Husmann, Kai

[["dc.bibliographiccitation.artnumber","2041-210X.14000"],["dc.bibliographiccitation.journal","Methods in Ecology and Evolution"],["dc.contributor.author","Husmann, Kai"],["dc.contributor.author","Bödeker, Kai"],["dc.contributor.author","Paul, Carola"],["dc.contributor.author","Knoke, Thomas"],["dc.contributor.author","von Groß, Volker"],["dc.contributor.author","Fuchs, Jasper Maximilian"],["dc.creator.author","Kai Husmann"],["dc.creator.author","Volker von Groß"],["dc.creator.author","Kai Bödeker"],["dc.creator.author","Jasper M. Fuchs"],["dc.creator.author","Carola Paul"],["dc.creator.author","Thomas Knoke"],["dc.date.accessioned","2022-12-01T08:31:11Z"],["dc.date.available","2022-12-01T08:31:11Z"],["dc.date.issued","2022"],["dc.description.abstract","1. How to simultaneously combat biodiversity loss and maintain ecosystem functioning while improving human welfare remains an open question. Optimization approaches have proven helpful in revealing the trade-offs between multiple functions and goals provided by land-cover configurations. The R package optim-Landuse provides tools for easy and systematic applications of the robust multiobjective land-cover composition optimization approach of Knoke et al. (2016).\r\n2. The package includes tools to determine the land-cover composition that bestbalances the multiple functions a landscape can provide, and tools for understanding and visualizing the reasoning behind these compromises. A tutorial based on a published dataset guides users through the application and highlights possible use-cases. \r\n3. Illustrating the consequences of alternative ecosystem functions on the theoretically optimal landscape composition provides easily interpretable information for landscape modelling and decision-making.\r\n4. The package opens the approach of Knoke et al. (2016) to the community of landscape modellers and planners and provides opportunities for straightforward systematic or batch applications."],["dc.description.sponsorship"," Bundesamt für Naturschutz https://doi.org/10.13039/501100010415"],["dc.description.sponsorship"," Bundesministerium für Bildung und Forschung https://doi.org/10.13039/501100002347"],["dc.description.sponsorship"," Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659"],["dc.description.sponsorship"," European Commission https://doi.org/10.13039/501100000780"],["dc.description.sponsorship"," Fachagentur Nachwachsende Rohstoffe https://doi.org/10.13039/501100010812"],["dc.identifier.doi","10.1111/2041-210X.14000"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118098"],["dc.identifier.url","https://doi.org/10.1111/2041-210X.14000"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-621"],["dc.relation","ONEforest"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","Potential of functional diversity for increasing the disturbance resiliency of forests and forest-based socio-ecological systems (FUNPOTENTIAL)"],["dc.relation.eissn","2041-210X"],["dc.relation.issn","2041-210X"],["dc.relation.orgunit","Abteilung Forstökonomie und nachhaltige Landnutzungsplanung"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","optimLanduse: A package for multiobjective land‐cover composition optimization under uncertainty"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","102738"],["dc.bibliographiccitation.journal","Forest Policy and Economics"],["dc.bibliographiccitation.volume","140"],["dc.contributor.author","Fuchs, Jasper Maximilian"],["dc.contributor.author","v. Bodelschwingh, Hilmar"],["dc.contributor.author","Lange, Alexander"],["dc.contributor.author","Paul, Carola"],["dc.contributor.author","Husmann, Kai"],["dc.date.accessioned","2022-04-25T05:55:59Z"],["dc.date.available","2022-04-25T05:55:59Z"],["dc.date.issued","2022"],["dc.description.abstract","Forest disturbances in Europe are very likely to increase in frequency and intensity. Assessing their economic consequences is required to identify feasible adaptation strategies. Such economic calculations depend on estimates for the reduction in revenues after disturbance events. These losses can be caused by both a lower wood quality as well as an oversupply on the wood markets. Despite its importance, data-driven approaches to quantify the consequences of disturbances on wood revenues in Central Europe are rare. We applied econometric time series analysis with Structural Vector Autoregressive (SVAR) models to harvest and sales data from Hesse, Germany. Additionally, we derived estimates for reductions in wood revenues for integration in bioeconomic simulation models. Our analyses indicate that the observed losses in wood revenues for spruce after disturbances are mainly due to an oversupply on the wood markets, rather than a loss in wood quality. In addition, the results suggest that calamities of transregional extent or multiple disturbances in subsequent years are likely to reduce wood revenues beyond the assumptions often used in bioeconomic simulation models. Although our results for beech were more ambiguous, they indicate that losses in revenues for beech after disturbances in the past were mainly due to a reduced wood quality. Our study highlights the importance of taking a differentiated view on the consequences of disturbances on wood revenues, considering their spatial extent and species-specific mechanisms."],["dc.identifier.doi","10.1016/j.forpol.2022.102738"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106604"],["dc.language.iso","en"],["dc.relatedmaterial.fulltext","https://authors.elsevier.com/a/1ey8s4y2D1cc1y"],["dc.relation","Potential of functional diversity for increasing the disturbance resiliency of forests and forest-based socio-ecological systems (FUNPOTENTIAL)"],["dc.relation","Economic impacts of climate change and extreme weather events on forestry and mitigation potentials through robust management strategies"],["dc.relation.issn","1389-9341"],["dc.relation.orgunit","Abteilung Forstökonomie und nachhaltige Landnutzungsplanung"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.subject.gro","Timber price fluctuation"],["dc.subject.gro","Wood market"],["dc.subject.gro","Wood assortments"],["dc.subject.gro","Impulse Response Function"],["dc.subject.gro","Disturbance economics"],["dc.subject.gro","Extreme events"],["dc.title","Quantifying the consequences of disturbances on wood revenues with Impulse Response Functions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]