GEE数据集——全球保护价值的地区数据集

具有全球保护价值的地区

自然地图项目提供了一系列全球价值保护图层。这些地图是通过共同优化生物多样性和碳和/或水等国家保护目标绘制的。它们以连续的比例描述了对扩大保护工作具有最大潜在价值的土地面积。前言 – 人工智能教程

注释

此处的 "保护 "不应被理解为指令性的（例如，特别是建立保护区），而是指某一区域具有巨大的生物物理潜力，有助于保护生物多样性、碳和水资产。

使用说明

数据集大致涵盖 2015 年至 2019 年，空间分辨率为 10 千米（数据储存库中也有 50 千米版本）。数据集是从源路径复制过来的，以统一社区目录中的路径和命名约定，并用单下划线删除了所有下划线字符（双下划线__）。文件夹名称也用连字符分隔，如 "生物多样性-碳 "而不是 "生物多样性-碳"。

提供的地图分辨率为 10 公里。地图既可以从空白状态开始（忽略现有保护区），也可以以 2019 年建立的全球保护区网络为基础。
不同的图层可用于获取生物多样性优先事项，或生物多样性、碳和/或水的优先事项。另一个区别是地图是否包含生物群落分层。更多详情请查阅 Jung 等人（2021 年）。
每个图层的等级都针对特定区域，可通过简单的子集提取汇总统计数据。例如要获得生物多样性和碳含量最高的 30% 的土地面积，需要从相应的排名图层中创建一个掩码，将所有低于 30 值的区域包括在内。

波段

Filename Suffix	Description
minshort_speciestargets	Problem formulation where targets were achieved by minimizing a shortfall
repruns10	The number of representatives that were used to create the ranked layer
biome.id	Species distribution was split by biome, creating separate targets for subpopulations
withPA	Fractions of current protected areas (Date: WDPA 2019) were locked in as a baseline and starting budget. Approximately 15% of the globe. Note that not entire grid cells, but fractions were locked in and built upon!
carbon	Carbon was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript)
water	Water was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript)

The layers can be navigated openly through a dedicated Earth engine app (conservation importance).Coarser grained versions at 50km are also available see Zenodo data repository but not uploaded to Google Earth Engine.

这些图层可通过专用的地球引擎应用程序（保护重要性）进行公开导航。50 公里的粗粒度版本也可在 Zenodo 数据库中找到，但未上传到谷歌地球引擎。

Citation¶

- Jung, M., Arnell, A., de Lamo, X. et al. Areas of global importance for conserving terrestrial biodiversity, carbon and water. Nat Ecol Evol 5, 1499–1509 (2021). https://doi.org/10.1038/s41559-021-01528-7- Jung, M., Arnell, A., De Lamo, X., García-Rangelm, S., Lewis, M., Mark, J., Merow, C., Miles, L., Ondo, I., Pironon, S., Ravilious, C., Rivers, M., Schepashenko, D., Tallowin, O., van Soesbergen, A., Govaerts, R., Boyle, B. L., Enquist, B. J., Feng, X., … Visconti, P. (2021). Areas of global importance for conserving terrestrial biodiversity, carbon, and water (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5006332

Earth Engine Snippet¶

// ------------------------ //
// Import the layers
// -- Biodiv --
var biodiv_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_biome_esh10km_repruns10_ranked");
var biodiv_pa_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_biome_withPA_esh10km_repruns10_ranked");
var biodiv = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargets_esh10km_repruns10_ranked");
var biodiv_pa = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity/minshort_speciestargetswithPA_esh10km_repruns10_ranked");
// -- Biodiv Carbon--
var biodivcarbon_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_biome_carbon_esh10km_repruns10_ranked");
var biodivcarbon_pa_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_biome_withPA_carbon_esh10km_repruns10_ranked");
var biodivcarbon = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargets_carbon_esh10km_repruns10_ranked");
var biodivcarbon_pa = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon/minshort_speciestargetswithPA_carbon_esh10km_repruns10_ranked");
// -- Biodiv water--
var biodivwater_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_biome_water_esh10km_repruns10_ranked");
var biodivwater_pa_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_biome_withPA_water_esh10km_repruns10_ranked");
var biodivwater = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargets_water_esh10km_repruns10_ranked");
var biodivwater_pa = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-water/minshort_speciestargetswithPA_water_esh10km_repruns10_ranked");
// -- Biodiv carbonwater--
var biodivcarbonwater_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_biome_carbon_water_esh10km_repruns10_ranked");
var biodivcarbonwater_pa_biome = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_biome_withPA_carbon_water_esh10km_repruns10_ranked");
var biodivcarbonwater = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargets_carbon_water_esh10km_repruns10_ranked");
var biodivcarbonwater_pa = ee.Image("projects/sat-io/open-datasets/naturemap/biodiversity-carbon-water/minshort_speciestargetswithPA_carbon_water_esh10km_repruns10_ranked");
// ------------------------ //// Define SLD style of discrete intervals to apply to the image.
var default_colours = {min: 1, max: 100, palette: ['7a0403','c92903','f56918','fbb938','c9ef34','74fe5d','1be5b5','35abf8','4662d8','30123b']};// Default entries
var what = "Biodiversity, carbon and water";// Visualize
Map.addLayer(biodivcarbon, default_colours, "Biodiversity and Carbon", true);// The layers are area-consistent, thus through subsetting it becomes possible to identify for example
// the 10% of land-areas with the greatest conservation value for biodiversityvar bio30x30 = biodiv.expression("b(0) <= 10");
Map.addLayer(bio30x30.mask(bio30x30.eq(1)), {'palette':['red']}, "Top 10% value for biodiversity only", false);

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/biodiversity-ecosystems-habitat/GLOBAL-CONSERVATION-IMP-BIODIV-CARBON-WATER