NSFDEB-NERC: Gigante: Quantifying and upscaling the causes and drivers of death for giant tropical trees
Lead Research Organisation:
University of Birmingham
Department Name: Sch of Geography, Earth & Env Sciences
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.
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.
Organisations
- University of Birmingham (Lead Research Organisation)
- UNEMAT - Nova Xavantina (Collaboration)
- National Institute of Amazonian Research (Collaboration)
- University of Alabama in Huntsville (Collaboration)
- University of Montana (Collaboration)
- Institute of Development Research (IRD) (Collaboration)
- Smithsonian Institution (Collaboration)
- National University of Malaysia (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- University of California, Los Angeles (UCLA) (Collaboration)
- Cary Institute of Ecosystems Studies (Project Partner)
Publications

Araza A
(2023)
Past decade above-ground biomass change comparisons from four multi-temporal global maps
in International Journal of Applied Earth Observation and Geoinformation

Bennett A
(2023)
Sensitivity of South American tropical forests to an extreme climate anomaly
in Nature Climate Change

Flores BM
(2024)
Critical transitions in the Amazon forest system.
in Nature
Title | Field tree forensics protocol |
Description | Development of novel field tree forensics field protocol to identify proximate causes of giant tree mortality and evaluate forests gaps after disturbance. This protocol has been developed in the Panama site and has already been tested and implemented at this field site. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2024 |
Provided To Others? | No |
Impact | Development of novel field tree forensics field protocol to identify proximate causes of giant tree mortality and evaluate forests gaps after disturbance. Protocol has been developed in the Panama site and has already been tested and implemented at this field site. |
Title | Heart rot field protocol |
Description | Development of heart rot field protocol to identify heart rot in dead giant trees to inform the data from the tree forensics protocol. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2024 |
Provided To Others? | No |
Impact | Novel heart rot field protocol to identify heart rot in dead giant trees to inform the data from the tree forensics protocol. |
Title | Pipeline for analysing drone imagery to produce orthomosaics |
Description | Design of pipeline for analysing drone imagery to produce orthomosaics (colour images of large forest areas at high resolution) and three-dimensional forest canopy, align this imagery over time, and locate tree damage and death events. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2024 |
Provided To Others? | No |
Impact | We will be able to produce orthomosaics (colour images of large forest areas at high resolution) and three-dimensional forest canopy, align this imagery over time, and locate tree damage and death events. |
Title | Novel database on forest demography |
Description | Largest database on forest demography for any single forest site, with 9.2 million records of tree survival or death across 128 ha with up to 40 years of monitoring. |
Type Of Material | Data analysis technique |
Year Produced | 2024 |
Provided To Others? | No |
Impact | This will allow for investigation on the key and undervalued importance of long-lived giant trees to tropical forest function. We have a working paper on this at the moment led by the Cary-based postdoc Vanessa Rubio. |
Description | Dr Flavia Costa, INPA |
Organisation | National Institute of Amazonian Research |
Country | Brazil |
Sector | Public |
PI Contribution | Continued collaboration with Flavia Costa, including co-authoring a funding proposal to Brazilian government that was funded to support hydraulic trait measurements |
Collaborator Contribution | To early to report |
Impact | To early to report |
Start Year | 2024 |
Description | Elsa Ordway UCLA |
Organisation | University of California, Los Angeles (UCLA) |
Country | United States |
Sector | Academic/University |
PI Contribution | Develop collaboration with Elsa Ordway (UCLA) to implement a new Gigante field site in Cameroon. |
Collaborator Contribution | Elsa is collaborating with our team to help implementing the field site in Cameroon. |
Impact | First conversations and agreements to put this new site in place. |
Start Year | 2024 |
Description | Helene Muller-Landau and Stuart Davies (Smithsonian Tropical Research Institute) |
Organisation | Smithsonian Institution |
Department | Smithsonian Tropical Research Institute |
Country | Panama |
Sector | Academic/University |
PI Contribution | Collaboration to coordinate of LiDAR flights across our study area in Panama in mid-2023, this will help to create baseline for structural changes across the forest. |
Collaborator Contribution | Helene Muller-Landau (Smithsonian Tropical Research Institute), Stuart Davies (Smithsonian Tropical Research Institute) will be providing data from the prior LiDAR flights. |
Impact | To early to report |
Start Year | 2023 |
Description | Jedediah Brodie (University of Montana) |
Organisation | University of Montana |
Country | United States |
Sector | Academic/University |
PI Contribution | Internal information about general research in Danum Valley and Malaysia and access to in-country collaborations. Potential collaboration with Phenology work. |
Collaborator Contribution | Advances on the permit stage in Malaysia and potentially sharing drone permit in country. |
Impact | First meetings for understanding permitting system in Malaysia. |
Start Year | 2024 |
Description | Nicolas Barbier and Pierre Ploton (IRD, France) |
Organisation | Institute of Development Research (IRD) |
Country | France |
Sector | Academic/University |
PI Contribution | Develop collaboration to implement field site in the Dja Reserve in Camaroon. |
Collaborator Contribution | Internal information about Dja Reserve in Camaroon and access to in-country collaborations. |
Impact | Advances developing collaborations in the Dja Reserve in Camaroon, plan to move field site to Carmaroon as part of this collaboration. |
Start Year | 2024 |
Description | Phillip Bitzer and Jeffrey Burchfield (both of The University of Alabama in Huntsville) |
Organisation | University of Alabama in Huntsville |
Country | United States |
Sector | Academic/University |
PI Contribution | Collaboration to locate lightning strikes and their intensity across our study site in Panama |
Collaborator Contribution | Develop of parallel proposal and working together with on novel techniques to detecting lightning strikes. |
Impact | To early to report |
Start Year | 2024 |
Description | Prof Beatriz Marimon (UNEMAT) |
Organisation | UNEMAT - Nova Xavantina |
Country | Brazil |
Sector | Academic/University |
PI Contribution | Developed collaboration with Prof Beatriz Marimon to hire staff, coordinate foreign field research, and lay the groundwork for our first field campaign in the Southern Amazon. |
Collaborator Contribution | Help formalising agreements with UNEMAT |
Impact | Hire staff in Nova Xavantina fieldsite and recruited a new PhD student (Gustavo Lemes) based at UNEMAT. |
Start Year | 2024 |
Description | Prof David Galbraith and Emmanuel Gloor (University of Leeds) |
Organisation | University of Leeds |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Collaboration in the site in Southern Amazonia to facilitate data collection and scientific outputs related to questions in the region. |
Collaborator Contribution | Helpoing to hire staff, coordinate foreign field research, and lay the groundwork for our first field campaign in the southern Amazon |
Impact | Have recruited a PhD student, Gustavo Lemes to work on location-related questions. |
Start Year | 2023 |
Description | Shafrina Wan (University of Malaysia) |
Organisation | National University of Malaysia |
Country | Malaysia |
Sector | Academic/University |
PI Contribution | Implementation of the Malaysia field campaign to maximise the outputs from data collection and facilitate logistics on the ground. Early collaboration with Adriane Esquivel Muelbert and Evan Gora. |
Collaborator Contribution | Internal information about general research in Danum Valley and Malaysia and access to in-country collaborations. |
Impact | Advances on the permit stage in Malaysia and potentially sharing drone permit in country. |
Start Year | 2024 |