Validity and reliability of drought reporters in estimating soil water content and drought impacts in central Europe

Bartošová, Lenka; Fischer, Milan; Bálek, Jan; Bláhová, Monika; Kudláčková, Lucie; Chuchma, Filip; Hlavinka, Petr; Možný, Martin; Zahradníček, Pavel; Wall, Nicole; Hayes, Michael J.; Hain, Christopher; Anderson, Martha C.; Wagner, Wolfgang; Žalud, Zdeněk; Trnka, Miroslav

doi:10.1016/j.agrformet.2022.108808

Cited by 13 publications

(5 citation statements)

References 33 publications

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“…In both years, two unique datasets were collected through an intensive data collection. In 2017, drought impact data were collected using weekly questionnaire reports provided by the national reporting network of CzechDM [27]. This database includes expected yield loss information from more than 300 cadastral areas, including only those with at least 3 reports for a given crop during the drought event.…”

Section: Data On Drought-based Yield Lossesmentioning

confidence: 99%

“…Soil moisture availability to crops or its anomalies with regard to normal conditions can be assessed through ground data-driven systems, such as the Czech Drought Monitor, hereinafter called CzechDM [22,23], or the US Drought Monitor [24], or through the use of remotely sensed soil moisture. Anomalies in evapotranspiration based on land surface temperature remote sensing retrievals are often used as another effective tool for capturing the physiological activities of crops [25][26][27]. The canopy status can also be assessed on the ground, either during a harvest or by using qualified observers over the course of the season [27].…”

Section: Introductionmentioning

confidence: 99%

“…Anomalies in evapotranspiration based on land surface temperature remote sensing retrievals are often used as another effective tool for capturing the physiological activities of crops [25][26][27]. The canopy status can also be assessed on the ground, either during a harvest or by using qualified observers over the course of the season [27]. Conducting assessments over large areas almost implicitly points toward the use of remote sensing approaches, e.g., using microwave technology for soil moisture [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…Following the 2015 season, which resulted in major impacts on crop production, a stateof-the-art drought observation and agriculture impact collection system was established in the Czech Republic [22,27]. In 2015, however, the crop loss was only assessed at the NUTS4 level (Figure 1b), resulting in palpable frustration on the side of the farming community, as low spatial resolution led to many false positive and negative errors, especially at the borders of pairs of regions with and without compensation.…”

Section: Introductionmentioning

confidence: 99%

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Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic

et al. 2023

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In the Czech Republic, soil moisture content during the growing season has been decreasing over the past six decades, and drought events have become significantly more frequent. In 2003, 2015, 2018 and 2019, drought affected almost the entire country, with droughts in 2000, 2004, 2007, 2012, 2014 and 2017 having smaller extents but still severe intensities in some regions. The current methods of visiting cadastral areas (approximately 13,000) to allocate compensation funds for the crop yield losses caused by drought or aggregating the losses to district areas (approximately 1000 km2) based on proxy data are both inappropriate. The former due to the required time and resources, the later due to low resolution, which leads to many falsely negative and falsely positive results. Therefore, the study presents a new method to combine ground survey, remotely sensed and model data for determining crop yield losses. The study shows that it is possible to estimate them at the cadastral area level in the Czech Republic and attribute those losses to drought. This can be done with remotely sensed vegetation, water stress and soil moisture conditions with modeled soil moisture anomalies coupled with near-real-time feedback from reporters and with crop status surveys. The newly developed approach allowed the achievement of a proportion of falsely positive errors of less than 10% (e.g., oat 2%, 8%; spring barley 4%, 3%; sugar beets 2%, 21%; and winter wheat 2%, 6% in years 2017, resp. 2018) and allowed for cutting the loss assessment time from eight months in 2017 to eight weeks in 2018.

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Section: Data On Drought-based Yield Lossesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic

et al. 2023

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“…The period from 1991 to 2020 was the warmest and driest 30-year period in Czech history since 1501 (Brázdil et al 2022a). From 2015 to 2018, the Czech Republic faced severely dry episodes, which were re ected by negative impacts on the landscape (Bartosova et al 2022). This multiyear drought led to favorable fuel conditions for re ignition, which likely contributed to an increased occurrence of wild res re ected by more frequent re ghting interventions.…”

Section: Introductionmentioning

confidence: 99%

Using FlamMap to assess wildfire behavior in Bohemian Switzerland National Park

Kudláčková,

Poděbradská,

Bláhová

et al. 2023

Nat Hazards

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The 2022 summer re in Bohemian Switzerland National Park (BSNP) is ranked as the largest in the Czech Republic´s 30-year recorded history, with an affected area over 1000 ha. The FlamMap re modeling system was used to investigate the re behavior associated with the BSNP and to evaluate scenarios under a range of fuel types, fuel moistures, and weather conditions. We used the model to simulate re conditions, propagation, and extent. We focused on matching the observed re perimeter and on re behavior characteristics. The re took place in a region of BSNP that was heavily affected by the Spruce bark beetle (Ips typographus L.) infestation; hence, most of the burned area was in dead spruce forest (Picea abies Karst.). The best FlamMap simulations of observed re behavior and progression were compared with several created scenarios that differed in various input conditions. Scenarios included a re in a healthy spruce forest, in clearcuts, or under different meteorological conditions. We were able to calibrate and use FlamMap to recreate a recent wild re under observed conditions. We found that the re would have likely spread to its observed nal perimeter even if standing dead trees were removed. However, at lower re intensity and with a considerably shorter duration. Alternatively, if healthy standing vegetation with a closed canopy had been present, the wild re perimeter would have been approximately half. Similar results were obtained for both the nonnative spruce forest and the deciduous forest, which is a native alternative.

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