Great Lakes Connec.vity Project Pete McIntyre, Patrick Doran, Ma8 - - PowerPoint PPT Presentation

great lakes connec vity project
SMART_READER_LITE
LIVE PREVIEW

Great Lakes Connec.vity Project Pete McIntyre, Patrick Doran, Ma8 - - PowerPoint PPT Presentation

Great Lakes Connec.vity Project Pete McIntyre, Patrick Doran, Ma8 Diebel, Michael Ferris, Tom Neeson, Allison Moody, Margaret Guye8e, Aus.n Milt, Steph Januchowski-Hartley, Jesse OHanley, Ma8 Herbert, Mary Khoury, Eugene Yacobson, Steve


slide-1
SLIDE 1

Great Lakes Connec.vity Project

Pete McIntyre, Patrick Doran, Ma8 Diebel, Michael Ferris, Tom Neeson, Allison Moody, Margaret Guye8e, Aus.n Milt, Steph Januchowski-Hartley, Jesse O’Hanley, Ma8 Herbert, Mary Khoury, Eugene Yacobson, Steve Wangen, Jeff Dischler

University of Wisconsin—Madison The Nature Conservancy—Great Lakes Wisconsin Dept. of Natural Resources University of Kent

slide-2
SLIDE 2

GLCP Partnerships

People: Dave Allan (GLEAM), Mark Holey & Jessica Barber & Stewart Cogswell (USFWS), Mark Fedora (USFS), Dale BurkeF & Pete Hrodey & Ted Treska (GLFC), Dana Infante (NFHAP, NABD), Lucinda Johnson (GLEI), Catherine Riseng (GLAHF), Sara Strassman (Am. Rivers) Funding:

slide-3
SLIDE 3

Great Lakes migratory fishes

  • 16,900 km

shoreline

  • >1000

watersheds

  • 53 fish species
  • 19 families
  • 10 exoZc spp.
  • 7 semelparous
  • 10 fall-winter

migrants

slide-4
SLIDE 4

Challenge #1: Migratory fish diversity

slide-5
SLIDE 5

Biogeographic data for 45 migratory 3ishes

slide-6
SLIDE 6

Species-speci3ic barrier analyses

slide-7
SLIDE 7

Species-speci3ic barrier analyses

slide-8
SLIDE 8

Challenge #2: Barrier mapping

slide-9
SLIDE 9

Challenge #2: Barrier mapping

100K road crossings 4K dams

Januchowski-Hartley et al. 2013 Fron%ers in Ecology & Environment

slide-10
SLIDE 10

Neeson et al. 2015 PNAS

Challenge #3: QuanZfying connecZvity

Impassible: 75% Semi-passable: 20% Fully passable: 5%

Cumula/ve passability: mulZply raZngs of all downstream barriers

slide-11
SLIDE 11

Challenge #4: Porbolio opZmizaZon

$40,000 1 km $100,000 3 km $30,000 10 km 0.8 0.4

Budget Habitat gain $100,000 ???

$70,000 1.5 km $200,000 2 km $80,000 5 km 0.5 0.3 6 5 2 3 1 4 0% 0% 30% 30% 15% 15% 0% 12% 100%

Porbolios address:

  • CumulaZve passability
  • ConZngencies among removals
  • SoluZons are not nested by budget
slide-12
SLIDE 12

Challenge #5: JurisdicZonal scalability

Neeson et al. 2015 PNAS

slide-13
SLIDE 13

Challenge #6: LimiZng species invasions

NaZves can benefit even when invaders are controlled

White sucker Round goby Sea lamprey Lake sturgeon

slide-14
SLIDE 14

Next Steps: invasive species

1) OpZmizaZons that compare control strategies (caps, poison, selecZve passage) 2) Explore tradeoffs between naZve and invasive species 3) Test benefits of coordinated budgeZng for barrier removal and invader control

slide-15
SLIDE 15

Online decision support tool

¡ visualize barriers ¡ user-submitted edits ¡ optimization of barrier removal

www.greatlakesconnectivity.org

slide-16
SLIDE 16

Scenario 1

¡ You are a project manager for the

Menominee watershed.

¡ Compare the results of spending

$500,000, $1 million, and $2 million on barrier removal projects.

slide-17
SLIDE 17

Scenario 1

slide-18
SLIDE 18

Scenario 2

¡ In the Pentwater River, Barrier 43 is a

critical barrier for sea lamprey control and cannot be removed.

¡ What are the consequences for fish

passage in the watershed?

slide-19
SLIDE 19

Scenario 2

slide-20
SLIDE 20

Scenario 2

slide-21
SLIDE 21

0.02 0.04 0.06 0.08 0.1 0.12 0.14 10 20 30 40 50 60 70 80 90 100

Next Steps: DST

Passability of recommended barriers

1) Build species-specific opZmizaZon into DST 2) IdenZfy rules of thumb that can guide removals even without data/opZmizaZon

Budget step

slide-22
SLIDE 22

Data sources

Loca.on Source Stream Data Coastal Data Presence Abundance Age Class Ontario MNR - ARA X X X MNR - FWIS X X X 11 ConservaZon AuthoriZes X 3 X 6 2 DFO X X X X ROM X X Illinois DNR X X X X Indiana DNR X X X DEM X X Michigan DEQ X X DNR X X X X Fish Atlas X X X DNR - MRI - LP X X X DNR - MRI - UP X X X Minnesota DNR – FishMap* X X X X New York DEC X X X Ohio Ohio EPA X X X OSU X X X X Pennsylvania Fish & Boat Commission** X X X X Wisconsin DNR X X X X X FishMap X X X X US - Great Lakes USFWS Lamprey survey X X Great Lakes Goodyear Atlas X X

slide-23
SLIDE 23