Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry...

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Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry Messmer David Koons

Transcript of Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry...

Page 1: Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry Messmer David Koons.

Estimating Greater Sage-grouse Juvenile Survival in Utah

Utah State UniversityDavid DahlgrenTerry MessmerDavid Koons

Page 2: Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry Messmer David Koons.

Introduction

Info Need

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Study Area Parker Mountain

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Methods

Page 5: Estimating Greater Sage-grouse Juvenile Survival in Utah Utah State University David Dahlgren Terry Messmer David Koons.

Methods – Burkepile et al. 2002

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Methods Hen Behavior

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Methods Monitoring

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Methods Veg and Arthropod Sampling

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Brood Mixing

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Methods

Cause of mortality Handling Exposure Predation

Avian/Mammalian Unknown

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Methods Modeling Manly and Schmutz 2001 - JWM

Maximum Likelihood Estimation (Version of the Mayfield Estimator)

Heterogeneity - D

Brood

ID

No. chicksstart

No. chicks

end

Age (days)

Start

Age (days)

End

Covariates

807 6 5 2 3 Year etc.

807 5 5 3 6 Year etc.

807 5 5 6 9 Year etc.

807 5 5 9 11 Year etc.

807 5 5 11 13 Year etc.

807 5 5 13 15 Year etc.

807 5 4 15 17 Year etc.

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Methods

Modeling Survival First

Age Structure (weeks 1 to 6) Used to assess covariates AIC

Second Assess covariates

Temporal Brood hen characteristics Vegetation data Arthropod data

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Methods

Modeling Survival Assumptions

Brood-mixing and right censoring Missing chicks Brood-mixing and missing chicks

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Methods

Modeling Survival First Covariates

Year Brood Type Hen Behavior (restricted data set) Hen Age (restricted data set) Hatch Date

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Methods

Modeling Survival Second – Vegetation Covariates (restricted data set)

Shrub cover and height Grass cover and height Forb cover and height

Third – Arthropod Covariates (2006, restricted data set) Hymenoptera (ants separate), Coleoptera, Lepidoptera,

Orthoptera, miscellaneous, and total arthropods

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Results

Sample sizes Total

2005 n = 89 chicks in 21 broods (mean = 4.24) 2006 n = 61 chicks in 21 broods (mean = 2.91)

Handling Death (2.6%) 2005 n = 3 2006 n = 1

Excluded from the survival analysis

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Results

Sample Sizes Chick mass

Mean = 29.5g (SE = 0.16) Transmitter averaged 5.1% (SE = 0.0003) of chick weight

Hen Behavior 43% Very protective (18/42) 38% Moderately protective (16/42) 19% Non-protective (8/42)

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Results

Sample Sizes Brood Mixing

21% of marked chicks (31/146) 43% of marked broods (18/42) 45% of mixing events involved >1 chick (9/20)

Occurred weeks 1 to 6 70% (14/20) in weeks 2 and 3

Radio-marked hen mortality (n = 2)

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Results

Sample Sizes Chick Mortality

n = 44 documented deaths n = 26 missing (assumed depredated) n = 6 exposure

Predation 91% (64/70) Unknown 75% (48/64) Mammalian 12.5% (8/64) Avian 12.5% (8/64)

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Results Model K AIC wi

Age Specific Models (no covariates)

age = (week1)+(week2)+(week3)+(week4)+(weeks5-6) 6 345.89 0.00 0.99973

age = (weeks1-2)+(weeks3-4)+(weeks5-6) 4 362.47 16.58 0.00025

age = (week1)+(week2)+(week3)+(weeks4-6) 5 368.95 23.06 0.00000

age = (weeks1-2)+(weeks3-6) 3 372.67 26.78 0.00000

age = (week1)+(week2)+(weeks3-6) 4 374.64 28.75 0.00000

age = (week1)+(weeks2-6) 3 398.40 52.51 0.00000

age = (weeks1-2)+(weeks4-6) 3 400.48 54.59 0.00000

age = (weeks 1-6) 2 408.52 62.63 0.00000

Covariate Models

age* + brood type (regular or mixed) 7 253.60 0.00 0.99999

age* + hen age (yearling or adult) 7 279.42 25.82 0.00003

age* + year (2005 or 2006) 7 332.26 78.66 0.00000

age* + hen behavior (protectiveness) 8 335.07 81.47 0.00000

age* + hatch date (Julian days) 7 343.07 89.47 0.00000

i

First – Age parameterization

: AIC difference between a model (i.e., model i) and the best performing model (i.e., model with the lowest AIC among the set of models examined).wi: Akaike model weight.* The best model of age = (week1) + (week2) + (week3) + (week4) + (weeks5-6)

i

Second – Temporal and hencharacteristics

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Results

Model K AIC wi

Age Specific Models (no covariates)

age = (week1)+(week2)+(week3)+(week4)+(weeks5-6) 6

345.89 0.00

0.99973

First – Age parameterization

i

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Results

Model K AIC wi

Covariate Models

age* + brood type (regular or mixed) 7253.6

0 0.000.9999

9

i

Second – Temporal and hencharacteristics

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Results

Survivorship Curve for Juvenile Sage-grouse, Parker Mountain, Utah, 2005-2006.

0.000

0.500

1.000

1 8 15 22 29 36

Days

P(s

urv

ival

)

Broods

Mixed Broods

Mean Survival to 42 days = 0.41 (SE =0.046)

Chick Survival in Regular broods = 0.38 Chick Survival in Mixed broods = 0.61

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Results

Heterogeneity (D) Chicks/brood = 3.5 For best model

D = 1.10 (SE = 0.22)

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Results

Model K AIC wi

age* (NULL) 6 -19.48 0.000.9999

9

i

Vegetation Covariates Null Model is best

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Results

Model K AIC wi

age* + Ants 7-

115.16 0.000.5950

8

age* (NULL) 6-

114.39 0.770.4049

2

i

Arthropod Covariates Entire 42 days Ant model

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Results

Model K AIC wi

age* + Orthoptera 5 -24.03 0.000.9999

9

i

Arthropod Covariates Early brood-rearing (day 1-21) Orthoptera (grasshopper) model

Estimates not significant

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Take Home

Predation major cause of chick mortality However, survival was good (mean = 0.41) Our data suggested low dependence among brood

mates for sage-grouse chicks Brood-mixing may be important to survival, needs

further investigation There is evidence that Arthropods (especially

Orthoptera) may aid chick survival, needs further investigation (> sample size)

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ThanksPARM USU Extension Parker Mtn. Grazing Association Jack H. Berryman Institute UDWR USFS BLM NRCS SITLA Farm Bureau County Commissioners

People Technicians Nathan Burkepile Jack Connelly Volunteers

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Any Questions?