[609] - Modeling of dynamic photosynthesis adaptation strategies using remotely sensed chlorophyll fluorescence

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Wieneke, S., 2013. Modeling of dynamic photosynthesis adaptation strategies using remotely sensed chlorophyll fluorescence. PhD Report, Institute of Geophysics and Meteorology, Univerity Cologne, Cologne, Germany. Accessed from https://www.tr32db.uni-koeln.de/data.php?dataID=609 at 2019-08-20.
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Title(s):Main Title: Modeling of dynamic photosynthesis adaptation strategies using remotely sensed chlorophyll fluorescence
Subtitle: 2nd PhD Report
Description(s):Abstract: he most important exchange process of CO2 between the atmosphere and the land-surface is photosynthesis. Therefore, the prediction of vegetation response to increasing atmospheric CO2 concentrations is crucial for a reliable prediction of climate change. Photosynthesis is a complex physiological process that consists of numerous bio-physical sub-processes and chemical reactions. Spatial and temporal patterns of photosynthesis depend on dynamic plant-specific adaptation strategies to highly variable environmental conditions. Photosynthesis can be estimated using land-surface models, but, while state-of-the-art models often rely on plant specific constants, they poorly simulate the dynamic adaptation of the physiological status of plant canopies. Another way to estimate photosynthesis is the measurement of sun-induced chlorophyll fluorescence (SICF). Several studies over the last decade have demonstrated that SICF is a promising proxy to estimate the diurnal dynamic vitality of the photosynthetic apparatus at both the leaf and canopy levels. Recent studies have shown, that the weak SICF signal is also detectable from air- and space-borne sensors. Time series of SICF can already be derived from ground based measurements and first spatial maps from air- and space-borne sensors are available. It is expected that in the preparation of the European satellite mission FLEX further spatial and temporal data sets will become available. Although, it is not possible to derive data sets that have a diurnal and spatial resolution at the same time, spatial data sets could be used to update certain model parameters that are normally set as constants. This will result in a better simulation of plant-specific adaptation strategies. In this study we focus on the retrieval of the maximum rate of carboxylation (Vcmax), by implementing the SICF signal into the photosynthesis module of the Community Land Model 4 (CLM4; http://www.cgd.ucar.edu/tss/clm), which is based on the Farquhar model. Vcmax varies strongly between and within Plant Functional Types (PFTs) and even within a species. Furthermore, Vcmax is one of the most sensitive parameters in CLM4. Therefore, a reliable mapping of different Vcmax parameter would result in a more realistic simulation of photosynthesis. Within the framework of the Transregio32 project (www.tr32.de) we installed automated hyperspectral fluorescence sensors at an agricultural site (winter wheat) in the Rur catchment area in west Germany at the end of July 2012. Later, at end of August, measurements on a nearby temperate grassland site (riparian meadow) and on a sugar beet field followed. The sensors recorded diurnal time series of SICF in the footprint of eddy covariance towers. Spatial SICF data of the region will be available from measurement by the air-borne hyperspectral HyPlant sensor in August 2012. Based on these diurnal and spatial data we validate and discuss different approaches to derive Vcmax and its implementation into the photosynthesis module of CLM4.
Responsible Party
Creator(s):Author: Sebastian Wieneke
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Vegetation
Related Sub-project(s):D2
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report2_Wieneke_2013.pdf
Data Type:Text
File Size:2375 kB (2.319 MB)
Date(s):Available: 2013-02-28
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyOwnSubproject
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Measurement Region:RurCatchment
Measurement Location:--RurCatchment--
Specific Informations - Report
Report Date:28th of February, 2013
Report Type:PhD Report
Report City:Cologne, Germany
Report Institution:Institute of Geophysics and Meteorology, Univerity Cologne
Number Of Pages:47
Period of Pages:1 - 47
Further Informations:TR32 Student Report Phase II
Metadata Details
Metadata Creator:Sebastian Wieneke
Metadata Created:2013-12-06
Metadata Last Updated:2013-12-06
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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