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End date: 2021 × End date: 2019 × Start date: 2019 × DDC: 570 × WGL Institute: PIK ×

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Now showing 1 - 9 of 9
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    Ice roads through lake-rich Arctic watersheds : Integrating climate uncertainty and freshwater habitat responses into adaptive management
    (London : Taylor & Francis Group, 2019) Arp, Christopher D.; Whitman, Matthew S.; Jones, Benjamin M.; Nigro, D.A.; Alexeev, Vladimir; Gädeke, Anne; Fritz, Stacey; Daanen, Ronald; Liljedahl, Anna K.; Adams, F.J.; Gaglioti, Benjamin V.; Grosse, Guido; Heim, Kurt C.; Beaver, R.; Cai, Lei; Engram, Melanie; Uher-Koch, Hannah R.
    Vast mosaics of lakes, wetlands, and rivers on the Arctic Coastal Plain give the impression of water surplus. Yet long winters lock freshwater resources in ice, limiting freshwater habitats and water supply for human uses. Increasingly the petroleum industry relies on lakes to build temporary ice roads for winter oil exploration. Permitting water withdrawal for ice roads in Arctic Alaska is dependent on lake depth, ice thickness, and the fish species present. Recent winter warming suggests that more winter water will be available for ice- road construction, yet high interannual variability in ice thickness and summer precipitation complicates habitat impact assessments. To address these concerns, multidisciplinary researchers are working to understand how Arctic freshwater habitats are responding to changes in both climate and water use in northern Alaska. The dynamics of habitat availability and connectivity are being linked to how food webs support fish and waterbirds across diverse freshwater habitats. Moving toward watershed-scale habitat classification coupled with scenario analysis of climate extremes and water withdrawal is increasingly relevant to future resource management decisions in this region. Such progressive refinement in understanding responses to change provides an example of adaptive management focused on ensuring responsible resource development in the Arctic. © 2019, © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC.
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    Design and quality criteria for archetype analysis
    (Wolfville, Nova Scotia : Resilience Alliance, 2019) Eisenack, Klaus; Villamayor-Tomas, Sergio; Epstein, Graham; Kimmich, Christian; Magliocca, Nicholas; Manuel-Navarrete, David; Oberlack, Christoph; Roggero, Matteo; Sietz, Diana
    A key challenge in addressing the global degradation of natural resources and the environment is to effectively transfer successful strategies across heterogeneous contexts. Archetype analysis is a particularly salient approach in this regard that helps researchers to understand and compare patterns of (un)sustainability in heterogeneous cases. Archetype analysis avoids traps of overgeneralization and ideography by identifying reappearing but nonuniversal patterns that hold for well-defined subsets of cases. It can be applied by researchers working in inter-or transdisciplinary settings to study sustainability issues from a broad range of theoretical and methodological standpoints. However, there is still an urgent need for quality standards to guide the design of theoretically rigorous and practically useful archetype analyses. To this end, we propose four quality criteria and corresponding research strategies to address them: (1) specify the domain of validity for each archetype, (2) ensure that archetypes can be combined to characterize single cases, (3) explicitly navigate levels of abstraction, and (4) obtain a fit between attribute configurations, theories, and empirical domains of validity. These criteria are based on a stocktaking of current methodological challenges in archetypes research, including: to demonstrate the validity of the analysis, delineate boundaries of archetypes, and select appropriate attributes to define them. We thus contribute to a better common understanding of the approach and to the improvement of the research design of future archetype analyses. © 2019 by the author(s).
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    Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making
    (Wolfville, Nova Scotia : Resilience Alliance, 2019) Oberlack, Christoph; Sietz, Diana; Bürgi Bonanomi, Elisabeth; de Bremond, Ariane; Dell'Angelo, Jampel; Eisenack, Klaus; Ellis, Erle C.; Epstein, Graham; Giger, Markus; Heinimann, Andreas; Kimmich, Christian; Kok, Marcel TJ; Manuel-Navarrete, David; Messerli, Peter; Meyfroidt, Patrick; Václavík, Tomáš; Villamayor-Tomas, Sergio
    Archetypes are increasingly used as a methodological approach to understand recurrent patterns in variables and processes that shape the sustainability of social-ecological systems. The rapid growth and diversification of archetype analyses has generated variations, inconsistencies, and confusion about the meanings, potential, and limitations of archetypes. Based on a systematic review, a survey, and a workshop series, we provide a consolidated perspective on the core features and diverse meanings of archetype analysis in sustainability research, the motivations behind it, and its policy relevance. We identify three core features of archetype analysis: Recurrent patterns, multiple models, and intermediate abstraction. Two gradients help to apprehend the variety of meanings of archetype analysis that sustainability researchers have developed: (1) understanding archetypes as building blocks or as case typologies and (2) using archetypes for pattern recognition, diagnosis, or scenario development. We demonstrate how archetype analysis has been used to synthesize results from case studies, bridge the gap between global narratives and local realities, foster methodological interplay, and transfer knowledge about sustainability strategies across cases. We also critically examine the potential and limitations of archetype analysis in supporting evidence-based policy making through context-sensitive generalizations with case-level empirical validity. Finally, we identify future priorities, with a view to leveraging the full potential of archetype analysis for supporting sustainable development. © 2019 by the author(s).
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    The concerns of the young protesters are justified: A statement by Scientists for Future concerning the protests for more climate protection
    (München : Oekom Verl., 2019) Hagedorn, Gregor; Loew, Thomas; Seneviratne, Sonia I.; Lucht, Wolfgang; Beck, Marie-Luise; Hesse, Janina; Knutti, Reto; Quaschning, Volker; Schleimer, Jan-Hendrik; Mattauch, Linus; Breyer, Christian; Hübener, Heike; Kirchengast, Gottfried; Chodura, Alice; Clausen, Jens; Creutzig, Felix; Darbi, Marianne; Daub, Claus-Heinrich; Ekardt, Felix; Göpel, Maja; Hardt, Judith N.; Hertin, Julia; Hickler, Thomas; Köhncke, Arnulf; Köster, Stephan; Krohmer, Julia; Kromp-Kolb, Helga; Leinfelder, Reinhold; Mederake, Linda; Neuhaus, Michael; Rahmstorf, Stefan; Schmidt, Christine; Schneider, Christoph; Schneider, Gerhard; Seppelt, Ralf; Spindler, Uli; Springmann, Marco; Staab, Katharina; Stocker, Thomas F.; Steininger, Karl; Hirschhausen, Eckart von; Winter, Susanne; Wittau, Martin; Zens, Josef
    In March 2019, German-speaking scientists and scholars calling themselves Scientists for Future, published a statement in support of the youth protesters in Germany, Austria, and Switzerland (Fridays for Future, Klimastreik/Climate Strike), verifying the scientific evidence that the youth protestors refer to. In this article, they provide the full text of the statement, including the list of supporting facts (in both English and German) as well as an analysis of the results and impacts of the statement. Furthermore, they reflect on the challenges for scientists and scholars who feel a dual responsibility: on the one hand, to remain independent and politically neutral, and, on the other hand, to inform and warn societies of the dangers that lie ahead. © 2019 G. Hagedorn et al.; licensee oekom verlag.This Open Access article is published under the terms of the Creative Commons Attribution License CCBY4.0 (http://creativecommons.org/licenses/by/4.0).
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    Beyond projects: Benefits of research accompanying research: Reflections from the research programme Sustainable Land Management
    (München : Oekom Verl., 2019) Weith, Thomas; Rogga, Sebastian; Zscheischler, Jana; Gaasch, Nadin
    For many actors in science and policy, the additional value of research accompanying research projects remains open. Referring to a recent publication in GAIA that introduces a typology for accompanying research (AR), this article discusses the central issues, content, processes and ongoing challenges in an AR project accompanying the German research programme Sustainable Land Management. The important value of AR can be seen in communication, networking, the reflexive generation of new knowledge and knowledge management based on trust building and competence. AR also exhibits great potential for research on cross-cutting issues in research programmes and has special significance for meta-studies on different research projects taking place under similar funding conditions. However, additional analyses are necessary for a better understanding of the outcomes and impacts of AR and to create wider appreciation and acceptance. © 2019 T. Weith et al.
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    Tree mortality submodels drive simulated long-term forest dynamics: assessing 15 models from the stand to global scale
    (Ithaca, NY : ESA, 2019) Bugmann, Harald; Seidl, Rupert; Hartig, Florian; Bohn, Friedrich; Bruna, Josef; Cailleret, Maxime; Francois, Louis; Heinke, Jens; Henrot, Alexandra-Jane; Hickler, Thomas; Huelsmann, Lisa; Huth, Andreas; Jacquemin, Ingrid; Kollas, Chris; Lasch-Born, Petra; Lexer, Manfred J.; Merganic, Jan; Merganicova, Katarna; Mette, Tobias; Miranda, Brian R.; Nadal-Sala, Daniel; Rammer, Werner; Rammig, Anja; Reineking, Bjoern; Roedig, Edna; Sabate, Santi; Steinkamp, Jorg; Suckow, Felicitas; Vacchiano, Giorgio; Wild, Jan; Xu, Chonggang; Reyer, Christopher P.O.
    Models are pivotal for assessing future forest dynamics under the impacts of changing climate and management practices, incorporating representations of tree growth, mortality, and regeneration. Quantitative studies on the importance of mortality submodels are scarce. We evaluated 15 dynamic vegetation models (DVMs) regarding their sensitivity to different formulations of tree mortality under different degrees of climate change. The set of models comprised eight DVMs at the stand scale, three at the landscape scale, and four typically applied at the continental to global scale. Some incorporate empirically derived mortality models, and others are based on experimental data, whereas still others are based on theoretical reasoning. Each DVM was run with at least two alternative mortality submodels. Model behavior was evaluated against empirical time series data, and then, the models were subjected to different scenarios of climate change. Most DVMs matched empirical data quite well, irrespective of the mortality submodel that was used. However, mortality submodels that performed in a very similar manner against past data often led to sharply different trajectories of forest dynamics under future climate change. Most DVMs featured high sensitivity to the mortality submodel, with deviations of basal area and stem numbers on the order of 10–40% per century under current climate and 20–170% under climate change. The sensitivity of a given DVM to scenarios of climate change, however, was typically lower by a factor of two to three. We conclude that (1) mortality is one of the most uncertain processes when it comes to assessing forest response to climate change, and (2) more data and a better process understanding of tree mortality are needed to improve the robustness of simulated future forest dynamics. Our study highlights that comparing several alternative mortality formulations in DVMs provides valuable insights into the effects of process uncertainties on simulated future forest dynamics. © 2019 The Authors.
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    Available and missing data to model impact of climate change on European forests
    (Amsterdam [u.a.] : Elsevier Science, 2019) Ruiz-Benito, Paloma; Vacchiano, Giorgio; Lines, Emily R.; Reyer, Christopher P.O.; Ratcliffe, Sophia; Morin, Xavier; Hartig, Florian; Mäkelä, Annikki; Yousefpour, Rasoul; Chaves, Jimena E.; Palacios-Orueta, Alicia; Benito-Garzón, Marta; Morales-Molino, Cesar; Camarero, J. Julio; Jump, Alistair S.; Kattge, Jens; Lehtonen, Aleksi; Ibrom, Andreas; Owen, Harry J.F.; Zavala, Miguel A.
    Climate change is expected to cause major changes in forest ecosystems during the 21st century and beyond. To assess forest impacts from climate change, the existing empirical information must be structured, harmonised and assimilated into a form suitable to develop and test state-of-the-art forest and ecosystem models. The combination of empirical data collected at large spatial and long temporal scales with suitable modelling approaches is key to understand forest dynamics under climate change. To facilitate data and model integration, we identified major climate change impacts observed on European forest functioning and summarised the data available for monitoring and predicting such impacts. Our analysis of c. 120 forest-related databases (including information from remote sensing, vegetation inventories, dendroecology, palaeoecology, eddy-flux sites, common garden experiments and genetic techniques) and 50 databases of environmental drivers highlights a substantial degree of data availability and accessibility. However, some critical variables relevant to predicting European forest responses to climate change are only available at relatively short time frames (up to 10-20 years), including intra-specific trait variability, defoliation patterns, tree mortality and recruitment. Moreover, we identified data gaps or lack of data integration particularly in variables related to local adaptation and phenotypic plasticity, dispersal capabilities and physiological responses. Overall, we conclude that forest data availability across Europe is improving, but further efforts are needed to integrate, harmonise and interpret this data (i.e. making data useable for non-experts). Continuation of existing monitoring and networks schemes together with the establishments of new networks to address data gaps is crucial to rigorously predict climate change impacts on European forests. © 2019 The Author(s)
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    Synthesizing plausible futures for biodiversity and ecosystem services in europe and central asia using scenario archetypes
    (Wolfville, Nova Scotia : Resilience Alliance, 2019) Harrison, Paula A.; Harmáčková, Zuzana V.; Karabulut, Armağan Aloe; Brotons, Lluis; Cantele, Matthew; Claudet, Joachim; Dunford, Robert W.; Guisan, Antoine; Holman, Ian P.; Jacobs, Sander; Kok, Kasper; Lobanova, Anastasia; Morán-Ordóñez, Alejandra; Pedde, Simona; Rixen, Christian; Santos-Martín, Fernando; Schlaepfer, Martin A.; Solidoro, Cosimo; Sonrel, Anthony; Hauck, Jennifer
    Scenarios are a useful tool to explore possible futures of social-ecological systems. The number of scenarios has increased dramatically over recent decades, with a large diversity in temporal and spatial scales, purposes, themes, development methods, and content. Scenario archetypes generically describe future developments and can be useful in meaningfully classifying scenarios, structuring and summarizing the overwhelming amount of information, and enabling scientific outputs to more effectively interface with decision-making frameworks. The Intergovernmental Platform for Biodiversity and Ecosystem Services (IPBES) faced this challenge and used scenario archetypes in its assessment of future interactions between nature and society. We describe the use of scenario archetypes in the IPBES Regional Assessment of Europe and Central Asia. Six scenario archetypes for the region are described in terms of their driver assumptions and impacts on nature (including biodiversity) and its contributions to people (including ecosystem services): Business-as-usual, economic optimism, regional competition, regional sustainability, global sustainable development, and inequality. The analysis shows that trade-offs between nature’s contributions to people are projected under different scenario archetypes. However, the means of resolving these trade-offs depend on differing political and societal value judgements within each scenario archetype. Scenarios that include proactive decision making on environmental issues, environmental management approaches that support multifunctionality, and mainstreaming environmental issues across sectors, are generally more successful in mitigating tradeoffs than isolated environmental policies. Furthermore, those scenario archetypes that focus on achieving a balanced supply of nature’s contributions to people and that incorporate a diversity of values are estimated to achieve more policy goals and targets, such as the UN Sustainable Development Goals and the Convention on Biological Diversity Aichi targets. The scenario archetypes approach is shown to be helpful in supporting science-policy dialogue for proactive decision making that anticipates change, mitigates undesirable trade-offs, and fosters societal transformation in pursuit of sustainable development. © 2019 by the author(s).
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    Pyrogenic carbon capture and storage
    (Oxford : Wiley-Blackwell, 2019) Schmidt, Hans-Peter; Anca-Couce, Andrés; Hagemann, Nikolas; Werner, Constanze; Gerten, Dieter; Lucht, Wolfgang; Kammann, Claudia
    The growth of biomass is considered the most efficient method currently available to extract carbon dioxide from the atmosphere. However, biomass carbon is easily degraded by microorganisms releasing it in the form of greenhouse gases back to the atmosphere. If biomass is pyrolyzed, the organic carbon is converted into solid (biochar), liquid (bio-oil), and gaseous (permanent pyrogas) carbonaceous products. During the last decade, biochar has been discussed as a promising option to improve soil fertility and sequester carbon, although the carbon efficiency of the thermal conversion of biomass into biochar is in the range of 30%–50% only. So far, the liquid and gaseous pyrolysis products were mainly considered for combustion, though they can equally be processed into recalcitrant forms suitable for carbon sequestration. In this review, we show that pyrolytic carbon capture and storage (PyCCS) can aspire for carbon sequestration efficiencies of >70%, which is shown to be an important threshold to allow PyCCS to become a relevant negative emission technology. Prolonged residence times of pyrogenic carbon can be generated (a) within the terrestrial biosphere including the agricultural use of biochar; (b) within advanced bio-based materials as long as they are not oxidized (biochar, bio-oil); and (c) within suitable geological deposits (bio-oil and CO 2 from permanent pyrogas oxidation). While pathway (c) would need major carbon taxes or similar governmental incentives to become a realistic option, pathways (a) and (b) create added economic value and could at least partly be implemented without other financial incentives. Pyrolysis technology is already well established, biochar sequestration and bio-oil sequestration in soils, respectively biomaterials, do not present ecological hazards, and global scale-up appears feasible within a time frame of 10–30 years. Thus, PyCCS could evolve into a decisive tool for global carbon governance, serving climate change mitigation and the sustainable development goals simultaneously. © 2018 John Wiley & Sons Ltd