HORIZON EUROPA PALOMA Project: A paleoenvironmental investigation of the sensitivity of the Amazon lowlands to climate drivers using pollen-based modeling approaches
- Type Project
- Status Firmado
- Execution 2024 -2026
- Assigned Budget 165.312,96 €
- Scope Europeo
- Main source of financing Horizonte Europa 2021-2027
- Project website Proyecto PALOMA
Vital for biodiversity and the fight against climate change, the Amazon faces threats caused by humans and global warming. Despite its importance, understanding the sensitivity of Amazonian plants to variations in temperature and precipitation remains a challenge.
Fossil pollen offers clues about past ecosystem dynamics, but establishing connections to climate events in this diverse region has been difficult due to a lack of data. Supported by the Marie Skłodowska-Curie Actions (MSCA) program, the PALOMA project will study the response of Amazonian vegetation to climate change using innovative pollen-based models in Ecuador and Peru. The overall goal of the project is to understand how Amazonian vegetation responds to climate change.
To understand the sensitivity of the Amazon to climate change, our goal is to use pollen-based models to reconstruct changes in temperature, precipitation, and seasonality in the lowlands of Ecuador and Peru. This will be achieved by collecting modern pollen samples and compiling other existing datasets from collaborators, as well as modern climate data retrieved from weather stations. We will use these datasets to calibrate key existing fossil pollen records in the region, allowing for the reconstruction of paleoclimate parameters using transfer functions.
By enhancing our modern pollen database for the Amazon lowlands and applying new modeling techniques, we seek to contribute new insights into ecological tipping points, plant responses to abrupt changes, effects on abundance and population structure, and lags in climate response.
The Amazon is one of the world's most biodiverse ecosystems and our largest carbon sink, but human activity and climate change pose serious threats to its existence. We are still a long way from understanding how sensitive Amazonian plants really are to variations in temperature and precipitation. One way to understand this is by looking at fossil pollen accumulated over thousands of years, which can be used to reconstruct what the forests looked like over time and how they changed.
In the context of Amazonia, there has been no way to connect changes in pollen assemblages with climate events until now because the forests in this region are diverse and many areas respond differently to environmental factors, and there is insufficient data to allow comparisons between sites. To understand the sensitivity of Amazonia to climate change, we aim to use pollen-based models to reconstruct changes in temperature, precipitation, and seasonality in the lowlands of Ecuador and Peru. This will be achieved by collecting modern pollen samples and compiling other existing datasets from collaborators, as well as modern climate data retrieved from weather stations.
We will use these datasets to calibrate key existing fossil pollen records from the region, thus enabling the reconstruction of paleoclimatic parameters through the use of transfer functions. By enhancing our modern pollen database for the Amazon lowlands and applying new modeling techniques, we aim to provide new insights into ecological tipping points, plant responses to abrupt changes, effects on population abundance and structure, and time lags in response to climate.
The Data Management Plan describes the data management lifecycle for all datasets that will be collected, processed, or generated within the framework of the action. It describes what data will be collected, processed, or generated, the methodology and standards that will be applied, whether they will be shared or made public, and how they will be managed and retained.
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS (CSIC)