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  4. Structuring the complexity of integrated landscape approaches into selectable, scalable, and measurable attributes
 

Structuring the complexity of integrated landscape approaches into selectable, scalable, and measurable attributes

URI
https://arbor.bfh.ch/handle/arbor/36665
Version
Published
Date Issued
2023-09-11
Author(s)
Waeber, Patrick Olivier  
Carmenta, Rachel
Estrada Carmona, Natalia
Garcia, Claude  
Falk, Thomas
Fellay, Abigail
Ghazoul, Jaboury
Reed, James
Willemen, Louise
Zhang, Wei
Kleinschroth, Fritz
Type
Article
Language
English
Subjects

Land system science G...

Abstract
Integrated landscape approaches (ILA) aim to reconcile multiple, often competing, interests across agriculture, nature conservation, and other land uses. Recognized ILA design principles provide guidance for implementation, yet application remains challenging, and a strong performance evidence-base is yet to be formed. Through a critical literature review and focus group discussions with practitioners, we identified considerable diversity of ILA in actors, temporal, and spatial scales, inter alia. This diversity hampers learning from and steering ILA because of the intractable nature of the concept. Therefore, we developed a tool—an ‘ILA mixing board’—to structure the complexity of ILA into selectable and scalable attributes in a replicable way to allow planning, diagnosing, and comparing ILA. The ILA mixing board tool presents seven qualifiers, each representing a key attribute of ILA design and performance (for example, project flexibility, inclusiveness of the dialogue, and the centrality of the power distribution). Each qualifier has five (non-normative) outcome indicators that can be registered as present or absent. This process in turn guides planners, evaluators and other participating stakeholders involved in landscape management to diagnose the ILA type, or its performance. We apply the ILA mixing board to three ILA cases in Nicaragua, Madagascar, and the Congo Basin to show some of the many possible configurations of qualifiers on the mixing board. Further application of the tool would allow comparative analysis of the complexity of ILA in a structured and manageable way thereby enhancing the understanding of ILA performance and informing the development of evidence-based land use policy.
DOI
10.24451/arbor.19359
https://doi.org/10.24451/arbor.19359
Publisher DOI
10.1016/j.envsci.2023.06.003
Journal or Serie
Environmental Science & Policy
ISSN
14629011
Publisher URL
https://www.sciencedirect.com/science/article/pii/S1462901123001612?via%3Dihub
Related URL
https://www.sciencedirect.com/journal/environmental-science-and-policy
Organization
Hochschule für Agrar-, Forst- und Lebensmittelwissenschaften  
Volume
147
Publisher
Elsevier
Submitter
WaeberP
Citation apa
Waeber, P. O., Carmenta, R., Estrada Carmona, N., Garcia, C., Falk, T., Fellay, A., Ghazoul, J., Reed, J., Willemen, L., Zhang, W., & Kleinschroth, F. (2023). Structuring the complexity of integrated landscape approaches into selectable, scalable, and measurable attributes. In Environmental Science & Policy (Vol. 147). Elsevier. https://doi.org/10.24451/arbor.19359
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