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OVERVIEW

The core objective of the modelling theme is to develop tools that can help understand the implications of landscape management options. While different drivers, services, interactions, and beneficiaries will feature across our core working landscapes, we develop common methods to address fundamental aspects ecosystem complexity and document how populations benefit from ecosystem service flows. These are often absent from existing ES models and frameworks.

CHALLENGES FACING MODELLING OF ES PROVISIONS AND DEMAND

• Choosing which aspects of ecosystem complexity to incorporate into modelling, and the level of complexity
• Linking communities to the ecosystems upon which they depend​​

• Modelling distal and tele-coupled connections between the environment and people
• Building on innovative modelling work happening across the world​​

KEY CONCEPTS

• Ecosystem complexity
• Social-Ecological Systems / Coupled human-natural systems
• Ecosystem service dependency

RESEARCH OBJECTIVES

1. Advance the frontiers of ecosystem services modelling by integrating core components system complexity – e.g., non-linearities, feedbacks, teleconnections, and landscape legacies – into ecosystem service production models.
2. Integrate communities into models to better account for how ecosystem service flows are captured by human beneficiaries on the landscape. We aim to bring these two research objectives together into a coupled framework that can reliably and accurately predict and understand the implications of landscape management decisions.

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EXPECTED OUTCOMES

1. Develop a generalized model that is applicable to any Canadian landscape using publicly available data suitable for higher-level analysis.
2. Develop landscape-specific models for a select number of our working landscapes using landscape-specific data to address more specific problems.

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​FOR RESEARCH QUESTIONS, PLEASE CONTACT:​

Brian E. Robinson, McGill University
[email protected]  -  514-398-3453  -  website  -  twitter:@brianer

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next theme: theme 3

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THEME 2 TEAM LEADS

LAEL PARROTT

BRIAN E. ROBINSON

THEME 2 TEAM

Gaëlle Mével
​she/her

MASTER"S STUDENT
​

​McGill University

​

​Yiyi Zhang 
​she/her

phd student

​​McGill University

​​

​Ehsan Pashanejad
​he/him

PhD student 

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​University of British Columbia
​

Mary Ruckelshaus
​

COLLABORATOR

​
Natural Capital Project

​

Merritt Turetsky
​

COLLABORATOR

University of Guelph​​​

​Matt Carlson
​

COLLABORATOR

ALCES​​​

Lilian Sales
​

ALUM

 ​​

​Hugo Thierry
​he/him

aLUMNUS

​

PARTNER ORGANIZATION

ALCES
​

Learn More

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