3rd PhD report: Modeling of dynamic photosynthesis adaptation strategies using remotely sensed chlorophyll fluorescence

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Main Title: 3rd PhD report: Modeling of dynamic photosynthesis adaptation strategies using remotely sensed chlorophyll fluorescence

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Abstract: Photosynthesis is the most important exchange process of CO2 between the atmosphere and the land-surface. Therefore, the prediction of vegetation response to environmental conditions like increasing CO2 concentrations or plant stress 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 Functional Type (PFT) specific constants, they poorly simulate the dynamic adaptation of the physiological status of plant canopies in space and time. Remotely sensed sun-induced chlorophyll fluorescence (SICF) gives us now the possibility to estimate the diurnal dynamic vitality of the photosynthetic apparatus at both, the leaf and canopy levels. We installed within the framework of the Transregio32 project (www.tr32.de) automated hyperspectral fluorescence sensors at an agricultural site (winter wheat) in the Rur catchment area in West Germany at the end of July 2012. End of August, additional measurements of SIFC on nearby temperate grassland site (riparian meadow) and on a sugar beet field were performed. Spatial covering SICF data of the region were obtained during a measurement campaign using the newly developed air-borne hyperspectral sensor HyPlant on the 23 and 27 August 2012. SIFC data and data provided by eddy covariance measurements will be used to update certain model parameters that are normally set as constants. First model results demonstrate that the assimilation of SIFC into the Community Land Model 4 (CLM4) will result in a more realistic simulation of plant-specific adaptation strategies and therefore in a more realistic simulation of photosynthesis in space and time.

Responsible Party

*Creator:*	Sebastian Wieneke (Author)
*Publisher:*	CRC/TR32 Database (TR32DB)
*Publication Year:*	2015

Topic

*TR32 Topic:*	Vegetation
*Related Subproject:*	D2
*Subject:*	Keyword: PhD Report

File Details

*Filename:*	3PhD_report_AUG_2013.pdf
*Data Type:*	Text - Text
*File Size:*	1.5 MB
*Date:*	Created: 14.07.2015
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

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*Download Permission:*	Only Own Subproject
*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

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*Report Date:*	5th of September, 2013
*Report Type:*	PhD Report
*Report City:*	Cologne
*Report Institution:*	Geophysics and Meteorology

Metadata Details

*Metadata Creator:*	Sebastian Wieneke
*Metadata Created:*	14.07.2015
*Metadata Last Updated:*	14.07.2015
*Subproject:*	D2
*Funding Phase:*	2
*Metadata Language:*	English
*Metadata Version:*	V50

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