Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

The use of spatial data in policy development and review


Published on

These slides, presented by Sarah Darrah from the UN Environment Programme World Conservation Monitoring Centre at the Mainstreaming biodiversity workshop in Sogakope, Ghana, in November 2016, look at how spatial data can be used as a tool to support mainstreaming.

Darrah acknowledges that lack of access to data, and a lack of expertise in using spatial data, can be barriers to using this information for mainstreaming, but where there are existing research and data collection programmes and exchange of information between institutions, then spatial information can be a valuable.

She illustrates this using an example from the Lake Victoria basin, looking at the potential impacts of agricultural development on biodiversity.

More information:

Published in: Environment
  • Be the first to comment

  • Be the first to like this

The use of spatial data in policy development and review

  1. 1. The use of spatial data in policy development and review A tool for biodiversity mainstreaming Sarah Darrah, UNEP-WCMC
  2. 2. Why include spatial data in policies/action plans? • Spatial data and maps provide a strong communication message • Help identify hotspots of threat to determine action and prioritise limited resources • Provide a context to decision-making • Baselines and monitoring to track progress towards targets • Multiple layers of data can be used to compare ‘competing’ demand on land to assess trade-offs and synergies e.g. proposed developments vs areas of high biodiversity importance
  3. 3. How spatial data can be used as a tool to facilitate the mainstreaming process • Most (spatial) data can be used for multiple purposes • Land use planning requires cooperation as well as the sharing of (spatial) data • Changes in land use over time are relevant for monitoring and planning, involving many stakeholders • Solving data availability, costs, exchange, access problems involves many stakeholders • Mainstreaming processes will lead to more efficient data gathering and use
  4. 4. Barriers to use of spatial data • Lack of access to data (e.g. inter-agency data sharing is poor) and data collection (e.g. lack of continuous temporal data/data on certain topics) • Lack of expertise with spatial data (e.g. GIS analysis and interpretation) • Limited infrastructure to conduct spatial data analysis (e.g. data storage and equipment) • Lack of financial resources
  5. 5. Enabling factors for use of spatial data • Good institutional exchange • Existing research and data collection programmes • Existing network and infrastructure for data management
  6. 6. Engaging stakeholders in using future scenarios to analyse the potential impacts of agricultural development in the Lake Victoria Basin Project steps: 1. Develop future scenarios – four scenarios based on modes of governance and regionalisation 2. Map biodiversity, ecosystem function and planned/proposed high impact developments 3. Model biodiversity and ecosystem function under land use change scenarios 4. Use results to inform scenario guided policy review – agriculture sector 5. Harmonise policies in the region and look for transboundary impacts
  7. 7. • Key Biodiversity Areas (KBAs) • Proposed freshwater KBAs • Protected Areas • Population density in cities Areas of biodiversity importance
  8. 8. Land use 2005 (baseline)
  9. 9. Population density (2012)
  10. 10. Mining activity (2015)
  11. 11. Contracted or intended land deals (2015)
  12. 12. Land use 2050 (future)
  13. 13. Differences between scenarios
  14. 14. Development in and around Lake Victoria Basin
  15. 15. Scenario-guided policy review • Five policies reviewed against the modelled scenario results • Uganda – Draft National Water Policy • Tanzania – National Livestock Policy • Burundi – Plan National D’Ivestissement Agricole • Kenya – Ministry of Agriculture, Livestock and Fisheries Strategic Plan • Rwanda – National Food and Nutrition Strategic Plan • Recommendations produced to input into policy revision and development
  16. 16. 1. Is spatial data relevant to your identified entry points? 2. Is it already included? And adequately? Does it include both development and biodiversity data? 3. If not, is it accessible? 4. How can the project help in the provision of biodiversity data/maps? Group discussions