Suchergebnisse

Acknowledgments The authors acknowledge the valuable comments and suggestions made by members of the Committee of Fisheries of the European Parliament. The authors would also like to thank the financial support of the European Parliament (Grant N° IP/B/PECH/IC/2014-084). SV and MA thank financial support from the Galician Government (Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia) (Grant N° GPC 2013-045). RS acknowledges the support of the Too Big to Ignore Partnership sponsored by the Social Sciences and Humanities Research Council of Canada. JMDR and JGC thank the financial support from the European Commission (Grant N° MINOW H2020-SFS-2014-2, N° 634495) and Xunta de Galicia (Grant N° GRC 2015/014 and ECOBAS). CP and GJP acknowledge the financial support of Caixa Geral de Depósitos (Portugal) and the University of Aveiro. CP would also like to acknowledge FCT/MEC national funds and FEDER co-funding, within the PT2020 partnership Agreement and Compete 2020, for the financial support to CESAM (Grant N° UID/AMB/50017/2013). Finally, the authors would like to acknowledge and thank the assistance of Ojama Priit and Marcus Brewer (European Parliament), and all small-scale fishers that took part in the survey. ; Peer reviewed ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint ; Postprint

The commitment by over 100 governments covering over 90% of the world's forests at the COP26 in Glasgow to end deforestation by 2030 requires more effective forest monitoring systems. The near real-time (NRT) change detection of forest cover loss enables forest landowners, government agencies and local communities to monitor natural and anthropogenic disturbances in a much timelier fashion than the thematic maps that are released every year. NRT deforestation alerts enable the establishment of more up-to-date forest inventories and rapid responses to unlicensed logging. The Copernicus Sentinel-2 satellites provide operational Earth observation (EO) data from multi-spectral optical/near-infrared wavelengths every five days at a global scale and at 10 m resolution. The amount of acquired data requires cloud computing or high-performance computing for ongoing monitoring systems and an automated system for processing, analyzing and delivering the information promptly. Here, we present a Sentinel-2-based NRT change detection system, assess its performance over two study sites, Manantlán in Mexico and Cartagena del Chairá in Colombia, and evaluate the forest changes that occurred in 2018. An independent validation with very high-resolution PlanetScope (~3 m) and RapidEye (~5 m) data suggests that the proposed NRT change detection system can accurately detect forest cover loss (> 87%), other vegetation loss (> 76%) and other vegetation gain (> 71%). Furthermore, the proposed NRT change detection system is designed to be attuned using in situ data. Therefore, it is scalable to larger regions, entire countries and even continents.

International audience ; Marine recreational fishing (MRF) is a high‐participation activity with large economic value and social benefits globally, and it impacts on some fish stocks. Although reporting MRF catches is a European Union legislative requirement, estimates are only available for some countries. Here, data on numbers of fishers, participation rates, days fished, expenditures, and catches of two widely targeted species were synthesized to provide European estimates of MRF and placed in the global context. Uncertainty assessment was not possible due to incomplete knowledge of error distributions; instead, a semi‐quantitative bias assessment was made. There were an estimated 8.7 million European recreational sea fishers corresponding to a participation rate of 1.6%. An estimated 77.6 million days were fished, and expenditure was €5.9 billion annually. There were higher participation, numbers of fishers, days fished and expenditure in the Atlantic than the Mediterranean, but the Mediterranean estimates were generally less robust. Comparisons with other regions showed that European MRF participation rates and expenditure were in the mid‐range, with higher participation in Oceania and the United States, higher expenditure in the United States, and lower participation and expenditure in South America and Africa. For both northern European sea bass (Dicentrarchus labrax, Moronidae) and western Baltic cod (Gadus morhua, Gadidae) stocks, MRF represented 27% of the total removals. This study highlights the importance of MRF and the need for bespoke, regular and statistically sound data collection to underpin European fisheries management. Solutions are proposed for future MRF data collection in Europe and other regions to support sustainable fisheries management.

International audience ; Marine recreational fishing (MRF) is a high‐participation activity with large economic value and social benefits globally, and it impacts on some fish stocks. Although reporting MRF catches is a European Union legislative requirement, estimates are only available for some countries. Here, data on numbers of fishers, participation rates, days fished, expenditures, and catches of two widely targeted species were synthesized to provide European estimates of MRF and placed in the global context. Uncertainty assessment was not possible due to incomplete knowledge of error distributions; instead, a semi‐quantitative bias assessment was made. There were an estimated 8.7 million European recreational sea fishers corresponding to a participation rate of 1.6%. An estimated 77.6 million days were fished, and expenditure was €5.9 billion annually. There were higher participation, numbers of fishers, days fished and expenditure in the Atlantic than the Mediterranean, but the Mediterranean estimates were generally less robust. Comparisons with other regions showed that European MRF participation rates and expenditure were in the mid‐range, with higher participation in Oceania and the United States, higher expenditure in the United States, and lower participation and expenditure in South America and Africa. For both northern European sea bass (Dicentrarchus labrax, Moronidae) and western Baltic cod (Gadus morhua, Gadidae) stocks, MRF represented 27% of the total removals. This study highlights the importance of MRF and the need for bespoke, regular and statistically sound data collection to underpin European fisheries management. Solutions are proposed for future MRF data collection in Europe and other regions to support sustainable fisheries management.

International audience ; Marine recreational fishing (MRF) is a high‐participation activity with large economic value and social benefits globally, and it impacts on some fish stocks. Although reporting MRF catches is a European Union legislative requirement, estimates are only available for some countries. Here, data on numbers of fishers, participation rates, days fished, expenditures, and catches of two widely targeted species were synthesized to provide European estimates of MRF and placed in the global context. Uncertainty assessment was not possible due to incomplete knowledge of error distributions; instead, a semi‐quantitative bias assessment was made. There were an estimated 8.7 million European recreational sea fishers corresponding to a participation rate of 1.6%. An estimated 77.6 million days were fished, and expenditure was €5.9 billion annually. There were higher participation, numbers of fishers, days fished and expenditure in the Atlantic than the Mediterranean, but the Mediterranean estimates were generally less robust. Comparisons with other regions showed that European MRF participation rates and expenditure were in the mid‐range, with higher participation in Oceania and the United States, higher expenditure in the United States, and lower participation and expenditure in South America and Africa. For both northern European sea bass (Dicentrarchus labrax, Moronidae) and western Baltic cod (Gadus morhua, Gadidae) stocks, MRF represented 27% of the total removals. This study highlights the importance of MRF and the need for bespoke, regular and statistically sound data collection to underpin European fisheries management. Solutions are proposed for future MRF data collection in Europe and other regions to support sustainable fisheries management.

Frontmatter -- Contents -- Universities, entrepreneurial ecosystems, and sustainability: An overview -- Part I: Universities and entrepreneurial ecosystems -- Chapter 1 Entrepreneurial ecosystems, learning regions, and the role of universities -- Chapter 2 The dark side of the university's participation in innovation ecosystems -- Chapter 3 Enablers to fostering interactions during entrepreneurship events within universitybased entrepreneurship ecosystems (U-BEEs) -- Chapter 4 Does education ensure entrepreneurial initiative? Approaching an entrepreneurial ecosystems taxonomy -- Chapter 5 The ambiguous role of best practice examples for knowledge spillovers: Evidence from universities and start-ups in the Berlin entrepreneurial ecosystem -- Part II: U–I cooperation and sustainability -- Chapter 6 Building sustainable entrepreneurial ecosystems: A mediated model of university–industry collaboration, knowledge creation, and the entrepreneurial environment -- Chapter 7 University–industry collaboration to support sustainability: An analysis of the determining factors for European Union countries -- Chapter 8 University business incubators as drivers of sustainability: The perspective of critical success factors -- Chapter 9 Universities as change agents of SMEs' sustainable innovation: A knowledge transfer view -- Chapter 10 University research centres as catalysers in entrepreneurial ecosystems: Fostering the transitions towards sustainable business models via the university–business interface -- Chapter 11 The Spinner Innovation: Factors for inclusion and advocating in sustainable ecosystems -- Part III: Universities and entrepreneurial activities -- Chapter 12 Boundary spanners enabling knowledge integration for sustainable innovations in university–industry research centres -- Chapter 13 An entrepreneurial ecosystem support model in the digital era: Crowdfunding -- Chapter 14 Steering productive entrepreneurship activities in emerging markets: The role of the university -- Chapter 15 Medical device scientists' influence on research impact within entrepreneurial ecosystems: A systematic literature review -- Chapter 16 Students' perceptions of university social responsibility: A cross-cultural comparison -- Chapter 17 Which pathways lead us to the university of the future? -- List of Figures -- List of Tables -- Contributors