Testing a mechanistic general model of global ecosystems: improving prediction by increasing simplicity?
Lead Research Organisation:
University College London
Department Name: Genetics Evolution and Environment
Abstract
The Madingley Model was developed as the first general ecosystem model, (GEM), which has a mechanistic basis and is able to be applied to both terrestrial and marine environments. It utilises small-scale events, (e.g. deaths), to make predictions for patterns at the ecosystem scale. Several of the predictions made by the Madingley Model are observed in empirical data, whilst other predictions raise interesting questions regarding ecological processes.
People |
ORCID iD |
David Murrell (Primary Supervisor) | |
BENJAMIN BURGESS (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
NE/M010481/1 | 01/10/2015 | 01/10/2021 | |||
1909172 | Studentship | NE/M010481/1 | 01/10/2017 | 31/03/2021 | BENJAMIN BURGESS |
Title | Database - Freshwater Communities - Multiple Stressors |
Description | Database comprising interactions of multiple stressors in freshwater communities - to be compared to general model predictions |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | No |
Impact | At present - none to report |