Published in

IOP Publishing, Environmental Research Letters, 9(11), p. 095002, 2016

DOI: 10.1088/1748-9326/11/9/095002

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Investigating potential transferability of place-based research in land system science

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Much of our knowledge about land use and ecosystem services in interrelated social-ecological systems is derived from place-based research. While local and regional case studies provide valuable insights, it is often unclear how relevant this research is beyond the study areas. Drawing generalized conclusions about practical solutions to landmanagement from local observations and formulating hypotheses applicable to other places in the world requires that we identify patterns of land systems that are similar to those represented by the case study. Here, we utilize the previously developed concept of land systemarchetypes to investigate potential transferability of research from twelve regional projects implemented in a large joint research framework that focus on issues of sustainable landmanagement across four continents. For each project,we characterize its project archetype, i.e. the unique land system based on a synthesis of more than 30 datasets of land-use intensity, environmental conditions and socioeconomic indicators.We estimate the transferability potential of project research by calculating the statistical similarity of locations across the world to the project archetype, assuming higher transferability potentials in locations with similar land system characteristics. Results show that areas with high transferability potentials are typically clustered around project sites but for some case studies can be found in regions that are geographically distant, especially when values of considered variables are close to the global mean or where the project archetype is driven by large-scale environmental or socioeconomic conditions. Using specific examples fromthe local case studies, we highlight the merit of our approachand discuss the differences between local realities and information captured in global datasets. The proposed method provides a blueprint for large research programs to assess potential transferability of place-based studies to other geographical areas and to indicate possible gaps in research efforts.