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Food and agriculture · Trade, resources and supply chains · Climate and hazards

Reports 中的 Food Nexus

Food-system security and resilience from land and production through supply chains, nutrition and access. This page shows the series it feeds, the evidence behind it and how to contribute.

系列
3
系统
4
方法
10
01In brief

What this area brings to the editions.

Food-system security and resilience from land and production through supply chains, nutrition and access.

02领域

Food Nexus on the map.

交互式地图需要JavaScript;图层列表和来源见下文。

图层 3

生长条件,针对本页

关于本图层
证据
观测(云层造成缺口)
来源
MODIS Terra NDVI(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日;卫星指数;云层造成缺口
构建时的最新内容
2026-10-13
处理结果
约 250 米网格
不确定性
截至所示日期 8 天的卫星绿度指数;是作物和牧草状况的指标,不是产量估算,也不是粮食安全预警。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
关于本图层
证据
模型生成
来源
SMAP Level 4 (NASA NSIDC DAAC)
提供方
NASA NSIDC DAAC
许可协议
NASA 开放数据
年份版本
每日;同化了卫星数据的模型
构建时的最新内容
2026-10-11
处理结果
约 2 公里网格
不确定性
同化了卫星数据的模型。按提供方发布形式呈现的卫星或模型栅格。云层、扫描带间隙和反演误差会造成缺口和噪声;数值为指示值,而非某一地点的实测值。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
关于本图层
证据
观测(持续云层仍会造成缺口)
来源
VIIRS NOAA-20 Level 3,8 天(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
8 天;卫星 8 天合成;持续云层仍会造成缺口
构建时的最新内容
2026-09-14
处理结果
约 1 公里网格
不确定性
截至所示日期的 8 天内地表的卫星皮肤温度,是高温风险暴露指标;不是气温、热指数,也不是高温预警。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
关于本图层
证据
观测
来源
VIIRS NOAA-20 校正反射率(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日;卫星图像
构建时的最新内容
2026-10-14
处理结果
约 250 米网格
不确定性
卫星图像。卫星或模型栅格数据,按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声;数值是指标,而非某地的测量值。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
关于本图层
证据
模型生成(GIBS 发布的最新年份)
来源
MODIS Terra 和 Aqua 土地覆盖(MCD12Q1)(NASA LP DAAC)
提供方
NASA LP DAAC
许可协议
NASA 开放数据
年份版本
每年;卫星分类;GIBS 发布的最新年份
构建时的最新内容
2024-01-01
处理结果
约 500 米网格
不确定性
所示年份的卫星土地覆盖类别,含农田;该分类存在已知误差,并非农场登记册。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
关于本图层
证据
模型生成(GIBS 发布的最新 8 天时段)
来源
MODIS Aqua GPP(MYD17)(NASA LP DAAC)
提供方
NASA LP DAAC
许可协议
NASA 开放数据
年份版本
8 天;卫星驱动模型;GIBS 发布的最新 8 天时段
构建时的最新内容
2026-09-30
处理结果
约 500 米网格
不确定性
所示 8 天期间植物吸收碳量的模型估算;是生长指标,而非收获量或产量。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问

最新可用

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth

正在加载最新的NASA影像。

拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放;悬停可查看指针下的数值;重置可返回该区域。

生长条件,以黑海地区为范围。NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。

数据:NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap 贡献者 · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERT

来源与许可

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
  • SMAP Level 4 soil moisture and snow mass, NASA Global Modeling and Assimilation Office; distributed by the NASA National Snow and Ice Data Center DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
  • VIIRS近实时产品(洪水、地表温度、积雪覆盖、校正反射率),NASA LANCE;影像来自NASA GIBS。颜色依据已发布的色图重绘;在显示处数值按H3单元取平均(已修改)。 NASA 开放数据
  • ASTER GDEM 是 METI 和 NASA 的产品(ASTER Global Digital Elevation Model V003,NASA LP DAAC);影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘;所示之处的数值已平均到 H3 单元中(有修改)。引用格式:NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA 开放数据
  • 使用 Natural Earth 制作。免费矢量和栅格地图数据,见 naturalearthdata.com。 公有领域
  • © OpenStreetMap contributors (ODbL),经由 NASA GIBS 提供(海岸线、边界、道路和地名)。颜色依据已发布的色表重绘;所示之处的数值已平均到 H3 单元中(有修改)。 ODbL
  • Blue Marble,NASA Earth Observatory;影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘;所示之处的数值已平均到 H3 单元中(有修改)。 NASA 开放数据
  • 地球仪和平面地图上的背景信息:海岸线、边界、道路和地名来自 NASA GIBS 参考图层(OpenStreetMap 数据,ODbL,© OpenStreetMap contributors);Blue Marble 影像可作为可选底图;3D 地形和高程读数来自 ASTER GDEM 高程色彩指数(5 m 至 200 m 分级,为便于辨识而作了夸张处理)。边界按已发布的样式绘制,不代表对任何领土的立场。
  • 地球仪:MapLibre GL JS 6.9.1,BSD-3-Clause,© MapLibre贡献者。
  • 实时事件:NASA Earth Observatory Natural Event Tracker(EONET);事件仅供参考,并保留其原始来源链接。
  • 实时:NASA EONET。事件仅供参考,不是主管机构的预警。
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • 河流流量预报,30天及区间(GloFAS,经Open-Meteo):包含经修改的Copernicus Emergency Management Service 2026年信息;非洪水警报。
  • 过去一年的每日气温(ERA5,经由 Open-Meteo):包含经修改的 Copernicus 气候变化服务 2026 年信息。
  • 过去一年的每日气温和日照(NASA POWER):这些数据来自 NASA 兰利研究中心(LaRC)POWER 项目,该项目由 NASA 地球科学/应用科学计划资助。
  • 天气数据来自 Open-Meteo.com (https://open-meteo.com/), 依据 CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 授权。
  • 可选图层(图层列表中有 14 个来源:实时、预报、观测和背景)在开启时会在地图上和此处显示其提供方署名;预报是模型输出,派生指数是估计值。

图层与日期

  • 植被绿度(NDVI),滚动 8 天:MODIS Terra NDVI,NASA LANCE · 2026年10月13日
  • 根区土壤湿度,0 至 100 cm:SMAP Level 4,NASA NSIDC DAAC · 2026年10月11日
  • 地表温度,日间,8 天合成:VIIRS NOAA-20 3 级产品,8 天,NASA LANCE · 2026年9月14日
  • 真彩色:VIIRS NOAA-20 校正反射率,NASA LANCE · 2026年10月13日
  • 土地覆盖类型(IGBP),年度:MODIS Terra 和 Aqua 土地覆盖(MCD12Q1),NASA LP DAAC · 2024
  • 总初级生产力,8 天总量:MODIS Aqua GPP(MYD17),NASA LP DAAC · 2026年9月30日

03In the editions

9 findings of the drafted editions that bear on Food Nexus.

Drawn from the Baseline Edition 2026 drafts through the 系统 this area reads. Each opens at its anchor in its edition, with its numbered sources.

  1. ARE阿拉伯联合酋长国Net greenhouse-gas emissions were 195.2 Mt CO₂e in 2022 including land use, 0.8% below 2019; energy gave 164.1 Mt, industrial processes 29.6 Mt and waste 5.6 Mt, and land use removed 6.6 Mt.REPORTED · COUNTRY-ARE-CLI-001
  2. ARG阿根廷The national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.REPORTED · COUNTRY-ARG-CLI-001
  3. AU非洲联盟The prevalence of undernourishment was 22.3% in 2024, up from 19.3% in 2018; about 288 million people (derived).REPORTED · COUNTRY-AU-FOO-005
  4. AUS澳大利亚Greenhouse-gas emissions excluding land use were 591.5 Mt CO₂e in 2024, against 605.2 Mt in 2019 and 579.5 Mt in 2020.REPORTED · COUNTRY-AUS-CLI-001
  5. BRA巴西Gross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.REPORTED · COUNTRY-BRA-CLI-001
  6. CHE瑞士Greenhouse-gas emissions were 40.1 MtCO₂e in 2024, 27.3% below 1990 and 22.3% below when land use is included; transport emitted 13.4 MtCO₂e and international aviation and maritime a further 5.5 MtCO₂e outside the 2030 target.REPORTED · COUNTRY-CHE-CLI-001
  7. CHN中国The national mean temperature was 10.9 °C in 2025, 1.0 °C above the 1991 to 2020 normal and tied with 2024 as the highest since 1951; hot days averaged 16.5, the most since 1961.REPORTED · COUNTRY-CHN-CLI-001
  8. EU欧洲联盟Net domestic greenhouse-gas emissions were 40% below 1990 in 2024 and 3% below 2023; on the 2030 target basis the cut was 37%.REPORTED · COUNTRY-EU-CLI-001
  9. GS-02全球能源Energy-related CO2 emissions rose about 0.4% in 2025 to a record of more than 38 Gt.REPORTED · SECTOR-ENERGY-GLOBAL-CLI-004
04Evidence path

From Foundry evidence to the series.

The evidence, step by step, from the 系统 this area reads to the series it feeds.

How Food Nexus reaches 报告: what it reads, how it reads it, the sealed cut and the series it feeds.

步骤发生的事项来源
01 What it readsFood Nexus reads NXS-EOP(地球观测与数字孪生) and The Global Risks Index (NXS-GRX): governed sources with their releases, never a value without its source.
02 How it reads themAgricultural, soil and food science and Ecology and biodiversity science turn the evidence into findings, with assumptions and limits stated beside each value.
03 The cut is sealedEach quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt.
04 The series it feedsThe cut feeds Global Sector Risk and Resilience and Country Systems Risk and Resilience, from the Baseline Edition 2026 into the quarterly series.
05 Who decidesDecisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it.

A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Reports 中的 Food Nexus (2026); Food Nexus home (2026).

05系列

The series it feeds, and what backs each.

系列Foundry systems it draws onAcademy disciplinesSeries home
全球部门风险与韧性NXS-GRX one sector’s structure, dependencies and concentration measures
NXS-EOP observed change in the sector’s assets and their surroundings
贸易、供应链与地缘经济
关键基础设施 and lifelines
Global Sector Risk and Resilience series home
国家 系统 Risk and ResilienceNXS-GRX one country’s dependency map and its indicator baselines
NXS-CMD (integrated posture and executive synthesis) the national portfolio of risk reduction work the edition reads against
NXS-EOP exposure and change layers at subnational detail
基于 Nexus 的风险管理(NRM)
灾害 风险
关键基础设施与生命线
Country Systems Risk and Resilience series home
证据简报NXS-GRX the evidence behind one question, with its strength and gaps
NXS-POR(公共、客户和伙伴交付) the public-safe release of a brief and its corrections
NXS-DSS(决策案例与审议) what the evidence settles for the decision in hand
研究、证据与科学政策衔接
风险沟通 and risk literacy
不确定性与决策
Evidence Brief series home
09贡献

Contribute on Food Nexus.

Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.

Contribution composer

Write a contribution the editor can act on.

Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.

Your email opens with the subject and a template already filled in for GW-GCRI.

  • 证据
  • 更正
  • 案例研究
  • Analysis or method
  • 同行评审
  • 转译
  • Profile input

Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.

10开放科学

Open science for Food Nexus.

How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.

Food Nexus’s open record

区域
Food Nexus
Feeds
Global Sector Risk and Resilience, Country Systems Risk and Resilience, Evidence Brief
记录
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
链接
isSupplementTo the edition it informs; isNewVersionOf its earlier version
许可协议
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
账户
None needed to contribute; never a password

Find and follow

Search the open indexes for Food Nexus; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.

Mirrors and harvest

The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.

InvenioRDM metadata for a contribution on Food Nexus, prefilled from this page
{
  "metadata": {
    "resource_type": {
      "id": "dataset"
    },
    "title": "Evidence on Food Nexus for Nexus Reports",
    "publication_date": "YYYY-MM-DD",
    "creators": [
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        "person_or_org": {
          "type": "personal",
          "family_name": "Your family name",
          "given_name": "Your given name",
          "identifiers": [
            {
              "scheme": "orcid",
              "identifier": "0000-0000-0000-0000"
            }
          ]
        },
        "affiliations": [
          {
            "id": "ROR identifier of your organisation"
          }
        ]
      }
    ],
    "description": "What it is, where its record is kept and how it bears on Food Nexus in Nexus Reports.",
    "rights": [
      {
        "id": "cc-by-4.0"
      }
    ],
    "subjects": [
      {
        "subject": "Nexus Reports"
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        "subject": "Food Nexus"
      },
      {
        "subject": "Food and agriculture"
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      {
        "subject": "Trade, resources and supply chains"
      },
      {
        "subject": "Climate and hazards"
      }
    ],
    "related_identifiers": [
      {
        "identifier": "https://therisk.global/nexus-reports/areas/food-nexus/",
        "scheme": "url",
        "relation_type": {
          "id": "issupplementto"
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  "access": {
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  "parent": {
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}
11最新

Releases for this area.

Releases tagged to this area appear here once released.

报告贡献

Send evidence on Food Nexus.

Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) 系统 证据编辑部。您对此主题的了解可以成为下一期的证据、案例或更正,署您的名,若为您本人的作品则以 CC BY 4.0 发布。若发送到错误的编辑部,会被转交,不会被拒绝。

GCRI Systems 证据编辑部Food Nexus全球部门风险与韧性国家系统风险与韧性证据简报
部门特征

The sectors behind Food Nexus.

A reading aid: the sectors the findings run through and how strongly they depend on each other.

选择角点 · 悬停连线6 / 15 项关系

签名

粮食及其合作伙伴

粮食为健康提供营养(0.7),对生物多样性带来土地转换(0.6),对水带来取水和径流(0.3)。

W · E · I · F · H · B

部门
4 共 6
关系
6 共 15
耦合
0.46 占总量份额

当前最强的关系

  • 粮食 → 生物多样性 · 土地转换0.6
  • 水 → 粮食 · 灌溉0.8
  • 水 → 生物多样性 · 生态流量0.6
  • 粮食 → 健康 · 营养0.7
典型城市区域的教学数值,不是任何地点的测量值。耦合是所涉关系强度的总和,以全部十五种关系的占比表示。
Reports · GCRI

Bring what you know to the next edition.

Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.

CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.