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A Multicriteria Risk Analysis to Evaluate Impacts of Forest Management Alternatives on Forest Health in Europe Ecology and Society
Duncker, Philipp; Albert-Ludwigs-University Freiburg, Institute for Forest Growth;; Gardiner, Barry; Forest Research, Northern Research Station;; Grodzki, Wojciech; Forest Research Institute, Department of Forest Management in Mountain Regions;; Langstrom, Bo; The Swedish University of Agricultural Sciences, Department of Ecology;; Netherer, Sigrid; University of Natural Resources and Life Sciences, Department of Forest and Soil Sciences, Institute of Forest Entomology, Forest Pathology, and Forest Protection;; Nicoll, Bruce; Forest Research, Northern Research Station;; Orazio, Christophe; IEFC - EFI Atlantic;; Schelhaas, Mart-Jan; Centre for Ecosystem Studies, Alterra;; Tojic, Karl; Albert-Ludwigs-University Freiburg, Institute for Forest Growth;.
Due to climate change, forests are likely to face new hazards, which may require adaptation of our existing silvicultural practices. However, it is difficult to imagine a forest management approach that can simultaneously minimize all risks of damage. Multicriteria decision analysis (MCDA) has been developed to help decision makers choose between actions that require reaching a compromise among criteria of different weights. We adapted this method and produced a multicriteria risk analysis (MCRA) to compare the risk of damage associated with various forest management systems with a range of management intensity. The objective was to evaluate the effect of four forest management alternatives (FMAs) (i.e., close to nature, extensive management with combined...
Tipo: Peer-Reviewed Reports Palavras-chave: Abiotic; Biotic; Damage; Hazard; MCRA; Silviculture.
Ano: 2012
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Use of Setaria viridis (A10.1) as model plant for validation of genes for cold tolerance. Repositório Alice
SANTOS, M. de L.; SILVA, V. N. B. e.; VIEIRA, L. R.; SOUSA, C. A. F. de; SOUZA JUNIOR, M. T..
bitstream/item/173710/1/Hugo-et-al-I10.pdf
Tipo: Resumo em anais de congresso (ALICE) Palavras-chave: Cold; Tolerance; Setaria; Stress; Abiotic.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088851
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