon asmmpuons Demand Projection i The region will experience a slight decrease in hunting demand fioln 2000 to 2030 Demographic ch Dernand W 2030 would be 5 35 mlHlol i W the reglol l which is about 9 e55 than mat of 2000 Bowker English a CordeH 1999 forecasted nauonal hunung paruclpauol l to decline by 11 from 1995 to 2050 Expected decline in hunting demand can be attributed primarily to a structural change in demographics Decrease in foresiiand in he area A signi cant change in demographic structures and loss rest areas particularly those under private ownership Browning Ageing Forest land loss Demand Projectio ii Alternative Scenarios 7 increasing rate of popula on growlh e aster rate of Hispanic growth 7 increasing uibanizaiion and land use change t e Decreasing access to ioiestlands 7 increase in elderly and young population D mand Projeq on agin mgs 570 5 s 5 77 m 545 523 511 4 551 550 539 525 555 541 525 515 mm hene lulgluhudunmumdx Ind Hmher Pnuulzllnn Ernwlh Pvmlhnm memulzzmummemmhmhu lntr Mlnnrlly my share wm umhe5 lly1nznmdun5mhuum mama duhgnu an awn xxml 2m mueased mm a Eldaly Emamm In ssmmwwmmmmm iai BMW a x a i quotum um r M u 1 mm L M um zxxumvllon Conclus39on Sududemugrpah data aggregated at uunly leve can be cumbined w m landus urmah39un m expl gamma lur wlldllle hunung decline by 9 mmugh zuau pupulah39un pah39culariy nunw es md an age sh n magma25mm 50 hp csuucncncncscn mmwmmwm map 4 Southem Water Wars Whisky is for drinkin39 water is for ghtin39 mu Pmlemnre Pnn camlnlale Serum Semlnar arch 2 2nna 12 2n 71 1n Inn Rnnm125 Psa Current State of Affairs ls Atlanta to Blame Failure of Current Government Institutions and Localities The New Environmental Conllict ACF Apalachicola Chattah oochee lint 39 Alabama Coosa Tallapoosa we are WE belmli normal d s l li 4 Nov 1 US Interior Secretary Dirk Kempthorne meets in Washington with governors of Georgia Florida an Alabama to start water sharing talks Dec 17 Meeting ofthe governors of Florida Georgia and Alabama 39n Talllahassee Florida to discuss water sharing Jan Georgia Water Policy Council deadline for sending the Legislature a proposed statewide wa er lan Jan 14 Geor ia General Assembly convenes and issues inc ude state39s rst water use plan MidJan Staff from Georgia Florida and Alabama to meet in Washington to hammerout details of a water sharing agreemen Feb 15 Governors of Alabama Florida and Geor ia announce whether the have reached a nego Iated settlement to their 1 year water war The missed this deadline Georgia Gov Sonny Per ue said he thinks the th s ates may be ree able to brokera deal by March 1 min Feb 25 Northwest Georgia water of cials to meet at the Forum with state Environmental Protection Division on water use restriction olicies March 1 Interior Secretar Dirk Kempthorne says the talks have failed eds will develop their own solu io r e three states to share water Corps of En Ineers begins rewriting interim agreement e new Corps agreement for water sharing among the three states would replace the existing temporary agreement that is set to expire June 1 e 1 nterim agreement on ow levels set to expire fno settlement reached before then 4917717 in the 28county Atlanta Metropolitan Statistical Area designated by the Metro Atlanta Chamber of Commerce 3813700 in the 10county Atlanta region 429500 in the City of Atlanta Atlanta Georgia population of the metropolitan area is predicted to be more than 55 million Bartow 76019 to 91266 Cherokee 141903 to 195327 Cobb 607751 to 679325 DeKaIb 665865 to 723602 Forsyth 98407 to 150968 Gwinett 588448 to 757104 2000 v zols POMAHWN 6mm The key output of an agency regulation is framed in a political environm n ma 39 that portant to withstand legal attack than scienti c scrutiny Wilson 1989 Governmental institutions are working within a 39amework ofa ule d deterrence model Fiorino 2006 Policy is being guided by what is best for my state not by what is best for the people and ecology of the water basins The states view water as a captured resource therefore policy decisions are made in accordance to this view This dispute has been going on for 17 YEARS ll Local groups are do not trust federal or state ability or capacity to solve these issues Sense of ownership They are not deserving Reintroduction of Native Fish Species to Coal Creek Introduction B ackground B ackound Blast sh species 271 399 sun 9 sedimentau ou and water quality problems Reintroduction Specie s getspecies Opportunistic511 collected species Benefits Objectives Methods Collectio u Common method for sh collection Usu y ef cient Involves less handling of sh chk one mus stress Current mono vo w conduct 7 Collection C ollection mij m 5 as Tagging Release M onitor A habitat model pre 39 39 Cerulean Warbler Dendroica cerulea str ution in Central merica during Spring migration A brief glimpse at Cerulean Warblers Nearctic Neotropical migrants Breed in eastern North America Canopy nesters and foragers Appearto prefer structurally diverse canopy with interspersed light gaps Status The rangewide populati n ofthe Cerulean Warbler has been declining steadily for the last several deca es Petitioned to be listed as a Threatened Species in 2001 Declared not warranted39 to be listed on 12506 Con se rvatio n efforts Proposed factors contributing to decline on all parts oftheir range fragmentation and loss of hab at Cerulean Warbler Technical Group formed in 2001 El Grupo Cen39Jleo 1 Objective To predict suitable stopover habitat for the Cerulean Warbler in Centra 39 a by develo ing a Mahalanobis D3 habitat model forthe 39 tudyArea V quot Field Methods Surveys for Cerulean Warbler presence 2004 Belize 2005 Guatemala and Honduras 2006 Guatemala and Honduras Validation of mod April 2007 Chiapas Mexico Guatemala and Honduras Methods Acquire variables Elevation 793 Average solar exposure Mean temp for April mm Mean precip forApril lemH r Precip forthe wettest quarter lHHHHH Temp forthe driest quarter mm 7 Tree cover My Model Development Conduct PCA with a PVA to determine the best 2 of 19 available bioclimatic variables 1 Cerulean alan obis A 39 a a 39 1b Variablzcounl ted in 2007 Results Table 1 Summary statistics for explanatory variables used to model Cerulean Warbler habitat 39 entral America Etrulun mmquot lumllons sway Av e 5 Range v 394 Resu Its Model Validation Table 2 Results from logistic regression analysis 3 present absent Coel cienl P Rescaled R2 24 60 o 0415 0093 00697 Sensitivity 958 proportion of correctly predicted presences Discussion Model adequately predicts Cerulean Warbler presence in Central America during spring migration Continued monitoring needed to further validate del Future direction 39 Discussion Support current conservation efforts and enable longterm independent monitoring 7 Fquot quot1 Management implications Use model to locate priority areas for conservation action IMPACTS OF A 4LANE HIGHWAY WITH WILDLIFE UNDERPASSES ON BLACK BEAR SPATIAL ECOLOGY IN EASTERN NORTH CAROLINA i Matthew MCCOllister M S Candid t Department Of Foreshy Wildlife and Fisheries Universitv Of Tennessee Introduction Growing infrastructure network Potential to affect large carnivore species VehiCe collisions Low reproductive rates Introduction Effects Of highways on wildlife Direct mortality Direct habitat loss Displacement and avoidance Habitat fragmentation Reduced genetic exchange Associated human development Mitigate lmpacls VWildlil39 39 nur Justification Human development will continue Objectives Determine if a change in spatial ecology is present Determine the effectiveness of wildlife underpasses Study Area Study Area Agricultural crops Forested land Limited human development Methods Livetra pp ing Methods Methods Rad intelemetry Methods Calculation of Spatial Variables Homerange analysis Shortterm movemenls Methods bitat analysis Habitat selection and modeling Habitat variables Methods BeforeAfter annelImpact Study design Methods Analysis of variance with repeated measures Betweensubjecs factor Wifhinsubjecls factor Additlona factors Methods Track Camera and Road Kill Surveys Track counts Camera systems Roadki survey Preliminary Results Trapping Treafment area Conh39o area Telemetry Treafment area Conh39o area 4252009 Multiple effects offerest managementon ceruleanwarblersintheAppalachian mountains tened Desimatedwlnembleorthma mm P WV Pe tioned arfedemlpmtec onasa threatened speciesiniooo 4252009 Cerulean narblers Range Mmtmmmry immhhn39m Cerulean Warbler Habitatnssneiatiens V r 2 n a I 39 n Muehnarra ilityanduncertaintyantnwhatinthe l hivhert ualityhabitatfanERtt Entttnnlnntm e 11 39I ttr rtdgetrnn jtnt nan netreent ttt39tenrennretn et hntnntnlnrant Fnrest Quantitr Forest Quantar Hen may forest management affertCERW Can nennprnne quart of habitat nsingferestmanagement 4252009 Previous research Densitnnnnffected orhigner in areas where certainsin criptions applied Wni Lack pietreatment data nepiicaiion metrics other than abnndanceniienamined iessthaniineenearsofdata Cnnidprnd 39 en ee npnlntinn s in i i C ir pS iiinininnnnniHinninjnni n e leg 2 Reproductive Success and Productivity Deereaseniiernninraidisturbance 5 m Llni inn 1 V Forest management coud aso influence n The distribution of individuals basednnbirdqualityplumage i Highquaiinnhennilnnnnmemed L 39i na ihighqnniini iiiibiiais iiniinienge nee 4252009 bloat is quality Ann dnaraoteristieltlrat is directly related to tness re srrnnnal or reprodnetron Measures ofindinidnal quality SizelBodnCondition Pronisioning rates Reprodrrotinesneeess yes lrnrnnnesnsternlinntion Age Plnrnage and bird eorrelatedornrn Birds and brighter tail spots obtairn territories inn rnangrones drrller birds obtairr territories in seeondanr g ontln This srrrgests tlnattlre highest qrralitr nabit ti tlne nnangrone lrabitat wlnidri supported brother studies as well 1 To elalnate effects oflarions tines of management on CERW abnndaneeandreprodnetnesreeess alTo assess relationships among ornarnentation indilidnal qnalitn and habitat of eernlean narblers 3Tonneasnrerelatiornslri sarnong lrabitat territorn size and parental belranior of eerrrlearr narblers AMWMWMWMWMM WmmMmmmmm TWMMWWWWMWW 1 WWWMWMWWMMMW thwWWWMMM mm MWMWMWWa 10h humanCalm 1m Iltermed39lte ml Pluts embedded within mted landmpe 4252009 4252009 4252009 HeathtBA72tt2m2ha bundanceDensity Spot mapping Following methods of Bibbtt1992t Eithttisits to each plot Record locationsand tem39ton39albehatiorof all male CERW Delineateten39itories and determine density ofCERWineach treatment productive Success Nestsearching and monitoring ttosttaluable if test found in buildingstage Find fetttalese t lt ttonitornest eter 13 days using spottingscope Determineoutcmne engingt male associated 4252009 ParentalBehaniorNestlhdeotaping lldeotapecllnestsbetneen days 69 of nestling stage too hours Recordollparentalhehonor dataltlnnespent pronslonhgbroodlrngleecl snelrrenonnlete nnole enern 1 min tor 30 min Flog locations and record nitln GPS later inn don hlopeochbinlotleostn tnnnnes Use 95 hernel method for letennhning territonn she Homhngeihlnnny hleosnrehlossning lengtlnenposeclcnhnen hreosthonlnnlth Collect 10 nnnpl no cronn onlnlleltrectrnlentlner Teledigitolphotosoltoil spots easthonlnnrl ero ll39ll 4252009 Hahitathteasnnenents ht each nest tenntnnn andtnentnrandnn heathnshpht thannpjncnnentat nations forest tenets DBH of in trees and otherhahitatnanahhes cannnenaandnanianslights anahnednsnnghnageJ from NIH h nt h c h J n FeathencahnOcean h Optics Spectrometer Tanlspntaneatnage Hue nanehength of highest re ectance x ht Chroma ht Rehectannce n from 320400 nnn BlneGneen Chroma a fn0111400525 Inn D BnightnessTatal re ectance across ah nanelengths n a The Effects of Timber as a Biofuel on the Occupancy and Habitat Suitability of the Indiana Bat and the Gray Bat in Tennessee Introduction National Security Stimulate Local Economies Tennessee described as quotSaudi Arabia of cellulosequot Introduction Wu 1mm magnum an Yam 55 Quadrillim am Wm quot 7 quot law 0 Introduction Biomass Includes Introduction Potential Negative Impacts of Bio JeI Production Decreased Site ProductivityDecreased Soil Conservation Increased Carbon Emissions Decreased Biodiversity 1 Introduction Purpose The goal of my research is to determine how utilizing timber as biofuel will affect the quality of Indiana Bat and Gray Bat habitat in Tennessee Objectives Determine both current and potential logging residue availability in TN 2 Determine suitable habitat for both the Bat Indiana Bat and the Gray 3 Determine areas occupied bythe Indiana at and Gray Bat 4 Determine areas ofco cern b comparing bio Jel productivity with key bat habitat Methods tilize FIA data to determine annua logging residue availability and removals in Tennessee by coun y Multiply annual removals by 65 to ermine annual logging residue availability for biofuels Perlack et al 2005 Locate areas within the state with the highest removals 1mm no m5 amuwmn p Wm E m Methods Determine most important habitat characteristics for Indiana Bat and Gray Bat n 3 7 M r l ll Determine suitabl It on a scale of to 1for each ofthese characteristics and create layer in GIS Model Habitat Suitability in Tennessee to determine ideal habitat for Indiana Bat and Gray Bat using G S Methods Methods Methods Conduct Occupancy Model in Program MARK with 25 occurrences 4 repeats and the following covariates39 Time of ni ht Average temperature Average precipitation Each Habitat Suitability characteristic from my model and exis ing m The overall Habitat Suitability Index Methods Determine Occupancy Model with best t Lowest AIC model C ate new habitat suitability model u most signi cant covariates from the occupancy mo Methods Compare new Habitat Suitability Model with current model ofbiofuel productio Create forecast model of io ue production and de e f 39 e how this could affect the habitat suitability of the two species in the m ure Acknowledgements Dr Donald a Hodges Dr Lis Muller 8272008 Reg use Kentucky Reservoir A Proposal Smeilled to the University 77 to 90 million hectares 200 million acres lZ million hectares 100 million acrs y e in decline 8272008 Mantva Smith 2qu Rankin auuums WMA Duuglas Reservuir 8272008 1 Determine dates and expusure ul mud als 8272008 2 Quantify use and activities of waterbirds on mudflats Scan each mudflat 2XIweek Permanent survey point u Between sunrise and 5 hrs after sunrise Methods 3 Quantify use and activities of waterbirds on mudflats Instantaneous activity of 5 individualsspecies Twoindividualsspecies monitored forwonewcontinuousirninute 8272008 4 Quan r Quannr may Vegelaliun Quanm mind Jun abundami lnvsnebrales and Seeds 8272008 4 Quantify shorebird habitat characteristics 3 Quantify food resource abundance 0 39 are sample transect 3 Quantify food raource abundance are sample tmnsect QENgm a 282 mgasa A f 08 282 mgasa 0 95538 Essa 38 FA 5 Em 33 a gsagm 9339 E 230 ma 30 p g 33st a an o a 3 mg 2 252009 People Politics Money Work outdoors Hunt amp sh all the time Waterfowl Association Policy Associate Wildlife Management Institute Washington DC Asst Chief of Wildlife Arkansas Game amp Fish Commission SE Field Representative WMI AR NBCI Coordinator 252009 Wildlife Management Science amp Experience mnemm 1984 POPULATION ECOLOGY OF THE BOBWHITE ROSEEERRY amp KLIMSTRA 1984 BOBWHITES IN THE RIO GRANDE PLAIN OF TEXAS LEHMANN 2007 TEXAS OUAILS ECOLOGY AND MANAGEMENT BRENNAN w la Bewick39s Wren Field Sparrow Prairie Warbler Eastern To ee Bluewinged Warbler White hroated Sparrow Indigo Bunting Chestnutsided Warbler Song Sparrow Common Yellowthroat the main problem Vacant habitat 3 HensloWs Sparrow Grasshopper Sparrow Bobolink Ringnecked Pheasant Savannah Sparrow Homed Lark 252009 252009 IKE NATIVE SPECIES IN LONG DECLINE 7 PRIMARILY NABrrAT PROBLEMS 7 uMEROuS DECLINING quotNEIGHBORSquot DIFFERENT RESIDENT NATIVE SPECIES IN LONG DECLINE 7 PRIMARILY NABrrAT PROBLEMS 7 NUMEROUS DECLINING quotNEIGHBORSquot DIFFERENT RESIDENT 23933 FIIILLLIIIIAIC QCF 252009 MmMoom 353022 m0 mltltIm A ltgtzgt0mltmz v uugtltmxm 252009 BOBWHITE CONSERVA110N LANDOWNER Habitat objectives Dawning of regional leadership for resident game conservation m u 39 OU39I ITEAS39I ERN NORTHERN BOBWHITE CONSERVATION INWIAHVE Many resource successes Much human progress Many lessons learned 252009 ho Leads Steers Is in char e Keeps the flame Coordinates implementation SEVERAL SONGBIRDS BENEFIT CP36 LONGLEAF PINE INITIATIVE gt 64000 acres 3 20 STATES AIMING OTHER FARM BILL AT BOBWHITE HABITAT GA NC 18 STATE QUAIL INITIATIVES IN 2008 TX OK LA AR MO MS TN KY FL GA SC NC VA IN KS IL NJ PA 2 OFFICIAL NBCI SUCCESS STORIESquot SCOTT COUNTY MO CASS COU TY MO 252009 LOWHANGING FRUIT SEIZED UNPRECEDENTED PROGRESS QUICKLV LONGTERM CHALLENGE REACHING HIGHHANGING FRUIT A Model for Bobwhite Conservation Successes of the Future 252009 Cultivation should not be brought close up to terraces hedges or thicket cover where uail are desired in abundance but should be eld back a few rods for such border cover furnishes one of the most productive and favored feedin grounds of the bobwhites Holding cultiva ion back from thicket cover is an im ortant measure that can benapplied on any farm where quail are desIred Herbert Stoddard 1931 The Bobwhite Quail Its Habits Preservation and Increase on larue scale Fish and W To provide leadershi among 16 southeast states int e conservation and restoration of Bobwhites 252009 1993 mm hamupmniupmpnsad in Continuous Consultation R5 isywmmm gnu 39 ran annuss39yled 11 p one lobbying main had in Washington 252009 SEQSG gave NBCI briefing ta Cangressianal Spartsmen s Ca 39 39 n DC Enthusiast recep n myriad offers of help SEQSG selzed appartuni Drafted Farm Bill proposal on the spot Conference Report L age the Managers furtherfind that many canservatian pragrams a this Farm Bill have large patential ta cantr ute ta abwhite Quail habitat abjectlves and encaurage the Secretary ta suppart the gaal af restaring habitat far this speciesquot Breck Carmichael SC DNR thru Spr 9 Dan McKenzie WMI Autumn 2004 to present 252009 SEQSG reproposes quotBobwhite Buffers Initiativequot 24 partners signed on Multi le meetin s calls letters followups all around Washington DC Numerous levels br hes of overnment bobwhite buffers initiative Native vegetation 250000000 USDA investment Quail are primary purpase Best and biggest pragram ever far Babw tes January 2009 gt201000 acres enralled 252009 SI LOUIS MISSOURI AUGUSTI9 31 2005 252009 SCIENCE NO LONGER IS THE KEY BARRIER TO BOBWHITE RESTORATION PEOPLE ARE THE KEY BARRIER AND 7 3 DDZEN STATES 252009 SEAFWA DIRECTORS NBCI COMMITTEEquot EDRIGINAL NECI OVERSIGHT GROUP IN 2005 EMAFWA NEAFWA REPS INVITED 2006 NBCI TRANSITION BOARDquot 2006 E FULLV RANGEWIDE GE SOON L STATUS To EXPAND SooNAFTER IDE PARTICIPATION NEEDED A NEAFWA ALL STATES FEDS N605 A 252009 NATIONAL OPERATIONAL CENTER NEEDED BUT NO IDEAL HOST SEAFWA ISSUED PUBLIC RFP 7 IN 7 MAY 2008 UT SELECTED AS EESTFIT HOME DETAILS BEING TEN W 7 FACU v STATUS FOR NECI COORDINATOR 7 CONTRACTS 7 BUSINESS PLAN 7 ACCOUNTING PROCESSES 7 MARKETING STRATEGY COORDINATOR LONG TERM OUTSIDE MON EY TO HIRE FULLTIME STAFF EXPERTS FOR EACH OF THE SEQSG COMMITI39 S FUND REGIONAL NBCI PROJECTS TO AID STATES 252009 252009 um um 19 252009 FEDERAL RANGEWIDE JOINTVENTIJRES STATES LOCAL LANDOWNERS llllll If 252009 21 252009 POPULAR SOCIETAL MOVEMENT NECESSARV FOR ULTIMATE SUCCESS 252009 O R MAV 08 SEAFWA DIRECTORS NBCI COMMITTEE CHOSE BEST F T a UNIVERSITY OF TENNESSEE b WMI SILENT PARTNER MAV JULV 08 NEGOTIATIONS ONGOING WI UT ON TRANSITION STRATEGV 252009 IF LACK OF GOOD FAITH COMMITMENT AN GAIN IF GET NEUTRA COERCED INTO OF PARTNE BE PREPARED TO WALK AWAY LIZE BAD DEAL FOR SAKE RSHIPquot 1cova PER HOUR CHAMBER OF COMMERCE LANDOWNERS HUNTERS AND BIOLOGISTS PLEASED NOW WHAT 7 MOVE 0N To NEXT AREA 7 KEEP GOING
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'