Dr Arnaud Gruss

Fisheries Population Modeller

Qualifications

* Master 2 in fisheries and aquatic sciences, Ecole National Supérieure d’Agronomie de Rennes (ENSAR), Agrocampus Ouest, Rennes, France 

* PhD in fisheries sciences, Centre de Recherche Halieutique Méditerranéenne et Tropicale (CRH), Sète, France

Location
Wellington
Science Centre

Contact Details

Biography

Overview

I am a senior fisheries scientist based at NIWA Wellington.

My area of expertise is spatial and spatio-temporal modelling, using statistical and mechanistic models. I employ a variety of modelling tools for my work, including, among others, the vector autoregressive spatio-temporal (VAST) modelling platform, software packages created at NIWA such as CASAL, Casal2 and the Spatial Population Model (SPM), and dynamic structural equation models (DSEMs).

I am working on a diversity of national and international projects, for a wide range of partners and clients. My projects support stock, habitat, climate-vulnerability, ecosystem and risk assessments and various resource management efforts.

One of my main current projects consists of developing new forecasting capabilities for spatio-temporal models to understand the potential future distribution and abundance patterns of fish populations under climate change and fishing scenarios. 

Background

My background is in fisheries science. After completing my Masters at the Ecole National Supérieure d’Agronomie de Rennes (ENSAR; Agrocampus Ouest) in France, I did my Ph.D. at the Centre de Recherche Halieutique Méditerranéenne et Tropicale (CRH), in Sète, also in France.

Following this, I spent eight years in the USA at the University of Miami and then at the University of Washington School of Aquatic and Fishery Sciences as a postdoctoral research associate, then an Assistant Scientist, then an Acting Instructor.  My research activities in the USA have mainly involved ecosystem modelling, species distribution modelling, and investigations with the VAST modelling platform.

I started work at NIWA Wellington, in the Population Modelling group, in September 2020.