thresholds in songbirds in relation to early seral forest at stand and landscape scales
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Thresholds In Songbirds In Relation To Early Seral Forest At Stand And Landscape ScalesTRANSCRIPT
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Matt Betts, Tana EllisForest Ecosystems and Society, OSU
Collaborators: Joan Hagar, Brenda McComb, Kevin McGarigal, Jim Rivers
Thresholds in songbirds in relation to early seral forest at stand and landscape scales
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(1939)
Area decrease = ~40%Mean patch size decrease = ~35% Kennedy and Spies 2005 Biol. Cons.
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Historical and future ES
Paleo- &dendroecological studies + simulation modelging
‘Very open’ + ‘Patchy open’ = ~6% of historical landscape (Nokala & Spies 2005, Ecol. Apps.)
‘Early seral’ (<30 years) = 30% ~historical (Wimberly et al. 2000 Cons. Biol.)
‘Diverse early succession’ projected decline by 100% from HRV (Spies et al. 2007 Ecol. Apps.)
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“Structurally and compositionally diverse early seral forest habitats are now the scarcest habitat in the region” (Thomas et al. 2006 – Cons. Biol.)
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Orange-crowned warbler Rufous hummingbird
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“Structurally and compositionally diverse early seral forest habitats are now the scarcest habitat in the region” (Thomas et al. 2006 – Cons. Biol.)
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Stand Structure
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1. Which songbird species are associated with early seral broadleaf forest?
2. Is the occurrence of these bird species influenced by landscape composition?
3. Are there threshold levels of broadleaf in stands/landscapes?
4. Is habitat change ‘driving’ pop. declines?
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Habitat variable ‘x’(Stand or landscape scale)
Pop
ulat
ion
size
/ occ
urre
nce/
den
sity
Betts and Villard 2009 – Cons. Targets.Betts et al. 2007 – Cons. Biol.
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Authors of 14 studies contacted
- Klamath Bird Observatory (southern OR)- McGarigal & McComb (Coast range)- Hagar et al. (Coast range)- Fontaine (Biscuit fire)
Total N (after removing sites due to missing data) = 4375
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4375 sample points127,164 bird detections 110 species
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Gradient Nearest Neighbor (GNN) method for predictive vegetation
mapping
Regional forest survey+
Remote sensing data+
Imputation
= spatial data
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Coastal Oregon
Oregon
IDNO TREE # SPECIES DBHCM HTM CC BHAGE TPHPLT
41034020 101 TSHE 39.116 24.384 4 83 2.617
41034020 116 CHLA 109.728 32.309 3 136 2.617
41034020 123 TSHE 55.880 39.319 3 103 2.617
41034020 129 PSME 200.152 58.826 3 913 1.000
41034020 133 PSME 66.802 40.843 3 99 2.617
41034020 316 TSHE 57.404 40.234 3 80 2.617
41034020 319 CHLA 105.664 45.110 3 244 2.617
41034020 320 CHLA 80.518 42.062 4 349 2.617
Attribute table (joined to ArcGIS grid)
Each pixel, or ArcGIS grid cell
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% Broadleaf% Early seral broadleaf (<10 cm
dbh)Spatial extents: 150, 500, 2000 m
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2 km
0.5 km
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p = exp (β0 + β1x + β2(x – ψ)+) / 1 + exp (β0 + β1x + β2(x – ψ)+)
Segmented logistic regression:
Muggeo (2003) Statistics in Medicine
Threshold Detection
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11/ 27 models showed threshold response
Pacific-slope flycatcher
Ranged broadly from 1.35 – 24.5%cc
Betts et al. Ecol. Apps. In Press
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Positive response to early-seral broadleaf by 8/12 species
Coast Range
Klamath
LARGE REGIONAL VARIATION IN THRESHOLDS
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GNN Species distribution performance:
Mean AUC = 0.83 ± 0.002 s.e.
Best spatial scale = 2000 m
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Betts et al. Ecol. Apps. In Press
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Positive influence of early and late seral broadleaf forest on many species
Population consequences may have already occurred
High variation in thresholds among species and regions
More research needed at stand and landscape scales (manipulations)
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Stand Structure
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Tana Ellis and Matt Betts
Oregon State UniversityForest Ecosystems & Society
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1. Does amount of hardwood cover within a stand influence
• occurrence of songbirds?• productivity of songbirds?
2. Are there threshold levels of hardwood within a stand?
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• 28 Douglas-fir plantations of the central Oregon Coast Range
• Aged 5 to 9 years old
• Hardwood cover gradient 0-35%
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6,013 total net captures Banded 4,639 Recaptured 837 53 species
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White-crowned Sparrow n= 375
Swainson’s Thrush n= 375
Orange-crowned Warbler n= 370
MacGillivray’s Warbler n= 362
Willow Flycatcher n= 268
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Need to take into account number of individuals (using rarefaction)
% Hardwood Cover
0 5 10 15 20 25 30 35
Sp
ecie
s R
ich
nes
s
0
5
10
15
20
25
30
35
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Model Wi AIC Δ AIC THRESHOLD SE
Segmented 0.98 2.19 0.00 6.456 1.709
Linear 0.02 10.18 8.00 - -
Hardwood threshold at 6.7 % (SE=1.6)
Full model R2 = 0.45
Foliage gleaners=12.8% (SE=3.5)
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Adult orange-crowned warbler HY (juvenile) orange-crowned warbler
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β SE t P(Intercept) -2.09 0.06 -35.44 0.000Log(Hardwood) 0.08 0.03 2.84 0.009
β SE t P
(Intercept) -2.017 0.077 -26.143 0.000
logHWD 0.058 0.037 1.586 0.125AGE-HY -0.139 0.097 -1.429 0.165
logHWD:AGEHY 0.043 0.046 0.926 0.363
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Migrant Bird Demography
Nest success Juvenile survival
Migratory survival
Adult survival
Overwinter survival
Faaborg et al 2010 Ecol. Monogr.
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Does nest success = ‘habitat quality’?
Do conditions at the nest influence subsequent juvenile survival?
Nest success Juvenile survival
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SWTH nest
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SWTH nest
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Fledgling SWTH with transmitter
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What happened to fledgling #150.781?
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22 juveniles tagged, 36% survived68% of mortality occurred within first
8 daysBest predictors:1. Hardwood during post-fledging
period (HR: 0.88 [95% CI: 0.76-1.00)2. Corticosterone in the nest (HR:
0.86 [95% CI: 0.71-1.04])
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Summary
Bird distributions at stand and landscape scales are influenced by abundance of early seral forest
Demographic effects are apparentThis might be partly due to post-
fledging survival on the breeding grounds
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Manipulative study (funded by USDA)
‘Top-down’ effects of birds on insect control
More extensive tests of thresholds
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THANKS!