Process understanding of dryland vegetation dynamics in a changing world |
Jianbei Huang
,
Susan Trumbore
,
Bojie, Fu
,
Shilong, Piao
,
Sönke Zaehle
|
Project descriptionDrylands cover ~40% of global land area, are home to ~40% of the global population and harbor more than 20% of global biodiversity. However, drylands face significant challenges from climate change (e.g. changes in temperature and precipitation patterns) and intensified anthropogenic activities and disturbance (e.g. over-grazing) leading to land degradation and desertification. Despite the severe consequences, our ability to accurately assess and predict vegetation dynamics remains uncertain, largely due to lack of understanding of the biological and ecological mechanisms/processes driving the spatial-temporal dynamics of dryland vegetation under climate change and land use changes.In the framework of a highly collaborative and interdisciplinary project between the Max Planck Institute for Biogeochemistry (MPI-BGC) and Chinese Academy of Sciences (CAS-RCEES and CAS-ITP), this PhD project provides a unique platform for the candidate to integrate resources and expertise across disciplines to improve our understanding and predictions of dryland carbon-water relations under global environmental change, such as rising CO2, increasing aridity and temperature, and nitrogen deposition. Specifically, the candidate will: 1) use state-of-the-art lab protocols to examine the key functional traits/processes that determine plant carbon-water relations; 2) combine collected data and existing databases (e.g., TRY, FLUXNET) to investigate carbon-water relations across scales; 3) collaborate with modelers to improve predictions of dryland carbon-water relations under global environmental change scenarios. Working group & cooperationsThe successful applicant will be affiliated with the MPI-BGC Processes Department (Dr. Jianbei Huang and Prof. Susan Trumbore), and will benefit from close collaborations with the MPI-BGC Signals Department (Prof. Sönke Zaehle, Terrestrial Biosphere Modelling), CAS-RCEES (Prof. Bojie Fu, ecosystem service assessment), and CAS-ITP (Prof. Shilong Piao, eddy-covariance fluxes and remote sensing). As part of the joint MPG-CAS research project, the PhD candidate also has the opportunity to collaborate with researchers from other MPI and CAS institutions, spanning multiple disciplines.RequirementsApplications to the IMPRS-gBGC are open to well-motivated and highly-qualified students from all countries. Prerequisites for this PhD project are
![]() The stable isotope (left) and radiocarbon (right) lab that can provide strong support for the PhD project. © IsoLab and 14C Analysis group |