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A Biodiversity Indicators Dashboard: Addressing Challenges to Monitoring Progress towards the Aichi Biodiversity Targets Using Disaggregated Global Data
PLOS ONE

The Dashboard tracks four indicators of biodiversity: deforestation, the state of Red List species, protection of Key Biodiversity Areas, and the supply of fresh water for human use.In response to mounting threats to the diversity of all life on earth, the world's governments committed in 2010 to the Convention on Biological Diversity's Aichi Targets for halting the loss of biodiversity. As with all conservation programs, the Aichi Targets require close monitoring in order to gauge progress toward specific goals. However, policy-makers, managers, and scientists too often lack access to information on biodiversity trends that is comprehensive, easily understood, and defined at appropriate spatial scales.

To begin to address this need, NatureServe has created a Biodiversity Indicators Dashboard that enables users to track four indicators of biodiversity and conservation performance data in a clear, user-friendly format. The four indicators measure:

  1. Pressure on biodiversity (deforestation rate)
  2. State of species (the IUCN Red List Index)
  3. Conservation response (Key Biodiversity Areas)
  4. Benefits to human populations (freshwater provision)

With maps and graphics, the Dashboard analyzes three regions—the tropical Andes, the Great Lakes of Africa, and the Mekong River Valley—and their component countries. These visualizations include charts that show regional and national trends in biodiversity. This new tool helps track progress toward the Aichi Targets, supports national monitoring and reporting, and informs outcome-based policy-making that protects natural resources.

Click here to explore our web-enabled, interactive Biodiversity Indicators Dashboard.

Citation
Han X, Smyth RL, Young BE, Brooks TM, Sánchez de Lozada A, et al. (2014) A Biodiversity Indicators Dashboard: Addressing Challenges to Monitoring Progress towards the Aichi Biodiversity Targets Using Disaggregated Global Data. PLoS ONE 9(11): e112046. doi:10.1371/journal.pone.0112046