Bar-EcoRe WP3: Population distributions. Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Bar-EcoRe, WP3: Population distribution.

Slides:

Advertisements

Similar presentations

Bar ents Sea Ec osystem Re silience under global environmental change BarEcoRe (pronounce Bar í kår)

Advertisements

Barents Sea Ecosystem Resilience under global environmental change Annual Meeting – 4-7 December Paris.

Barents Sea Ecosystem Resilience under global environmental change Annual Meeting – 4-7 October Herdla.

Synthesis workshop 1: Geographical synthesis May Tromsø

BarEcoRe Data Analysis Workshop - Characterising the structure and dynamic of ecological communities - 22 – 24 March 2011, Tromsø

Barents Sea Ecosystem Resilience under global environmental change Annual Meeting – December Paris.

BarEcoRe: Bar ents Sea Ec osystem Re silience under global environmental change Food-web topology workshop 8-9th June 2011.

Benthic Assessments One benthic ecologists concerns and suggestions Fred Nichols USGS, retired.

Exploratory methods to analyse output from complex environmental models Exploratory methods to analyse output from complex environmental models Adam Butler,

Population in Ecology.

POPULATION ECOLOGY.

Agent-based Modeling: A Brief Introduction Louis J. Gross The Institute for Environmental Modeling Departments of Ecology and Evolutionary Biology and.

How many possums and where? The National Possum Model James Shepherd & Mandy Barron.

Parameterising Bayesian Networks: A Case Study in Ecological Risk Assessment Carmel A. Pollino Water Studies Centre Monash University Owen Woodberry, Ann.

NSF and Environmental Cyberinfrastructure Margaret Leinen Environmental Cyberinfrastructure Workshop, NCAR 2002.

OUR PLANET Unit 1-4a Understanding Populations For this unit only… Please use the abbreviation Pop. to represent Population. This will greatly reduce the.

Chapter #16 – Community Structure

Integrated Ecosystem Assessment for the Gulf of Mexico Becky Allee Gulf Coast Services Center.

Noëlle BRU Laboratoire de Mathématiques et ses Applications UMR CNRS 5132 Université de Pau et des Pays de l’Adour  : Patrick PROUZET.

Community  Collection of species populations  Members from most kingdoms  Linked in a web  Mainly predator/prey  Environment & habitat / Dominant.

Population Dynamics Biology.

Ecological processes in a changing climate: winners and losers Third US GLOBEC Pan Regional Workshop 20 February 2009 J. Runge, presenter.

Population Dynamics SOL BIO 9a. BIO SOL: 9a The student will investigate and understand dynamic equilibria within populations, communities, and ecosystems.

Levels of Organization & Relationships (2.1)

ENVIRONMENTAL STUDIES. BIOSPHERE Combined portions of Earth in which all living things exist.

Ecosystems and Ecosystem Management

Space, Relativity, and Uncertainty in Ecosystem Assessment of Everglades Restoration Scenarios Michael M. Fuller, Louis J. Gross, Scott M. Duke-Sylvester,

Spatial distribution of fish stocks in a climate perspective Nordic Climate Fish Conference 2011, Solstrand Geir Odd Johansen.

Morse: Climate information - epidemic early warning GEO Meningitis Environmental Risk Connecting climate information to epidemic early warning - experiences.

BioComplexity: New Approaches to Big, Bad Problems, or the Same Old Dreck? Louis J. Gross The Institute for Environmental Modeling Departments of Ecology.

Criterion 1: Conservation of Biological Diversity Indicator Refinement: What is the state of Indicator Science? 1. Overview of the Criterion 2. Review.

XIth International Congress for Mathematical Geology - September 3-8, 2006 – Liège, Belgium Contribution of GeoScienceML to the INSPIRE data harmonisation.

Priority 8 Call for Proposals Task 2: Understanding the mechanisms of stock recovery Objective: ”The objective of this task is to apply all available and.

Northwest Power and Conservation Council Sep 12-13, Science Policy Exchange Habitat Issues.

S. Shumilov – Zürich Analytical Visualization Framework - a visual data processing and knowledge discovery system Ivan Denisovich, Serge Shumilov Department.

Fisheries 101: Modeling and assessments to achieve sustainability Training Module July 2013.

O RGANISMS AND THEIR R ELATIONSHIPS. Ecology  The study of relationships between living organisms and the interaction they have with their environments.

Ecology Chapter 2. What is Ecology? Ecology is the study of interactions that take place between organisms and their environment. Ex. Bird on a tree limb.

Ecosystem Research Initiative (ERI) for the Gulf of Maine Area (GoMA)

Building ecological concepts. Something that you can´t explain in your own words is unknown Here is a list of concepts that you will need for the next.

Population Dynamics SB4 a & d. The student will investigate and understand dynamic equilibria within populations, communities, and ecosystems. Key concepts.

Using Population Data to Address the Human Dimensions of Population Change D.M. Mageean and J.G. Bartlett Jessica Daniel 10/27/2009.

Structure and Function of Marine Ecosystems Steven Murawski Ph.D. Director, Office of Science & Technology National Marine Fisheries Service  Challenges.

Marine Ecosystems.

Key Evidence Needed for Informed Policy Formulation Understanding the relationship between biodiversity and ecosystem services Assessing the response of.

Ecology --- primary definition The scientific study of how organisms interact with the natural world.

Group D: Invasive Species Management Tools and Technologies Q1: Critical Scientific Issues What makes a species invasive including data on dispersal &

Next Generation Climate Related Standards (2013) K Middle School High School K-PS3-1. Make observations to determine the effect of sunlight on Earth’s.

North Atlantic LCC Science Needs and Projects Background Vision and Mission 2010 Projects (review, status, next steps) 2011 Science Needs Assessment, Workshop.

7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.

2.1 Organisms and Their Relationships Regents Biology We share the Earth… Ecology & Environmental Issues.

Chapter #16 – Community Structure

Population Dynamics!.

Habitat Climate Adaptation Tool (in development)

Overview and Background of the Multi-scale Integrated Model of Ecosystem Services ( MIMES) Roelof Boumans February 2016 LABELS ON THE SLIDE?

Across Trophic Level System Simulation (ATLSS)

Population Dynamics SOL BIO 9a.

Adam Butler, Biomathematics and Statistics Scotland

Levels of Organization & Relationships (2.1)

Demographic or ecosystem management?

Species distribution modeling ideas

Population in Ecology.

Making Ocean Life Count: The Census of Marine Life and Beyond

Population Dynamics.

What controls the spatial distribution of spawning anchovy in the Bay of Biscay ? - a multi-model approach C. Loots1, B. Planque2, S. Vaz1, P. Koubbi3,

Population Dynamics SOL BIO 9a.

IBI’s: An Introduction

Levels of Organization & Relationships (2.1)

Presentation transcript:

Bar-EcoRe WP3: Population distributions

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Bar-EcoRe, WP3: Population distribution Objective of WP3: investigate the effects of future climatic conditions and other environmental or human stressors on the spatial distribution of Barents Sea plankton, benthos and fish populations. 2 components: 1.historical reconstructions and projections of climate scenarios 2.statistical spatial distribution models for plankton, benthos and fish populations

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions projecting spatial distributions niche-based models + predicted spatial distribution environment biological response climate forecast/scenario

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions A general view of the modelling method adapted from Anderson, 2010

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Evaluating uncertainties Scale(s) adaptation future world

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions uncertainties in conceptual models spatial distribution geographical attachment environmental conditions density dependent habitat selection spatial dependency demographic structure Persistence species interactions

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Bar-EcoRe, WP3: Population distribution Pops. spatial distribution Environmental conditions (climate, habitat, pollution, etc.) Pops. History (demography, size, etc.) Population distribution models (PDMs) Model evaluation & selection PDMs PASTPOSSIBLE FUTURES Environment Pop state Environment Pop state Pops. spatial distribution Climate Fishing Climate Fishing PDMs ensemble modelling

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Past and Future climate & other stressors Past ocean climate will come from historical Atlas of hydrographic conditions (FishExchange) for the period Future climate will be derived from downscaled ocean climate simulations for the period Other stressors will not be considered explicitely, but through their expected effects on populations (abundance, demographic structure,...)

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Activities Year 1: Data & information assembly (past situations). Development of conceptual models. Experiment with existing tool-kits. Year 2: Numerical formulation and coding for few species. Model evaluations and development of ensemble models. Climate model runs for Year 3: Extension of model development to all species. Input of future climate and biological scenarios. Ensemble forecasts.

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Feasibility and limitations Feasibility: Statistical models for spatial distribution do exists (mostly terrestrial) and ready-made tools are currently available (ex: BIOMOD) The statistical modelling activity will be carried out by a dedicated post- doc Limitations: Availability of adequate data (climate & biological) Availability of adequate information (e.g. species interactions) to construct the models Time needed for developing and coding models outside existing tools Computing time for complex ensemble modelling

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Connections to other WPs WP1: Community structure WP2: Trophic interaction WP4: Resilience & Early warning Past climate & climate models data and concepts modelled distributions WP3: Population distribution

Bar-EcoRe kick-off meeting 15/06/2010 – WP3: population distributions Thank you