Forecasting the impacts of drought on human-modified tropical forests by integrating models with data
Lead Research Organisation:
University of Bristol
Department Name: Biological Sciences
Abstract
Tropical forests are among the most biodiverse ecosystems on the planet and play a critical role in slowing climate change by absorbing huge amounts of CO2 from the atmosphere through photosynthesis. Yet these ecological powerhouses are increasingly under threat from rampant deforestation and a rise in the frequency of extreme climate events such as droughts. Understanding how tropical forests will respond to these pressures has therefore emerged as a key priority for ongoing efforts to safeguard their biodiversity and the services they provide to society. Working in Borneo - where deforestation rates since the 1970s have been among the highest in the world - this project will explore the extent to which logging tropical forests jeopardises their ability to cope with drought. By combining field experiments with cutting-edge 3D remote sensing technologies and process-based modelling, I aim to uncover how drought impacts the carbon cycle of logged tropical forests: from the growth and survival of seedlings on the forest floor to the dynamics of whole ecosystems across Borneo. In doing so I will shed light on the limits of tropical forests to withstand climate change and develop the tools needed for protecting these ecosystems as we strive to transition towards a more sustainable future.
Planned Impact
Who will benefit as a result of this fellowship?
The proposed research will directly and indirectly benefit a range of non-academic stakeholders working in Borneo and beyond. These include (i) regional conservation and sustainable development non-governmental organizations (NGOs) such as the South East Asia Rainforest Research Partnership (SEARRP), the Heart of Borneo Rainforest Foundation and the Roundtable on Sustainable Palm Oil (RSPO), (ii) state government bodies such as the Sabah Forestry Department (SFD), (iii) industry partners that rely on remote sensing technologies for ecosystem monitoring and carbon accounting, including Permian Global, Carbomap and Ecometrica, as well as (iv) the general public.
How will they benefit from this research?
In recent decades Sabah has emerged as an important testbed for international efforts to conserve and sustainably manage tropical forests. This project will directly inform the strategy of conservation and sustainable development NGOs working in the region. For instance, SEARRP and the Heart of Borneo Rainforest Foundation will be able to tailor their conservation and restoration projects based on a better understanding of the resilience of tropical forests to habitat degradation and climate change. Similarly, the project will provide robust data for organisations such as RSPO to refine and enforce its certification schemes for suitable oil-palm production.
The project will also help regional government bodies such as SFD to make complex decision on how best to manage forests in the region to meet multiple (and oftentimes conflicting) objectives (e.g., timber production and carbon sequestration). For instance, the carbon dynamics models developed through this project will allow SFD to refine its annual allowable cut estimates to ensure they are sufficient to support local livelihoods without becoming unsustainable. Similarly, the project will provide critical data to inform decisions on where to set aside land for conservation to ensure the best outcomes for both biodiversity and carbon storage under current and future climate scenarios.
Industry stakeholders also stand to benefit as a result of this project. Permian Global - an investment firm dedicated to the protection and recovery of tropical rainforest to mitigate climate change - will be able to leverage the forest dynamics models developed through this project to improve the carbon stock trajectories that underpin the REDD+ projects they oversee in the region. By doing so they will be able to better estimate their pool of carbon credits and increase their value on the market. Additionally, industry partners that rely on remote sensing data for ecosystem monitoring and precision forestry - including the Edinburgh based Carbomap and Ecometrica - will be able to advance their workflows by incorporating new approaches for fusing repeat LiDAR and satellite data developed through this project.
Finally, this project will provide a powerful platform to raise awareness among the general public on the consequences of land-use intensification in the tropics for biodiversity and climate change on a global scale. Addressing these issues is central to meeting the United Nations Sustainable Development Goals, but these topics can often feel far removed. In this regard remote sensing technologies such as LiDAR and high-resolution satellite imagery provide an intuitive way to communicate the scale and speed at which human activity is reshaping our planet. Leveraging these immersive digital platforms I hope to engage and instil a sense of curiosity in the next generation of scientists, explorers and policy makers.
The proposed research will directly and indirectly benefit a range of non-academic stakeholders working in Borneo and beyond. These include (i) regional conservation and sustainable development non-governmental organizations (NGOs) such as the South East Asia Rainforest Research Partnership (SEARRP), the Heart of Borneo Rainforest Foundation and the Roundtable on Sustainable Palm Oil (RSPO), (ii) state government bodies such as the Sabah Forestry Department (SFD), (iii) industry partners that rely on remote sensing technologies for ecosystem monitoring and carbon accounting, including Permian Global, Carbomap and Ecometrica, as well as (iv) the general public.
How will they benefit from this research?
In recent decades Sabah has emerged as an important testbed for international efforts to conserve and sustainably manage tropical forests. This project will directly inform the strategy of conservation and sustainable development NGOs working in the region. For instance, SEARRP and the Heart of Borneo Rainforest Foundation will be able to tailor their conservation and restoration projects based on a better understanding of the resilience of tropical forests to habitat degradation and climate change. Similarly, the project will provide robust data for organisations such as RSPO to refine and enforce its certification schemes for suitable oil-palm production.
The project will also help regional government bodies such as SFD to make complex decision on how best to manage forests in the region to meet multiple (and oftentimes conflicting) objectives (e.g., timber production and carbon sequestration). For instance, the carbon dynamics models developed through this project will allow SFD to refine its annual allowable cut estimates to ensure they are sufficient to support local livelihoods without becoming unsustainable. Similarly, the project will provide critical data to inform decisions on where to set aside land for conservation to ensure the best outcomes for both biodiversity and carbon storage under current and future climate scenarios.
Industry stakeholders also stand to benefit as a result of this project. Permian Global - an investment firm dedicated to the protection and recovery of tropical rainforest to mitigate climate change - will be able to leverage the forest dynamics models developed through this project to improve the carbon stock trajectories that underpin the REDD+ projects they oversee in the region. By doing so they will be able to better estimate their pool of carbon credits and increase their value on the market. Additionally, industry partners that rely on remote sensing data for ecosystem monitoring and precision forestry - including the Edinburgh based Carbomap and Ecometrica - will be able to advance their workflows by incorporating new approaches for fusing repeat LiDAR and satellite data developed through this project.
Finally, this project will provide a powerful platform to raise awareness among the general public on the consequences of land-use intensification in the tropics for biodiversity and climate change on a global scale. Addressing these issues is central to meeting the United Nations Sustainable Development Goals, but these topics can often feel far removed. In this regard remote sensing technologies such as LiDAR and high-resolution satellite imagery provide an intuitive way to communicate the scale and speed at which human activity is reshaping our planet. Leveraging these immersive digital platforms I hope to engage and instil a sense of curiosity in the next generation of scientists, explorers and policy makers.
People |
ORCID iD |
Tommaso Jucker (Principal Investigator / Fellow) |
Publications
![publication icon](/resources/img/placeholder-60x60.png)
Beese L
(2022)
Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015-16 El Niño
in International Journal of Applied Earth Observation and Geoinformation
![publication icon](/resources/img/placeholder-60x60.png)
Besson M
(2022)
Towards the fully automated monitoring of ecological communities.
in Ecology letters
![publication icon](/resources/img/placeholder-60x60.png)
Cazzolla Gatti R
(2022)
The number of tree species on Earth.
in Proceedings of the National Academy of Sciences of the United States of America
![publication icon](/resources/img/placeholder-60x60.png)
Chen J
(2023)
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species-rich subtropical forest
in Remote Sensing in Ecology and Conservation
![publication icon](/resources/img/placeholder-60x60.png)
De Frenne P
(2021)
Forest microclimates and climate change: Importance, drivers and future research agenda
in Global Change Biology
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Drinkwater R
(2021)
Leech blood-meal invertebrate-derived DNA reveals differences in Bornean mammal diversity across habitats.
in Molecular ecology
![publication icon](/resources/img/placeholder-60x60.png)
Fischer F
(2023)
No evidence for fractal scaling in canopy surfaces across a diverse range of forest types
in Journal of Ecology
![publication icon](/resources/img/placeholder-60x60.png)
ForestPlots.net
(2021)
Taking the pulse of Earth's tropical forests using networks of highly distributed plots
in Biological Conservation
![publication icon](/resources/img/placeholder-60x60.png)
Giulio S
(2022)
Invasion dynamics and potential future spread of sea spurge across Australia's coastal dunes
in Journal of Biogeography
Description | BCAI Research Grants |
Amount | £22,968 (GBP) |
Organisation | University of Bristol |
Sector | Academic/University |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2021 |
Description | Combining long-term field data and remote sensing to test how tree diversity influences aboveground biomass recovery in logged tropical forests |
Amount | £650,416 (GBP) |
Funding ID | NE/X000281/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 05/2023 |
End | 05/2026 |
Description | FORTRESS - Forest ecosystems and their resilience to climate extremes across Europe |
Amount | € 1,882,000 (EUR) |
Funding ID | 101076609 |
Organisation | European Research Council (ERC) |
Sector | Public |
Country | Belgium |
Start | 09/2023 |
End | 09/2028 |
Description | Habitat fragmentation and its impact on the world's tropical forests |
Amount | £171,400 (GBP) |
Funding ID | RPG-2023-169 |
Organisation | The Leverhulme Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2024 |
End | 12/2026 |
Description | Leverhulme Trust Research Project Grants |
Amount | £163,306 (GBP) |
Funding ID | RPG-2020-341 |
Organisation | The Leverhulme Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2021 |
End | 02/2024 |
Description | Royal Society Research Grants |
Amount | £19,778 (GBP) |
Funding ID | RGS\R1\201216 |
Organisation | The Royal Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2020 |
End | 03/2021 |
Title | L2C - Canopy height models across the Brazilian Amazon |
Description | Canopy height models derived from LiDAR data collected across the Brazilian Amazon. The files are provided in .tiff format in 7 zip folders. A full description of the data set is available here: https://zenodo.org/record/4968706#.YzB693ZKg5s We also provide the summary data used for statistical analysis in the associated publication: Reis and Jackson et al 2022. Forest disturbance and growth processes are reflected in the geographic distribution of large canopy gaps across the Brazilian Amazon. Journal of Ecology. Each transect covered 375 ha (12.5 km × 300 m) by emitting full-waveform laser pulses from a Trimble Harrier 68i airborne sensor (Trimble; Sunnyvale, CA) aboard a Cessna aircraft (model 206). The average point density was set at four returns per square meters, the field of view was equal to 30°, the flying altitude was 600 m, and transect width on the ground was approximately 494 m. Global Navigation Satellite System (GNSS) data were collected on a dual-frequency receiver (L1/L2). The pulse footprint was set to be below 30 cm, based on a divergence angle between 0.1 and 0.3 milliradians. Horizontal and vertical accuracy were controlled to be under 1 m and under 0.5 m, respectively. The data collection was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES; Finance Code 001); Conselho Nacional de Desenvolvimento Científico e Tecnológico (Processes 403297/2016-8 and 301661/2019-7); Amazon Fund (grant 14.2.0929.1) The research project was funded by the UK Natural Environment Research Council project number NE/S010750/1 |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://zenodo.org/record/7104043 |
Title | Tallo database |
Description | The Tallo database (v1.0.0) is a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species. For a full description of the database, see: Jucker et al. (2022) Tallo - a global tree allometry and crown architecture database. Global Change Biology, https://doi.org/10.1111/gcb.16302. If using the Tallo database in your work please cite the original publication listed above, as well as this repository using the corresponding DOI (10.5281/zenodo.6637599). |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | Yes |
URL | https://zenodo.org/record/6637598 |