Climatic Changes and Their Relation to Weather Types in a Transboundary Mountainous Region in Central Europe

Hoy, Andreas; Feske, Nils; Štěpánek, Petr; Skalák, Petr; Schmitt, Andreas; Schneider, Petra

doi:10.3390/su10062049

Cited by 6 publications

(2 citation statements)

References 38 publications

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“…The variations in ked phenology could be linked to an increase in temperatures in Europe [32,33]. Monitoring programs in Central Europe have revealed an increase in average temperatures, in particular between January and August, as well as temperature extremes between 1961 and 2010 [34].…”

Section: Discussionmentioning

confidence: 99%

Temporal-Microclimatic Factors Affect the Phenology of Lipoptena fortisetosa in Central European Forests

Gałęcki

Jaroszewski

et al. 2020

Animals

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The objective of this study was to determine the correlations between the abundance of Lipoptena fortisetosa on new potential hosts and selected temporal-microclimatic conditions in a forest at the beginning of the host-seeking period. Louse flies were collected between 6 May and 15 July of 2019 and 2020 in a natural mixed forest in Poland. Keds were collected by three investigators walking along the same forest route during each sampling session. The number of captured keds and the date (time), temperature (°C), relative humidity (%), air pressure (hPa) and wind speed (km/h) were recorded. A total of five measurements were performed during each sampling session. The influence of temporal-microclimatic conditions on the number of collected ectoparasites was evaluated with the use of a Generalized Additive Model (GAM). A total of 1995 individuals were obtained during field surveys. The results of the GAM revealed a correlation between the number of host seeking L. fortisetosa vs. time, temperature, relative humidity, and wind speed. An increase in temperature was most highly correlated with the abundance of louse flies in the environment.

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Section: Discussionmentioning

confidence: 99%

Temporal-Microclimatic Factors Affect the Phenology of Lipoptena fortisetosa in Central European Forests

Gałęcki

Jaroszewski

et al. 2020

Animals

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“…As one of the main tasks of this study was to determine the importance of time-lapse photography, it was necessary to include multitemporal data throughout the growing season. The time period from April to September was chosen due to a significant increase in temperature over recent years, especially in the Ore Mountains [88], which also includes part of the selected study site. Due to the general increase in the temperature, it can be assumed that all the field crops and grass species will be in the full phase of phenological growth at this time interval.…”

Section: Input Datamentioning

confidence: 99%

Selecting Relevant Biological Variables Derived from Sentinel-2 Data for Mapping Changes from Grassland to Arable Land Using Random Forest Classifier

Šandera

Štych

2020

Land

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Permanent grassland is one of the monitored categories of land use, land use change, and forestry (LULUCF) within the climate concept and greenhouse gas reduction policy (Regulation (EU) 2018/841). Mapping the conditions and changes of permanent grasslands is thus very important. The area of permanent grassland is strongly influenced by agricultural subsidy policies. Over the course of history, it is possible to trace different shares of permanent grassland within agricultural land and areas with significant changes from grassland to arable land. The need for monitoring permanent grassland and arable land has been growing in recent years. New subsidy policies determining farm management are beginning to affect land use, especially in countries that have joined the EU in recent waves. The large amount of freely available satellite data enables this monitoring to take place, mainly owing to data products of the Copernicus program. There are a large number of parameters (predictors) that can be calculated from satellite data, but finding the right combination is very difficult. This study presents a methodical, systematic procedure using the random forest classifier and its internal metric of mean decrease accuracy (MDA) to select the most suitable predictors to detect changes from permanent grassland to arable land. The relevance of suitable predictors takes into account the date of the satellite image, the overall accuracy of change detection, and the time required for calculations. Biological predictors, such as leaf area index (LAI), fraction absorbed photosynthetically active radiation (FAPAR), normalized difference vegetation index (NDVI), etc. were tested in the form of a time series from the Sentinel-2 satellite, and the most suitable ones were selected. FAPAR, canopy water content (CWC), and LAI seemed to be the most suitable. The proposed change detection procedure achieved a very high accuracy of more than 95% within the study site with an area of 8766 km2.

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Visualisierung der Auswirkungen des Klimawandels in der sächsisch-böhmischen Grenzregion

Schneider¹,

Schmitt²,

Hoy³

2021

Wasserwirtsch

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Climatic Changes and Their Relation to Weather Types in a Transboundary Mountainous Region in Central Europe

Cited by 6 publications

References 38 publications

Temporal-Microclimatic Factors Affect the Phenology of Lipoptena fortisetosa in Central European Forests

Temporal-Microclimatic Factors Affect the Phenology of Lipoptena fortisetosa in Central European Forests

Selecting Relevant Biological Variables Derived from Sentinel-2 Data for Mapping Changes from Grassland to Arable Land Using Random Forest Classifier

Visualisierung der Auswirkungen des Klimawandels in der sächsisch-böhmischen Grenzregion

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