Discipline
Conservation Biology
Methodology
Spatial statistics and quantitative ecology
Date
01 Jul 2024
Description
Alarmingly, less than 14% of the world's ecosystem types are subject to high resolution, earth observation based mapping and monitoring programs. This project aims to address this need by develop and rigorously test new ecosystem distribution models, which integrate earth observation data with conceptual ecosystem models to support a range of conservation and regulatory applications.
Keywords
ecosystems;global change;ecological statistics;quantitative methods
Would Suit Applicants Who
Are interested in quantitative methods such as machine learning and deep learning to address a significant knowledge gap that is hindering our ability to conserve ecosystems at large spatial scales.