Vegetation dynamics in central european forest ecosystems (near-natural as well as managed) after storm events

Fischer, Anton; Lindner, Marcus; Abs, Clemens; Lasch, Petra

doi:10.1007/bf02803188

Cited by 133 publications

(116 citation statements)

References 11 publications

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“…In Central Europe, the most important natural disturbances in forests are storm events [1,2]. Disastrous events of, at least, "regional" dimensions have the potential to destabilize the timber market and trigger subsequent biotic calamities.…”

Section: Introductionmentioning

confidence: 99%

Forest Cover Database Updates Using Multi-Seasonal RapidEye Data—Storm Event Assessment in the Bavarian Forest National Park

Elatawneh

Wallner

Manakos

et al. 2014

Forests

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This study is a part of a research program that investigates the potential of RapidEye (RE) satellite data for timely updates of forest cover databases to reflect both regular management activities and sudden changes due to bark beetle and storms. Applied here in the Bavarian Forest National Park (BFNP) in southeastern Germany, this approach detected even small changes between two data takes, thus, facilitating documentation of regular management activities. In the case of a sudden event, forest cover databases also serve as a baseline for damage assessment. A storm event, which occurred on 13 July, 2011, provided the opportunity to assess the effectiveness of multi-seasonal RE data for rapid damage assessment. Images of sufficient quality (<20% cloud cover) acquired one day before the storm event were used as a baseline. Persistent cloud cover meant that the first "after event" image of sufficient quality was acquired six weeks later, on 22 August, 2011. Aerial images (AI) for the official damage assessment done by the BFNP administration were acquired on that same day. The RE analysis for damage assessment was completed two weeks after the post-event data take with an overall accuracy of 96% and a kappa coefficient of 0.86. In contrast, the official aerial image survey from the BFNP OPEN ACCESSForests 2014, 5 1285 was first released in late November, eleven weeks later. Comparison of the results from the two analyses showed a difference in the detected amount of forest cover loss of only 3%. The estimated cost of the RE approach was four times less than that of the standard digital AI procedure employed by the BFNP.

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Section: Introductionmentioning

confidence: 99%

Forest Cover Database Updates Using Multi-Seasonal RapidEye Data—Storm Event Assessment in the Bavarian Forest National Park

Elatawneh

Wallner

Manakos

et al. 2014

Forests

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“…Nowadays, 75% of area is in non-intervention (non-management) zone. In spite of disturbances forest is able to restore (Fischer et al, 2002;Jonášová & Prach, 2004;Nováková & Edward-Jonášová, 2015). A different approach to nature management is an obstacle for broader transboundary cooperation and creation of "Wild heart of Europe" project -one huge non-intervention area (Křenová & Kiener, 2012).…”

Section: Resultsmentioning

confidence: 99%

Complex Comparison of Bavarian and Bohemian Forest National Parks from Geographical Perspective: Is there More Similarity or Difference?

Janík

Romportl

2017

Journal of Landscape Ecology

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This article focuses on comparison of the landscape of two National Parks (Bavarian and Bohemian Forest), which together create the largest area of wilderness in Central Europe. The article shows how different they are in social-economic and physical-geographical perspective. Social and economic conditions were introduced from perspective of path dependency and recent situation and its perception. Furthermore, we integrated social-economic and environmental perspective in the ecosystem services concept. Despite the lesser number tourists arriving to the Bavarian part of the area, perception is better than among mayors of municipalities on the Czech side. Different history, management and top-down and bottom-up approaches usage can explain these differences. The typologies of environmental conditions help us to distinguish differences between both National Parks. In the Bavarian Forest we can find more equal share of forests (coniferous, broad-leaved, mixed) and surprisingly, thanks to large unmanaged part bigger relative share of regenerating forest landscapes than in the Bohemian Forest. Physical-geographical typology distinguishes five classes. Relative distribution of the classes is similar, but we can determine area of high plateau mainly on Czech side and on the other hand class of steeper terrain is located mainly in Bavarian Forest. Ecosystem services was presented by integrating landscape capacity analysis showing small differences between both National Parks in this case and no relation between land cover and attractiveness for tourism.

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“…However, using the ground vegetation as an indicator of site quality has several limitations, since the vegetation composition is affected by many factors. In forest ecosystems, such factors are primarily tree layer, especially its structure and tree species composition (Križová, Ujházy 1998;Ewald 2000;Fischer et al 2002;Bošeľa et al 2007) and disturbance history (Bergès et al 2006). On the other hand, Bergès et al (2006) observed that understorey vegetation ex- plained the same portion of variance in sessile oak site index as soil, climate and topography.…”

Section: Discussionmentioning

confidence: 99%

Site classification vs. wood production: a case study based on Silver fir growth dynamics in the Western Carpathians

Bošeľa¹,

Petráš²,

Smelko³

2011

J. For. Sci.

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ABSTRACT:We analysed wood production on an example of Silver fir growth ability within site units defined in the site classification that is currently used in the Western Carpathians. It has arisen as a very important issue, since the site units have been widely used in forestry practice and, moreover, it represents one of the input variables of growth model. Research plots established for development of a yield model for Silver fir in the sixties were used. The Korf growth equation was used to model the Silver fir growth, since it showed the best fit to the data compared to other equations. The test of residual variance of the growth models and the test of regression coefficients of the growth models were employed to investigate the differences in top-height growth of Silver fir occurring on different sites. Results showed a very high variability of the top height development within the site units. Nevertheless, two main groups of sites being different from each other were recognized. But, significant differences in the height growth of fir between site units were found mainly in mature stands starting at the age of 60, which could be due to different soil depth and nutrient regime. Lastly, discussions about the approaches to site classifications all over the world showed many alternatives used to develop a classification scheme with different and in many cases unknown precision, and thus there is a need for the objectivity of classification.

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Vegetation dynamics in central european forest ecosystems (near-natural as well as managed) after storm events

Cited by 133 publications

References 11 publications

Forest Cover Database Updates Using Multi-Seasonal RapidEye Data—Storm Event Assessment in the Bavarian Forest National Park

Forest Cover Database Updates Using Multi-Seasonal RapidEye Data—Storm Event Assessment in the Bavarian Forest National Park

Complex Comparison of Bavarian and Bohemian Forest National Parks from Geographical Perspective: Is there More Similarity or Difference?

Site classification vs. wood production: a case study based on Silver fir growth dynamics in the Western Carpathians

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