H2020Individual fellowship2018–2020

ReSPEc · Towards a Remotely sensed estimation of the Photosynthetic Energy balance

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2018-07-01 → 2020-06-30
EU contribution
€160,800
Participants
1
Scheme
MSCA-IF-EF-ST

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Results in brief

Towards a Remotely sensed estimation of the Photosynthetic Energy balance

During photosynthesis, light and water are used by plants to assimilate CO2 and produce organic compounds, while oxygen (O2) is released. Without photosynthesis, life on earth would be very different. While the produced biomass serves as food, fibre and energy source, the exchange of carbon, oxygen and water affects the composition of the atmosphere, as well as the climate. The carbon assimilated during photosynthesis over a certain time and space is referred to as gross primary production (GPP). The quantification of GPP and its spatio-temporal description from field to global scale is therefore of fundamental importance, not only in terms of climate change research, but also in respect to food security. Space- and airborne-based spectroscopy can be considered the only technology that continuously observes vegetation status and functioning at field to global scale, allowing to derive GPP. Because it is directly related to the photosynthetic process, SIF (sun-induced chlorophyll fluorescence) is a promising signal that might allow overcoming the limitations of traditional reflectance-based methods (e.g. surface greenness) for estimating GPP. Advances in optical sensor technology and methods allow reliable measurements of SIF using ground, airborne, and satellite sensors and have shown good relationships between SIF GPP. However, it is still unclear if this relationship is primarily driven by their common dependence on the absorbed incoming light (APAR), rather than being directly related. Recent studies have shown that the SIF fractior per incoming light (SIF/APAR = Fyield) might be related to light-use efficiency (LUE), a measure of the fraction of photons used in the photosynthesis reactions. Nevertheless, there are two major factors which complicate the predictability of LUE by Fyield: i) SIF and Fyield are related to the photosynthetic light reactions, while the LUE concept includes the dark reactions, and the stomatal conductance; ii) only 1-2 % of APAR is re-emitted as SIF, while heat dissipation (non-photochemical quenching, or NPQ) can contribute by 17.5 to 98 %. Therefore, the relation between Fyield and LUE will always be indirect and poor. To overcome this problem, the SIF signal has to be linked to the light reactions and the signal of NPQ needs to be accessed. It is currently being discussed if the photochemical reflectance index (PRI), which is sensitive to changes in xanthophyll activity (a pigment used for protection from photodamage), could be used to estimate NPQ on plant and ecosystem level. However, the application of the PRI at plant and ecosystem level is complicated by factors like canopy structure, leaf angle distribution and changes in leaf pigment pools. Furthermore, plant or ecosystem-derived PRI can only be compared to leaf level NPQ measurements, further complicating the use of PRI to estimate NPQ. The main objective of ReSPEc “Towards a Remotely Sensed estimation of the Photosynthetic Energy balance” is to overcome the named problems by developing a semi-mechanistic model that allows an improved estimation of plant and ecosystem photosynthesis by traditional and novel remote-sensing applications.

Data: CORDIS, © European Union

Project objective

Photosynthesis is the largest flux in the global carbon cycle and therefore of utmost importance for climate change and agricultural research. Radiometric sensors mounted on satellites and airplanes are the only technology providing spatially explicit information about vegetation activity and health at regional to global scale. In particular, the recent availability of remotely sensed sun-induced fluorescence (F), which is directly coupled to the photosynthetic process, opens new perspectives in estimating plant photosynthesis at larger scales. Considering the recently selected satellite Fluorescence Explorer (FLEX) mission by the European Space Agency (ESA) that will launch in 2022, new methods have to be developed to optimally use the F signal for an improved global estimation of photosynthesis. “ReSPEc” aims to develop new algorithms to improve the estimation of plant photosynthesis at ecosystem to regional scale (gross primary production; GPP) by assessing the photosynthetic energy balance of the light reactions from remote sensing platforms. To achieve this goal an open-field manipulation experiment will be setup to develop and test a semi-mechanistic model that links novel and established optical signals with gas-exchange measurements to assess the photosynthetic energy balance on leaf and plant scale. The semi-mechanistic model will then be applied to a pre-existing datasets of airborne measured F and vegetation reflectance to estimate GPP on ecosystem scale. Results will be compared and validated with eddy-covariance-based estimates of GPP. The outcome of this project will contribute to a better understanding of the photosynthetic energy balance on leaf-, plant- and ecosystem scale, which in turn allows an improved estimation of GPP. By ensuring that all necessary parameters will be measurable by the FLEX satellite mission, this project will take a first step towards a new global estimation of the photosynthetic energy balance.

Original text from CORDIS.

Participants

  • UNIVERSITEIT ANTWERPEN · AntwerpenCoordinatorBelgium

Links

Data: CORDIS, © European Union