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An assessment of relative indicator value trends for Chapter 3 in the Nexus asssessment

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Martin-Jung/IPBES_NexusRelativeScenarioTrends

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The scripts in this folder prepare an exploratory figure for the IPBES NEXUS assessment. Specifically they enable the processing and formatting of relevant scenarios (downloaded in 'raw_data', but not uploaded) and to create (spatial-)temporal visualizations.

Methodology

The aim of the analysis is to highlight projected trends in several key indicators that are linked to the various Nexus elements and their "entrypoints" (e.g. Nature conservation)

  • Data from ISIMIP, BES-SIM and other sources are compiled and downloaded.
  • A spatial map for the year 2050 was extracted from each source as well as the aggregated global estimate per time steps. For the aggregation an arithmetic mean was used.
  • Indicator values are transformed, if not already done, into relative estimates with the baseline year being the year 2015 as starting date.
  • Any indicator with inverse scale (e.g. declining intactness) is inverted for the spatial overlay to emphasize potential linkages.
  • All spatial projections for 2050 were normalized (to a scale of 0-1) and then averaged per Nexus element (Biodiversity, Food, Water, Health, Climate).

Caveats

  • This is not a model comparison exercise and it should be noted that there are substantial differences among the various projections (as for any model).
  • The spatial analysis can only highlight potential interlinkages within the nexus in the future, not actual ones.
  • The data used here are largely from SSP-RCP scenario combinations as used by the IPCC. Alternative scenario pathways and framing (e.g. Nature Future Framework) were not available at the time this figure was created.
  • Scenarios are not necessarily strictly comparable given that not all indicators exist per SSP-RCP combination (although see FigureData.xlsx)
  • For many nexus elements there might not exist yet relevant projected indicators, reflecting a data gap.

Data sources

See FigureData file.

License

CC-BY 4.0

Contact

Martin Jung

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