Effect of wind farms on vultures : AMP case study · 2017. 5. 18. · Species Crossings Nº...

Post on 20-Mar-2021

1 views 0 download

transcript

EffectEffect ofof windwind farmsfarms ononvulturesvultures: AMP case : AMP case studystudy

Álvaro Camiña

Biodiversity & Ecosystem Services in Impact AssessmentIAIA Biodiversity & Ecology Section

Inter-American Development Bank | Washington, DC.7-8 February 2013

NorthernNorthern ValenciaValencia

• 10 windfarms :267 turbines. • Environmental Impact Assessment (EIA)

and EIS since 2004. • Operating since September 2006.• Measures against BSE resulted in

changes both in food availability and space distribution (EIS uneffective).

• GV collisions increase: 393 birds killedfrom 2006 to December 2010.

NorthernNorthern ValenciaValencia

• 33 turbines were shut down from May 2008-Sep. 2010 : Economic loss.

• Both Wind developer and EnvironmentalAuthorities accussed at the Court by affecting Birds Directive 2009/147/CE (79/409/CE).

Raptor species in the area

Circus cyaneus 4 7Milvus migrans 32 41

Circaetus gallicus 67 75Buteo buteo 36 38

Circus pygargus 8 10Circus aeruginosus 2 4

Neophron percnopterus 6 6Pernis apivorus 28 86

Aquila crhsyaetos 24 29Gyps fulvus 3088 5485

Hieraetus pennatus 30 31Accipiter gentilis 5 6Accipiter nisus 21 21

Falco peregrinus 6 6Falco tinunculus 100 118Falco subbuteo 1 1

Nº IndividualsCrossingsSpecies

89,30% of crossings and 91.7% individualsbelong to griffon vultures

CorrectionCorrection measuresmeasures

•• AvoidingAvoiding griffonsgriffons feedingfeeding at at rubbishrubbishdumpdump

GoalGoal: reduce : reduce mortalitymortality..

MeasureMeasure: : ClosureClosure ofof rubbishrubbish dumpdump..•• ProvideProvide vulturesvultures withwith foodfoodGoalGoal: “Remove” vultures from rubbish : “Remove” vultures from rubbish dumpdumpMeasureMeasure: : BuildBuild 2 2 vulturevulture restaurantsrestaurants

BothBoth appliedapplied simultaneouslysimultaneously

RubbishRubbish dumpdump use vs. use vs. closureclosure

1

1,5

2

2,5

3

3,5

4

4,5

Vultures at rubbish dump 3,96 3,29 2,44 1,98

No measuresSealing rubbish

dumpSealing and 1st

vulture restaurantSealing 2 vulture

restaurants

GLMp < 0,004

R2 X 100 = 40,74%F 3,574 = 3,17

RubbishRubbish dumpdump use vs. use vs. FoodFood at at vulturevulture restaurantsrestaurants

2,4

2,5

2,6

2,7

2,8

2,9

3

3,1

3,2

3,3

Serie1 3,17 2,67

No food at VR Food at VR

p < 0,001F 3,574 = 4,18

GAM GAM ModelsModels

-0,2 0,0 0,2 0,4 0,6 0,8 1,0 1,2

Julian date

-4

-3

-2

-1

0

1

2

3

4

Par

tial r

esid

ual

Observ ed v alue Spline 95% conf idence band

Spline line and 95% confidence band for Julian date

No action Sealing rubbish dump and2 feeding sites opened

OverallOverall mortalitymortality trendtrend

Age of vultures collided

5%

22%

73%

Adults

Immatures

Juveniles

0

5

10

15

20

25Ja

nuar

y

Febr

uary

March

Apri l

May

June july

Augu

stSe

ptem

ber

October

Nove

mber

Dece

mbe

r

Juvenile Inmmature Adult

PercentagePercentage ofof mortalitymortality throughthroughthethe yearyear

0%

5%

10%

15%

20%

Janu

ary

Febr

uary

Mar

ch

April

May

June July

Augu

stSe

ptem

ber

Octob

erNo

vem

ber

Dece

mbe

r

IncubationChick rearing

Pre-breedingPost-fledging

MortalityMortality ((vulturesvultures//turbineturbine//dayday))

0,0011 0,0013 0,0014 0,0008 0,00060,0011

0,0013

0,0014

0,0008

0,0005

0,0011

0,0013

0,0014

0,0008

0,0005

2006 2007 2008 2009 20100,0002

0,0004

0,0006

0,0008

0,0010

0,0012

0,0014

0,0016

0,0018

0,0020

VU

LTU

RES/T

UR

BIN

E/Y

EA

R

0,0011

0,0013

0,0014

0,0008

0,0005

Mean Mean±SE Mean±1,96*SE

64,28%

BSEMesures

implemented

OtherOther variables variables affectedaffected by by measuresmeasures adoptedadopted

0

0,5

1

1,5

2

2,5

Crossings /food VR 1,56 1,43 1,65 1,5

Crossings/NO food VR 2,35 1,83 2,14 1,79

No measuresSealing rubbish

dump

Sealing and 1st vulture

restaurant

Sealing 2 vulture

restaurants

p = 0,38F 1,157 = 0,76

CrossingsCrossings throughtthrought turbineturbine stringsstringsvs. The vs. The twotwo correctioncorrection measuresmeasures

Vultures/hour

CrossingsCrossings throughthrough turbinesturbines vs. vs. FoodFood providedprovided at v. at v. restaurantsrestaurants

p = 0,01F 1,157 = 6,08

0

0,5

1

1,5

2

2,5

Sin aportes AportesWithout foodAt VR

FoodAt VR

p = 0,01F 1,157 = 6,08

UnderstandingUnderstanding flightflightbehaviourbehaviour ofof griffonsgriffons

Flight altitude vs. Daily mean temperature

Flight altitude vs. Daily mean temperature

#1

#2

#3

#4

#5

#6

#7

#8

#9

#10

#11

#12

2,0 2,1 2,2 2,3 2,4 2,5 2,6 2,7

AVERAGE FLIGHT ALTITUDE/MONTH

40

60

80

100

120

140

160

180

200

220

240

AV

ER

AG

E M

ON

TH

LY T

EM

PE

RA

TU

RE

#1

#2

#3

#4

#5

#6

#7

#8

#9

#10

#11

#12

y = -606,26 + 313,77*x;

r = 0,89; p < 0,001; r 2 = 0,8045

0%

5%

10%

15%

20%

Janu

ary

Febr

uary

Marc

h

April

May

June July

Augu

stSe

ptem

ber

Octobe

rNov

embe

rDec

embe

r

Flight vs. Wind conditions

• GLM / variables nested on turbine string

SlopeTail / cross wind flying vulture components

TemperatureTail / cross wind wind vectors

Turbine string: A1, A2, A3, F1Date

Flight altitude: Below, a the same level, aboverotor swept area.

FlightFlight altitudealtitude-- GLM GLM modelmodel

Hierarchically nested factor design

SS D.f. MS F p

Turbine string * Slope 4,6297 3 1,5432 3,99 0,0080

Turbine string * Temperature

8,5487 3 2,8496 7,36 < 0,001

Julian date 3,2062 1 3,2062 8,29 0,0042Julian date^2 2,3639 1 2,3639 6,11 0,0138

FlightFlight altitudealtitude GAMGAM--modelmodel

-100 -50 0 50 100 150 200 250

Temperature

-2,0

-1,5

-1,0

-0,5

0,0

0,5

1,0

1,5

Par

tial r

esid

ual

Observed value Spline 95% confidence band

Spline line and 95% confidence band for temperatureResponse: Flight altitude

ComplementaryComplementary measuresmeasures

•• MonitoringMonitoring ofof GV GV movementsmovements by by meansmeansofof SatelliteSatellite TrackingTrackingUsingUsing GPSGPS-- PTT´sPTT´s

•• PopulationPopulation viabilityviabilityanalysisanalysis (PVA) (PVA) totomeasuremeasure thethe effecteffect ofofmortalitymortality..

Thank you !

Alvaro CamiñaApartado de correos 339Majadahonda MADRID

SPAINacamia@acrenasl.eu