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February 11, 2020

Alex has won an NSF CAREER grant from the Terrestrial Ecosystems program at NSF. The intellectual thrust of this five year grant will be to use CARDAMOM to study spatial patters in ecosystem parameters. That is, can more informative alternatives to plant functional types be derived across the globe from remote sensing data? The project will consider several ecosystem parameters, but particularly consider those related to heterotrophic respiration;

January 8, 2020

You can read this article here while it is in review. Greg and Alex contributed to this analysis. This paper uses CARDAMOM to demonstrate that lagged effects (e.g. changes in carbon pool sizes due to climate in previous years) have a greater effect on interannual variability in terrestrial carbon fluxes than direct responses to climate (which are much more commonly studied) do.

December 8, 2019

Here are our presentations:
1) Greg's Monday talk on CARDAMOM historical CO2 attribution: B11B-03
2) Nathan's Monday poster on mapping Southeast Asian peatland canals: H13K-1857
3) Yanlan's Monday talk on the interactions between plant hydraulics and VPD sensitivity: B12A-03
4) Caroline's Tuesday poster on extreme wet vs dry effects on NDVI: B21G-2407
5) Alex's Tuesday talk on Krishna's work predicting mortality with VOD: B22E-02
6) Alex's Thursday panel participation on the past and future of hydrological remote sensing: H41D-07
7) Krishna's talk on SAR-based high-resolution maps of live fuel moisture content: NH52A-03
8) Natan's poster on fieldwork showing the VOD - xylem water potential link: H51M-1657

December 1, 2019

As one of the associate editors for the Data-driven Climate Sciences section of Frontiers in Big Data, Alex is co-editing a research topic (virtual special issue) on 'Big Data for understanding tropical ecosystem services' together with Kyle Davis and Rafael Schmitt. We are interested in a wide variety of topics related to using data to better understand ecosystem service variability in the sparsely observed tropics. Papers should use at least two different types of data. More details on the special issue can be found here. Abstracts are due March 1st, 2020.