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5 results for “Forest bioeconomy”

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zenodo44/100

Innovative forest products in the circular bioeconomy: online survey questionnaire and dataset

<p>This upload includes the dataset and questionnaire for an online survey with stakeholders, as part of a case study done for the BioMonitor project. The survey participants work in EU-based organizations involved in the development and manufacture of forest products, especially of the following categories: construction materials, textiles, chemicals, bioplastics, and wood-based composites.</p> <p>&nbsp;<br> <strong>About BioMonitor</strong><br> BioMonitor is an EU-funded project (biomonitor.eu) that aims to establish a sustainable and robust framework that different stakeholders can use to monitor and measure the bioeconomy and its various impacts in relation to the EU and its Member States. The BioMonitor consortium is composed of a team of universities, statistical and standardisation institutes as well as consultancies and data modelling experts.</p> <p><em>This work was supported by the BioMonitor project, which has received funding from the European Union&rsquo;s Horizon 2020 Research and Innovation Programme under Grant Agreement N&deg; 773297.</em></p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Innovative forest products in the circular bioeconomy: questionnaire for semi-structured interview

<p>This upload includes the questionnaire for semi-structured interviews with stakeholders, as part of a case study done for the BioMonitor project. The data collected during the interviews are&nbsp;not publicly available as the dataset contains sensitive information of the organizations involved in the study.<br> The interview participants work in EU-based organizations involved in the development and manufacture of forest products, especially of the following categories: construction materials, textiles, chemicals, bioplastics, and wood-based composites.</p> <p>&nbsp;<br> <strong>About BioMonitor</strong><br> BioMonitor is an EU-funded project (biomonitor.eu) that aims to establish a sustainable and robust framework that different stakeholders can use to monitor and measure the bioeconomy and its various impacts in relation to the EU and its Member States. The BioMonitor consortium is composed of a team of universities, statistical and standardisation institutes as well as consultancies and data modelling experts.</p> <p><em>This work was supported by the BioMonitor project, which has received funding from the European Union&rsquo;s Horizon 2020 Research and Innovation Programme under Grant Agreement N&deg; 773297.</em></p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions

<p>To reach the Paris Agreement, societies need to increase the global terrestrial carbon sink. There are many climate change mitigation solutions (CCMS) for forests, including increasing bioenergy, bioeconomy and protection. Bioenergy and bioeconomy solutions use climate-smart, intensive management to generate high quantities of bioenergy and bioproducts. Protection of (semi-)natural forests is a major component of 'natural climate solution' (NCS) since forests store carbon in standing biomass and soil. Furthermore, protected forests provide more habitat for biodiversity and non-wood ecosystem services (ES). We investigated the impacts of different CCMS and climate scenarios, jointly or in isolation, on future wood ES, non-wood ES, and regulating ES for a major wood provider for the international market. Specifically, we projected future ES given by three CCMS scenarios for Sweden 2020-2100. In the long term, fulfilling the increasing wood demand through bioenergy and bioeconomy solutions will decrease ES multifunctionality, but the increased stand age and wood stocks induced by rising greenhouse gas (GHG) concentrations will partially offset these negative effects. Adopting bioenergy and bioeconomy solutions will have a greater negative impact on ES supply than adopting NCS. Bioenergy or bioeconomy solutions, as well as increasing GHG emissions, will reduce synergies and increase trade-offs in ES. NCS, by contrast, increases the supply of multiple ES in synergy, even transforming current ES trade-offs into future synergies. Moreover, NCS can be considered an adaptation measure to offset negative climate change effects on the future supplies of non-wood ES. In boreal countries around the world, forestry strategies that integrate NCS more deeply are crucial to ensure a synergistic supply of multiple ES.</p>

opencc-zeroFeb 2023View details →
zenodo36/100

Real-Time Delphi data: How to identify and interpret weak signals of change in the forest bioeconomy

<p>Data from: Mauno, T., Catelo, F., Bengston, D.N., Pyk&auml;l&auml;inen, J. &amp; Hujala, T. 2023. How to identify and interpret weak signals of change in the forest bioeconomy. Forest Policy and Economics. <a href="https://doi.org/10.1016/j.forpol.2023.103075?_gl=1*a2eeob*_ga*NDE0MDgzOTYwLjE2OTY0ODY2MTY.*_ga_NY8L5SJPMB*MTY5NjQ5NDIxNi4yLjEuMTY5NjUwMTI0Mi4wLjAuMA..">https://doi.org/10.1016/j.forpol.2023.103075</a></p> <p>This exploratory study sought to understand how to identify and interpret weak signals of change that may have an impact on the forest bioeconomy. An international panel of experts in the forest bioeconomy and in foresight provided their views through a two-stage Real-Time Delphi method which utilized the multiple rounds of traditional Delphi and the instantaneous feedback of the Real-Time Delphi method.</p> <p>The Real-Time Delphi exercise was conducted in two stages through the eDelphi software (edelphi.org); the first stage was focused on <em>Changes</em> and the second on <em>Weak Signals</em>. For the Real-Time Delphi exercise, two expert matrices (forest bioeconomy matrix and&nbsp;futures &amp; foresight matrix) were prepared with the aim of obtaining diverse expertise to participate in the study.</p> <p>The first stage was conducted during a 10-day period in early September 2022 (Sep 5, 2022 &ndash; Sep 14, 2022). The second stage was also conducted&nbsp;during a 10-day period later in September 2022 (Sep 21, 2022 &ndash; Sep 30, 2022). A total of 11 (6 forest bioeconomy experts and 5 futures research and foresight specialists) participated in both eDelphi stages.</p> <p>This dataset includes: (i) completed Real-Time Delphi stages (including anonymized answers and discussions of 11 participants) (ii) questions for both Real-Time Delphi stages, and (iii) anonymized expert matrices (forest bioeconomy matrix and&nbsp;futures &amp; foresight matrix)</p> <p>For more information, please contact the corresponding author (data controller): Tuomas Mauno (University of Eastern Finland), tuomas.mauno@uef.fi</p>

opencc-by-4.0Oct 2023View details →
dryad36/100

Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions

Open the record for dataset details and reuse information.

publicFeb 2023View details →

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