Technical and Social Challenges of Cli Climate Change Adaptation - - PowerPoint PPT Presentation
Technical and Social Challenges of Cli Climate Change Adaptation - - PowerPoint PPT Presentation
Technical and Social Challenges of Cli Climate Change Adaptation for Aquatic t Ch Ad t ti f A ti Resource Managers Don Pereira, Kathy DonCarlos, Pete Jacobson, Andy Carlson and Ray Valley Minnesota Dept. of Natural Resources Climate
Climate Change in MN will likely mean l l h i th di t ib ti f large-scale changes in the distribution of fish habitat.
- Significant changes in thermal regimes
- longer growing seasons
- loss of coldwater habitat (gains in warm)
- Higher storm frequency > greater runoff >
- Higher storm frequency -> greater runoff ->
increased nutrient loading
Schneider, K. N., R. M. Newman, V. Card, S. Weisberg, and
- D. L. Pereira. 2010. Timing of Walleye Spawning as an
Indicator of Climate Change Transactions of the American Indicator of Climate Change. Transactions of the American Fisheries Society 139:1198-1210.
Climate Change in MN will likely mean large-scale changes in the distribution of fish habitat.
Predicted Effects Of Global Climate Change On Fishes In Minnesota Lakes Fishes In Minnesota Lakes H.G. Stefan, M. Hondzo, J.G. Eaton, and J.H. McCormick
Technical Challenges to Climate Change Technical Challenges to Climate Change Adaptation
What we are doing now:
- Assessment of habitat for imperiled species (cisco)
- Comprehensive monitoring (SLICE)
- Intensive statewide assessment (Johnson et al.)
- Climate change downscaling (USGS, NFHPs)
Technical Challenges to Climate Change Adaptation Adaptation
What we need to start on: What we need to start on:
- Assessment of populations and habitat for
p p warm adapted species
- Review of management regimes that may fail
- Developing methods for risk assessment and
decision analysis (e.g. SDM)
- Deploy social science tools for engaging
- Deploy social science tools for engaging
stakeholders (e.g. adaptive leadership)
Ci /L k H i Cisco/Lake Herring (Coregonus artedi)
Cisco Lethal Niche Boundary
Lake Andrusia Beltrami County
8 10
- n (mg/l)
7th Crow Wing 8th Crow Wing Andrusia Bemidji Cotton Gull Itasca Lida Littl Pi (C )
July 28, 2006
4 6
en concentratio
Little Pine (Cass) Little Pine (Ottertail) Little Turtle Long Pine Mountain Star Straight Woman
2
Oxyge
10 15 20 25
Temperature (°C)
J b l (2008) Fi ld i i f l h l Jacobson et al. (2008) Field estimation of a lethal
- xythermal niche boundary for adult cisco in
Minnesota lakes. Transactions of the American Fisheries Society 137:1464–1474.
Potential cisco
Identification
- f Potential
Potential cisco refuge lakes Non-refuge cisco lakes
Coldwater Refuge Lakes
- Deep lakes with good
- Deep lakes with good
water quality - need extra protection
- Statewide significance
- High priority for
High priority for shoreland and watershed protection
Peter C. Jacobson, H. G. Stefan, and D. L. Pereira. 2010 (In press) Coldwater fish oxythermal habitat in Minnesota lakes: Influence of lake productivity, morphometry, and climate Canadian Journal of Fisheries and Aquatic Sciences
Acoustic tag Acoustic tag coverage coverage coverage coverage
Hydrophone Hydrophone
406 mm Cisco 406 mm Cisco
Andrew.Carlson@state.mn.us
Sustaining Lakes in a Changing Environment (SLICE)
Sentinel Lakes express range of
geomorphological conditions
Aquatic communities are
profoundly different across productivity and growing season productivity and growing season gradients
Climate change and other Climate change and other
watershed stressor may increase productivity and growing season length g
SLICE: Sustaining Lakes in a Changing Environment Sentinel Lake Selection Criteria Ecoregion (4) Stratified Mixed L H M H M L L H M Phosphorus H M L R V ll @ t t http://www.dnr.state.mn.us/fisheries/slice/index.html Ray.Valley@state.mn.us
24 Sentinel lakes – focal points of
Sustaining Lakes in a Changing Environment (SLICE)
Se t e a es
- ca po ts o
cooperative long-term monitoring
Program purpose is to:
- Track habitat conditions
- Species responses to changes
in habitat f t th b bilit f
- forecast the probability of
crossing undesirable thresholds
Phase 1 (2008-2011):
- Indicator ID High “signal:noise”
- Inference into cause-effect
Inference into cause effect
Strong partnerships – right people
doing the right job (PCA, USGS, g g j ( , , SNF, Volunteers)
SLICE Phase 1: ID indicator variables with high S/N
Staples et al. 2005
How Can We Start Adaptation of How Can We Start Adaptation of How Can We Start Adaptation of How Can We Start Adaptation of Fisheries Management Programs? Fisheries Management Programs?
=
Duluth Area Fisheries Largemouth Duluth Area Fisheries Largemouth Bass Expansion Bass Expansion Bass Expansion Bass Expansion
Historical
Historical – 14 14 lakes had no lakes had no stocking stocking
1970’s
1970’s - all all stocked, only stocked, only
- ne in the 70’s
- ne in the 70’s
- ne in the 70 s
- ne in the 70 s
1980’s
1980’s – all all stocked, only stocked, only
- ne in the 80’s
- ne in the 80’s
1990’s
1990’s – 9 of 13 9 of 13 stocked, only stocked, only
- ne in the 90’s
- ne in the 90’s
2000’s
2000’s – 11 of 11 of 14 stocked, last 14 stocked, last stocking stocking
- ccurred in 1973
- ccurred in 1973
- ccurred in 1973
- ccurred in 1973
(credit: Nick Frohnauer, MN DNR)
A A Trichotomy Trichotomy of Adaptation Responses
- f Adaptation Responses
- Resistance
- Resistance
- Resilience
Resilience
- Facilitation
Galatowitsch, S., L. Frelich, and L. Phillips-Mao. 2009. Regional climate change adaptation strategies for biodiversity conservation in a midcontinental region of North America. Biological Conservation 142:2012 – 2022
Structured Decision Making
Structured Decision Making Structured Decision Making
John Hammond, Ralph Keeney, Howard Raiffa. 2002. Smart Choices: A Practical Guide to Making Better Life Decisions Broadway Books Martin, J., M. C. Runge, J. D. Nichols, B. C. Lubow, and W. L. Kendall. 2009. Structured decision making as a conceptual framework to identify thresholds g p y for conservation and management Ecological Applications 19:1079-1090
Walleye ? …… or Bass ? ……. or Both ?
Principles of Adaptive Leadership
- 1. Resist focusing only on a technical solution for a
problem that may have strong social dimensions
- 2. Get up on the balcony
3 Raise the heat a little bit
- 3. Raise the heat a little bit
- 4. Prepare to help manage “loss”
Getting Up on the Balcony ………… Give careful consideration to the differences in values of resource managers and their values of resource managers and their stakeholders. Management of Native Fish Assemblages?
TURNING UP THE HEAT!
N ENSION L OF TE LEVEL TIME
Don't Intervene
TIME
TURNING UP THE HEAT!
ON TENSIO EL OF T LEVE TIME
Don't Intervene Turn Up The Heat
TIME
Principles of Adaptive Leadership
- 1. Resist focusing only on a technical solution for a
problem that may have strong social dimensions
- 2. Get up on the balcony
3 Raise the heat a little bit
- 3. Raise the heat a little bit
- 4. Prepare to help manage “loss”
Merging SDM & Adaptive Leadership
SDM will help assess management options: A1 A2 A
Preferred by Resource Managers
A3 B1 B2 B2 C1 C2
Preferred by Stakeholders
D1
Stakeholders Adaptive Leadership may help find an acceptable solution.
Acknowledgements Acknowledgements
Colleagues:
- Dr. Heinz Stefan, U. of Minnesota, St. Anthony Falls
Hydraulics Lab
- Dr. Xing Fang, Auburn University
Dr Lucinda Johnson U of MN-Duluth NRRI
- Dr. Lucinda Johnson, U. of MN Duluth, NRRI
Nick Frohnauer & Duluth DNR Fisheries Stafff Funding: Funding: Sport Fish Restoration Program (U.S.D.I., USFWS) MN Environment & Natural Resources Trust Fund
Walleye Spawn Earlier
D ay ay
- f
fir st eg g- ta ke (d ( ay s)
Can We Merge Two New but Potentially Complementary Tools: Adaptive Leadership Adaptive Leadership & Structured Decision Making Structured Decision Making
Principles of Adaptive Leadership
- 1. Resist focusing only on a technical solution for a
problem that may have strong social dimensions
- 2. Get up on the balcony
3 Raise the heat a little bit
- 3. Raise the heat a little bit
- 4. Prepare to help manage “loss”
Decisions/Problems:
- 1. Can walleye stocking be maintained as a viable
management strategy in the face of expanding black bass populations in Minnesota? p p
- 2. How should basins with natural walleye
populations (not stocked) be managed given the populations (not stocked) be managed given the expansion of black bass populations in Minnesota?
Potential Objectives for Decision/Problem 1
1 Utili ll t ki if hi h b bilit f
- 1. Utilize walleye stocking if high probability of
adequate recruitment & adult survival
- 2. Sustainable, healthy fish populations
- 3. Acceptable tribal harvest
- 4. Acceptable recreational opportunities
- 5. Cost effective and affordable fish management
g
- 6. Tourism industry support and benefits from fishery
Potential Objectives and Criteria Potential Objectives and Criteria
Criteria Evaluation Utilize walleye stocking if high probability Year class strength Utilize walleye stocking if high probability
- f adequate recruitment & adult survival
Year class strength Sustainable, healthy fish populations Population , y p p p management through regulations Acceptable tribal harvest Support Acceptable recreational opportunities Maintain or increase Cost effective and affordable fish management Minimize cost Tourism industry support and benefits from fi h Support fishery
Potential Management Actions
- 1. Maintain walleye
2 Switch primary spp to bass
- 2. Switch primary spp. to bass
- 3. Natural system response
Uncertainties/Hypotheses yp
- 1. Black bass prey on walleye, resulting in
decreased walleye recruitment decreased walleye recruitment.
- 2. Walleye populations decrease due to loss of
- ptimal thermal habitat.
p
- 3. Limiting factors for black bass are water
temperature and duration of growing season.
- 4. Pond production of fall walleye fingerlings will
continue at current levels.
- 5. Walleye spring fingerlings will develop in to a
viable stocking tool.
Certainties
- 1. Black bass will become the dominant
predator in some lakes previously dominated by cool water predators by cool water predators.
- 2. Black bass in some lakes will result in
declines in walleye either through predation declines in walleye either through predation
- r competition.
- 3. There is spatial uncertainty (i.e. which
p y ( lakes?)
Scenarios: 5 – 10 Years
- 1. Walleye dominant species; bass present but
not dominant species
- 2. Dominance fluctuates between walleye and
bass
- 3. Bass dominant species; walleye recruitment