LPJ-GUESS

Dnr:

SNIC 2016/1-441

Type:

SNAC Medium

Principal Investigator:

Ben Smith

Affiliation:

Lunds universitet

Start Date:

2016-11-01

End Date:

2017-11-01

Primary Classification:

10501: Klimatforskning

Secondary Classification:

10503: Multidisciplinär geovetenskap

Tertiary Classification:

10611: Ekologi

Webpage:

http://www.nateko.lu.se/lpj-guess/

Allocation

Abstract

The group works with simulating the effects of global change and changes in atmospheric composition on the structure and functioning of terrestrial ecosystems, as well as feedbacks of ecosystem and land cover changes on the climate system. Vegetation dynamics, species distributions and biodiversity at global, regional and local scales are a particular focus. Our approach is based around developing and applying a process-based ecosystem modelling framework, LPJ-GUESS, with input data from climate observations, models, proxy data or scenarios. LPJ-GUESS (Smith et al. 2001) is an object-oriented, modular framework for modelling the dynamics of ecosystem structure and functioning at scales from the patch to the globe, and at varying levels of process detail. The framework incorporates process-based representations of plant physiology and ecosystem biogeochemistry, derived from the BIOME3 family of models (Haxeltine & Prentice 1996) and LPJ-DGVM (Sitch et al. 2003).