FORECAST · Predicting mixed forests responses to climate change and drought stress with a plant hydraulics model
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2021-03-08 → 2023-03-07
- EU contribution
- €172,932
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Predicting mixed forests responses to climate change and drought stress with a plant hydraulics model
The frequency and intensity of droughts are expected to increase in many regions of the world due to global climate change. Droughts can lead to widespread tree mortality, leading to a loss of carbon stored in forests that will feedback to exacerbate climate change. Thus, modelling forest responses to drought is critical for predicting climate change socio-economic and ecological impacts and informing conservation strategies. However, current models are not capable of adequately representing forest responses to drought, especially for mixed forests due to their diversity in species and functional traits. The main objective of FORECAST was to develop a model for mixed forests based on known biophysical constraints, plant hydraulic functional traits and optimization theory. The developed model can be used to predict how diverse species growing in mixed forests will respond to different scenarios of climate change. The model´s outputs allow calculating carbon assimilation due to photosynthesis and mortality risk of plants due to hydraulic damage. This data can help managers guide different forestry practices in order to maximize a forest´s resilience so that it can keep providing products and services.
Data: CORDIS, © European Union
Project objective
The frequency and intensity of droughts are expected to increase in many regions of the world due to global climate change. Droughts can lead to widespread tree mortality, leading to a loss of carbon stored in forests that will feedback to exacerbate climate change. Thus, modelling forest responses to drought is critical for predicting climate change socio-economic and ecological impacts and informing conservation strategies. However, current models are not capable of adequately representing forest responses to drought, especially for mixed forests due to their diversity in species and functional traits. The proposed research intends to solve this problem by developing a model for mixed forests based on known biophysical constraints, plant functional traits and optimization theory. The model’s performance will be evaluated with (1) detailed measurements at Hayedo de Montejo (HM), a mixed Mediterranean forest with diverse functional traits, (2) data from a network of eddy-covariance towers that measure ecosystem fluxes, and (3) mortality data from two national forest inventories that span a wide range of forest types. Next, the model will be used for forecasting the vulnerability of HM to different climate change scenarios for guiding the conservation of this World Heritage Site.I will develop this project at Universidad Politécnica de Madrid, one of Europe’s leading academic institutions. A secondment at Centro de Investigación Ecológica y Aplicaciones Forestales (Barcelona) will allow me to learn new modelling approaches, gain access to global plant databases, and establish new collaborations. A secondment at Dirección General de Medio Ambiente y Sostenibilidad de la Comunidad de Madrid, a non-academic institution in charge of HM’s management, will ensure intersectoral transfer of knowledge among scientists, educators, managers and policy makers. This MSCA will facilitate my return to Europe and enhance my chances of obtaining a permanent position in Europe.
Original text from CORDIS.
Participants
- UNIVERSIDAD POLITECNICA DE MADRID · MadridCoordinatorSpain
Links
Data: CORDIS, © European Union