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Your search keyword '"Pedde, Simona"' showing total 15 results
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15 results on '"Pedde, Simona"'

1. Safe and just Earth system boundaries

Author

Rockström, Johan, Gupta, Joyeeta, Qin, Dahe, Lade, Steven J., Abrams, Jesse F., Andersen, Lauren S., Armstrong McKay, David I., Bai, Xuemei, Bala, Govindasamy, Bunn, Stuart E., Ciobanu, Daniel, DeClerck, Fabrice, Ebi, Kristie, Gifford, Lauren, Gordon, Christopher, Hasan, Syezlin, Kanie, Norichika, Lenton, Timothy M., Loriani, Sina, Liverman, Diana M., Mohamed, Awaz, Nakicenovic, Nebojsa, Obura, David, Ospina, Daniel, Prodani, Klaudia, Rammelt, Crelis, Sakschewski, Boris, Scholtens, Joeri, Stewart-Koster, Ben, Tharammal, Thejna, van Vuuren, Detlef, Verburg, Peter H., Winkelmann, Ricarda, Zimm, Caroline, Bennett, Elena M., Bringezu, Stefan, Broadgate, Wendy, Green, Pamela A., Huang, Lei, Jacobson, Lisa, Ndehedehe, Christopher, Pedde, Simona, Rocha, Juan, Scheffer, Marten, Schulte-Uebbing, Lena, de Vries, Wim, Xiao, Cunde, Xu, Chi, Xu, Xinwu, Zafra-Calvo, Noelia, and Zhang, Xin

Published
2023
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8. Transformative Change Needs Direction

Author

Jacobs, Sander, primary, Santos-Martín, Fernando, additional, Primmer, Eeva, additional, Boeraeve, Fanny, additional, Morán-Ordóñez, Alejandra, additional, Proença, Vânia, additional, Schlaepfer, Martin, additional, Brotons, Lluis, additional, Dunford, Robert, additional, Lavorel, Sandra, additional, Guisan, Antoine, additional, Claudet, Joachim, additional, Harmáčková, Zuzana V., additional, Liekens, Inge, additional, Hauck, Jennifer, additional, Kok, Kasper, additional, Zinngrebe, Yves, additional, Pedde, Simona, additional, Czúcz, Bálint, additional, Solidoro, Cosimo, additional, Cantele, Matthew, additional, Rixen, Christian, additional, Heck, Anna, additional, Desair, Jomme, additional, Plieninger, Tobias, additional, and Harrison, Paula A., additional

Published
2022
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9. Validity and validation in archetype analysis: practical assessment framework and guidelines

Author

Piemontese, Luigi, Neudert, Regina, Oberlack, Christoph, Pedde, Simona, Roggero, Matteo, Buchadas, Ana, Martin, Dominic A, Orozco, Richard, Pellowe, Kara, Segnon, Alcade C, Zarb��, Luc��a, and Sietz, Diana

Subjects
validation, validity, 551 Geologie, Hydrologie, Meteorologie, ComputingMilieux_THECOMPUTINGPROFESSION, Renewable Energy, Sustainability and the Environment, Public Health, Environmental and Occupational Health, sustainability science, Bodemgeografie en Landschap, TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, archetype analysis, social-ecological systems, ddc:551, Soil Geography and Landscape, General Environmental Science
Abstract

Archetype analysis is a promising approach in sustainability science to identify patterns and explain mechanisms shaping the sustainability of social-ecological systems. Although considerable efforts have been devoted to developing quality standards and methodological advances for archetype analysis, archetype validation remains a major challenge. Drawing on the insights from two international workshops on archetype analysis and on broader literature on validity, we propose a framework that identifies and describes six dimensions of validity: conceptual; construct; internal; external; empirical; and application validity. We first discuss the six dimensions in relation to different methodological approaches and purposes of archetype analysis. We then present an operational use of the framework for researchers to assess the validity of archetype analysis and to support sound archetype identification and policy-relevant applications. Finally, we apply our assessment to 18 published archetype analyses, which we use to describe the challenges and insights in validating the different dimensions and suggest ways to holistically improve the validity of identified archetypes. With this, we contribute to more rigorous archetype analyses, helping to develop the potential of the approach for guiding sustainability solutions.

Published
2022

15. Barriers to scaling sustainable land and water management in Uganda: a cross-scale archetype approach.

Author

Piemontese, Luigi, Kamugisha, Rick Nelson, Tukahirwa, Joy Margaret Biteete, Tengberg, Anna, Pedde, Simona, and Jaramillo, Fernando

Subjects
*WATER management, *LAND management, *ARCHETYPES, *AGRICULTURAL intensification, *SUSTAINABLE agriculture
Abstract

In African small-scale agriculture, sustainable land and water management (SLWM) is key to improving food production while coping with climate change. However, the rate of SLWM adoption remains low, suggesting a gap between generalized SLWM advantages for rural development across the literature, and the existence of context-dependent barriers to its effective implementation. Uganda is an example of this paradox: the SLWM adoption rate is low despite favorable ecological conditions for agriculture development and a large rural population. A systemic understanding of the barriers hindering the adoption of SLWM is therefore crucial to developing coherent policy interventions and enabling effective funding strategies. Here, we propose a cross-scale archetype approach to identify and link barriers to SLWM adoption in Uganda. We performed 80 interviews across the country to build cognitive archetypes, harvesting stakeholders' perceptions of different types of barriers. We complemented this bottom-up perspective with a spatial archetype analysis to contextualize these results across different social-ecological regions. We found poverty trap, overpopulation, risk aversion, remoteness, and post-conflict patriarchal systems as cognitive archetypes that synthesize the different dynamics of barriers to SLWM adoption in Uganda. Our results reveal both specific and cross-cutting barriers. Ineffective extension services emerges as a ubiquitous barrier, whereas gender inequality is a priority barrier for large supported farms and farms in drier lowlands in northern Uganda. The combination of cognitive and spatial archetypes proposed here can help to overcome ineffective "one-size-fits-all" solutions and support context-specific policy plans to scale up SLWM, rationing resources to support sustainable intensification of agriculture. [ABSTRACT FROM AUTHOR]

Published
2021
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