Dataset
Carbon in biomass and soil at high elevation forest in Austria
Published by: BFW License: License not specified
Dataset Versions:
This Version
Version 1 | Release Date: 2018-04-17 12:00:00 |
Latest Version
Version 1 | Release Date: 2018-04-17 12:00:00 |
Cite this dataset:
Using this data set or resource, you should cite this data set according to the given copyright conditions with following citation rules:
Jandl et al (2018). Carbon in biomass and soil at high elevation forest in Austria, Version 1. Vienna, Austria. CCCA Data Centre. PID: https://hdl.handle.net/20.500.11756/0563079a. [February 7, 2023]
Resources
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Soil carbon stock in simulationCSV
The file contains the data id, "year" Year of simulation "mgmt" ---...
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Climate scenario A1BCSV
Climate data for SRES Scenario A1B for the station Obergurgl. The data are...
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Climate scenario B1CSV
Climate data for SRES Scenario B1 for the station Obergurgl. The data are...
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Economical assessment of different timber pricesXLSX
Starting point are different timber prices and subsidies. These prices are...
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Economical assessment of revenue vs harvesting ...XLS
Monetary assessment of different management scenarios / productivities...
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Stem biomass in m3 at different plots and ...CSV
The file contains ID treatment year standing stock of stem wood treatments...
Dataset Metadata
Owner and Contact Information regarding this dataset |
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Organization | BFW |
Metadata Point of Contact (Maintainer): | Robert Jandl |
Dataset Creator (Author): | Robert Jandl |
Citation Info | Jandl et al |
Basic Information about this dataset |
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Dataset Locator - URI | https://hdl.handle.net/20.500.11756/0563079a |
Abstract | We studied the economic performance of a high-elevation protection forest in the Alps, where productivity increases due to climate change and where the timber market for the dominating cembran pine (Pinus cembra) is favorable. We simulated the standing timber stock and the soil carbon pool for a 100-year period with climate-sensitive models and compared harvesting costs with expected revenues. Ourscenarios included different climates, intensities of timber extractions, parameters of the timber market, and the availability of government subsidies. Overall, the productivity of forests increases by approximately 15% until the end of the century. In a zero-management scenario the forest accumulates carbon both in the aboveground biomass and the soil. An extensive management strategy with moderate timber ex tractions every 50 years the carbon stocks in biomass and soil decline. A more intensive management scenario with extractions every 30 years leads to substantial losses of the soil and biomass carbon pools. In addition, the stand structure changes and the protective function of the forest is not sustainably ensured. Only at high prices for cembran pine timber and the availability of governmental subsidies for forest management timber production can be economically successful. The admixed European larch (Larix decidua) contributes only marginally. The main challenge are harvesting costs. The costs of timber extraction by a long-distance cableway logging system exceed the value of the harvested timber. Therefore, the intensification of forest management cannot be recommended from the perspective of timber production, sustainable forest management and protection against natural hazards. Leaving the forest unmanaged does not impose a particular threat to stand stability and is under the encountered situation a justified strategy |
Metadata Language | English |
License | notspecified |
Visibility | public |
Use Limitation | no limitation |
Date of creation (created) | April 17, 2018, 12:00 (UTC) |
Date of publication (issued) | April 17, 2018, 12:00 (UTC) |
Date of last modification (modified) | April 17, 2018, 12:49 (UTC) |
Server State of the Dataset | active |
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Dataset extentMap data © OpenStreetMap contributors
Tiles by MapQuest
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Coverage | - |
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Starting Date | 2018-04-17T14:46:00 |
Ending Date | 2018-04-17T14:46:00 |
Frequency | annual |
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Key-Value Information | - |
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Equivalent Scale | - |
Scale Distance | - |
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