Details of Award
NERC Reference : NE/Y003942/1
NSFDEB-NERC: Gigante: Quantifying and upscaling the causes and drivers of death for giant tropical trees
Grant Award
- Principal Investigator:
- Dr A Esquivel Muelbert, University of Birmingham, Sch of Geography, Earth & Env Sciences
- Co-Investigator:
- Professor EU Gloor, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor SL Lewis, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor D Galbraith, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor OL Phillips, University of Leeds, Sch of Geography
- Grant held at:
- University of Birmingham, Sch of Geography, Earth & Env Sciences
- Science Area:
- Terrestrial
- Overall Classification:
- Panel C
- ENRIs:
- Biodiversity
- Global Change
- Science Topics:
- Terrestrial communities
- Tropical forests
- Community Ecology
- Conservation Ecology
- Ecosystem services
- Population dynamics
- Population Ecology
- Biodiversity
- Ecosystem function
- Biomass & CCS
- Carbon storage
- Carbon Capture & Storage
- Abstract:
- The land carbon sink depends on the persistence of giant tropical trees. The largest 1% of trees store half the carbon in tropical forests and their deaths release this carbon back to the atmosphere, but we do not know what kills these trees because their deaths are rarely described. A novel sampling strategy is needed to effectively monitor the life and death of giant tropical trees. Gigante will integrate remote sensing and frequent field surveys to answer: (1) What kills giant trees and how do their mortality rates vary over space and time? (2) What are the risk factors underlying variation in giant tree mortality rates? and (3) How does giant tree mortality risk influence pantropical carbon stocks? We will locate giant tree mortality events using multi-platform, high-frequency remote sensing of 7,500 ha across five tropical forest super sites. These data will facilitate targeted field surveys using detailed state-of-the art protocols to assign proximate agents of mortality to recently dead trees in an unprecedently large field study. We will integrate these data with information about climate, topography, canopy structure, and tree traits to validate mechanistic models of tree mortality risk. Finally, combining these risk models with forest plots and satellite LiDAR, we will evaluate how drivers of giant tree death predict spatial variation in forest dynamics, structure, and carbon storage. The validation of geospatial relationships will allow us estimate the contributions of giant tree mortality to pantropical forest carbon stocks.
- NERC Reference:
- NE/Y003942/1
- Grant Stage:
- Awaiting Event/Action
- Scheme:
- Standard Grant FEC
- Grant Status:
- Active
- Programme:
- Lead Agency Grant
This grant award has a total value of £244,862
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DA - Other Directly Allocated | DI - T&S |
|---|---|---|---|---|---|---|
| £15,294 | £43,189 | £70,732 | £33,479 | £9,076 | £30,352 | £42,738 |
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