contact:
  email: datahub@naturalcapitalproject.org
  organization: SPRING, Oakland, CA USA
  individual_name: Becky Chaplin-Kramer
  position_name: ''
license:
  path: https://creativecommons.org/licenses/by/4.0
  title: CC BY 4.0
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last_modified: 2025-11-04 20:44:02 UTC
citation: Chaplin-Kramer, R., Neugarten, R.A., Sharp, R.P. et al. Mapping the planet's
  critical natural assets. Nat Ecol Evol 7, 51- 61 (2023). https://doi.org/10.1038/s41559-022-01934-5
description: Local Critical Natural Assets (12 NCP without global climate NCP) together,
  optimized by country, at 90% of total NCP value optimized. The 12 local NCP are
  optimized for each country.
doi: ''
edition: ''
keywords: []
lineage: "Using integer linear programming (prioritizr, Supplementary Note 1 Section
  22), we identify minimum areas required (1) within each country's land borders and
  marine EEZs for the local NCP and (2) within all global land area (excluding Antarctica)
  and all countries' combined EEZ area for the global NCP, to reach target levels
  (ranging from 5% to 100%) of every NCP. Before optimization the data were re-sampled
  to a 2-km equal-area projection for consistency (Supplementary Note 1 Section 24).
  The optimization selects for the highest values across all NCP, providing the most
  benefit and/or to the greatest number of people, but not accounting for complementarity
  or redundancies of adjacent pixels (that is, not dynamically optimizing after each
  pixel's selection). The 12 local NCP are optimized for each country, then aggregated
  globally, while the two global NCP are optimized globally. In addition to these
  two main optimizations, we assess the sensitivity to scale by optimizing the 12
  local NCP globally (instead of by each country; Extended Data Fig. 5), both with
  and without the two global NCP, and by substituting different scales of beneficiaries
  mapping for people downstream and for access to nature (Supplementary Table 6).
  We also assess the sensitivity of the area and location of critical natural assets
  (the optimization solution for the 90% target) to different NCP combinations. These
  variations include optimizing for each NCP individually, and optimizing for all
  NCP but dropping each local NCP from the set of 12 to evaluate its effect on the
  overall optimization (Supplementary Table 6). For access to all optimized layers,
  visit the solutions section at the following link: https://osf.io/r5xz7/overview"
placenames:
- GLOBAL
purpose: ''
title: Local Critical Natural Assets, Optimized by Country
url: https://storage.googleapis.com/natcap-data-cache/collaborator-data/CNA-neugarten-chaplin-kramer/cna-ncp-optimized_layers/cna_country_optimized_90_local_ncp.tif
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