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5. On the operationalization of a spatially explicit evaluation of the complexity of land use trajectories in semi-arid Mediterranean agro-ecosystems

Author

Nainggolan, Doan

Subjects
577.5
Abstract

This thesis aims to unpack the complexity of trajectories of land use change in semiarid Mediterranean agro-ecosystems - illustrated using findings from the Torrealvilla catchment in south-eastern Spain. The research looks at multiple dimensions of land use change and addresses the past, present, and future . It comprises of three key stages. Stage 1 quantifies land use change between 1956 and 2008, assesses the impacts on landscape fragmentation, and identifies important drivers of the detected changes. Stage 2 examines the linkage between farmer heterogeneity and the diversity of agricultural land uses in the studied landscape by developing a typology of farmers. It also investigates how farmers respond to future changes that potentially affect their farming and describes potential future trajectories of agriculture in the area and the implications for agro-ecosystem services provision. Stage 3 models the future trajectories of land use change for the studied landscape using two different approaches: Cellular Automata (CA) and Agent-Based scenario analysis. The research shows that over the past five decades the catchment has undergone significant changes with pronounced effects on landscape configuration. The changes involved three major trajectories (forest expansion, abandonment of rain-fed farming, and intensification) and were attributable to various interacting biophysical and socioeconomic drivers. The study differentiates six types of farmers according to the characteristics of their households and of their farm management. Different types of farmers are expected to pursue different land use directions with important impacts on future provision of agro-ecosystem services. Results from the final stage highlight a diverging future . "'To illustrate, while CA projection suggests scope for further expansion of irrigated farming, the agent-based scenario analysis indicates the opposite. Overall the thesis confirms that land use changes in Mediterranean agro-ecosystems are indeed complex entailing multiple, contrasting, and perhaps competing trajectories and are the manifestation of the interacting effects of various types of drivers. The thesis highlights conceptual and practical challenges in undertaking an integrated evaluation of land use change complexity. Future policy making should consider the various factors that are jointly shaping agricultural land use trajectories.

Published
2012

9. Synergies between climate and biodiversity objectives in laws, policies and management practices

Author

Engelbrecht Hansen, Amalie, primary, Borgman, Elvira, additional, Fischer-Bogason, Rikke, additional, Nainggolan, Doan, additional, Engen, Sigrid, additional, Tunaal White, Lajla, additional, Olsen Kyrkjeeide, Magni, additional, Nowell, Megan Sarah, additional, Woroniecki, Stephen, additional, Heimes, Katharina, additional, and Kaupi, Pekka, additional

Published
2023
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10. National arealforvaltningsmodel for vand, klima, biodiversitet og friluftsliv

Author

Termansen, Mette, Hasler, Berit, Levin, Gregor, Filippelli, Raphael, Lundhede, Thomas, Strange, Niels, Nainggolan, Doan, Bladt, Jesper, Zandersen, Marianne, Termansen, Mette, Hasler, Berit, Levin, Gregor, Filippelli, Raphael, Lundhede, Thomas, Strange, Niels, Nainggolan, Doan, Bladt, Jesper, and Zandersen, Marianne

Published
2023

11. Does risk preference influence farm level adaptation strategies?:Survey evidence from Denmark

Author

Nainggolan, Doan, Moeis, Faizal Rahmanto, Termansen, Mette, Nainggolan, Doan, Moeis, Faizal Rahmanto, and Termansen, Mette

Abstract

Farmers’ decisions to adopt new technology or measures for agricultural production processes are crucial for adapting to climate change. Meanwhile, risk preference has received great attention over the years in agriculture-related studies as it has been identified as a strong driver for agricultural production decisions. However, empirical studies on the relationship between farmers' risk preferences and adaptation choices in response to climate change remain scant. The present study, utilizing data from a farmer survey in Denmark, aims to examine farmer risk attitude and determine to what extent it influences crop choice decisions, such as crop changes, as an important part of farm level adaptation strategies. Applying a logit regression method, our study finds that: (1) the majority of farmers in the survey were identified as risk tolerant; (2) several demographic and socio-economic factors, such as work experience and farmland tenure were significantly related with farmer risk preference; (3) actual adoption of the majority of farm level adaptation strategies through crop changes and management was found to be significantly less likely for risk averse farmers compared to risk tolerant farmers. Therefore, policy development to promote successful adaptation measures in the agricultural sector should take into account farmers' risk preferences. To this end, risk averse farmers may need better targeting strategies. Future studies could further investigate the role of farmers' risk preferences on the adoption of a wider range of climate change adaptation and mitigation measures and technologies.

Published
2023

12. Synergies between climate and biodiversity objectives in laws, policies and management practices

Author

Engelbrecht Hansen, Amalie, Borgman, Elvira, Fischer-Bogason, Rikke, Nainggolan, Doan, Engen, Sigrid, Tunaal White, Lajla, Olsen Kyrkjeeide, Magni, Nowell, Megan Sarah, Woroniecki, Stephen, Heimes, Katharina, Kaupi, Pekka, Engelbrecht Hansen, Amalie, Borgman, Elvira, Fischer-Bogason, Rikke, Nainggolan, Doan, Engen, Sigrid, Tunaal White, Lajla, Olsen Kyrkjeeide, Magni, Nowell, Megan Sarah, Woroniecki, Stephen, Heimes, Katharina, and Kaupi, Pekka

Abstract

The study supports the exchange of knowledge to further develop effective policy and management tools for nature-based solutions for the climate and the environment. The study compiles good examples which shed light on how the Nordic countries have been successful inimplementing measures to simultaneously address climate change, pollution and biodiversityobjectives in laws, policies and administrative practices, including highlighting potential barriers forimplementing integrated policy solutions. Moreover, it provides recommendations for screening methods of laws, policies and management practices to revealuntapped synergies between climate change, pollution and biodiversity measures. Finally, the report proposes joint Nordic initiatives that can maximise synergies between biodiversity, climateand pollution initiatives in the Nordic region and globally.

Published
2023
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13. Arctic Freshwater Natural Capital in the Nordic Countries

Author

Oinonen, Soile, primary, Pohjola, Johanna, additional, Salminen, Jani, additional, Lehtoranta, Virpi, additional, Mattsson, Tuija, additional, Väisänen, Sari, additional, Dodd, Luke, additional, Stefansdottir, Gerdur, additional, Aronsen, Eivind, additional, Carson, Marcus, additional, Nõmmann, Tea, additional, and Nainggolan, Doan, additional

Published
2019
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14. Omkostningseffektiv placering af fosforvirkemidler i forhold til søer:Indarbejdelse af fosfor i TargetEconN_P samt eksempler på resultater

Author

Hasler, Berit, Filippelli, Raphael, Levin, Gregor, Andersen, Hans Estrup, Heckrath, Goswin Johann, Martinsen, Louise, and Nainggolan, Doan

Subjects
Data, Fosfor, Omkostningsminimering, Virkemidler, Integreret model
Abstract

Rapporten præsenterer datagrundlag og funktionalitet i TargetEconN_P-modellen, som er udviklet til omkostningseffektive valg af virkemidler for at opfylde fosfor- og kvælstofindsatskrav for sø- og kystvandoplande i hele Danmark. Rapporten omfatter også eksempler på resultater for scenarier, dels for omkostningseffektiv opfyldelse af fosforindsatskrav, og dels et scenarie hvor sideeffekterne for fosfor opgøres som følge af virkemidler til reduktion af kvælstoftab til kystvandene

Published
2023

21. Cost-effectiveness of NBS in the Urban environment. D2.3 REGREEN

Author

Panduro, Toke, Nainggolan, Doan, Taylor, Timothy, Zandersen, Marianne, Zhang, Yifei, and Wang, Yiwei

Subjects
nature-based solutions (NBS), cost-effectiveness, urban
Abstract

In this deliverable D2.3 in the REGREEN project, we provide an overview of costs for nature areas that can serve as NBS. We provide cost estimates for green and blue spaces in urban and peri‐urban areas. We also provide cost estimates for de‐pavement projects, street trees, green roofs and green walls. We show that these cost estimates can be applied in cost‐effectiveness analysis in three different examples. We furthermore discuss how the cost‐effectiveness analysis can be expanded to account for the potential multiple benefits provided by nature in urban and peri‐urban areas that are in line with the spatial planning policy objectives by local authorities. We argue that a stepwise ranking of policy objectives in a cost‐ effectiveness analysis is a viable approach that will enable policymakers to make an informed choice over competing solutions.

Published
2021
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22. Cost-effectiveness of NBS in the urban environment

Author

Panduro, Toke Emil, Nainggolan, Doan, Taylor, Tim, Zandersen, Marianne, Zhang, Yifei, and Wang, Yiwei

Abstract

In this report, we provide an overview of costs for nature areas that can serve as NBS. We provide cost estimates for green and blue spaces in urban and peri‐urban areas. We also provide cost estimates for de‐pavement projects, street trees, green roofs and green walls. We show that these cost estimates can be applied in cost‐effectiveness analysis in three different examples. We furthermore discuss how the cost‐effectiveness analysis can be expanded to account for the potential multiple benefits provided by nature in urban and peri‐urban areas that are in line with the spatial planning policy objectives by local authorities. We argue that a stepwise ranking of policy objectives in a costeffectiveness analysis is a viable approach that will enable policymakers to make an informed choice over competing solutions.

Published
2021

24. Enhancing Carbon Sequestration in Forests, Agricultural Lands and Wetlands in the Nordic Countries:Technical Measures and Policy Instrumnets

Author

Nainggolan, Doan, Pohjola, Johanna, Martinsen, Louise, Gyldenkærne, Steen, Elofsson, Katarina, and Hasler, Berit

Subjects
Policy instruments, Carbon sequestration, climate mitigation, Economic instruments, Land use and climate change
Abstract

This report presents the findings from a study comparing technical measures and policy instruments for enhancing land-based climate mitigation in three Nordic countries, namely Denmark, Finland and Sweden. The overarching aim of the project is to synthesize existing knowledge concerning how enhanced sequestration and reduced emissions of carbon in forest, agricultural areas and wetlands can contribute to climate policy. The study focuses on the Land Use, Land Use Change, and Forestry (LULUCF) sector, and provides an overview of a selection of measures and policy instruments currently used in the three countries, and assesses whether there is additional potential for increasing the use of these measures. In addition, we identify potential new policy instruments, not yet applied in the Nordic context, which can be relevant to include in future climate mitigation strategies.

Published
2021

27. Arctic freshwaters, ecosystem services and natural capital

Author

Nainggolan, Doan, Carson, Marcus, Mattsson, Tuija, Väisänen, Sari, Dodd, Luke, Nõmmann, Tea, Pohjola, Johanna, Lehtoranta , Virpi, Oinonen, Soile, Oinonen, Soile, Pohjola, Johanna, Salminen, Jani, Lehtoranta, Virpi, Mattsson, Tuija, Väisänen, Sari, Dodd, Luke, Stefansdottir, Gerdur, Aronsen, Eivind, Carson, Marcus, Nõmmann, Tea, and Nainggolan, Doan

Subjects
natural capital, ecosystem acccounting, freshwater, valuation, nordic countries, ecosystem service, water accounting
Published
2019

29. Climate change adaptation in the agriculture sector in Europe

Author

Jacobs, Claire, Berglund, Maria, Dworak, Thomas, Marras, Serena, Mereu, Valentina, Michetti, Melania, Marquardt, Doris, Fussel, Hans-Martin, Kehvola, Hanna-Maija, Vanneuville, Wouter, Picatoste, Jose Ramon, Aardenne, John Van, Christiansen, Trine, Lukewille, Anke, Qoul, Claire, Kazmierczak, Aleksandra, German, Richard, Dore, Chris, Sanchez, Beatriz, Nainggolan, Doan, Gyldenkærne, Steen, and Hasler, Berit

Subjects
Impacts, Climate change, Agriculture, Adaptation, Policies, Greenhouse gas emission
Published
2019

30. Arctic Freshwater Natural Capital in the Nordic Countries

Author

Oinonen, Soile, Pohjola, Johanna, Salminen, Jani, Lehtoranta, Virpi, Mattsson, Tuija, Väisänen, Sari, Dodd, Luke, Stefansdottir, Gerdur, Aronsen, Eivind, Carson, Marcus, Nõmmann, Tea, Nainggolan, Doan, Oinonen, Soile, Pohjola, Johanna, Salminen, Jani, Lehtoranta, Virpi, Mattsson, Tuija, Väisänen, Sari, Dodd, Luke, Stefansdottir, Gerdur, Aronsen, Eivind, Carson, Marcus, Nõmmann, Tea, and Nainggolan, Doan

Abstract

Current indicators of economic growth (e.g., GDP) do not adequately consider sustainability, while environmental indicators alone fail to acknowledge the economic needs of a society. Natural Capital Accounting (NCA) can be the tool that fills the gap separating current economic and environmental indicators. Development of NCA has progressed considerably and is being widely deployed in the Nordic countries, but development and deployment remain uneven. This report provides background on NCA and its associated accounting frameworks, demonstrates the applicability of NCA for sustainably utilizing freshwater resources in the Nordic Arctic and provides recommendations for maximizing the value of environmental accounting as an economic, environmental, and sustainable development tool.

Published
2019
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31. Consumers in a circular economy:Economic analysis of household waste sorting behaviour

Author

Nainggolan, Doan, Brandt Pedersen, Anders, Smed, Sinne, Zemo, Kahsay Haile, Hasler, Berit, Termansen, Mette, Nainggolan, Doan, Brandt Pedersen, Anders, Smed, Sinne, Zemo, Kahsay Haile, Hasler, Berit, and Termansen, Mette

Abstract

The present research provides a quantitative assessment of households' preferences for different waste separation and handling schemes. We employ a choice-experiment based, nation-wide survey across Denmark. The findings support four different types of “waste sorters”; reflecting the heterogeneity in household waste sorting preferences. To illustrate, while one segment responds favourably towards sorting systems with the possibility for local collection points for hazardous waste and for sorting bio-waste, some segments express opposite responses. We found statistically significant relationships between the heterogeneity in household preferences for home waste sorting and households' sociodemographic characteristics, current self-reported time allocation for waste sorting and handling, use of recycling facilities as well as attitudinal factors on personal motivation and social influence. Furthermore, the findings reveal trade-offs between households' waste sorting preferences and the amount of time they have to spend sorting. We estimate a value of time for this pro-environmental activity of between 2.8 and 6.3 EUR per hour. Overall, the present research demonstrates that households express different preferences towards the practical design of waste sorting systems. This needs to be considered in the development of policy initiatives in order to achieve more effective sorting systems through higher rates of compliance from the public at large., The present research provides a quantitative assessment of households' preferences for different waste separation and handling schemes. We employ a choice-experiment based, nation-wide survey across Denmark. The findings support four different types of “waste sorters”; reflecting the heterogeneity in household waste sorting preferences. To illustrate, while one segment responds favourably towards sorting systems with the possibility for local collection points for hazardous waste and for sorting bio-waste, some segments express opposite responses. We found statistically significant relationships between the heterogeneity in household preferences for home waste sorting and households' sociodemographic characteristics, current self-reported time allocation for waste sorting and handling, use of recycling facilities as well as attitudinal factors on personal motivation and social influence. Furthermore, the findings reveal trade-offs between households' waste sorting preferences and the amount of time they have to spend sorting. We estimate a value of time for this pro-environmental activity of between 2.8 and 6.3 EUR per hour. Overall, the present research demonstrates that households express different preferences towards the practical design of waste sorting systems. This needs to be considered in the development of policy initiatives in order to achieve more effective sorting systems through higher rates of compliance from the public at large.

Published
2019

32. Exekutiv sammanfattning

Author

Oinonen, Soile, primary, Pohjola, Johanna, additional, Salminen, Jani, additional, Lehtoranta, Virpi, additional, Mattsson, Tuija, additional, Väisänen, Sari, additional, Dodd, Luke, additional, Stefansdottir, Gerdur, additional, Aronsen, Eivind, additional, Carson, Marcus, additional, Nömmann, Tea, additional, and Nainggolan, Doan, additional

Published
2019
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33. Preface

Author

Oinonen, Soile, primary, Pohjola, Johanna, additional, Salminen, Jani, additional, Lehtoranta, Virpi, additional, Mattsson, Tuija, additional, Väisänen, Sari, additional, Dodd, Luke, additional, Stefansdottir, Gerdur, additional, Aronsen, Eivind, additional, Carson, Marcus, additional, Nömmann, Tea, additional, and Nainggolan, Doan, additional

Published
2019
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34. Abbreviations

Author

Oinonen, Soile, primary, Pohjola, Johanna, additional, Salminen, Jani, additional, Lehtoranta, Virpi, additional, Mattsson, Tuija, additional, Väisänen, Sari, additional, Dodd, Luke, additional, Stefansdottir, Gerdur, additional, Aronsen, Eivind, additional, Carson, Marcus, additional, Nömmann, Tea, additional, and Nainggolan, Doan, additional

Published
2019
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35. References

Author

Oinonen, Soile, primary, Pohjola, Johanna, additional, Salminen, Jani, additional, Lehtoranta, Virpi, additional, Mattsson, Tuija, additional, Väisänen, Sari, additional, Dodd, Luke, additional, Stefansdottir, Gerdur, additional, Aronsen, Eivind, additional, Carson, Marcus, additional, Nömmann, Tea, additional, and Nainggolan, Doan, additional

Published
2019
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38. Spatial modelling of psychosocial benefits of favourite places in Denmark: A tale of two cities

Author

Amegbor, Prince M, Dalgaard, Rikke, Nainggolan, Doan, Jensen, Anne, Sabel, Clive E, Panduro, Toke E, Jensen, Mira SR, Dybdal, Amanda E, and Puig, Marianne

Abstract

Living in urban areas is known to increase the risk of psychosocial disorders, including stress, depression, and anxiety. Existing studies suggest that experiential places, including places of interest or favourite places, can mitigate these negative effects on psychological and physical health often associated with urban living. This study aims to model the spatial patterns of the benefits derived from favourite locations in two cities in Denmark: an urban metropolitan area (the capital city) and a provincial commuter town. Additionally, it examines the influence of individual and household socioeconomic factors on the benefits derived from these favourite places. Employing an online Public Participatory Geographic Information System (PPGIS) approach, data on favourite locations, derived benefits, and socioeconomic characteristics of 1400 respondents were collected. Bayesian modelling with Stochastic Partial Differential Equations under the Integrated Nested Laplace Approximation framework (INLA-SPDE) was utilized to predict the spatial patterns of four types of benefits – restorative, physical activity, socializing, and cultural – associated with enjoying favourite places in the two municipalities. This geostatistical approach allows for the identification of specific locations within the cities with perceived benefits and areas lacking such benefits. The findings provide insights into potential inequalities in the spatial distribution of perceived benefits of favourite places in Copenhagen and Roskilde, thereby informing urban planning policies and programs aimed at addressing these disparities.

Published
2024
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39. Where to implement local biotech innovations? A framework for multi-scale socio-economic and environmental impact assessment of Green Bio-Refineries

Author

Cong, Ronggang, Stefaniak, Irena, Madsen, Bjarne Hartz, Dalgaard, Tommy, Jensen, Jørgen Dejgård, Nainggolan, Doan, Termansen, Mette, Cong, Ronggang, Stefaniak, Irena, Madsen, Bjarne Hartz, Dalgaard, Tommy, Jensen, Jørgen Dejgård, Nainggolan, Doan, and Termansen, Mette

Abstract

Green Bio-Refineries (GBRs) have economic and environmental potentials through changing land use from cereals to grass production and provision of grass-based protein feed for livestock production and other valuable byproducts. However, the potentials are dependent on local conditions of the GBRs, such as land productivity, environmental sensitivity and transport distances for feedstock as well as the regional economy which GBRs are a part of. In this paper, we compare the total (direct, indirect and induced) effects of different location choices of GBRs in Denmark at different (municipal, regional, national) scales − a key step for decisions about development of GBRs from both investors' and authorities' perspectives. We integrate a local life-cycle assessment (LCA), a geographic information system (GIS) analysis and an economic-environmental input-output (EEIO) based model (LINE) into a common framework (GIS-LCA-EEIO). We show that locating GBRs in Western Denmark, where the soils are primarily sandy and livestock densities are high, generates higher socio-economic gains than in Eastern Denmark, where the soils are primarily loamy and the concentrations of livestock are lower. We conclude by sketching out priority areas for developing GBRs and discuss the policy implications of the results within the context of development of a bio-based economy., Green Bio-Refineries (GBRs) have economic and environmental potentials through changing land use from cereals to grass production and provision of grass-based protein feed for livestock production and other valuable byproducts. However, the potentials are dependent on local conditions of the GBRs, such as land productivity, environmental sensitivity and transport distances for feedstock as well as the regional economy which GBRs are a part of. In this paper, we compare the total (direct, indirect and induced) effects of different location choices of GBRs in Denmark at different (municipal, regional, national) scales − a key step for decisions about development of GBRs from both investors' and authorities' perspectives. We integrate a local life-cycle assessment (LCA), a geographic information system (GIS) analysis and an economic-environmental input-output (EEIO) based model (LINE) into a common framework (GIS-LCA-EEIO). We show that locating GBRs in Western Denmark, where the soils are primarily sandy and livestock densities are high, generates higher socio-economic gains than in Eastern Denmark, where the soils are primarily loamy and the concentrations of livestock are lower. We conclude by sketching out priority areas for developing GBRs and discuss the policy implications of the results within the context of development of a bio-based economy.

Published
2017

41. Adaptation in Agriculture

Author

Nainggolan, Doan, Termansen, Mette, Zandersen, Marianne, Markandya, Anil, Galarraga, Ibon, and Sainz de Murieta, Elisa

Subjects
environmental economics, economics aspects, handbook, climate change mitigation
Published
2014

43. Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options

Author

Reed, M S, Podesta, G, Fazey, I, Geeson, N, Hessel, R, Hubacek, Klaus, Nainggolan, Doan, Prell, C, Rickenbach, M G, Ritsema, C, Schwilch, G, Stringer, L C, and Thomas, A D

Subjects
Diffusion, Resilience, Social learning, Stakeholder participation, Transitions management, Ecosystem services, Sustainable livelihoods analysis, Innovation, Adaptive management
Published
2013

44. ÉCLAIRE - Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosytems - second periodic report 01/04/2013 to 30/09/2014

Author

Sutton, Mark, Howard, Clare, Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, Bill, Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark, Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Serina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Patrick, Bueker, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulrike, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmina, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, David, Reis, Stefan, Rinne, Janne, Roberts, Erin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katerina, Sheppard, Lucy, Sovic, Jadranka, Skiba, Ute, Smith, Beth, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellingo, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark, Howard, Clare, Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, Bill, Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark, Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Serina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Patrick, Bueker, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulrike, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmina, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, David, Reis, Stefan, Rinne, Janne, Roberts, Erin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katerina, Sheppard, Lucy, Sovic, Jadranka, Skiba, Ute, Smith, Beth, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellingo, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Published
2015

45. ECLAIRE: Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosystems. Project final report

Author

Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Dave, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Dave, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Wichink, Roy, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Abstract

The central goal of ECLAIRE is to assess how climate change will alter the extent to which air pollutants threaten terrestrial ecosystems. Particular attention has been given to nitrogen compounds, especially nitrogen oxides (NOx) and ammonia (NH3), as well as Biogenic Volatile Organic Compounds (BVOCs) in relation to tropospheric ozone (O3) formation, including their interactions with aerosol components. ECLAIRE has combined a broad program of field and laboratory experimentation and modelling of pollution fluxes and ecosystem impacts, advancing both mechanistic understanding and providing support to European policy makers. The central finding of ECLAIRE is that future climate change is expected to worsen the threat of air pollutants on Europe’s ecosystems. Firstly, climate warming is expected to increase the emissions of many trace gases, such as agricultural NH3, the soil component of NOx emissions and key BVOCs. Experimental data and numerical models show how these effects will tend to increase atmospheric N deposition in future. By contrast, the net effect on tropospheric O3 is less clear. This is because parallel increases in atmospheric CO2 concentrations will offset the temperature-driven increase for some BVOCs, such as isoprene. By contrast, there is currently insufficient evidence to be confident that CO2 will offset anticipated climate increases in monoterpene emissions. Secondly, climate warming is found to be likely to increase the vulnerability of ecosystems towards air pollutant exposure or atmospheric deposition. Such effects may occur as a consequence of combined perturbation, as well as through specific interactions, such as between drought, O3, N and aerosol exposure. These combined effects of climate change are expected to offset part of the benefit of current emissions control policies. Unless decisive mitigation actions are taken, it is anticipated that ongoing climate warming will increase agricultural and other biogenic emissions, posing a c

Published
2015

46. ECLAIRE third periodic report

Author

Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibeke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana Dzaja, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Davie, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, Van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Kruit, Roy Wichink, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, Zubkova, Elena, Sutton, Mark A., Howard, Clare M., Nemitz, Eiko, Arneth, Almut, Simpson, Dave, Mills, Gina, de Vries, Wim, Winiwarter, Wilfried, Amann, Markus, Alonso, Rocio, Ammann, Christof, Bealey, William J., Bermejo, Victoria, Bleeker, Albert, Cescatti, Alessandro, Dentener, Frank, Emberson, Lisa, Evans, Chris, Flechard, Chris, Haas, Edwin, Hettelingh, Jean-Paul, Holland, Mike, Mentel, Thomas, Paoletti, Elena, Posch, Maximilian, Reinds, Gert Jan, Theobald, Mark R., Albert, Kristian, Skjoth, Carsten Ambelas, Andersen, Helle Vibeke, Ashworth, Kirsti, Astrom, Stefan, Azouz, Niramson, Bassin, Seraina, Becher, Agnieszka, Beier, Claus, Briolat, Alan, Broberg, Malin, Bueker, Patrick, Burkhardt, Juergen, Butterbach-Bahl, Klaus, Calvete, Hector, Carozzi, Marco, Cellier, Pierre, Centoni, Federico, Chiesa, Maria, Cieslik, Stainslaw, Clarisse, Lieven, Coheur, Pierre, Coyle, Mhairi, Decuq, Celine, Di Marco, Chiara, Diaz-Pines, Eugenio, Djuricic, Vesna, Doherty, Ruth, Dragosits, Ulli, Drouet, Jean-Louis, Grgicin, Vedrana Dzaja, Egger, Florian, Elvira, Susana, Engardt, Magnuz, Etzold, Sophia, Falk, Richard, Fares, Silvano, Fauvel, Yannick, Finco, Angelo, Flura, Dominque, Fowler, David, Franz, Martina, Frumau, Arnoud, Fumagalli, Ivano, Ganzeveld, Laurens, Gomez, Hector Garcia, Gasche, Rainer, Geels, Camilla, Genermont, Sophie, Gerosa, Giacomo, Fernandez, Ignacio Gonzalez, Gonzalez-Aparicio, Iratxe, Gritsch, Christine, Gruening, Carsten, Hagberg, Daniel, Hakan, Pleijel, Haller, Helmut, Harmens, Harry, Hasler, Berit, Hauglustine, Didier, Hayes, Felicity, Hendriks, Carlijn, Hertel, Ole, Heyes, Chris, Hicks, Kevin, Hoglund-Isaksson, Lena, Horvath, Laszlo, Houborg, Rasmus, Joensuu, Johanna, Jones, Laurence, Karlsson, Per Erik, Klimont, Zbigniew, Komarov, Alexander, Kramer, Koen, Lamaud, Eric, Langford, Ben, Lathiere, Juliette, Leaver, David, Leip, Adrian, Lequy, Emeline, Lindblad, Maria, Loubet, Benjamin, Loretto, Franceso, Maas, Rob, Marzuoli, Riccardo, Massad, Raia Silvia, Maury, Olivier, Medinets, Serge, Mercado, Lina, Messina, Palmira, Migliavacca, Mirco, Mikkelsen, Teis, Herrera, Saul Molina, Monga, Robert, Moring, Andrea, Munzi, Silvana, Nainggolan, Doan, Ngadi, Yasmine, Ogee, Jerome, Olin, Stefan, Oliver, Rebecca, Ots, Riinu, Owen, Susan, Pariyar, Shyam, Pokorska, Olga, Potier, Elise, Priputina, Irina, Rabago, Isaura, Rantala, Pekka, Reay, Davie, Reis, Stefan, Rinne, Janne, Roberts, Elin, Robinson, Emma, Rowe, Edwin, Ruuskanen, Taina, Sanz, Javier, Sanz-Cobena, Alberto, Sawicka, Katarzyna, Schaap, Martijn, Schallart, Simon, Schopp, Wolfgang, Sharps, Katrina, Sheppard, Lucy, Sovic, Jadranka Skevin, Skiba, Ute, Smith, Ben, Tiefenbacher, Alexandra, Tomlinson, Sam, Touvinen, Juha-Pekka, Twigg, Marsailidh, Valino, Fernando, Vallejo, Antonio, Van Damme, Martin, Van Dijk, Netty, Velikova, Violeta, Vellinga, Nico, Vidic, Sonja, Vieno, Massimo, Voylokov, Polina, Vuolo, Maria, Weidinger, Tamas, Kruit, Roy Wichink, Wolff, Veronica, Woolley, Roy, Wu, Cheng, Zaehle, Sonke, Zechmeister-Boltenstern, Sophie, Zuazo, Pablo, and Zubkova, Elena

Abstract

The ÉCLAIRE project (Effects of Climate Change on Air Pollution Impacts and Response Strategies for European Ecosystems) is a four year (2011-2015) project funded by the EU's Seventh Framework Programme for Research and Technological Development (FP7).

Published
2015

48. BASE common case study approach:Deliverable 4.1 (Grant Agreement No.308337)

Author

Paavola, Jouni, Li, Xin, Guan, Dabo, Martinez, Grit, Steljes, Nico, Boteler, Benjamin, Tröltzsch, Jenny, Iglesias, Ana, Iglesias, Pedro, Rytkönen, Anne-Mari, Vackar, David, Harmackova, Zuzana, Lorencova, Eliska, Louckova, Blanka, Breil, Margaretha, Gebhardt, Oliver, Alves, Filipe, Vizinho, André, Campos, Ines, Haasnoot, Marjolijn, Taylor, Timothy, Chiabai, Aline, Markandya, Anil, Pedersen, Anders Branth, Nainggolan, Doan, Nielsen, Helle Ørsted, Jensen, Anne, Weiland, Sabine, Meyer, Volker, Becker, Nina, Heuson, Clemens, Gram, Søren, and Bedsted, Bjørn

Published
2013

49. Adaptation in agriculture and forestry sectors

Author

Pedersen, Anders Branth, Nainggolan, Doan, Nielsen, Helle Ørsted, Louckova, Blanka, Lorencova, Eliska, Weiland, Sabine, Iglesias, Ana, Vizinho, André, and Paavola et al., Jouni

Published
2013

50. Model outputs for each hotspot site to identify the likely environmental, economic and social effects of proposed remediation strategies

Author

Fleskens, Luuk, Irvine, Brian, Kirkby, Mike, and Nainggolan, Doan

Abstract

This report presents the PESERA-DESMICE model results for the study sites where it has been applied. Modelling has been the key strategy adopted in the DESIRE project to scale up results from the field to the regional level. The PESERA model, extended with several process descriptions to account for a variety of degradation types and to enable taking into account the effects of land degradation remediation options, has been calibrated to local study site conditions with local input data and verification results from WB4 trials and secondary sources. It is used to model erosion, biomass, and (for Portuguese sites) a fire severity index under current conditions and under different technologies. The DESMICE model is informed by WB3 WOCAT database records, economic WB4 experimental results, additionally requested data on spatial variability of costs and benefits, and secondary data. It applies spatially-explicit cost-benefit analysis to calculate the financial viability of technologies. After setting up the PESERA-DESMICE modelling system, a series of scenarios were designed to assess land degradation and land (biomass) productivity under different circumstances. A scenario typology including baseline scenarios, technology scenarios, policy scenarios, adoption scenarios and global scenarios was used for this purpose. A total of 65 different scenario simulations were performed for 22 different technologies in 12 study sites. The report first explains how the models were calibrated and how the scenarios were defined. It then presents a cross-site analysis of results and finally presents a series of detailed maps for individual scenarios run for the various study sites. From the model applications, it can be concluded that (simple) technological options exist that can minimize land degradation and increase food production. A major bottleneck for adoption is financial viability. Low (zero) cost agronomic measures and other options that deliver important benefits in the short term are the preferred technologies. Stakeholder evaluation and model output mostly concur on this. There are important design and opportunity cost considerations which influence the analysis. For larger (more expensive) technologies feasibility studies will need to be done on a case by case basis. Models can be used for first approximation. The approach taken includes three key innovations: a) it allowed to incorporate inputs from multiple stakeholders in very different contexts into the modelling process, in order to enhance both the realism and relevance of outputs for policy and practice; b) site-selection modelling is being applied to land degradation mitigation to enable landscape-scale assessments of the most economically optimal way to attain environmental targets; and c) use of Cost-Benefit Analysis to investigate the spatial variability of the profitability of SWC measures, which may have important implications for the adoption of measures across landscapes and their consequent environmental effects.There are however also some shortcomings in the modelling approach. Firstly it appeared to be difficult for study sites to estimate spatial variation in investment costs of technologies and this as identified as a data gap. Secondly, the temporal dimension of changes in productivity is crucial for land users. Biophysical models (e.g. PESERA) should be able to separate immediate and gradual aspects. Ongoing degradation in the without case is not yet implicitly considered. Analysis of robustness to climatic variability and prices is also essential. Finally, factors such as attitude towards conservation and risk are likely to be very important in decision-making and could further limit adoption of technologies.

Published
2012

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