20210823
12390100
1.0
FALSE
arcgis_geodatabase.sde.IIASA_005_NatureMap_Cons10km_minshort_sptargets_BCW
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18030493.505400
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8871247.848100
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Server=10.2.1.241; Service=sde:postgresql:10.2.1.241; Database=arcgis_geodatabase; User=sde; Version=sde.DEFAULT
ArcSDE Connection
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Linear Unit: Meter (1.000000)
Unknown_based_on_WGS84_ellipsoid_Mollweide
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CopyRaster O:\f00_data\IIASA_005_NatureMap_SignificanceForConservation\download_210823\BiodiversityCarbonWater\10km\minshort_speciestargets_carbon__water__esh10km_repruns10_ranked.tif "O:\f01_projects_active\Global\p08425_naturemap\outputs\Sept_2020_outputs_FINAL\Corinna\carbon, biodiversity, water, NatureMap\InternalPortal.sde\arcgis_geodatabase.sde.minshort_speciestargets_carbon__water__esh10km_repruns10_ranked" # # -9999 NONE NONE # NONE NONE "Esri Grid format" NONE CURRENT_SLICE NO_TRANSPOSE
Rename "O:\f01_projects_active\Global\p08425_naturemap\outputs\Sept_2020_outputs_FINAL\Corinna\carbon, biodiversity, water, NatureMap\InternalPortal.sde\arcgis_geodatabase.sde.minshort_speciestargets_carbon__water__esh10km_repruns10_ranked" "O:\f01_projects_active\Global\p08425_naturemap\outputs\Sept_2020_outputs_FINAL\Corinna\carbon, biodiversity, water, NatureMap\InternalPortal.sde\arcgis_geodatabase.sde.IIASA_005_NatureMap_Cons10km_minshort_sptargets_BCW" RasterDataset
DefineProjection "O:\f01_projects_active\Global\p08425_naturemap\outputs\Sept_2020_outputs_FINAL\Corinna\carbon, biodiversity, water, NatureMap\InternalPortal.sde\arcgis_geodatabase.sde.IIASA_005_NatureMap_Cons10km_minshort_sptargets_BCW" PROJCS["World_Mollweide",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mollweide"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],UNIT["Meter",1.0]]
20210823
16295400
20210823
20251500
INSPIRE
150000000
5000
dataset
Martin Jung
IIASA
jung@iiasa.ac.at
Martin Jung
20210823
Enterprise Geodatabase Raster Dataset
https://zenodo.org/record/5006332
Jung, Martin, Andy Arnell, Xavier De Lamo, Shaenandhoa Garcia-Rangel, Matthew Lewis, Jennifer Mark, Cory Merow et al. (2021) "Areas of global importance for terrestrial biodiversity, carbon, and water." Nature Ecology & Evolution
NatureMap Priority maps to Areas of global importance for conserving terrestrial biodiversity, carbon, and water
Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.8.0.29751
NatureMap_Cons10km_minshort_sptargets_BCW
001
20200930
Martin Jung
IIASA
jung@iiasa.ac.at
2020-09-30T00:00:00
1
-179.999989
179.999989
85.917716
-84.691702
A global integrated map ranking the terrestrial land surface by its joint value for biodiversity, carbon and water globally. In this version species distribution were not split by biome and protected areas were not locked in as baseline and starting budget.
<div style='text-align:Left;'><div><div><p><span>The map was created by ranking each ~10km grid cell globally by its potential value in improving a species conservation status and conserving the largest amount of carbon and water possible. This novel global integrated map can provide spatial guidance for identifying which land areas should be managed for conservation to generate the greatest synergies between conserving biodiversity, carbon and water.</span></p></div></div></div>
Jung, M., Arnell, A., de Lamo, X., García-Rangel, S., Lewis, M., Mark, J., Merow, C., Miles, L., et al. (2021). Areas of global importance for conserving terrestrial biodiversity, carbon, and water. Nature Ecology and Evolution DOI: 10.1038/s41559-021-01528-7
carbon
biodiversity
water
NatureMap
conservation management
biodiversity prioritization
carbon
water
Nature Contributions to People
Joint optimization
Nature Map
conservation
planning
area-based conservation targets
carbon, biodiversity, water
global
<div style='text-align:Left;'><div><div><p><span>This work is licensed under a </span><a href='https://creativecommons.org:443/licenses/by/4.0/' style='text-decoration:underline;'><span>Creative Commons</span><span> </span><span>Attribution 4.0 International (CC BY 4.0)</span></a></p></div></div></div>
Martin Jung
IIASA
jung@iiasa.ac.at
Martin Jung
This data repository (https://zenodo.org/record/5006332) contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water.
Usage notes:
Maps are supplied at both 10km and 50km resolution unless specified differently in the manuscript.
All maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets.
The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting.
For example:
To obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers.
For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell.
These are labelled " globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps.
Note: This is one dataset from the set of zip file (one for biodiversity only, biodiversity+carbon, biodiversity +water, biodiversity+carbon+water) you usually always want the files that have the ‘biome.id’ tag. There are also additional variants with the current protected area estate already part of the solution (and thus increasing the priority ranking of the areas considered).
Martin Jung
IIASA
jung@iiasa.ac.at
Martin Jung
This layer is the result of a global joint optimization of valuable biodiversity, carbon storage and water regulation. For this analysis we collated distribution data for over 180000 terrestrial vertebrate and plant species globally. These data were then refined by removing unsuitable areas using information on species' habitat preferences and species' known altitudinal limits or, where unknown, by removing anthropogenically modified land. Given existing biases in taxonomic coverage for plant species, we calculated for the analysis in total 10 representative sets of species, containing approximately 10% of species of each taxonomic group. For carbon we used the combined amount of above-ground and below-ground biomass carbon density and vulnerable soil organic carbon density. For water we took potential water regulation outputs from the WaterWorld model normalized by water basin. We then determined those areas globally that jointly contributed the most to biodiversity, carbon and water conservation if up to 10, 20, … 100% of the Earth were to be protected. Specifically we minimized the shortfall so that the greatest number of species extinctions are prevented and the largest amount of carbon and water conserved as possible. We then solved this problem to a single optimal solution using an Integer Linear Programming (ILP) approach and determined for each 10km grid cell the fraction of land that needs to be protected. Finally, across representative sets all solutions were averaged and then ranked from 0 to 100.
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Priority Rank (ranked by the most (1-10) to least (90-100) important areas to conserve globally)
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