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Dive into the research topics where Kateřina Havránková is active.

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Featured researches published by Kateřina Havránková.


European Journal of Forest Research | 2008

Temporal variation and efficiency of leaf area index in young mountain Norway spruce stand

Radek Pokorný; Ivana Tomášková; Kateřina Havránková

Temporal variation of leaf area index (LAI) in two young Norway spruce stands with different densities was monitored during eight consecutive growing seasons (1998–2005). We focused on: (1) LAI dynamics and above-ground mass production of both spruce stands and their comparison, (2) leaf area duration (LADU), crop production index (CPI) and leaf area efficiency (LAE) evaluation, and (3) thinning impact on the above-mentioned parameters. Also, we tried to deduce the most effective LAI value for the Norway spruce forest investigated. The LAI values of both spruce stands showed a typical seasonal course. To describe the LAI dynamics of the stand, we recommend taking LAI measurements within short time intervals at the time of budding and needle expansion growth (i.e., in early spring) and close to the LAI peak, when the twig growth has been completed. The reason was that after reaching the seasonal maximum, no significant differences between subsequently obtained values were found in the following 2xa0months. Therefore, we recommend this period for the estimation of seasonally representative LAI values, enabling the comparison of various spruce stands. The maximum hemi-surface LAI value reached 12.4. Based on our results, the most effective LAI values for maximum above-ground biomass production were within the range of 10–11. We found an LAI over these values to be less effective for additional production of above-ground biomass. In forest practice, thinning intensity is mostly described by percentage of stocking reduction. We want to show that not only thinning intensity, but also the type of thinning is important information. The type of thinning significantly affected the stand above-ground biomass increment, canopy openness, stand LAI and LAI efficiency. The stimulating effect of high-type thinning was observed; the LAE as well as the CPI increased. Low-type thinning had no such effects on LAE increments compared to the high-type thinning with similar intensity.


Environmental Pollution | 2011

Carbon exchange between ecosystems and atmosphere in the Czech Republic is affected by climate factors.

Michal V. Marek; Dalibor Janouš; Klára Taufarová; Kateřina Havránková; Marian Pavelka; Věroslav Kaplan; Irena Marková

By comparing five ecosystem types in the Czech Republic over several years, we recorded the highest carbon sequestration potential in an evergreen Norway spruce forest (100%) and an agroecosystem (65%), followed by European beech forest (25%) and a wetland ecosystem (20%). Because of a massive ecosystem respiration, the final carbon gain of the grassland was negative. Climate was shown to be an important factor of carbon uptake by ecosystems: by varying the growing season length (a 22-d longer season in 2005 than in 2007 increased carbon sink by 13%) or by the effect of short- term synoptic situations (e.g. summer hot and dry days reduced net carbon storage by 58% relative to hot and wet days). Carbon uptake is strongly affected by the ontogeny and a production strategy which is demonstrated by the comparison of seasonal course of carbon uptake between coniferous (Norway spruce) and deciduous (European beech) stands.


Wetlands | 2017

CO2 Fluxes from Different Vegetation Communities on a Peatland Ecosystem

Manuel Acosta; Radek Juszczak; Bogdan H. Chojnicki; Marian Pavelka; Kateřina Havránková; Jacek Lesny; Lenka Krupková; Marek Urbaniak; Kateřina Machačová; Janusz Olejnik

Although most studies find temperature, soil moisture and water table to be important environmental factors that affect peatland carbon dynamics, the role of vegetation communities has been investigated less. Therefore, this study investigates whether peatland ecosystems produce heterogeneous CO2 fluxes due to differences in vegetation community. In addition, the study also examines which major environmental factors influence this vegetation. To achieve the aims of this study, four sites with different vegetation communities were established in a semi-natural peatland ecosystem in Poland. CO2 flux measurements were carried out using a closed dynamic chamber system. Measurement campaigns were carried out from April until December 2008, every 2–3xa0weeks. Measured ecosystem respiration (Reco) and net ecosystem exchange (NEE) rates showed daily and seasonal variation at all investigated sites. Reco presented a strong dependence on soil temperature at the 5xa0cm depth, while NEE showed a strong dependence on solar radiation. The mean temperature sensitivity (Q10) for the four sites ranged between 3.17 and 8.3. The highest NEE and Reco values were obtained at the site represented by Caricetum elatae and the lowest NEE and Reco at the site represented by Calamagrostietum neglectae.


Trees-structure and Function | 2017

Comparison of different approaches of radiation use efficiency of biomass formation estimation in Mountain Norway spruce

Lenka Krupková; Irena Marková; Kateřina Havránková; Radek Pokorný; Otmar Urban; Ladislav Šigut; Marian Pavelka; Emil Cienciala; Michal V. Marek

Key messageRadiation use efficiency values estimation based on the biomass increment (one approach) and on NPP from eddy covariance (two approaches) estimation of NPP brings the values of 0.13, 0.40, and 0.47xa0g (C) MJ−1, respectively.AbstractThe productivity of terrestrial ecosystems is primarily reliant on the absorption of solar radiation energy and its conversion into biomass. Monteith (1977) first introduced the concept of radiation use efficiency (RUE), which expresses the effectiveness of a plant stand to use solar radiation for the formation of new biomass and to maintain existing biomass. The presented paper uses a long-term, decadal, time series of biomass data, which is based on forest inventory data and an allometric relation, and on the application of eddy covariance (EC) estimation of Net Primary Production (NPP). These approaches provide different values of light use efficiency (LUE). LUE is based on direct carbon exchange estimation, LUEi, which denotes instantaneous efficiency based on the relationship between the daily sum of incident global radiation (GRi) and NPP and LUES, calculated as the ratio between the sum of NPP and the sum of GRi per growing season. RUE is based on direct yearly biomass increment expressed in carbon units (carbonxa0=xa00.5xa0×xa0biomass) divided by the sum of GRi per year. The obtained values amount to 0.13, 0.40, and 0.47xa0g(C) MJ−1 for RUE, LUES, and LUEi, respectively. The higher value of LUEi reflects a direct relation with the efficiency of photosynthetic carbon pumping. In contrast, the RUE value, based on biomass inventories, is the result of woody mass formation that is caused by several mutually related physiological processes and “wastages” of radiation utilization.


Journal of Geophysical Research | 2017

Winter respiratory C losses provide explanatory power for net ecosystem productivity

Matthias Haeni; Roman Zweifel; Werner Eugster; Arthur Gessler; S. Zielis; Ch. Bernhofer; Arnaud Carrara; Thomas Grünwald; Kateřina Havránková; Bernard Heinesch; Mathias Herbst; Andreas Ibrom; Alexander Knohl; Fredrik Lagergren; B. E. Law; Michal V. Marek; Giorgio Matteucci; J. H. McCaughey; Stefano Minerbi; Leonardo Montagnani; E.J. Moors; Janusz Olejnik; Marian Pavelka; Kim Pilegaard; Gabriel Pita; Abel Rodrigues; M. J. Sanz Sánchez; Mart-Jan Schelhaas; M. Urbaniak; Riccardo Valentini

M. Haeni, R. Zweifel, W. Eugster, A. Gessler, S. Zielis, C. Bernhofer, A. 7 Carrara, T. Grünwald, K. Havránková, B. Heinesch, M. Herbst, A. Ibrom, A. 8 Knohl, F. Lagergren, B.E. Law, M. Marek, G. Matteucci, JH. McCaughey, S. 9 Minerbi, L. Montagnani, E. Moors, J. Olejnik, M. Pavelka, K. Pilegaard, G. 10 Pita, A. Rodrigues, M. J. Sanz Sánchez, M.-J. Schelhaas, M. Urbaniak, R. 11 Valentini, A. Varlagin, T. Vesala, C. Vincke, J. Wu, and N. Buchmann 12Accurate predictions of net ecosystem productivity (NEPc) of forest ecosystems are essential for climate change decisions and requirements in the context of national forest growth and greenhouse gas inventories. However, drivers and underlying mechanisms determining NEPc (e.g., climate and nutrients) are not entirely understood yet, particularly when considering the influence of past periods. Here we explored the explanatory power of the compensation day (cDOY)-defined as the day of year when winter net carbon losses are compensated by spring assimilation-for NEPc in 26 forests in Europe, North America, and Australia, using different NEPc integration methods. We found cDOY to be a particularly powerful predictor for NEPc of temperate evergreen needleleaf forests (R2=0.58) and deciduous broadleaf forests (R2=0.68). In general, the latest cDOY correlated with the lowest NEPc. The explanatory power of cDOY depended on the integration method for NEPc, forest type, and whether the site had a distinct winter net respiratory carbon loss or not. The integration methods starting in autumn led to better predictions of NEPc from cDOY then the classical calendar method starting 1 January. Limited explanatory power of cDOY for NEPc was found for warmer sites with no distinct winter respiratory loss period. Our findings highlight the importance of the influence of winter processes and the delayed responses of previous seasons climatic conditions on current years NEPc. Such carry-over effects may contain information from climatic conditions, carbon storage levels, and hydraulic traits of several years back in time. (Less)


International Agrophysics | 2014

Forest Ecosystem as a Source of Co2 During Growing Season: Relation to Weather Conditions

Klára Taufarová; Kateřina Havránková; Alice Dvorská; Marian Pavelka; Marek Urbaniak; Dalibor Janouš

Abstract Net ecosystem production reflects the potential of the ecosystem to sequestrate atmospheric CO2. Daily net ecosystem production of a mountain Norway spruce forest of the temperate zone (Czech Republic) was determined using the eddy covariance method. Growing season days when the ecosystem was a CO2 source were examined with respect to current weather conditions. During the 2005, 2006, and 2007 growing seasons, there were 44, 65, and 39 days, respectively, when the forest was a net CO2 source. The current weather conditions associated with CO2 release during the growing seasons were: cool and overcast conditions at the beginning or end of the growing seasons characterized by a 3-year mean net ecosystem production of -7.2 kg C ha-1 day-1; overcast or/and rainy days (-23.1 kg C ha-1 day-1); partly cloudy and hot days (-11.8 kg C ha-1 day-1); and overcast and hot days (-13.5 kg C ha-1 day-1). CO2 release was the highest during the overcast or/and rainy conditions (84%, average from all years), which had the greatest impact during the major production periods. As forests are important CO2 sinks and more frequent weather extremes are expected due to climate change, it is important to predict future forest carbon balances to study the influence of heightened variability in climatic variables.


Journal of Forestry Research | 2018

Impact of water scarcity on spruce and beech forests

Lenka Krupková; Kateřina Havránková; Jan Krejza; P. Sedlak; Michal V. Marek

One of the greatest threats posed by ongoing climate change may be regarded the drought caused by changes in precipitation distribution. The aim of presented study was to characterize reactions to dry conditions and conditions without drought stress on gross primary production (GPP) and net ecosystem production (NEP) of spruce and beech forests, as these two species dominate within the European continent. Daily courses of GPP and NEP of these two species were evaluated in relation to an expected decrease in CO2 uptake during dry days. The occurrence of CO2 uptake hysteresis in daily production was also investigated. Our study was performed at Bílý Kříž (spruce) and Štítná (beech) mountain forest sites during 2010–2012 period. We applied eddy covariance technique for the estimation of carbon fluxes, vapor pressure deficit and precipitation characteristics together with the SoilClim model for the determination of drought conditions, and the inverse of the Penman–Monteith equation to compute canopy conductance. Significant differences were found in response to reduced water supply for both species. Spruce reacts by closing its stomata before noon and maintaining a reduced photosynthetic activity for the rest of the day, while beech keeps its stomata open as long as possible and slightly reduces photosynthetic activity evenly throughout the entire day. In the spruce forest, we found substantial hysteresis in the light response curve of GPP. In the beech forest, the shape of this curve was different: evening values exceeded morning values.


Functional Ecology | 2012

Impact of clear and cloudy sky conditions on the vertical distribution of photosynthetic CO2 uptake within a spruce canopy

Otmar Urban; Karel Klem; Alexander Ač; Kateřina Havránková; Petra Holišová; Martin Navrátil; Martina Zitová; Klára Kozlová; Radek Pokorný; M. Šprtová; Ivana Tomášková; John Grace


Agricultural and Forest Meteorology | 2018

Energy balance closure at a variety of ecosystems in Central Europe with contrasting topographies

Ryan McGloin; Ladislav Šigut; Kateřina Havránková; Jiří Dušek; Marian Pavelka; P. Sedlak


Journal of Geophysical Research | 2017

Winter respiratory C losses provide explanatory power for net ecosystem productivity: WINTER RESPIRATORY C LOSSES PROVIDE EXPLANATORY POWER FOR NEP

Matthias Haeni; Roman Zweifel; Werner Eugster; Arthur Gessler; S. Zielis; Ch. Bernhofer; Arnaud Carrara; Thomas Grünwald; Kateřina Havránková; Bernard Heinesch; Mathias Herbst; Andreas Ibrom; Alexander Knohl; Fredrik Lagergren; B. E. Law; Michal V. Marek; Giorgio Matteucci; J. H. McCaughey; Stefano Minerbi; Leonardo Montagnani; E.J. Moors; Janusz Olejnik; Marian Pavelka; Kim Pilegaard; Gabriel Pita; Abel Rodrigues; M. J. Sanz Sánchez; Mart-Jan Schelhaas; M. Urbaniak; Riccardo Valentini

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Marian Pavelka

Academy of Sciences of the Czech Republic

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Michal V. Marek

University of Agriculture

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P. Sedlak

Academy of Sciences of the Czech Republic

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Radek Pokorný

Academy of Sciences of the Czech Republic

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Ch. Bernhofer

Dresden University of Technology

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