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Science as it Relates to Fisher and Marten Management ......William J. Zielinski USDA Forest...
Transcript of Science as it Relates to Fisher and Marten Management ......William J. Zielinski USDA Forest...
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William J. ZielinskiUSDA Forest Service,
Pacific Southwest Research Station, Arcata, CA.
Science as it Relates to Fisher and Marten Management: Public Lands
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1. Role of carnivores in ecosystems: why do we care?
Overview
2. What has science contributed to the goal of fisher and marten conservation (esp. public lands)?
i.e. the ‘easy’ questions.
3. What are the next generation of information needs?
i.e. the ‘hard’ questions.
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Carnivores1. Ecosystem ‘services’
• transfer energy via predation, cycle nutrients• influence evolution of prey, disperse seeds
2. Role in structuring communities
3. Vulnerability to extinction
Carnivores in Ecosystems
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Wennergren et al. 1995
0 50 100
Habitat Destruction (%)
Spec
ies
Lost
(%)
50
100
0
Herbivores
Carnivores
3. Vulnerability to extinctionCarnivores in Ecosystems
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Increased Risk from Habitat - Altering Activities
• Secondary or tertiary consumers• Low densities• Large home ranges• Low mobility• Relatively low genetic diversity
Especially Habitat Specialists:Marten & Fisher
Characteristics that increase vulnerability to extinction
Carnivores in Ecosystems
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General Comparisons: Martes in California M. americana M. pennanti
Body size 0.5 - 1 kg 2 - 5 kg
Home range size 2 – 10 km2 15 – 40 km2
Forest types Conifer Mixed
Elevation Higher Lower
Paleohistory Pleistocene Holocenein western US refugia arrival
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What we’ve learned from research on public lands in California:
MartenFisher
Noninvasive genetic sampling• fecal•hair
Snow tracking
Track plates and cameras
What have we learned?
SURVEY AND DETECTION METHODS
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What have we learned?
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Systematic Surveys (1996- 2002)
1.0 km
• n = 459 sample units• systematic sampling • 10-km spacing• sample unit = 6 stations • 8 visits
What have we learned?
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Detecting 20% decline in Prequires > 288 sample units.
Monitoring the Sierra Nevada Fisher Population (2002 - )
Developed as part of the Sierra Framework Adaptive
Management Plan (Zielinski and Mori 2001)
• Occupied v. unoccupied areas• Index = P =proportion of units with
detection• Designed to detect 20% decline
What have we learned?
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What we’ve learned: BASIC ECOLOGY
Dispersal Behavior
Diet
Population EcologyPopulation GeneticsDemographyFitness and Habitat Relations
Geographic Range
Microhabitat Selection (esp.resting)
MartenFisher
Community EcologyDisease and Parasites
Home Range - size- composition
Landscape Habitat Suitability
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Surveys ( 1986-2000) Detections
Aubry and Lewis (2003)
Fisher Distribution
What have we learned?
• 2 California populations • ~ 400 km separation
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Marten DistributionWhat have we learned?
DetectionsSurveys (1990 – 2002)Early 1900s
• Severe reduction: M. a. humboldtensis• Apparent pop. fragmentation: Cascades/Northern Sierra
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FisherMarten
32%68%Sierra
40%60%Both
65%35%HumboldtPrivatePublic
38%62%PrivatePublic
Land Ownership: Public v. Private
Public
Private
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1. Large Woody Structures2. Dense Overhead Cover
Fishers: Two Important Microhabitat Elements
What have we learned?
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Large Woody StructuresWhat have we learned?
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Fisher Rest Structures
0
10
20
30
40
50
Live Snag Growth Log Other
Perc
ent O
ccur
renc
e KlamathNorth CoastSouthern Sierra
Platform
What have we learned?
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RESTSTRUCTURES
MATERNAL DENS
NATAL DENS
Use
dFisher Rest Structure Size
(Conifers: Sierra Nevada)
0 50 100 150 200
RANDOM I
REST VICINITY
Diameter at Breast Height (cm)
Ava
ilabl
e
n = 3
n = 4
n = 329
n = 453
n = 380
n = 384RANDOM II
What have we learned?
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0 10 20 30 40
Oak CavityConifer (Live)
Conifer (Dead)Log
RocksShrubsBurrowStump
NestSubnivean
CWD pile
Rest Structures: Fisher vs. MartenSouthern Sierra Nevada
Percent
MartenFisher
n 145 232
What have we learned?
ReuseMarten = 26.2%Fisher = 11.8%
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Martes Rest Structures and Sites: Generalizations
• structure more important than tree species
• size is necessary but age is required
• many suitable structures necessary per unit area
• logs important, but not as substitutes for trees/snags
• the structure’s context (the ‘site’)is important
• reproductive dens likely to be similar to rest structures
What have we learned?
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Predictor Variables: Fisher Habitat Models
XX‘Foraging’ Model
XXXResting: Southern Sierra Model
XXXResting: Female Model
XXXXResting: ‘Fisher’ Model
ConiferSnags
AveragedbhHardwood
Max.Treedbh
ShrubCanopyClosure
Tree CanopyClosure
Model
Dense Overhead CoverWhat have we learned?
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What have we learned?
Zielinski et al. 2004b
Home Range Characteristics
Composition too…..
X
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Landscape Models: Regional Fisher Habitat is Differentially Distributed
What have we learned?
Carroll et al. (2004)
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Empirical Model Conceptual Model[Cal. Wild. Hab. Relations]
vs.
……overestimation of suitable habitat
What have we learned?
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Fisher Genetic Diversity Declines with Latitude52oN
36oN
Heterozygosity (HE)British Columbia
SouthernOregon
NW California
Sierra NFSequoia NF
0.15 0.25 0.35
P = 0.009
Wisely et al. (2004)
microsatellite data
What have we learned?
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Fisher Populations Demonstrate Restricted Gene Flow
• Wright’s FST = 0.42 (0.07)
• Highest reported for mammalian carnivore• higher than for fishers in Canada (FST= 0.14)
• higher than wolverine and marten
• Suggests population fragmentation andisolation
What have we learned?
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Genetic Diversity: Martens >> Fishers
Marten
D-loop mtDNA sequences (Koepf 1998)
Fisher
HaplotypeDiversity(Nei 1987)
0.33
n
0.0021 + 0.05
0.0008 + 0.03
0.73
44
29
NucleotideDiversity(Nei 1987)
What have we learned?
Excluding M. a. humboldtensis
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What we’ve learned from research on public lands
Dispersal Behavior
Diet
Population EcologyPopulation GeneticsDemographyFitness and Habitat Relations
Geographic Range- Monitoring Distribution
Microhabitat Selection (esp.resting)
MartenFisherBASIC ECOLOGY
Community EcologyDisease and Parasites
Home Range -size-composition
Landscape Habitat Suitability
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Effects of Land Allocation and Regional Conservation PlanningScale-Specific Effects Analysis
• projects (THPs, BEs)• watershed
Effects of OHV Recreation and Ski Areas
Effects of Timber Harvest• clearcutting• other methods
Effects of Fuels Treatment• on habitat elements• on home range suitability
MartenFisher
What we’ve learned from research on public lands in California: APPLIED ECOLOGY
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Effects of Land Allocation /Regional Planning
Scale-specific Habitat Guidelines • projects (THPs, BEs)• watershed
Effects of Vehicular Recreation
Effects of Timber Harvest• clearcutting• other methods
Effects of Fuels Treatment• on habitat elements• on home range suitability
MartenFisher
What we’ve learned from research on public lands in California: APPLIED ECOLOGY
Urgent Need:Fisher - Effects of Fuels Treatments
Urgent Need:Marten - Effects of Recreation
Urgent Need:Fisher & Marten - Conservation Planning
and Effects Analysis
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Fire Risks
Fisher: Fire & Fuels TreatmentsInformation needs
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Mechanical Treatment
Prescribed Fire
Fuels Treatment OptionsInformation needs
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Fuels Treatments: Fisher Habitat Risks
Potential short-term effects:
Decrease in….• large live trees• large diameter snags and logs• canopy closure• canopy layers
Information needs
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The Challenge
Fisher Detections
Urban WildlandInterface Zones
Information needs
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OHV and Developed Recreation: Effects on Martens
Information needs
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The Effects of OHVs on Martens
Zielinski and Slauson (in prep.)
Lake Tahoe study area(Lake Tahoe Basin Mgmt Unit)
High Sierra study area(Sierra National Forest)
Fresno
Sacramento
Information needs
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‘Effects Analysis’: Using Available Science
Project-level Questions:
• Landscape Models Context• Microhabitat Models Evaluate Effects of Projects
Information needs
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Landscape Models: Context for ProjectsInformation needs
HighwayRelocation
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Microhabitat Models: Assessing Project Effects(e.g., Resting Habitat Model; Zielinski et al. 2004)
Information needs
Result: Mean Predicted Values
-Before and After-
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Effects Analysis: Using Available Science
Landscape / Regional Conservation questions:
• Landscape models source habitat / ‘bottlenecks’• Landscape models Conservation planning;
• land allocations; reserve design• inform land exchanges [e.g., ‘checkerboard’].
Information needs
Project-level Questions:
• Landscape Models Context• Microhabitat Models Evaluate Effects of Projects
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Conservation Planning: Using Regional Habitat Models
Carroll et al. (1999; 2005)
Truex(in prep.)
Seo et al. (in prep.)
Information needs
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Landscape Habitat SuitabilityFisher Southern Sierra (Truex, in prep.)
Very LowLowMediumHigh
Suitability
Bottleneck – Corridor IdentificationConservation Plan
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The informed use of habitat models makes fisher and marten conservation a quantitative and a
proactive process.
- Defensible and Responsible -
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Conservation & Information Goals: Realistic
1. Comprehensive monitoring program: populations and habitats
2. Replicated studies of effects of land management activities on habitat use.
3. Overlooked aspects of ecology: e.g., dispersal, disease, reproductive den structures.
4. Integrate fisher/ marten management with ecosystem management
Information needs
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Ecosystem Mgmt: Sensitivity to Renewal Rates of Key Processes
CAVITIES
Large Trees
Agents of Decay
FIRE
WEATHER
DISEASE
DROUGHT
DENSE OVERHEADCOVER
FORESTGROWTH PROCESSES
Tree and shrub canopy
Ecosystem mgmt
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Fisher + OwlFisher
‘MARXAN’results
Mollusks and SalamandersFisher + Owl
Ecosystem Mgmt: Integrate Martes & Other Late-Seral Species in Conservation Plans
Ecosystem mgmt
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1. Discover habitat thresholds…….for occupancy and for reproduction.
2. Region-specific estimates of reproduction and survival.
3. Develop ‘fitness landscapes’ and viability consequences
4. Understand and prepare for effects of climate change on habitats.
Information needs
Dream Goals
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Alpine/Subalpine Forest
Evergreen Conifer Forest
Mixed Evergreen Forest
Mixed Evergreen Woodland
Grassland
Shrubland
Desert
Current Predicted: 2070 - 2099
Climate Change Predictions: Forests
Lenihan et al. (2003)
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Sue Morse
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