English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Developing a shared understanding of the specific climate change challenges for a par- ticular sector is a vital precursor to effective, research-based support for adaptation in policy and practice. Without processes for developing such shared understandings, serious comprehension gaps between research, policy and practice communities can arise. A social-learning approach to reducing this comprehension gap is presented, undertaking a cooperative assessment with land management stakeholders of preferences for agro-meteorological metrics and co-developing a framework of cli- mate change indicators. The assessment process deliberated on prospective agro-meteorological metrics for case-study locations in Scotland. The preferences and parameterisation for indicators and their presentation were elicited in group interviews and focus groups. A coherent set of indicators was identified to serve as a framework to support awareness-raising activities and stimulate debate on possible adaptation strategies. While the meteorological summaries were effective in highlighting the nature of the change, the agro-meteorological metrics were more effective in encouraging stake- holders to consider possible impacts on their land-use systems and how they might adapt. The cred- ibility of the indicators and the case study data were enhanced through debate and customisation. The authors recommend including a strong social-learning-based component within any climate change research communication strategy. Communicating the outcomes of research in a credible and relevant way increases the likelihood of stimulating positive adaptive change.

Characterising the agro-meteorological implications of climate change scenarios for land management stakeholders