Tatsiana Barychka

Tatsiana Barychka

Profile Display Name:

Tatsiana Barychka

E-mail Address:


Start Year

2014 (Cohort 1)

Research interests:

Modelling distribution of ecosystem services using empirical data and novel mechanistic General Ecosystem Model (the Madingley). Evaluating and comparing optimal use scenarios to produce management recommendations.

Hobbies and interests:

PhD Project
PhD Title

Using an Ecosystem Model to evaluate harvesting strategies and identify optimal use scenarios

Research Theme

Biodiversity and Ecology

Primary Supervisor
Primary Institution


Secondary Supervisor
Secondary Institution


CASE Partner

Microsoft Research

CASE Supervisor

Drew Purves


Growing economies and rising population drive worldwide demand for meat, timber and other natural resources. There is a concern that these dominate land-use and that other ecosystem services people rely on can be compromised. I propose to establish whether the search for sustainable solutions can be facilitated by applying a General Ecosystem Model (GEM). The Madingley Model is a new class of mechanistic models that is based on key ecological and biological principles and can be used to simulate the fate of all organisms, their interactions, how they may be impacted by climate and by anthropogenic activities. First, I implement the model and ground-truth it for its application to local harvesting and other ecosystem services. Next, I investigate the effects of different harvesting strategies and identify maximum sustainable yields, under different assumptions. By taking into consideration bioeconomic constraints such as market price for wild resources, I plan to make my management recommendations more realistic and therefore, more defensible. On a global scale, I will incorporate different land- and sea-use scenarios to suggest optimal resource use. This project is unique in that it uses a novel but potentially very powerful General Ecosystem Model to evaluate anthropogenic influences on multiple ecosystem services.

Policy Impact
Background Reading



UNEP WCMC, supervised by Dr Michael Harfoot. 13/03/2017 – 11/06/2017.

Social Links
University Departmental Website:

Personal Website:




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