Alexander Ac

Dr. Alexander Ac


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2007 in Plant Physiology and Biochemistry
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Journal Article
Closed access
HLHartmut K. Lichtenthaler
Hartmut K. Lichtenthaler
AAAlexander Ac
Alexander Ac
MMMichal Marek
Michal Marek
JKJiří Kalina
Jiří Kalina
OUOtmar Urban
Otmar Urban

20 February 2015 in Geophysical Research Letters
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Journal Article
Open access
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Micol RossiniMicol Rossini
Micol Rossini
LNL. Nedbal
L. Nedbal
LGLuis Guanter
Luis Guanter
AAAlexander Ac
Alexander Ac
LALuis Alonso
Luis Alonso
URUwe Rascher
Uwe Rascher
Remote estimation of Sun‐induced chlorophyll fluorescence emitted by terrestrial vegetation can provide an unparalleled opportunity to track spatiotemporal variations of photosynthetic efficiency. Here we provide the first direct experimental evidence that the two peaks of the chlorophyll fluorescence spectrum can be accurately mapped from high‐resolution radiance spectra and that the signal is linked to variations in actual photosynthetic efficiency. Red and far red fluorescence measured using a novel airborne imaging spectrometer over a grass carpet treated with an herbicide known to inhibit photosynthesis was significantly higher than the corresponding signal from an equivalent untreated grass carpet. The reflectance signal of the two grass carpets was indistinguishable, confirming that the fast dynamic changes in fluorescence emission were related to variations in the functional status of actual photosynthesis induced by herbicide application. Our results from a controlled experiment at the local scale illustrate the potential for the global mapping of terrestrial photosynthesis through space‐borne measurements of chlorophyll fluorescence.

1 October 2015 in Remote Sensing of Environment
Verified
Journal Article
Closed access
AAAlexander Ac
Alexander Ac
Zbynek MalenovskyZbynek Malenovsky
Zbynek Malenovsky
JOJulie Olejníčková
Julie Olejníčková
AGAlexander Gallé
Alexander Gallé
URUwe Rascher
Uwe Rascher
GMGina Mohammed
Gina Mohammed

1 January 2015 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
SDS. Njakou Djomo
S. Njakou Djomo
AAAlexander Ac
Alexander Ac
TZT. Zenone
T. Zenone
TGT. De Groote
T. De Groote
SBSara Bergante
Sara Bergante
RCR. Ceulemans
R. Ceulemans
One of the strategies to ensure energy security and to mitigate climate change in the European Union (EU) is the establishment and the use of short rotation woody crops (SRWCs) for the production of renewable energy. SRWCs are cultivated in the EU under different management systems. Addressing the energy security problems through SRWCs requires management systems that maximize the net energy yield per unit land area. We assembled and evaluated on-farm data from within the EU, (i) to understand the relationship between the SRWC yields and spatial distribution of precipitation, as well as the relationship between SRWC yield and the planting density, and (ii) to investigate whether extensively managed SRWC systems are more energy efficient than their intensively managed counterparts. We found that SRWC yield ranged from 1.3 to 24tha−1y−1 (mean 9.3±4.2tha−1y−1) across sites. We looked for, but did not find a relationship between yield and annual precipitation as well as between yield and planting density. The energy inputs of extensively managed SRWC systems ranged from 3 to 8GJha−1y−1 whereas the energy ratio (i.e. energy output to energy input ratio) varied from 9 to 29. Although energy inputs (3–16GJha−1y−1) were larger in most cases than those of extensively managed SRWC systems, intensively managed SRWC systems in the EU had higher energy ratios, i.e. between 15 and 62. The low energy ratio of extensively managed SRWC systems reflected their lower biomass yield per unit area. Switching from intensively managed SRWC systems to extensively managed ones thus creates an energy gap, and will require more arable land to be brought into production to compensate for the yield loss. Consequently, extensification is not the most appropriate path to the success of the wide scale deployment of SRWC for bioenergy production in the EU

14 November 2021 in Plant, Cell & Environment
Verified
Journal Article
Closed access
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MJMarcel A. K. Jansen
Marcel A. K. Jansen
AAAlexander Ac
Alexander Ac
KKKarel Klem
Karel Klem
Otmar UrbanOtmar Urban
Otmar Urban

31 July 2018 in Remote Sensing
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Journal Article
Open access
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DKDaniel Kovac
Daniel Kovac
PVPetra Veselovská
Petra Veselovská
KKKarel Klem
Karel Klem
KVKristýna Večeřová
Kristýna Večeřová
AAAlexander Ac
Alexander Ac
Otmar UrbanOtmar Urban
Otmar Urban
Hyperspectral reflectance is becoming more frequently used for measuring the functions and productivity of ecosystems. The purpose of this study was to re-evaluate the potential of the photochemical reflectance index (PRI) for evaluating physiological status of plants. This is needed because the reasons for variation in PRI and its relationships to physiological traits remain poorly understood. We examined the relationships between PRI and photosynthetic parameters in evergreen Norway spruce and deciduous European beech grown in controlled conditions during several consecutive periods of 10–12 days between which the irradiance and air temperature were changed stepwise. These regime changes induced significant changes in foliar biochemistry and physiology. The responses of PRI corresponded particularly to alterations in the actual quantum yield of photosystem II photochemistry (ΦPSII). Acclimation responses of both species led to loss of PRI sensitivity to light use efficiency (LUE). The procedure of measuring PRI at multiple irradiance-temperature conditions has been designed also for testing accuracy of ΔPRI in estimating LUE. A correction mechanism of subtracting daily measured PRI from early morning PRI has been performed to account for differences in photosynthetic pigments between irradiance-temperature regimes. Introducing ΔPRI, which provided a better estimate of non-photochemical quenching (NPQ) compared to PRI, also improved the accuracy of LUE estimation. Furthermore, ΔPRI was able to detect the effect of drought, which is poorly observable from PRI.