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Wpływ warunków meteorologicznych na początek okresu wegetacyjnego lasów liściastych północno−wschodniej Polski

100%

Bartold M., Bochenek Z.

Sylwan

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2019

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tom 163

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nr 12

he paper aims at assessing the impact of meteorological conditions on the start of the growing season (SOS) over forests in north−eastern Poland. The main objective was to study which, and if so to what extent, the meteorological parameters can describe the changes of the onset of vegetation in broadleaved forests. Study area encompasses forest complexes located in north−eastern Poland, which are under the influence of maritime and continental climate characterized by a shorter vegetation period and large temperature fluctuations. In this study forest mask containing only pixels with 50% cover of broadleaved forests defined by CLC2012 was applied. The time−series of satellite images derived from VEGETATION mission were applied for determining the start of the growing season. 10−day composites of Normalized Difference Vegetation Index (NDVI) from 1999 to 2016, derived at 1 km pixel resolution were filtered with double logistic function in order to determine the SOS. The meteorological parameters such as maximum air temperature, total precipitation and surface solar radiation derived from field measurements one month before the start of the growing season were taken into account. The Pearson correlation results proved that only maximum air temperature was related to the onset of the growing season. The strength of the relations depended on the dominant trees recognized within the forest area. There were no statistically significant relations with the precipitation and solar surface radiation which could be explained by frequent clouds during the month before the SOS and not observed unfavorable conditions that could have impacted on the changes of the growing season in forests.

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Przemiany lasow w Gorach Izerskich i Karkonoszach w swietle interpretacji zdjec satelitarnych.

81%

Bochenek Z., Ciolkosz A., Iracka M.

Przegląd Geograficzny. Polska Akademia Nauk

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1998

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tom 70

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nr 3-4

237-248

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Teledetekcja w statystyce rolniczej

81%

Bochenek Z., Ciolkosz A., Faber A.

Wiadomości Statystyczne

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1995

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tom 40

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nr 12

4

Indicators of landscape diversity derived from remote sensing based land cover maps - spatial and thematic aspects

81%

Ziolkowski D., Turlej K., Bochenek Z.

Ecological Questions

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2013

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tom 17

Landscape is heterogeneous part of the Earth surface, forming mosaic of various habitats organized at different scales and levels (Johnson et al. 1992). The landscape pattern has important impact on ecological processes; hence its analysis through quantitative measures is essential for environmental studies. There are many indicators characterizing spatial structure of landscape at different level of detail; they enable analysis of landscape fragmentation at patch level, through studies at habitat level up to complex analyses at landscape level. Seven indicators, which are related to various levels of detail, were selected at the presented work. The following indicators have been studied: Patch Density, Edge Density, Patch Richness, Simpson Diversity Index, Natural Patch Richness, Percentage of Natural Landscape, Mean Natural Patch Area (McGarigal & Marks 1995). First two indicators were used for analysis of landscape fragmentation at patch level, next two at land cover level, while the last three were applied for studies of natural and semi-natural classes at both levels. The studies were performed at six test areas located in different regions of Europe (France, Germany, Poland, Latvia, Spain and Italy), using two different land cover maps. First map was based on Very High Resolution (VHR) Kompsat satellite images (4 m spatial resolution); it included 8 land cover categories with 0.25 ha Minimum Mapping Unit (MMU). CORINE Land Cover (CLC) map 2006 (25 ha MMU) was the second map used for analyses. Number of land cover classes in case of CLC map varied from 9 for Poland till 14 for France. All above mentioned indicators were calculated for grids with 100, 200, 500 and 1000 meter cell size, corresponding to 1, 4, 25 and 100 ha, respectively. The obtained results reveal high usefulness of land cover maps based on VHR satellite images for analysis of landscape fragmentation, even for grids with 100 m cell size. It was found that at patch level these materials are superior to CLC classifications, irrespective of cell area. In case of land cover level VHR data are better while using 100 and 200 m grid cells, whereas for larger cell sizes – 500 and 1000 m – results are not so evident, depending on degree of landscape fragmentation and spatial structure characteristic for individual land cover classes.

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Szacowanie plonow w uzytkach zielonych w skali regionalnej z zastoswaniem teledetekcji satelitarnej

61%

Kozlowska K., Dabrowska-Zielinska K., Ostrowski J., Ciolkosz A., Stankiewicz K., Bochenek Z.

Biblioteczka Wiadomości IMUZ

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2000

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tom 95

1-111

6

Feasibility of hyperspectral vegetation indices for the detection of chlorophyll concentration in three high Arctic plants: Salix polaris, Bistorta vivipara, and Dryas octopetala

61%

Zagajewski B., Kycko M., Tommervik H., Bochenek Z., Wojtun B., Bjerke J. W., Klos A.

Acta Societatis Botanicorum Poloniae

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2018

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tom 87

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nr 4

Remote sensing, which is based on a reflected electromagnetic spectrum, offers a wide range of research methods. It allows for the identification of plant properties, e.g., chlorophyll, but a registered signal not only comes from green parts but also from dry shoots, soil, and other objects located next to the plants. It is, thus, important to identify the most applicable remote-acquired indices for chlorophyll detection in polar regions, which play a primary role in global monitoring systems but consist of areas with high and low accessibility. This study focuses on an analysis of in situ-acquired hyperspectral properties, which was verified by simultaneously measuring the chlorophyll concentration in three representative arctic plant species, i.e., the prostrate deciduous shrub Salix polaris, the herb Bistorta vivipara, and the prostrate semievergreen shrub Dryas octopetala. This study was conducted at the high Arctic archipelago of Svalbard, Norway. Of the 23 analyzed candidate vegetation and chlorophyll indices, the following showed the best statistical correlations with the optical measurements of chlorophyll concentration: Vogelmann red edge index 1, 2, 3 (VOG 1, 2, 3), Zarco-Tejada and Miller index (ZMI), modified normalized difference vegetation index 705 (mNDVI 705), modified normalized difference index (mND), red edge normalized difference vegetation index (NDVI 705), and Gitelson and Merzlyak index 2 (GM 2). An assessment of the results from this analysis indicates that S. polaris and B. vivipara were in good health, while the health status of D. octopetala was reduced. This is consistent with other studies from the same area. There were also differences between study sites, probably as a result of local variation in environmental conditions. All these indices may be extracted from future satellite missions like EnMAP (Environmental Mapping and Analysis Program) and FLEX (Fluorescence Explorer), thus, enabling the efficient monitoring of vegetation condition in vast and inaccessible polar areas.

Ograniczanie wyników

1 Acta Societatis Botanicorum Poloniae

1 Biblioteczka Wiadomości IMUZ

1 Ecological Questions

1 Przegląd Geograficzny. Polska Akademia Nauk

1 Sylwan

1 Wiadomości Statystyczne

6 Bochenek Z.

3 Ciolkosz A.

1 Bartold M.

1 Bjerke J. W.

1 Dabrowska-Zielinska K.

1 Faber A.

1 Iracka M.

1 Klos A.

1 Kozlowska K.

1 Kycko M.

1 Ostrowski J.

1 Stankiewicz K.

1 Tommervik H.

1 Turlej K.

1 Wojtun B.

1 Zagajewski B.

1 Ziolkowski D.

1 2019

1 2018

1 2013

1 2000