Multispecies Models-II (Including Predation In Population Models)

Slides:



Advertisements
Similar presentations
A dynamic stochastic food web model for the Barents Sea Benjamin Planque and Ulf Lindstrøm.
Advertisements

Start the story of qualitative analysis in the 12th century with a gentle man called Fibonacci. Then move to Malthus, Darwin, Lotka and Volterra then get.
Ecosim Beth Fulton Time dynamic Ecopath = initial conditions Define Duration Environmental drivers Contaminants option Fleet dynamics option ECOPATH,
Ecosystem Modeling Framework For Quantitative Seascape Ecology Supporting Ecosystem Assessment and Management Howard Townsend NOAA/NMFS/OHC/Chesapeake.
Sheng-Ping Wang 1,2, Mark Maunder 2, and Alexandre Aires-Da-Silva 2 1.National Taiwan Ocean University 2.Inter-American Tropical Tuna Commission.
458 Delay-difference models Fish 458, Lecture 14.
1 Ecological and Economic Considerations in Management of the U.S. Pacific sardine Fishery Samuel F. Herrick Jr NOAA Fisheries Southwest Fisheries Science.
458 Multispecies Models (Introduction to predator-prey dynamics) Fish 458, Lecture 26.
A multi-species population assessment model for the Gulf of Alaska Kray F. Van Kirk, SFOS, UAF, Juneau Terrance J. Quinn II, SFOS, UAF, Juneau Jeremy S.
Food webs and trophic cascades in lakes. How to represent trophic relationships? (Paine 1980) 1.Connectedness Based on observations 2.Energy flow web.
Ecosim & the foraging arena IncoFish Workshop, WP4 September, 2006 IncoFish Workshop, WP4 September, 2006 Villy Christensen.
Biodiversity and Fisheries Management Daniel Pauly Fisheries Centre, University of British Columbia Vancouver, Canada United Nations Fisheries Training.
The current status of fisheries stock assessment Mark Maunder Inter-American Tropical Tuna Commission (IATTC) Center for the Advancement of Population.
Searching for a good stocking policy for Lake Michigan salmonines Michael L. Jones and Iyob Tsehaye Quantitative Fisheries Center, Fisheries and Wildlife.
458 Stage- / Size-Structured Models Fish 458, Lecture 16.
458 More on Model Building and Selection (Observation and process error; simulation testing and diagnostics) Fish 458, Lecture 15.
458 Fitting models to data – II (The Basics of Maximum Likelihood Estimation) Fish 458, Lecture 9.
458 Lumped population dynamics models Fish 458; Lecture 2.
458 Age-structured models (Individual-based versions) Fish 458, Lecture 6.
Community Ecology 10/27/06. Review of last time: Multiple ChoiceS Which of the following are true of the following equations: Circle ALL correct answers:
Barents Sea fish modelling in Uncover Daniel Howell Marine Research Institute of Bergen.
458 Policies and Their Evaluation Fish 458, Lecture 22.
Changes in the coastal ecosystem of the Cape Verde Archipelago over the period 1981 to 2000: a simulation model using Ecosim. K.A. Stobberup 1, V. M. Ramos.
458 Age-structured models Fish 458, Lecture Why age-structured models? Advantages: Populations have age-structure! More realistic - many basic.
458 Fisheries Reference Points (Single- and multi-species) Fish 458, Lecture 23.
458 Estimating Extinction Risk (Population Viability Analysis) Fish 458; Lecture 25.
Marine Fisheries Terms to Know Fishery – Refers to aspects of harvesting and managing aquatic organisms. Can refer specifically to a species being harvested,
458 Age-structured models (continued) Fish 458, Lecture 5.
458 Fish Spring 2005 Fisheries Stock Assessments (Models for Conservation)
Age-structured assessment of three Aleutian fish stocks with predator-prey interactions Doug Kinzey School of Aquatic and Fishery Sciences University of.
Population Models for Carbonate Workbench Scoping a.Static Environmental context – productivity b.Dynamic Population context – community linkages Basic.
458 Fitting models to data – I (Sum of Squares) Fish 458, Lecture 7.
International Workshop on Subnational Population Projections using Census Data 17 – 18 January 2013 Beijing, China.
Food Webs in the Ocean Andrew W Trites Marine Mammal Research Unit University of British Columbia Who eats whom and how much?
Developing a statistical-multispecies framework for a predator-prey system in the eastern Bering Sea: Jesús Jurado-Molina University of Washington Jim.
A brief introduction to ecosystem modeling using Ecopath with Ecosim
Gunnar Stefansson Marine Research Institute/Univ. Iceland
GADGET - Globally applicable Area Disaggregated General Ecosystem Toolbox, Bjarte Bogstad, Institute of Marine Research, Bergen, Norway.
Three Simple Rules for Ecosystem-Based Fisheries Management Rainer Froese GEOMAR, Kiel, Germany Presentation at the ICCAT workshop in Madrid, Spain, 9-11.
Surplus-Production Models
Empirical and other stock assessment approaches FMSP Stock Assessment Tools Training Workshop Bangladesh 19 th - 25 th September 2005.
2. Multi-species models and concepts. No fish stocks live alone. Single species stock assessment is a simplification with important limitations: Technical.
Jesús Jurado-Molina School of Fisheries, University of Washington.
GOA Retrospective analysis Model use: hypothesis testing The system, the stories, and the “data” The model: Elseas; like Ecosim but more flexible for our.
Harvesting and viability
CLIOTOP WG4 ↔ WG5 Integrating biophysical and socio- economic models to address the Challenge(s) of Change.
Jennifer M. Marsh M.S. Fisheries Student School of Fisheries and Ocean Sciences University of Alaska Fairbanks.
Ecosim* overview for NEMoW *and spawn of Ecosim: related dynamic models including Ecospace Sarah Gaichas and Kerim Aydin, AFSC Chris Harvey, NWFSC John.
Trophic Ecosystem Models. Overview Logistic growth model Lotka volterra predation models Competition models Multispecies production models MSVPA Size.
The management of small pelagics. Comprise the 1/3 of the total world landings Comprise more than 50% of the total Mediterranean landings, while Two species,
Balanced Harvesting: Not Supported by Science Rainer Froese GEOMAR, Kiel, Germany Pew Fellows Meeting, Rio Grande 16 October 2015.
NOAA Chesapeake Bay Office Fisheries Ecosystem Modeling Efforts Howard Townsend, Hongguang Ma, and Maddy Sigrist NOAA Chesapeake Bay Office National Ecosystem.
The Influence of Spatial Dynamics on Predation Mortality of Bering Sea Walleye Pollock Pat Livingston, Paul Spencer, Troy Buckley, Angie Greig, and Doug.
Kray F. Van Kirk, SFOS, UAF, Juneau Terrance J. Quinn II, SFOS, UAF, Juneau Jeremy S. Collie, GSO, URI, Narragansett A Multispecies Age-Structured.
OEAS 604: Final Exam Tuesday, 8 December 8:30 – 11:30 pm Room 3200, Research Innovation Building I Exam is cumulative Questions similar to quizzes with.
Lecture 1 review Why managers cannot avoid making predictions Approaches to prediction Components of population change What is a “population”? How natural.
Multispecies Catch at Age Model (MSCAGEAN): incorporating predation interactions and statistical assumptions for a predator ‑ prey system in the eastern.
The influence of climate on cod, capelin and herring in the Barents Sea Dag Ø. Hjermann (CEES, Oslo) Nils Chr. Stenseth (CEES, Oslo & IMR, Bergen) Geir.
What questions do ecologists ask about communities? Structure Dynamics Function How many species? How do they compare in abundance? Who eats who? How do.
Continuous logistic model Source: Mangel M (2006) The theoretical ecologist's toolbox, Cambridge University Press, Cambridge This equation is quite different.
Day 4, Session 1 Abundance indices, CPUE, and CPUE standardisation
Population Dynamics and Stock Assessment of Red King Crab in Bristol Bay, Alaska Jie Zheng Alaska Department of Fish and Game Juneau, Alaska, USA.
Delay-difference models. Readings Ecological Detective, p. 244–246 Hilborn and Walters Chapter 9.
PRINCIPLES OF STOCK ASSESSMENT. Aims of stock assessment The overall aim of fisheries science is to provide information to managers on the state and life.
Root Finding Methods Fish 559; Lecture 15 a.
Ben Saylor1, Anagha Kulkarni1, Neo Martinez2, Ilmi Yoon1
Policy Evaluation II (Feedback strategies)
ECOPATH.
Energy Flow in Ecosystems
Fisheries Models To produce a good fisheries model, we must account for all contributions to reproduction, growth, and mortality, throughout the life cycle.
Presentation transcript:

Multispecies Models-II (Including Predation In Population Models) Fish 458, Lecture 27

Overview Predators as a fishery Minimal Realistic Models General ecosystem models (EcoPath / Ecosim) Note: Each type of model addresses a different set of questions. The choice of modelling framework depends on the question being addressed – there is no “correct” modelling framework.

Predators As A Fishery-I The objective is to model the numbers-at-age for a prey species given information on how the numbers of predators has changed over time (e.g. from an assessment of the predator species).

Predators As A Fishery-II The model of the population dynamics becomes: Fishery catch Numbers predated Annual predator ration Predator numbers Predator selectivity

Predators As A Fishery-III (Extensions) Each predator age-class has a different selectivity pattern (smaller predator age-classes feed on smaller prey). This model can be used to model cannibalism (i.e. the predator numbers are the prey numbers).

Predators As A Fishery-IV (Advantages and Disadvantages) Simple - only requires information on predator numbers and the ration of each predator age-class (in addition to the data for the prey species). Disadvantages: Ignores the dynamics of the predator species (the predator numbers are pre-specified). Ignores how the predator diet may change as the prey numbers change.

Minimal Realistic Models-I The objective of these models is to consider the interactions among a small number of species by developing a multi-species model with a small number of predators. An example of this type of model is that developed to examine the consequences of a cull of Cape fur seals to increase catches and catch-rates of Cape hake.

Herewith a“hake-centric” food web Even this web was too complex to parameterize! © Ocean of Life (1989)

X X X X X X X We will reduce the web to what can be fitted to using the existing data. X We remove all “small” links / prey species. Over 90% of the identified mortality on hake is still captured. X

Management The Seal-Hake “Minimal Realistic Model”

Management Model Structures and Management Systems Age-; sex- Cull scenarios Age-; sex- structured Catches Fixed F Species-; age- structured Delay-difference

Minimal Realistic Models-II (Advantages and Disadvantages) Limited data requirements (compared to more complicated models). Can be fitted to data using standard methods. Restricted to the set of “species of interest”. Disadvantages: Still highly data intensive. How can you be sure that the correct species are included in the model without building an even larger / more complicated model? The models need to be developed from scratch for each new application.

General Ecosystem Models (EcoPath / EcoSim) These models: sacrifice detail (e.g. age-structure and by grouping species) to represent a larger range of species and interactions; address broad-scale questions related to the structure of the ecosystem.

A “simplified” food web of the Benguela system! We need a “simple” model of each component to capture all the interactions.

EcoPath / Ecosim - I (EcoPath) EcoPath is a set of equations that describe trophic relationships among ecosystem components. A typical assumption is that the system is "balanced", i.e., the sum total of trophic interactions, production, and other mortality is zero or another constant. The EcoPath model provides the initial state of the system for projections into the future using the EcoSim model.

EcoPath / Ecosim - II The biomass of each component (a species or group of species) is governed by the differential equation: Fishing mortality Predation of species j Growth efficiency Predation by species j Other mortality

EcoPath / Ecosim - III The Ecosim predation equation can be parameterized to allow for “top-down” (predator) or “bottom-up” (prey) control.

EcoPath / Ecosim - IV Vulernability: 1 – Bottom-up control (amount consumed is linearly proportional to prey biomass and independent of predator biomass).  - Top-down control (amount consumed is proportional to the product of the prey and predator abundances). 3.333 – default value.

EcoPath / Ecosim - V (Advantages and Disadvantages) Can capture a large number of species and address whole-ecosystem questions. A software package (EwE) exists that implements this model. This package is used by many users. Extensions to the model exist to: allow for predator handling time; include spatial structure (EcoSpace); include age-structure; include forcing functions (e.g. changes over time in primary production); fit the model to time-series of abundance estimates (e.g. from surveys.

EcoPath / Ecosim - VI (Advantages and Disadvantages) Highly data intensive - for each component information is required on: biomass, the production/biomass ratio, the consumption/biomass ratio, diet, fishing mortality, and “other” mortality. Although flexible, the predation function does not capture all possible hypotheses for the interaction between prey and predators. The results are often sensitive to the values assumed for the vulnerability parameters (beware of the default values).

Final Notes Disagreements between the predictions of single- and multi-species models can be informative and lead to the generation of hypotheses for system behaviour. Caution should be exercised in making use of the predictions of multi-species models unless there is substantial agreement across different approaches.

Readings Punt and Butterworth (1995). Walters et al. (1997).