Developing a Pilot Case and Modelling the Development of a Large European CO₂ Transport Infrastructure -The GATEWAY H2020 Project

The H2020 GATEWAY project aims to develop a comprehensive model Pilot Case which, intentionally, will pave the ground for CCS deployment in Europe. It will result from the assessment of, technical, commercial, judicial and societal issues related to a future CO2 transport infrastructure. The Pilot Case derived on this basis, will emphasize a gateway for CO2 transport in the North Sea Basin. Four potential pilot cases have been evaluated through a combination of techno-economic modelling of the individual cases and evaluation against more qualitative criteria. The chosen Pilot Case, Rotterdam Nucleus, will be refined and developed during the remaining period of the GATEWAY project. To maximise impact, the GATEWAY project adapts its work to lay the foundation for a future application to a European ‘Project of Common Interest’ (PCI). Continuous dialogue with the most relevant stakeholders is an important part of GATEWAY, as a Coordination and Support Action (CSA) H2020 project

Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard.

Acknowledgements: This research was conducted at the University Centre in Svalbard (UNIS), which provided background knowledge of the study sites and systems, accommodation, lab space, and logistical support for lab and field work during the PFTC4 course. Funding provided by the Norwegian Center for International Cooperation in Education (SIU) and the Research Council of Norway (grants 2013/10074, HNP2015/10037, INTPART 274831) made it possible to conduct this field course at Svalbard with 21 students from 12 nationalities and 4 continents as participants and co-authors to this data paper. The ITEX experiment and field site was funded by UNIS and the University of Iceland Research Funds (grants to ISJ) and the Research Council of Norway (grant 246080/E10). We thank Pernille Bronken Eidesen for introducing us to the local study systems and invaluable assistance with taxonomic identifications, Geir Wing Gabrielsen for background information on the seabird nutrient input gradient below the little auk colony in Bjørndalen, and Christine Schirmer and her team of internship students at the University of Arizona for assistance with stoichiometric and isotope analysis.The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions

Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard.

The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions

Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard

Abstract The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions

Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard

Acknowledgements: This research was conducted at the University Centre in Svalbard (UNIS), which provided background knowledge of the study sites and systems, accommodation, lab space, and logistical support for lab and field work during the PFTC4 course. Funding provided by the Norwegian Center for International Cooperation in Education (SIU) and the Research Council of Norway (grants 2013/10074, HNP2015/10037, INTPART 274831) made it possible to conduct this field course at Svalbard with 21 students from 12 nationalities and 4 continents as participants and co-authors to this data paper. The ITEX experiment and field site was funded by UNIS and the University of Iceland Research Funds (grants to ISJ) and the Research Council of Norway (grant 246080/E10). We thank Pernille Bronken Eidesen for introducing us to the local study systems and invaluable assistance with taxonomic identifications, Geir Wing Gabrielsen for background information on the seabird nutrient input gradient below the little auk colony in Bjørndalen, and Christine Schirmer and her team of internship students at the University of Arizona for assistance with stoichiometric and isotope analysis.The Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions