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| 2. |
- Ciarelli, Giancarlo, et al.
(author)
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Trends of inorganic and organic aerosols and precursor gases in Europe: Insights from the EURODELTA multi-model experiment over the 1990-2010 period
- 2019
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In: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 12:12, s. 4923-4954
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Journal article (peer-reviewed)abstract
- In the framework of the EURODELTA-Trends (EDT) modeling experiment, several chemical transport models (CTMs) were applied for the 1990-2010 period to investigate air quality changes in Europe as well as the capability of the models to reproduce observed long-term air quality trends. Five CTMs have provided modeled air quality data for 21 continuous years in Europe using emission scenarios prepared by the International Institute for Applied Systems Analysis/Greenhouse Gas - Air Pollution Interactions and Synergies (IIASA/GAINS) and corresponding year-by-year meteorology derived from ERA-Interim global reanalysis. For this study, long-term observations of particle sulfate (SO2 4-), total nitrate (TNO3), total ammonium (TNHx) as well as sulfur dioxide (SO2) and nitrogen dioxide (NO2) for multiple sites in Europe were used to evaluate the model results. The trend analysis was performed for the full 21 years (referred to as PT) but also for two 11-year subperiods: 1990-2000 (referred to as P1) and 2000-2010 (referred to as P2). The experiment revealed that the models were able to reproduce the faster decline in observed SO2 concentrations during the first decade, i.e., 1990-2000, with a 64%-76% mean relative reduction in SO2 concentrations indicated by the EDT experiment (range of all the models) versus an 82% mean relative reduction in observed concentrations. During the second decade (P2), the models estimated a mean relative reduction in SO2 concentrations of about 34%-54%, which was also in line with that observed (47%). Comparisons of observed and modeled NO2 trends revealed a mean relative decrease of 25% and between 19% and 23% (range of all the models) during the P1 period, and 12% and between 22% and 26% (range of all the models) during the P2 period, respectively. Comparisons of observed and modeled trends in SO4 2- concentrations during the P1 period indicated that the models were able to reproduce the observed trends at most of the sites, with a 42%-54% mean relative reduction indicated by the EDT experiment (range of all models) versus a 57% mean relative reduction in observed concentrations and with good performance also during the P2 and PT periods, even though all the models overpredicted the number of statistically significant decreasing trends during the P2 period. Moreover, especially during the P1 period, both modeled and observational data indicated smaller reductions in SO42- concentrations compared with their gas-phase precursor (i.e., SO2), which could be mainly attributed to increased oxidant levels and pH-dependent cloud chemistry. An analysis of the trends in TNO3 concentrations indicated a 28%-39% and 29% mean relative reduction in TNO3 concentrations for the full period for model data (range of all the models) and observations, respectively. Further analysis of the trends in modeled HNO3 and particle nitrate (NO-3 ) concentrations revealed that the relative reduction in HNO3 was larger than that for NO-3 during the P1 period, which was mainly attributed to an increased availability of "free ammonia". By contrast, trends in modeled HNO3 and NO-3 concentrations were more comparable during the P2 period. Also, trends of TNHx concentrations were, in general, underpredicted by all models, with worse performance for the P1 period than for P2. Trends in modeled anthropogenic and biogenic secondary organic aerosol (ASOA and BSOA) concentrations together with the trends in available emissions of biogenic volatile organic compounds (BVOCs) were also investigated. A strong decrease in ASOA was indicated by all the models, following the reduction in anthropogenic non-methane VOC (NMVOC) precursors. Biogenic emission data provided by the modeling teams indicated a few areas with statistically significant increase in isoprene emissions and monoterpene emissions during the 1990-2010 period over Fennoscandia and eastern European regions (i.e., around 14 %-27 %), which was mainly attributed to the increase of surface temperature. However, the modeled BSOA concentrations did not linearly follow the increase in biogenic emissions. Finally, a comprehensive evaluation against positive matrix factorization (PMF) data, available during the second period (P2) at various European sites, revealed a systematic underestimation of the modeled SOA fractions of a factor of 3 to 11, on average, most likely because of missing SOA precursors and formation pathways, with reduced biases for the models that accounted for chemical aging of semi-volatile SOA components in the atmosphere.
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| 3. |
- Colette, Augustin, et al.
(author)
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EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010
- 2017
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In: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 10:9, s. 3255-3276
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Journal article (peer-reviewed)abstract
- The EURODELTA-Trends multi-model chemistry-transport experiment has been designed to facilitate a better understanding of the evolution of air pollution and its drivers for the period 1990–2010 in Europe. The main objective of the experiment is to assess the efficiency of air pollutant emissions mitigation measures in improving regional-scale air quality. The present paper formulates the main scientific questions and policy issues being addressed by the EURODELTA-Trends modelling experiment with an emphasis on how the design and technical features of the modelling experiment answer these questions. The experiment is designed in three tiers, with increasing degrees of computational demand in order to facilitate the participation of as many modelling teams as possible. The basic experiment consists of simulations for the years 1990, 2000, and 2010. Sensitivity analysis for the same three years using various combinations of (i) anthropogenic emissions, (ii) chemical boundary conditions, and (iii) meteorology complements it. The most demanding tier consists of two complete time series from 1990 to 2010, simulated using either time-varying emissions for corresponding years or constant emissions. Eight chemistry-transport models have contributed with calculation results to at least one experiment tier, and five models have – to date – completed the full set of simulations (and 21-year trend calculations have been performed by four models). The modelling results are publicly available for further use by the scientific community. The main expected outcomes are (i) an evaluation of the models' performances for the three reference years, (ii) an evaluation of the skill of the models in capturing observed air pollution trends for the 1990–2010 time period, (iii) attribution analyses of the respective role of driving factors (e.g. emissions, boundary conditions, meteorology), (iv) a dataset based on a multi-model approach, to provide more robust model results for use in impact studies related to human health, ecosystem, and radiative forcing.
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| 4. |
- Fraude, Carolin, et al.
(author)
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Creating space for reflection and dialogue: Examples of new modes of communication for empowering climate action
- 2021
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In: GAIA. - : Oekom Publishers GmbH. - 0940-5550. ; 30:3, s. 174-180
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Journal article (peer-reviewed)abstract
- “The definition of insanity is doing the same thing over and over again but expecting different results.” This quote by Albert Einstein highlights our need for new formats of communication to address the knowledge-action gap regarding climate change and other sustainability challenges. This includes reflection, and communication spaces, as well as methods and approaches that can catalyze the emergence of transformative change and action. In this article we present and reflect on experiments we carried out at international climate negotiations and conferences.
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| 5. |
- Mar, Kathleen, et al.
(author)
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Fostering Reflection, Dialogue and Collaboration among Actors at the UN Climate Change Conferences
- 2021
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Reports (other academic/artistic)abstract
- At their core, the UN Climate Change conferences known as “COPs” are the primary international venue for negotiating how countries should act and cooperate to avoid dangerous climate change. The 2015 Paris Agreement is its most recent notable success. Although the climate negotiations are a state government-led process, the UNFCCC (United Nations Framework Convention on Climate Change) community has increasingly recognized the need for dialogue and engagement with non-governmental stakeholders in acknowledgement of the critical role they will play in mobilizing and implementing climate change solutions. Non-governmental stakeholders include science, civil society, the private sector, and local communities. Such non-governmental stakeholders also attend the COP in large numbers, where they aspire to influence the negotiations, make their voices heard, and generally contribute to advancing climate action. Indeed, the COP has tremendous convening power, annually bringing together tens of thousands of people working on diverse aspects of climate policy, science, and advocacy in one place at the same time. Despite this enormous collective potential, a communication culture has developed that relies heavily on conventional presentation and panel formats that are not conducive to mutual engagement and learning. We therefore see a need to reinvigorate the COPs through new formats of dialogue that can better foster collaboration and co-creation of climate change solutions. Against this backdrop we make the following three recommendations to foster reflection, dialogue, and collaboration among diverse actors at the UN Climate Change conferences, focusing on the interactions that take place outside the formal negotiations. These recommendations are intended to be actionable by different types of meeting hosts at the COP, including observers, Party delegates, the UNFCCC Secretariat and the COP presidency.
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| 6. |
- Mar, Kathleen, et al.
(author)
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Learning and community building in support of collective action : Toward a new climate of communication at the COP
- 2023
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In: Wiley Interdisciplinary Reviews: Climate Change. - : Wiley. - 1757-7799. ; 14:4
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Journal article (peer-reviewed)abstract
- The international UN Climate Change conferences known as “Conferences of the Parties (COPs)” have an enormous convening power and are attended annually by tens of thousands of actors working on climate change topics from a wide range of perspectives. In the COP spaces outside of the formal negotiations, the communication culture is dominated by “side events,” a format that relies heavily on conventional presentations and panels that can be informative, but is generally not conducive to mutual engagement, reflection, or dialogue. There is an urgent need for new dialogue formats that can better foster learning and community-building and thereby harness the enormous latent potential for climate action represented by the diverse stakeholders that gather at the COP. Against this backdrop, and drawing on our experience with the development and implementation of the Co-Creative Reflection and Dialogue Spaces at COP25, COP26, and COP27, we make recommendations for further developing the communication culture of the COPs. At the level of individual sessions, we provide recommendations for designing participatory dialogues that can better support reflection, interconnection, and action orientation. In addition, we offer guidance for scaling up these practices, for instance through networks and communities of practice to support a shift of the overall communication culture of the COPs. Our recommendations focus on interactions and exchanges that unfold outside of the formal negotiation sessions, with a view toward enabling and accelerating transformative action by non-state actors.
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| 7. |
- Obergassel, Wolfgang, et al.
(author)
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From regime-building to implementation : Harnessing the UN climate conferences to drive climate action
- 2022
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In: Wiley Interdisciplinary Reviews. - : Wiley. - 1757-7780 .- 1757-7799. ; 13:6
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Journal article (peer-reviewed)abstract
- The gap between the internationally agreed climate objectives and tangible emissions reductions looms large. We explore how the supreme decision-making body of the United Nations Framework Convention on Climate Change (UNFCCC), the Conference of the Parties (COP), could develop to promote more effective climate policy. We argue that promoting implementation of climate action could benefit from focusing more on individual sectoral systems, particularly for mitigation. We consider five key governance functions of international institutions to discuss how the COP and the sessions it convenes could advance implementation of the Paris Agreement: guidance and signal, rules and standards, transparency and accountability, means of implementation, and knowledge and learning. In addition, we consider the role of the COP and its sessions as mega-events of global climate policy. We identify opportunities for promoting sectoral climate action across all five governance functions and for both the COP as a formal body and the COP sessions as conducive events. Harnessing these opportunities would require stronger involvement of national ministries in addition to the ministries of foreign affairs and environment that traditionally run the COP process, as well as stronger involvement of non-Party stakeholders within formal COP processes. This article is categorized under: Policy and Governance > International Policy Framework
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| 8. |
- Osorio, Ana, et al.
(author)
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DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers.
- 2014
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In: PLoS Genetics. - : Public Library of Science (PLoS). - 1553-7404. ; 10:4
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Journal article (peer-reviewed)abstract
- Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7×10-3) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95%CI: 1.03-1.21, p = 4.8×10-3). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied.
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| 9. |
- Otero, Noelia, et al.
(author)
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A multi-model comparison of meteorological drivers of surface ozone over Europe
- 2018
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In: Atmospheric Chemistry and Physics. - : Copernicus GmbH. - 1680-7316 .- 1680-7324. ; 18:16, s. 12269-12288
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Journal article (peer-reviewed)abstract
- The implementation of European emission abatement strategies has led to a significant reduction in the emissions of ozone precursors during the last decade. Ground-level ozone is also influenced by meteorological factors such as temperature, which exhibit interannual variability and are expected to change in the future. The impacts of climate change on air quality are usually investigated through air-quality models that simulate interactions between emissions, meteorology and chemistry. Within a multi-model assessment, this study aims to better understand how air-quality models represent the relationship between meteorological variables and surface ozone concentrations over Europe. A multiple linear regression (MLR) approach is applied to observed and modelled time series across 10 European regions in springtime and summertime for the period of 2000-2010 for both models and observations. Overall, the air-quality models are in better agreement with observations in summertime than in springtime and particularly in certain regions, such as France, central Europe or eastern Europe, where local meteorological variables show a strong influence on surface ozone concentrations. Larger discrepancies are found for the southern regions, such as the Balkans, the Iberian Peninsula and the Mediterranean basin, especially in springtime. We show that the air-quality models do not properly reproduce the sensitivity of surface ozone to some of the main meteorological drivers, such as maximum temperature, relative humidity and surface solar radiation. Specifically, all air-quality models show more limitations in capturing the strength of the ozone-relative-humidity relationship detected in the observed time series in most of the regions, for both seasons. Here, we speculate that dry-deposition schemes in the air-quality models might play an essential role in capturing this relationship. We further quantify the relationship between ozone and maximum temperature (m(o3-T), climate penalty) in observations and air-quality models. In summertime, most of the air-quality models are able to reproduce the observed climate penalty reasonably well in certain regions such as France, central Europe and northern Italy. However, larger discrepancies are found in springtime, where air-quality models tend to overestimate the magnitude of the observed climate penalty.
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| 10. |
- Saastamoinen, Marjo, et al.
(author)
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Genetics of dispersal
- 2018
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In: Biological Reviews. - : Wiley. - 1464-7931 .- 1469-185X. ; 93:1, s. 574-599
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Research review (peer-reviewed)abstract
- Dispersal is a process of central importance for the ecological and evolutionary dynamics of populations and communities, because of its diverse consequences for gene flow and demography. It is subject to evolutionary change, which begs the question, what is the genetic basis of this potentially complex trait? To address this question, we (i) review the empirical literature on the genetic basis of dispersal, (ii) explore how theoretical investigations of the evolution of dispersal have represented the genetics of dispersal, and (iii) discuss how the genetic basis of dispersal influences theoretical predictions of the evolution of dispersal and potential consequences. Dispersal has a detectable genetic basis in many organisms, from bacteria to plants and animals. Generally, there is evidence for significant genetic variation for dispersal or dispersal-related phenotypes or evidence for the micro-evolution of dispersal in natural populations. Dispersal is typically the outcome of several interacting traits, and this complexity is reflected in its genetic architecture: while some genes of moderate to large effect can influence certain aspects of dispersal, dispersal traits are typically polygenic. Correlations among dispersal traits as well as between dispersal traits and other traits under selection are common, and the genetic basis of dispersal can be highly environment-dependent. By contrast, models have historically considered a highly simplified genetic architecture of dispersal. It is only recently that models have started to consider multiple loci influencing dispersal, as well as non-additive effects such as dominance and epistasis, showing that the genetic basis of dispersal can influence evolutionary rates and outcomes, especially under non-equilibrium conditions. For example, the number of loci controlling dispersal can influence projected rates of dispersal evolution during range shifts and corresponding demographic impacts. Incorporating more realism in the genetic architecture of dispersal is thus necessary to enable models to move beyond the purely theoretical towards making more useful predictions of evolutionary and ecological dynamics under current and future environmental conditions. To inform these advances, empirical studies need to answer outstanding questions concerning whether specific genes underlie dispersal variation, the genetic architecture of context-dependent dispersal phenotypes and behaviours, and correlations among dispersal and other traits.
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