Chesapeake Atlantis Model Predicting the Cumulative Effects of Multiple Simultaneous Stressors Habitat GIT, 14 October, 2015 Tom Ihde, ERT, Inc. Tom Ihde,

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Presentation transcript:

Chesapeake Atlantis Model Predicting the Cumulative Effects of Multiple Simultaneous Stressors Habitat GIT, 14 October, 2015 Tom Ihde, ERT, Inc. Tom Ihde, ERT, Inc. for the NOAA Chesapeake Bay Office for the NOAA Chesapeake Bay Office

2 Physical environment Geology Chemistry Circulation & currents Temperature Salinity Water clarity (TSS) Climate variability Nutrient Inputs Currency is Nitrogen Oxygen Silica 3 Detrital forms Bacteria-mediated recycling Developing and Applying Tools For Ecosystem-Based Fisheries Management NOAA Chesapeake Bay Office – Ecosystem Modeling Team Biological environment Primary production Trophic interactions Recruitment relationships Age structure Size structure Life History Fisheries Multiple sectors Gears Seasons Spatially explicit The Chesapeake Atlantis Model (CAM) A Whole Ecosystem Modeling Approach Incorporating:

3 The Chesapeake Atlantis Model Design

4 CAM Design: 3-Dimensional Box Model:

5 NOAA Chesapeake Bay Office – Ecosystem Modeling Team CAM: River Box Structure

Images courtesy of ian.umces.edu/imagelibrary/ Ecological Groups: Federal fisheries, Forage, Protected, Habitat Finfish - Alosines (Amer.Shad, Hickory Shad, Alewife & Herring) - Atlantic Croaker - Bay anchovy - Black drum - Bluefish - Butterfish, harvestfish (“Jellivores”) - Catfish - Gizzard shad - Littoral forage fish: silversides, mummichog - Menhaden - Striped bass - Summer flounder - Other flatfish (hogchoker, tonguefish, window pane, winter flounder) - Panfish: Euryhaline: Spot, silver perch; FW to 10ppt: yellow perch, bluegill - Reef assoc. fish: spadefish, tautog, black seabass, toadfish - Spotted hake, lizard fish, northern searobin - Weakfish - White perch Elasmobranchs - Cownose ray - Dogfish, smooth - Dogfish, spiny - Sandbar shark Birds - Bald Eagle - Piscivorous birds (osprey, great blue heron, brown pelican, cormorant) - Benthic predators (diving ducks) - Herbivorous seabirds (mallard, redhead, Canada goose, & swans) Mammals - Bottlenose dolphin Reptiles - Diamond-back Terrapin - Seaturtles Invertebrates - Benthic feeders: (B-IBI “CO”+”IN”) …, - Benthic predators: (B-IBI “P”) …, - Benthic suspension feeders: (B-IBI “SU”) - Blue crab YOY - Blue crab adult - Brief squid - Macoma clams: (B-IBI) - Meiofauna: copepods, nematodes, …, - Oysters Primary Producers - Benthic microalgae (“microphytobenthos” benthic diatoms, benthic cyanobacteria, & flagellates) - “Grasses:” SAV – type varies with salinity - Marsh grass - Phytoplankton – Large: diatoms & silicoflagellates (2-200um) - Phytoplankton – Small: nannoplankton, ultraplankton, aka “picoplankton” or “picoalgae” (0.2-2um), cyanobacteria included (2um) - Dinoflagellates (mixotrophs) (5-2,000um) ZooPlankton - Ctenophores - Sea nettles - Microzooplankton (.02-.2mm): rotifers, ciliates, copepod nauplii - Mesozooplankton (.2-20mm): copepods, etc. Detritus - Carrion - Carrion (sediment) - Labile - Labile (sediment) - Refractory - Refractory (sediment) Bacteria (.2-2 um [.002 mm] - feed microzooplankton food chain) - Benthic Bacteria (sediment) - Pelagic Bacteria: (free-living)

Marsh Modeled in CAM 7 The Chesapeake Atlantis Model Application

Habitat Scenario Assumptions 50% loss of Marsh (area & biomass) Due to multiple, interacting factors: o shoreline armoring o subsidence o sea level rise 50% loss of Seagrass 8

9 Water Column Habitat Assumptions “TMDL” = Total Maximum Daily Loads of Nitrogen & turbidity – full attainment: Nitrogen - 25% reduction Turbidity (total suspended solids) - 20% reduction

Climate Change Assumptions Najjar et al. (2010); IPCC AR4 (2007) 50 years from now: Increased water temperature (1.5°C) Salinity (+/- 2 ppt) 10

Scenarios Sensitivity To Climate Change Selected Group Effects of Interest to Management Percentage Change Marsh Loss ZBA W BC AMSB SF FF SAV Loss BA SF Z W BC AM SB FF Temperature Increase (1.5C) ZBA W BC AMSB SF FF Temp Increase with Marsh Loss & SAV Loss ZBA W BC AMSB SF FF SB ZBA W BC AM SF FF TMDL ZBA W BC AMSB SF FF Temp Increase with Marsh Loss, SAV Loss, & TMDL BA – Bay Anchovy SB – Striped Bass SF – Summer Flounder FF – All Finfish W – Worms (and other benthic invert. prey ) AM – Atlantic Menhaden BC – Blue Crab Z – Zooplankton

Summary o Temperature increase produces relatively strong effects on production compared to losses of marsh, SAV, or the TMDL water quality improvements o Modeling other stressors without expected temperature increase could be misleading o Reasonable trends can be predicted modeling a single stressor if you happen to choose the dominant stressor o Risk is relatively large for some important Chesapeake managed fish (~10 % loss in production) 12

Next steps… Test sensitivities, explore current hypotheses: pred-prey; DO; shifts in state of system Verify trends with other models where possible Add other effects of climate change: - allow movement preferences for changing climate conditions (temperature, salinity) - shifts in timing of migration & spawning Acidification effects 13

14 Thanks to: Thanks to: Marine and Atmospheric Research 14

15 Extra Slides 15

16

Habitat: SAV Modeled in CAM 17

Habitat: Marsh Modeled in CAM 18

19 Stressors / system changes: Habitat loss: - Marsh, SAV Water column factors: - Nitrogen & Total Suspended Solids Climate forcing: - Temperature increase Simulation results Next Steps Outline

Sensitivity To Climate Change Selected Group Effects of Interest to Management Zooplankton Bay Anchovy Worms, etc. Blue Crab MenhadenStriped Bass Summer Flounder All Finfish Key Forage (vert & invert) MA Loss SAV Loss Temp+ TMDL Temp+, MA-, SAV- Temp+, MA-, SAV-, TMDL Current

Does modeling a single stressor produce similar results as modeling multiple stressors together? It depends: Yes, if happen to choose the dominant stressor No, if choose the wrong stressor Potentially ‘no’ when modeling multiple stressors of similar importance 21

Striped Bass Current Conditions Temperature increase & Habitat Loss 22

Blue Crab Current Conditions Temperature increase & Habitat Loss 23

24  IEA  MPA planning in E.S. context  ITQ’s/ “catch shares”  Evaluate ecological indicators Sustainability of fisheries in context of climate change:  Evaluate economic pressures  Effort allocation  Gear choice  Eutrophication most critical  A few key species capture the major ecosystem impacts  Ecosystem models identify impacts single-species models miss Developing and Applying Tools For Ecosystem-Based Fisheries Management NOAA Chesapeake Bay Office – Ecosystem Modeling Team