-
dryland ecosystems. These data will contribute to improving our understanding and predictions of dryland carbon cycles under global environmental change, such as rising CO2 and temperature, and thus
-
platform for the candidate to integrate knowledge and expertise to assess and predict seasonal to interannual changes in dryland plant carbon-water relations across scales under global environmental change
-
of Prof. T. Ilyana Present and publish project results in conferences and scientific journals Your profile Successfully completed PhD-thesis in environmental science or environmental engineering
-
development A scientific background in one of these fields: computer sciences, mathematics, climate sciences, physics, environment, ecology, geography or remote sensing sciences (MSc required, holding a PhD is