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New method to help project demographic changes in Scotland’s sparsely populated areas

ā€œImproving knowledge of these factors could help to design targeted place-based policies to support population levels, which could include ā€˜repopulation initiatives’ and improvements to the housing supply, infrastructure and services to improve economic links and lower barriers to migration.ā€ Social scientists at the James Hutton Institute have developed a novel method to estimate future demographic change in Scotland’s sparsely populated areas, by considering geographical differences in employment structures and regional economic linkages, among other factors, to produce estimates of future

Innovative use of machine learning to forecast crop disease risk

ā€œThere is added value in combining the algorithms in an ensemble to provide a more accurate and robust forecasting tool that can be tailored to produce region-specific alerts. The techniques used can easily be applied to outbreak data from other crop diseases to derive tools to help farmers and land managers make the best decisions.ā€ Crop diseases can generate destructive outbreaks that have the potential to threaten global food security, which is why it is fundamental to have reliable data promptly available from disease surveillance programs and outbreak investigations. In many cases

MOVING: spotlight on value chains of mountains in Europe and beyond

ā€œWe are delighted to be sharing the expertise and innovation illustrated by Scottish mountain value chains with our EU partners, and learning together how we can ensure a green recovery that addresses the climate and biodiversity crises, ā€˜leaving no-one behind’.ā€ Mountains cover 22% of the world's land surface and are home to about 915 million people. In Europe, mountain ranges cover 36% of the European area and play an essential role in the provision of public and private goods. Despite their relevance in both ecological and socioeconomic terms, mountains are still considered as ā€˜the

Recommendations for landscape-level adaptive management for ecological, economic, and social outcomes

Improving the management of Scotland’s natural assets at a landscape-level for ecological, economic, and social outcomes is a priority for the Scottish Government and its partners. Adaptive management is one way to achieve this objective and is about connecting the ā€˜doing’ of natural resource management with ā€˜learning’ about the context of the management situation, and the responses and effects of the management actions. We provide a series of lessons learned from five studies that cover a range of landscape-level management situations, including upland and lowland areas. These vary from

Interdisciplinary collaboration leads to new early sheep scab test

ā€œThis is a prime example how interdisciplinary research which straddles animal health, immunology, and biotechnology can be harnessed to solve real-life issues. It is a testament to the strength of the collaboration between institutes.ā€ A new diagnostic technique has been developed by Scottish scientists to help in the early detection of sheep scab, marking a significant development towards improved monitoring and control of the parasite. This was made possible through an exciting interdisciplinary collaboration looking at new methods of protein expression and production. More information from

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  • Biomathematics and Statistics Scotland
  • The James Hutton Institute
  • The Moredun Group
  • The Rowett Institute
  • The Royal Botanic Garden Edinburgh
  • Scotland's Rural College (SRUC)
The Scottish Government 

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