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Future Climate Conditions in Fresno County and Surrounding Counties July 2010
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Page 1: Future Climate Conditions in Fresno County and Surrounding ... · Future Climate Conditions in Fresno County and Surrounding Counties Geos Institute Marni E. Koopman, Richard S. Nauman,

FutureClimateConditionsinFresnoCountyandSurroundingCounties

July2010

Page 2: Future Climate Conditions in Fresno County and Surrounding ... · Future Climate Conditions in Fresno County and Surrounding Counties Geos Institute Marni E. Koopman, Richard S. Nauman,

ThisworkislicensedundertheCreativeCommonsAttribution‐Noncommercial‐ShareAlike3.0UnitedStatesLicense.Toviewacopyofthislicense,visithttp://creativecommons.org/licenses/by‐nc‐sa/3.0/us/orsendalettertoCreativeCommons,171SecondStreet,Suite300,SanFrancisco,California,94105,USA.

Inordertousethecontentofthispublication,oranypartofthatcontent,youmustattributeyoursourceprominentlyasfollows:“Source:[or“SourcePartlyfrom:”]TheGeosInstitute,www.geosinstitute.org”(noquotes).

Page 3: Future Climate Conditions in Fresno County and Surrounding ... · Future Climate Conditions in Fresno County and Surrounding Counties Geos Institute Marni E. Koopman, Richard S. Nauman,

FutureClimateConditionsinFresnoCountyandSurroundingCountiesGeosInstituteMarniE.Koopman,RichardS.Nauman,andJessicaL.Leonard

Supportforthisprojectwasprovidedby:The Kresge Foundation

The MAPSS Team at the USDA Forest Service Pacific Northwest Research Station

Conservation Grants Program

Acknowledgements:RayDrapekandRonNeilsonattheUSDAForestServicePacific

NorthwestResearchStationprovidedclimateprojectiondataaswellaslogistical

support.PeteVandeWater,JulieEkstrom,ScottPhillips,BrianCypher,andMichelle

Selmonprovidedvaluablefeedback.WealsoappreciateinsightsprovidedbyPhilMote

withtheOregonClimateChangeResearchInstitute.Thephotosinthisreportarefrom

USFWS,otherfederalsources,andBrianCypher.

2

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TABLEOFCONTENTS

Introduction 2

Modelsandtheirlimitations 3

Globalclimatechangeprojections 5

ClimateprojectionsforFresnoCountyandsurroundingcounties 6

Temperature 8

Precipitation 14

Snowpackandwateravailability 20

Vegetationandwildfire 21

Carbonstorage 24

SupportingStudies 25

Connectivity 26

Conclusions 27

LiteratureCited 28

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INTRODUCTION

FresnoCountyandthesurroundingcountiesofMadera,Kings,andTularearerichinhistory,culture,andbiologicaldiversity,inadditiontobeingvitalforthenation’sfoodproduction.Thesecountiesextendfromsemi‐desertandagriculturalvalleyfloorallthewaytothecrestoftheSierras.Changestothislandscapeduetoclimatechangearelikelytoaffectlocalresidentsandthenaturalresourcestheyrelyon. ClimaticchangesarealreadyunderwayacrossCaliforniaandarelikelytoincreaseinthecomingdecades.Changestothelocalclimatearelikelytoincludemorefrequentandintensestormsandfloods,extendeddrought,increasedwildfire,andmoreheatwaves.Localcommunitieswillneedtoplanforsuchchangesinordertopreventpotentiallycatastrophicconsequences.Climatechangepresentsuswithaseriouschallengeasweplanforthefuture.Ourcurrentplanningstrategiesatallscales(local,regional,andnational)relyonhistoricaldatatoanticipatefutureconditions.Yetduetoclimatechangeanditsassociatedimpacts,thefutureisnolongerexpectedtoresemblethepast.Thisreportprovidescommunitymembersanddecision‐makersinFresnoCountyandsurroundingcountieswithlocalclimatechangeprojectionsthatarepresentedinawaythatcanhelpthemmakeeducatedlong‐termplanning

decisions.TheclimatechangemodeloutputsinthisreportwereprovidedbytheUSDAForestServicePacificNorthwestResearchStationandmappedbyscientistsattheNationalCenterforConservationScienceandPolicy.Theresultspresentedinthisreportarecomplementarytoanin‐depthstudyofclimatechangeimpactstothecityofFresnoandmuchofthesurroundingarea,completedbyresearchersatCSUFresno(Harmsenetal.2008).Together,thesereportsandanupcomingcompanionreportonthevulnerabilitiesofsocio‐economicsystemsofFresnoCountytoclimatechangeprovidethebasisforinformedplanningefforts.Manyoftheimpactsofclimatechangeareinevitableduetocurrentlevelsofgreenhousegasemissionsalreadyintheatmosphere.Preparingfortheseimpactstoreducetheirseverityiscalled“adaptation”(seeboxbelow).Preventingevenmoresevereimpactsbyreducingfutureemissionsiscalled“mitigation.”MITIGATION=Reducingemissionstopreventrun‐awayclimatechange.Run‐awayclimatechangeoccurswhenpositivefeedbackskickintosuchanextentthatemissionsreductionsarenolongereffective.

ADAPTATION=Planningfortheinevitableimpactsofclimatechangeandreducingourvulnerabilitytothoseimpacts.

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MODELSANDTHEIRLIMITATIONS

Todeterminewhatconditionswemightexpectinthefuture,climatologistscreatedmodelsbasedonphysical,chemical,andbiologicalprocessesthatformtheearth’sclimatesystem.Thesemodelsvaryintheirlevelofdetailandassumptions,makingoutputandfuturescenariosvariable.DifferencesamongmodelsstemfromdifferencesincurrentunderstandingofmanyofEarth’sprocessesandfeedbacks.Takenasagroup,however,climatemodelspresentarangeoflikelyfutureconditions. Mostclimatemodelsprojectthefutureclimateatglobalscales.Formanagersandpolicymakerstomakedecisions,however,theyneedinformationabouthowclimatechangewillimpactthelocalarea.TheMAPSS(MappedAtmosphere‐Plant‐SoilSystem)TeamatthePacificNorthwestResearchStationadjustedglobalmodeloutputtolocalandregionalscales(8km).TheIntergovernmentalPanelonClimateChange(IPCC)usesnumerousmodelstomakeglobalclimateprojections.Themodelsaredevelopedbydifferentinstitutionsandcountriesandhaveslightlydifferentinputsorassumptions.Fromthesemodels,theMAPSSTeamchosethreeglobalclimatemodelsthatrepresentedarangeofprojectionsfortemperatureandotherclimatevariables.ThesethreemodelsareHadley(HADCM,fromtheUK),MIROC(fromJapan),andCSIRO(fromAustralia).Whilethespecificinputsarebeyondthescopeof

HIGHCERTAINTY:Highertemperatures–Greaterconcentrationsofgreenhousegasestrapmoreheat.Measuredwarmingtracksmodelprojections.

Lowersnowpack–Highertemperaturescauseashiftfromsnowtorainatlowerelevationsandcauseearliersnowmeltathigherelevations.

Shiftingdistributionsofplants&animals–Relationshipsbetweenspeciesdistributionsandclimatearewelldocumented.MEDIUMCERTAINTY:Moreseverestorms–Changestostormpatternswillberegionallyvariable.

Changesinprecipitation–Currentmodelsshowwidedisagreementonprecipitationpatterns,butthemodelprojectionsconvergeinsomelocations.

Wildfirepatterns–Therelationshipbetweenfireandtemperaturehasbeenwelldocumented,butothercomponentsalsoplayarole(suchasvegetation,below). LOWCERTAINTY:Changesinvegetation–Vegetationmaytakedecadesorcenturiestokeeppacewithchangesinclimate.

Howcertainaretheprojections?

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thisreport,theyincludesuchvariablesasgreenhousegasemissions,airandoceancurrents,iceandsnowcover,plantgrowth,particulatematter,andmanyothers(Randalletal.2007).Thethreemodelschosenincludedspecificvariables,suchaswatervapor,thatwereneededinordertoruntheMC1vegetationmodel.Modeloutputswereconvertedtolocalscalesusinglocaldataonhistorictemperatureandprecipitationpatterns.TheclimatemodeloutputwasappliedtotheMC1vegetationmodel(Bacheletetal.2001),whichprovideddataonpossiblefuturevegetationtypes,biomassconsumedbywildfire,andcarbonsequestration.Theutilityofthemodelresultspresentedinthisreportistohelpcommunitiespicturewhattheconditionsandlandscapemaylooklikeinthefutureandthemagnitudeanddirectionofchange.Becausemodeloutputsvaryintheirdegreeofcertainty,theyareconsideredprojectionsratherthanpredictions(seeinsert).Somemodeloutputs,such

astemperature,havegreatercertaintythanotheroutputs,suchasvegetationtype(seeboxonpreviouspage).However,muchuncertaintyassociatedwithmodelprojectionsarisesduetouncertaintyinfuturegreenhousegasemissions.Weurgethereadertokeepinmindthatresultsarepresentedtoexplorethetypesofchangeswemaysee,butthatactualconditionsmaybequitedifferentfromthosedepictedinthisreport.Uncertaintyassociatedwithprojectionsoffutureconditionsshouldnotbeusedasareasonfordelayingactiononclimatechange.Thelikelihoodthatfutureconditionswillresemblehistoricconditionsisverylow,somanagersandpolicymakersareencouragedtobegintoplanforaneraofchange,eveniftheprecisetrajectoryorrateofsuchchangeisuncertain.

ClimateprojectionAmodel‐derivedestimateofthefutureclimate.

ClimatepredictionorforecastAprojectionthatishighlycertainbasedonagreementamongmultiplemodels.

ScenarioAcoherentandplausibledescriptionofapossiblefuturestate.Ascenariomaybedevelopedusingclimateprojectionsasthebasis,butadditionalinformation,includingbaselineconditionsanddecisionpathways,isneededtodevelopascenario.

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GLOBALCLIMATECHANGEPROJECTIONS

TheIPCC(2007)andtheU.S.GlobalChangeResearchProgram(2009)agreethattheevidenceis“unequivocal”thattheEarth’satmosphereandoceansarewarming,andthatthiswarmingisdueprimarilytohumanactivitiesincludingtheemissionofCO2,methane,andothergreenhousegases,alongwithdeforestation.Averageglobalairtemperaturehasalreadyincreasedby0.7°C(1.4°F)andisexpectedtoincreaseby2°‐6.4°C(11.5°F)withinthenextcentury(Figure1).TheIPCCemissionscenariousedinthisassessmentwasthe“business‐as‐usual”trajectory(A2)thatassumesthatmostnationsfailtoacttoloweremissions.IftheU.S.andotherkeynationsdrasticallyandimmediatelycutemissions,someofthemoresevereimpacts,likerun‐awayclimatechange,canstillbeavoided.

Duetoclimatesysteminertia,restabilizationofatmosphericgaseswilltakemanydecadesevenwithdrasticemissionsreductions.Reducingemissions(called“mitigation”)isvitaltopreventtheEarth’sclimatesystemfromreachingcertaintippingpointsthatwillleadtosuddenandirrevocablechanges.Inadditiontoemissionsreductions,planningforinevitablechangestriggeredbygreenhousegasesalreadypresentintheatmosphere(called“adaptation)willallowresidentsofFresnoCountyandthesurroundingareatoreducethenegativeimpactsofclimatechangeand,hopefully,maintaintheirquality‐of‐lifeasclimatechangeprogresses.Throughoutthisreportwepresentmid­andlate­centurymodeloutputs.Mid­centuryprojectionsarehighlylikely,duetogreenhousegasesalreadyreleased,butlate­

centuryprojectionsmaychange,dependingonfutureemissions.

Figure1.Thelast1,000yearsinglobalaveragetemperatures,incomparisontoprojectedtemperaturesthrough2100.Drasticcutsingreenhousegasemissions(bestcasescenario)wouldleadtoanincreaseofabout2°Cby2100,whilethecurrenttrajectory(business‐as‐usual)willleadtoanincreasecloserto4.5°Candashighas6°C(adaptedfromIPCC2007).

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CLIMATEPROJECTIONSFORFRESNOANDSURROUNDINGCOUNTIES VariablesmodeledusingHADCM,CSIRO,MIROC,andthevegetationmodel(MC1)includetemperature,precipitation,vegetationtypeanddistribution,wildfire,andcarbonstorageinbiomass.Thesevariableswerecalculatedbasedonhistoricaldataformakingbaselinecomparisons,andwereprojectedoutto2100.TheseprojectionsrepresentalikelyrangeofpossiblefutureconditionsinFresnoCountyandthesurroundingcounties.Asclimatechangeplaysout,wemaybeabletomakemorecertainprojections.Wemayalsoexperiencesurprisesandunforeseenchainsofcause‐and‐effectthatcouldnothavebeenprojected.

Climatechangeprojectionsareprovidedhereinthreedifferentformats–asoverallaverages,asgraphsthatshowchangeovertime,andasmapsthatshowvariationacrosstheregion,butaveragedacrossyears.Wemappedclimateandvegetationvariablesforthehistoricalperiod(1961‐1990)andfortwofutureperiods(2035‐45and2075‐85).BecauseofthedifferenceinclimatebetweentheSierrasandthevalleyfloor,wecalculatedmodeloutputforeasternareasover1,000feetinelevationseparatelyfromotherareas(Figure2).Welabelthesetwoareasthe“Upper”and“Lower”FresnoCountyRegion.

Figure2.Areasreferredtointhisreportas“Upper”and“Lower”FresnoCountyregion.TheUpperFresnoCountyRegionisgenerallyabove1,000feetinelevationandisfoundintheeasternportionsofFresno,Madera,andTularecounties,whiletheLowerFresnoCountyRegionisgenerallybelow1,000feetinelevationandencompasseswesternportionsofFresno,Madera,andTularecountiesaswellasallofKingsCounty.

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Figure3.LandownershipinFresnoCountyandsurroundingcounties.

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TEMPERATURETheprojectionsfromallthreemodelsagree,withhighcertainty,onawarmerfutureforFresnoCountyandsurroundingcounties(Table1).TheupperFresnoCountyregionisprojectedtowarmslightlymorethanthelowerFresnoCountyregion.Otherstudiesindicateanincreaseinnighttimelowtemperatures.Daytimehighsarecurrentlybufferedbyhumidityfromirrigation.

Table1.ProjectedincreaseinaveragetemperatureintheupperandlowerFresnoCountyregions(seeFig.2fordetails),fromthreedifferentglobalclimatemodels.FutureprojectedtemperatureisshownaschangeindegreesFahrenheit,ascomparedtohistoricaverages(1961‐1990). Historic 2035‐45 2075‐85 Season Upper Lower Upper Lower Upper Lower Annual 46.4°F 62.3°F +2.5‐4.8°F +2.3‐4.3°F +5.2‐8.9°F +4.7‐8.2°F Summer 61.3°F 78.0°F +2.2‐6.0°F +2.0‐5.4°F +5.8‐11.0°F +5.2‐10.0°F Winter 33.9°F 47.0°F +2.2‐4.1°F +2.0‐3.8°F +4.1‐7.9°F +3.7‐7.4°F

Figure5.AverageannualtemperatureforthelowerFresnoregion,basedonhistoricdataandmodelprojectionsfromthreeglobalclimatemodels.

Figure4.AverageannualtemperaturefortheupperFresnoCountyregion,basedonhistoricdataandmodelprojectionsfromthreeglobalclimatemodels.

UpperFresnoCountyRegion

LowerFresnoCountyRegion

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Figures6and7.Averagehistoricandfuturemonthlytemperaturesinareasabove1000feetinelevation(top)andbelow1000feet(bottom).Bluebarsshowhistoricaveragetemperaturewhiletheorangeshaperepresentstherangeofprojectionsfromthethreeglobalclimatemodels.Theaverageforthetwofuturetimeperiodsisinpurple(2035‐45)andred(2075‐85).

UpperFresnoCountyRegion

LowerFresnoCountyRegion

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Figure8.Januarytemperature(top)andchangeintemperature(bottom),indegreesF.

20

35

-20

45

20

75

-20

85

MIROC HADCM CSIRO

January Change in Temperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Change in Temperature in Degrees Celsius

0 - 1

1.1

- 2

2.1

- 3

3.1

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4.1

- 5

5.1

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Increase

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MIROC HADCM CSIRO

JanuaryTemperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Monthly Mean Temperature in Degrees Celsius

-10 - -8

-7 - -5

-4 - -3

-2 - 0

1 - 2

3 - 5

6 - 7

8 - 10

11 - 12

13 - 15

16 - 17

18 - 20

21 - 22

23 - 25

26 - 27

28 - 30

31 - 32

33 - 35

36 - 37

38 - 40

14 – 18.5

18.6 – 23

23.1 – 27.5

27.6 – 32

32.1 – 36.5

36.6 – 41

41.1 – 45.5

45.6 – 50

50.1 – 54.5

54.6 - 59

59.1 – 63.5

63.6 – 68

68.1 – 72.5

72.6 – 77

77.1 – 81.5

81.6 – 86

86.1 – 90.5

90.6 – 95

95.1 – 99.5

99.6 - 104

DegreesFahrenheit

0-1.8 1.9-3.4 3.5-6.2 6.3-7.8 7.9-9.6 9.7-11.3 11.4-13 13.1-14.4

ChangeindegreesFahrenheit

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Figure9.Apriltemperature(top)andchangeintemperature(bottom),indegreesF.

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35

-20

45

20

75

-20

85

MIROC HADCM CSIRO

April Change in Temperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Change in Temperature in Degrees Celsius

0 - 1

1.1

- 2

2.1

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Increase

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MIROC HADCM CSIRO

AprilTemperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Monthly Mean Temperature in Degrees Celsius

-10 - -8

-7 - -5

-4 - -3

-2 - 0

1 - 2

3 - 5

6 - 7

8 - 10

11 - 12

13 - 15

16 - 17

18 - 20

21 - 22

23 - 25

26 - 27

28 - 30

31 - 32

33 - 35

36 - 37

38 - 40

14 – 18.5

18.6 – 23

23.1 – 27.5

27.6 – 32

32.1 – 36.5

36.6 – 41

41.1 – 45.5

45.6 – 50

50.1 – 54.5

54.6 - 59

59.1 – 63.5

63.6 – 68

68.1 – 72.5

72.6 – 77

77.1 – 81.5

81.6 – 86

86.1 – 90.5

90.6 – 95

95.1 – 99.5

99.6 - 104

DegreesFahrenheit

0-1.8 1.9-3.4 3.5-6.2 6.3-7.8 7.9-9.6 9.7-11.3 11.4-13 13.1-14.4

ChangeindegreesFahrenheit

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Figure10.Julytemperature(top)andchangeintemperature(bottom),indegreesF.

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61

-19

90

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35

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45

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-20

85

MIROC HADCM CSIRO

JulyTemperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Monthly Mean Temperature in Degrees Celsius

-10 - -8

-7 - -5

-4 - -3

-2 - 0

1 - 2

3 - 5

6 - 7

8 - 10

11 - 12

13 - 15

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36 - 37

38 - 40

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MIROC HADCM CSIRO

July Change in Temperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Change in Temperature in Degrees Celsius

0 - 1

1.1

- 2

2.1

- 3

3.1

- 4

4.1

- 5

5.1

- 6

6.1

- 7

7.1

- 8

LimitedChange

Increase

14 – 18.5

18.6 – 23

23.1 – 27.5

27.6 – 32

32.1 – 36.5

36.6 – 41

41.1 – 45.5

45.6 – 50

50.1 – 54.5

54.6 - 59

59.1 – 63.5

63.6 – 68

68.1 – 72.5

72.6 – 77

77.1 – 81.5

81.6 – 86

86.1 – 90.5

90.6 – 95

95.1 – 99.5

99.6 - 104

DegreesFahrenheit

0-1.8 1.9-3.4 3.5-6.2 6.3-7.8 7.9-9.6 9.7-11.3 11.4-13 13.1-14.4

ChangeindegreesFahrenheit

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Figure11.Octobertemperature(top)andchangeintemperature(bottom)indegreesF.

19

61

-19

90

20

35

-20

45

20

75

-20

85

MIROC HADCM CSIRO

OctoberTemperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Monthly Mean Temperature in Degrees Celsius

-10 - -8

-7 - -5

-4 - -3

-2 - 0

1 - 2

3 - 5

6 - 7

8 - 10

11 - 12

13 - 15

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MIROC HADCM CSIRO

October Change in Temperature

Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

0 40 80 120 16020

Kilometers ´

Change in Temperature in Degrees Celsius

0 - 1

1.1

- 2

2.1

- 3

3.1

- 4

4.1

- 5

5.1

- 6

6.1

- 7

7.1

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LimitedChange

Increase

14 – 18.5

18.6 – 23

23.1 – 27.5

27.6 – 32

32.1 – 36.5

36.6 – 41

41.1 – 45.5

45.6 – 50

50.1 – 54.5

54.6 - 59

59.1 – 63.5

63.6 – 68

68.1 – 72.5

72.6 – 77

77.1 – 81.5

81.6 – 86

86.1 – 90.5

90.6 – 95

95.1 – 99.5

99.6 - 104

DegreesFahrenheit

0-1.8 1.9-3.4 3.5-6.2 6.3-7.8 7.9-9.6 9.7-11.3 11.4-13 13.1-14.4

ChangeindegreesFahrenheit

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PRECIPITATIONProjectionsforfutureprecipitationvariedamongthethreemodels(Fig.13‐14),butallthreemodelsagreedondrierconditions,onaverage,bylatecentury,especiallyinthespring(Fig.15‐16).InaseriesofreportsreleasedbytheCaliforniaEnergyCommission,asetofsixmodelsshowedconsensusonadrierclimateforCentralCalifornia(Westerlingetal.2009).Further,evenwithsubstantialincreasesinprecipitation,soilmoistureisexpectedtodeclineduetoincreasedairtemperatureandevaporation,effectivelycausingincreaseddroughtconditions.

Figure13.AverageannualprecipitationacrosstheupperFresnoregion(above1000feet),basedonhistoricaldata(blackline)andthreeglobalclimatemodelsprojectedoutto2100(averagesarefoundonthenextpage).

Figure14.AverageannualprecipitationacrossthelowerFresnoregion(below1000feet),basedonhistoricaldata(blackline)andthreeglobalclimatemodelsprojectedoutto2100(averagesarefoundonthenextpage).

UpperFresnoCountyRegion

LowerFresnoCountyRegion

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Table2.Averagehistorical(1961‐1990)precipitation,ininches,andchangesinprojectedprecipitationfortwotimeperiods(2035‐45and2075‐85)basedonprojectionsfromthreeglobalclimatemodels.Timeperiod Averageprecipitation(%changefromhistoric)

LowerFresnoregion UpperFresnoregionHistoric 9.4in. 29.9in.2035‐45 6.9‐10.6in.(‐27%to+13%) 21.7–33.6in.(‐28%to+12%)2075‐85 6.8‐8.8in.(‐28%to‐7%) 20.5–28.2in.(‐32%to‐6%)

Figure15.Monthlyhistoric(1960‐1991)andfutureprecipitationintheupperFresnoCountyregion(above1000feet),fortwotimeperiods(2035‐45and2075‐85).Averagefutureprecipitationwasderivedfromthreeglobalclimatemodels,andisexpectedtofallwithintheorangeandredareas.

Figure16.Monthlyhistoric(1960‐1991)andfutureprecipitationinthelowerFresnoCountyregion(below1000feet),fortwotimeperiods(2035‐45and2075‐85).Averagefutureprecipitationwasderivedfromthreeglobalclimatemodels,andisexpectedtofallwithintheorangeandredareas.

UpperFresnoCountyRegion

LowerFresnoCountyRegion

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Figure17.Januaryprecipitation(top)andchangeinprecipitation(bottom),inmm.

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Fresno Region

Monthly Mean Precipitation in Millimeters

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Figure18.Aprilprecipitation(top)andchangeinprecipitation(bottom),inmm.

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

Monthly Mean Precipitation in Millimeters

197 - 216

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

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Figure19.Julyprecipitation(top)andchangeinprecipitation(bottom),inmm.

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

Monthly Mean Precipitation in Millimeters

197 - 216

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

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Change in Precipitation in Millimeters

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Figure20.Octoberprecipitation(top)andchangeinprecipitation(bottom),inmm.

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

Monthly Mean Precipitation in Millimeters

197 - 216

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275 - 294

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Data provided by the US Forest Service Mapped Atmosphere-Plant-Soil System Study

Fresno Region

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Page20

SnowpackandWaterAvailabilityAstemperatureswarm,precipitationisexpectedtoincreasinglyfallasraininsteadofsnow.Inaddition,snowmeltisexpectedtooccurearlier(Hayhoeetal.2004).Historicaldataindicatesthatpeaksnowmassoccursfivedaysearlierthanitdidpriorto1930,andthatspringtemperaturesare1.2°Fwarmerthanpriorto1948(KapnickandHall2009).ProjectionsforfuturesnowpackthroughouttheSierraNevadarangeindicateapotentiallossof80%ofsnowpackbytheendofthecentury(Fig.21)underamoderatewarmingscenario.Snowpackisexpectedtobeevenlowerunderahighwarmingscenario(thecurrenttrajectory).Asincreasingtemperaturesleadtoshiftsfromsnowtorain,higher,butearlier,peakrunoffisexpected.Combinedwiththelikelihoodofmoreintenseprecipitationeventsandincreasingrain‐on‐snowevents,scientistspredictmoreintenserunoffandflooding(CANaturalResourcesAgency2009;Heetal.Inreview).TheCaliforniawatersystemisespeciallyvulnerabletoglobalwarmingduetoitsdependenceonmountainsnowaccumulationandthesnowmeltprocess(VicunaandDracup2007).Projectionsshowlowerstreamflow,lowerreservoirstorage,anddecreasedwatersupplydeliveriesandreliability,expectedtobeespeciallypronouncedlaterinthe21stCentury(Vicunaetal.2007).Groundwaterisalsoexpectedtodeclineduetoincreaseddemandandloweredrecharge.Earlierpeakrun‐off,moreintensestormsthatquicklywashthroughthesystem,andlowersnowpacklevelsallcontributetodeclininggroundwaterrecharge. Figure21.Current(left)andfuture(right)snowpackforCaliforniaonApril1(fromHayhoeetal.2004).Reductionsinsnowpackareafunctionofdecliningprecipitation,greaterproportionofprecipitationasraininsteadofsnow,andearlierspringsnowmelt.

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VEGETATIONandWILDFIREThevegetationmodel(MC1)providedprojectionsforpredominantvegetationtypes(Figure22)andaverageannualbiomassconsumedbywildfire(Figure23).TheMC1vegetationmodelonlymakesprojectionsfornativevegetationtypesanddoesnotaccountforlandusechange(i.e.agricultureanddevelopment)orintroducedspecies(i.e.non­nativegrasses).Projectionsforchangesinvegetationtypesincludeashiftfromtemperategrasslandtosubtropicalgrasslandatlowerelevations.Becausethevalleyfloorisdominatedbynon‐nativegrasses,thisshiftmaynotberealized.Alossoftemperateshrublandonthevalleyfloorbymid‐centuryisalsoprojected,althoughmuchofthisvegetationtypehasalreadybeenlosttoagricultureanddevelopment.Athigherelevations,vegetationchangeisapparentinareasthatarecurrentlydominatedbysequoiaandmixedconifer(currentlysugarpine,whitefir,incensecedar,etc.).Lowerelevationconifers,suchasgraypine,mayspreadtohigherelevations,whilehighelevationspeciescouldbelost.Despitechangedgrowingconditions,vegetationcantakedecadesorcenturiestoadjust,especiallyathigherelevationswhereconditionswillbecomemorehospitabletoforestbutsoilwilltakedecadesorcenturiestodevelop.Mechanismsforvegetationchangeatlowerelevationsarelikelytobedrought,fire,invasivespecies,insectsanddisease.Westerlingetal.(2009)projectedsubstantialincreasesintotalaverageareaburnedbywildfire,withtheeasternportionsofFresno,Tulare,andMaderaCountiesexpectedtoexperience300‐400%greateracreageburnedby2085ascomparedtothehistoric(1961‐1990)amount(Figure24).Similarly,theMC1modelprojects2‐4timesgreaterbiomassconsumedbywildfire(Figure23)athigherelevationsbytheendofthecentury.

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Page22

Figure22.TheMC1modelshowssuitablegrowingconditionsfornativetypesofvegetation,butnotactualvegetationornon‐nativevegetation.Land‐usechanges,suchasagricultureorhousing,arealsonotreflectedinthisoutput.Actualvegetationinthefuturewilldependnotonlyonclimateconditions,butalsoonlanduse,non‐nativespecies,andresponsetimeneededforchangesfromonetypetoanother(newforesttypesdonotoccurovernight,forexample,astheymayneeddecadesorcenturiestobecomeestablished).

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VegetationType

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MC1 Vegetation Classification

Subalpine Forest

Maritime Evergreen Needleleaf Forest

Temperate Evergreen Needleleaf Forest

Temperate Evergreen Needleleaf Woodland

Temperate Shrubland

Temperate Grassland

Temperate Desert

Subtropical Mixed Forest

Subtropical Mixed Savanna

Subtropical Shrubland

Subtropical Grassland

Subtropical Desert

Mixed High Elevation

High Elevation Grasslands

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Page23

Figure23.AverageannualbiomassconsumedbywildfireinFresnoCountyandsurroundingcounties,shownforthehistoricalperiod(1960‐1991)andprojectedfortwofutureperiods(2035‐45and2075‐85),usingthreeglobalclimatemodels.

Figure24.Predictedchangeinburnedareain2085comparedtohistoricalperiod.Avalueof100%indicatesnochangewhileavalueof400%indicatesa4‐foldincrease.Resultsareshownfromtwoglobalclimatemodels.FigureadaptedfromWesterlingetal.(2009).

CNRM CM3 GFDL CM21

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Consumed Biomass

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in grams per square meter

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Page24

CARBONSTORAGEAllthreeglobalclimatemodelsindicatealossofcarbonstoragebylate‐century(2075‐85),primarilyintheSierraNevadarange.Alossofcarbonstorageresultsfromvegetationdie‐backorwildfire.ThisindicatesthatportionsoftheSierraNevadarangecouldbecomeacarbonsource,ratherthansink,withinthenextcentury.ThisresultissupportedbyaUSDAForestServicestudyonforestmanagementstrategiesformaintainingcarbonstoresonnationalforestlandsinthisregion(USDA2009).Figure25.AverageannualcarbonstorageinvegetationinFresnoCountyandsurroundingcounties,shownforthehistoricalperiod(1960‐1991)andprojectedfortwofutureperiods(2035‐45and2075‐85),usingthreeglobalclimatemodels.

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Carbon Stored in Vegetation

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in grams per square meter

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Page25

SUPPORTINGSTUDIES

TheCaliforniaEnergyCommission(CEC)sponsoredalargebodyofresearchintothepotentialimpactsofclimatechangeacrossthestate.Manyofthereportsfromthiseffortwerereleasedin2009.Forconsistency,authorsofthesereportsallusedthesamesetofglobalclimatemodelsformakingtheirprojections.Thesemodelsweredifferentthanthethreeusedinthisreport,whichwerechosenbyresearchersatthePacificNWResearchStationtorepresentarangeoffutureconditions.Evenwithdifferentmodels,however,theresultsfrommanyCECreportsagreewithorcomplementtheresultsinthisreport,providinggreaterconfidenceintheresultspresentedhere.Usingthesamevegetationmodel(MC1)butdifferentclimatemodelsthanours,Shawetal.(2009)alsoprojectsadeclineinconiferousforestintheeasternportionsofFresno,Madera,andTularecounties,withexpansionofhardwoodforest.Shrublandsarealsoexpectedtoexpand,attheexpenseofgrasslands.Inaddition,theirstudyprojectedsteepdeclinesinforageproductioninthefoothillsoftheSierrasinthesamethreecounties(Figure25).Inanotherstudy,Loarieetal.(2008)modeledpotentialrangeshiftsofendemicplantspeciesthroughoutCalifornia.Themodelingexerciserevealedthatupto1/3ofallspecieswillbeextirpatediftheyareunabletomovetonewareas.Speciesdiversityisexpectedtoremainhigherathigherelevationsandalongthecoast.Kueppersetal.(2005)modeledshiftsinrangefortwospeciesofoak,blueoakandvalleyoak,throughoutthestate,usingtwodifferentclimatemodels(oneregionalandoneglobal).BothoaksexperiencedrangecontractionsintheFresnoregionby2080‐2099,accordingtothemodels,butthegeographiccomplexityoftheareamayresultinrangeexpansionaswell.

Figure25.Netchangeinforageproductionby2070‐2099,basedontwoclimatemodelsundertheA2emissionsscenario.Orangeorbrownrepresentadeclineinforageproduction,whilebluerepresentsanincreaseinforageproduction.(FigurefromShawetal.2009)

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CONNECTIVITY

Astheclimatechanges,animalsandplantsareexpectedtorespondinvariousways.Mostspecieswillneedtomovetonewareaswheretheclimateissuitable.Somespeciesareonlyabletomoveshortdistancesduetonaturallimitationssuchaslowdispersalrates,inhospitableterrain,oralackofdispersalagents.Otherspeciesmaybelimitedbydevelopment,roadplacement,orlossofhabitatinnewareas.Incontrast,weedyorinvasivespeciesareexpectedtoeasilymoveinresponsetothechangingclimateandcouldincreaseinabundanceandrange.InordertominimizethedeclineandpotentialextirpationofmanyofCalifornia’snativespecies,threeprimaryapproachestothedispersalproblem(outlinedabove)havebeenrecommended.Byfarthemostimportantapproachistomaintainandincreasehabitatconnectivityandcorridorsacrosscounties,regions,states,andeventheentirewesternU.S.Thisapproachrequiresalevelofcollaborationandcommunicationacrosslandownershipthatiscurrentlynon‐existent.AreasofFresnoCountyandthesurroundingcountieshavebeenidentifiedasespeciallyimportantforlong‐termmovementofanimalsandplantsamongnaturalareas(Figure26).Facilitateddispersal(translocation)isrecommendedforspecieswithlimitedabilitiesandopportunitiesfornaturaldispersal.Facilitateddispersalwillneedtobecarefullyconsideredandplanned,astherearemanypotentiallyundesirableconsequences.Inaddition,costandfailurerateareoftenhigh.Finally,aggressivecontrolofundesirableinvasiveandweedyspecieswillbeneededtoallowmoredesirablenativespeciestheopportunitytodisperseandbecomeestablishedinnewareas.Figure26.AreasimportantforhabitatconnectivityintheFresnoregion.Greenareasarelargelynaturalareaswhileyellowandredareasareimportantconnectorsthatwouldbemorecostlytoconserve(adaptedfromSpenceretal.2010).

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CONCLUSIONS

Thepurposeofthisreportistoprovideup‐to‐dateclimateprojectionsforFresno,Madera,Kings,andTulareCountiesatascalethatcanbeusedincommunityplanningefforts.Byprovidingtheinformationthatlocalmanagers,decision‐makersandcommunitymembersneedtomakeday‐to‐daydecisionsandlong‐termplans,wehopetospurproactiveclimatechangeadaptationplanning.Manyoftheimpactsofclimatechangearealreadyprogressingandwillcontinuetoacceleratethroughoutthenextfewdecades,regardlessoffutureemissions.Forinstance,projectionsforthetimeperiodof2035­2045arehighlylikelytobecomereality.Whetherwelimitclimatechangetothislevelorcontinuetoprogresstowardsthelevelprojectedfor2075­2085andbeyondwilldependonwhethertheU.S.andotherkeynationschoosetoloweremissionsdrasticallyandimmediately.Theprojectionsprovidedinthisreportareintendedtoformthefoundationforcity,county,andregionaladaptationplanningforclimatechange.Ourprogram,calledtheClimateWise®program,strivestobuildco‐beneficialplanningstrategiesthatarescience‐based,aredevelopedbylocalcommunitymembers,andincreasetheresilienceofbothhumanandnaturalcommunitiesinacohesivemanner.Thisprocesswilltakeplaceinaseriesofworkshopsinvolvingexpertsinthefollowingsectors:naturalecosystems(terrestrialandaquatic),built(infrastructure,culverts,etc.),human(health,emergencyresponse,etc.),economic(agriculture,business,etc.)andcultural(NativeAmericantribalcustomsandrights,immigrantcommunitiesandcustoms,etc.).TheClimateWise®programisstructuredtobegintheplanningprocessinlocalcommunities,andto“scaleup”managementstrategiestothestateandfederallevelbyidentifyingneededchangesinpolicyandgovernancestructure.Duringthelocalplanningprocess,expertsfromdifferentsectorswillidentifybarrierstosoundmanagement,allowingustoaddresstheselimitingfactorsbycollaboratingwithlawmakers.PleasecontactMarniKoopmanattheNationalCenterforConservationScienceandPolicyformoreinformationortobecomeinvolvedinthisprocess([email protected];541‐482‐4459x303).

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LITERATURECITED

Bachelet,D.,J.M.Lenihan,C.Daly,R.P.Neilson,D.S.Ojima,andW.J.Parton.2001.MC1:Adynamicvegetationmodelforestimatingthedistributionofvegetationandassociatedcarbon,nutrients,andwater‐atechnicaldocumentation.Version1.0.GTR‐508.Portland,OR:U.S.DepartmentofAgriculture,ForestService,PacificNorthwestResearchStation.Harmsen,F.,D.Hunsaker,P.VandeWater,andY.V.Luo.2008.MitigationandAdpatationStrategiesforClimateChangeinFresno,California.InstituteofClimateChangeOceansandAtmosphere,CollegeofScienceandMathematics,CSUFresno.Hayhoe,K.,D.Cayan,C.B.Field,P.C.Frumhoff,E.P.Maurer,N.L.Miller,S.C.Moser,S.H.Schneider,K.N.Cahill,E.E.Cleland,L.Dale,R.Drapek,R.M.Hanemann,L.S.Kalkstein,J.Lenihan,C.K.Lunch,R.P.Neilson,S.C.Sheridan,andJ.H.Verville.2004.EmissionsPathways,ClimateChange,andImpactsonCalifornia.ProceedingsoftheNationalAcademyofSciencesoftheUnitedStatesofAmerica101:12422–27.He,Z.,Z.Wang,C.J.Suen,andX.Ma.Inreview.ClimatechangeimpactsonwateravailabilityintheUpperSanJoaquinRiverwatershed,California.IPCC.2007.ClimateChange2007:SynthesisReport.ContributionofWorkingGroupsI,IIandIIItotheFourthAssessmentReportoftheIntergovernmentalPanelonClimateChange.CambridgeUniversityPress.Kapnick,S.andA.Hall.2009.ObservedchangesintheSierraNevadasnowpack:Potentialcausesandconcerns.CaliforniaClimateChangeCenter.CEC‐500‐2009‐016‐F.Kueppers,L.M.,M.A.Snyder,L.C.Sloan,E.S.Zavaleta,andB.Fulfrost.2005.ModeledregionalclimatechangeandCaliforniaendemicoakranges.PNAS102:18281‐18286.Loarie,S.R.,B.E.Carter,K.Hayhoe,S.McMahon,R.Moe,C.A.Knight,andD.D.Ackerly.2008.ClimatechangeandthefutureofCalifornia’sendemicflora.PloSONE3:1‐10.Randall,D.A.,R.A.Wood,S.Bony,etal.2007.ClimateModelsandTheirEvaluation.InClimateChange2007:ThePhysicalScienceBasis.ContributionofWorkingGroupItotheFourthAssessmentReportoftheIntergovernmentalPanelonClimateChange.Solomon,S.,D.Qin,M.Manning,etal.,Eds.CambridgeUniversityPress.Shaw,M.R.,L.Pendleton,D.Cameron,B.Morris,G.Bratman,D.Bachelet,K.Klausmeyer,J.MacKenzie,D.Conklin,J.Lenihan,E.Haunreiter,andC.Daly.2009.TheImpactofClimateChangeonCalifornia’sEcosystemServices.CaliforniaClimate

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ChangeCenter.CEC‐500‐2009‐025‐F.Spencer,W.D.,P.Beier,K.Penrod,K.Winters,C.Paulman,H.Rustigian‐Romsos,J.Strittholt,M.Parisi,andA.Pettler.2010.CaliforniaEssentialHabitatConnectivityProject:AStrategyforConservingaConnectedCalifornia.PreparedforCaliforniaDepartmentofTransportation,CaliforniaDepartmentofFishandGame,andFederalHighwaysAdministration.Accessed:http://www.dfg.ca.gov/habcon/connectivity/CANaturalResourcesAgency.2009.CaliforniaWaterPlanUpdate2009:IntegratedWaterManagement.Dept.ofWaterResources.Accessed07/27/2010athttp://www.waterplan.water.ca.gov/cwpu2009/index.cfmUSDA.2009.NationalForestCarbonInventoryScenariosforthePacificSouthwestRegion(California).Goines,B.andM.Nechodom,Eds.USGCRP.2009.GlobalClimateChangeImpactsintheUnitedStates.T.R.Karl,J.M.Melillo,andT.C.Peterson,Eds.CambridgeUniversityPress.Vicuna,S.,andJ.A.Dracup.2007.TheevolutionofclimatechangeimpactstudiesonhydrologyandwaterresourcesinCalifornia.ClimaticChange82:327–350.Vicuna,S.,E.P.Maurer,B.Joyce,J.A.Dracup,andD.Purkey.2007.TheSensitivityofCaliforniaWaterResourcestoClimateChangeScenarios.JournaloftheAmericanWaterResourcesAssociation43:482–498.Westerling,A.L.,B.P.Bryant,H.K.Preisler,T.P.Holmes,H.G.Hidalgo,T.Das,andS.R.Shrestha.2009.ClimateChange,Growth,andCaliforniaWildfire.CaliforniaClimateChangeCenter.CEC‐500‐2009‐046‐F.


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