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Germany 2026

ドイツ

Germany enters 2027 having cut its greenhouse-gas emissions to 649 Mt CO₂e in 2024, 3.4% below 2023 and 48% below 1990, while closing its last nuclear reactors in April 2023 and ending its reliance on Russian pipeline gas within a year. Renewables supplied about 54% of gross electricity consumption in 2024.

調査結果
12
each with its status and source
Sectors with findings
4 of 6
Infrastructure not assessed
Risk objects
4
order carries no rank
出典
40
Evidence close 30 September 2026

01 · Readings

Germany in six readings.

Six readings that frame the baseline, and the eight questions this edition answers, each with its status and source.

  • 83.6millionpopulation, end 2024 [6]
  • 649Mt CO₂eemissions, 2024 [1]
  • ≈54%renewable electricity, 2024 [7]
  • 10.9°Cmean temperature, 2024 record [8]
  • ≈54%homes with natural-hazard cover [13]
  • 500khectaresforest damaged, 2018–2021 [20]

02 · Sectors

Six sectors, one hexagon.

Water first, then Energy, Infrastructure, Food, Health and Biodiversity. Each count is the findings of this edition in that sector: coverage of the evidence, never a score. Infrastructure is not assessed: the edition holds no Infrastructure finding and its coupling matrix does not assess it.

  1. WAT水2 findings

    ≈44% Share of water abstraction for energy supply, 2019. 報告値

    Flash floods in small catchments; low Rhine water in dry summers; cooling the largest use.

  2. ENEエネルギー2 findings

    ≈54% Renewable share of gross electricity consumption, 2024. 報告値

    About 54% renewable electricity; nuclear closed 2023; Russian gas replaced.

  3. INFインフラnot assessed

    Rail, roads and bridges destroyed in 2021; inland waterways exposed to low water.

  4. FOO食料0 findings

    ≈13% Share of EU agricultural output, 2024. 報告値

    A major EU producer; yields cut in dry years.

  5. HLT健康1 finding

    ≈4,500 deaths Heat-related deaths, 2022. 報告値

    About 4,500 heat-related deaths in 2022; older people most exposed.

  6. BIO生物多様性2 findings

    >75% Decline in flying-insect biomass, protected areas, 1989–2016. 報告値

    Insect biomass down more than 75%; forests damaged 2018–2021.

Outside the six sectors: Climate forcing 3, Finance 1, Systemic 1.

03 · Hazard exposure

The hazards this edition reads.

The edition’s own risk objects, in its order, each read across driver, exposure, vulnerability, capacity, cascade and horizon. The hexagon marks the sectors the cascade reaches; the domain beside each is an editorial reading of its hazard words.

  • RSK-DEU-CLI-001

    Flash floods in small, steep catchments

    報告値EQL 4

    要因
    stationary storms with extreme rainfall
    曝露
    valley towns in upland regions
    脆弱性
    short warning times; uninsured homes [13]
    能力
    flood forecasting; civil protection; reconstruction funds
    カスケード
    CLI → WAT → INF, HLT, FIN
    ホライズン
    年次

    水システム大気と気象

  • RSK-DEU-WAT-002

    Low water on the Rhine

    報告値EQL 4

    要因
    dry summers; low snowmelt from the Alps
    曝露
    freight, chemical and steel supply chains
    脆弱性
    reliance on one waterway for bulk freight
    能力
    part-loading; rail and road diversion
    カスケード
    WAT → TRD → industry, ENE
    ホライズン
    seasonal

    No domain reading

  • RSK-DEU-CLI-003

    極端な暑さ

    報告値EQL 4

    要因
    heatwaves and tropical nights
    曝露
    older people; dense cities
    脆弱性
    housing without cooling; isolation
    能力
    heat-health warnings; heat action plans
    カスケード
    CLI → HLT · CLI → ENE
    ホライズン
    seasonal

    大気と気象

  • RSK-DEU-BIO-004

    Forest dieback under drought and pests

    報告値EQL 4

    要因
    drought, heat and bark beetles
    曝露
    spruce-dominated forests
    脆弱性
    monocultures planted for cooler climates
    能力
    forest conversion programmes
    カスケード
    CLI → BIO → WAT, carbon
    ホライズン
    5–30 years

    水システム大気と気象

Scenario · SCN-DEU-HDR-01

Hot, dry summer with low Rhine water

Under this scenario, results describe a conditional season under stated assumptions. It is not a forecast, and no intervention described here has been carried out.

4 of 12 findings name a hazard in their text. Show them

  1. 1CLI → WATlow rainfall and snowmelt cut Rhine and Elbe levels
  2. 2WAT → TRDbarges sail part-loaded; freight costs rise
  3. 3TRD → industrychemical and steel plants cut output for lack of inputs
  4. 4CLI → HLTheat deaths among older people rise
  5. 5CLI → BIOforest fires and bark-beetle damage spread
  6. 6WAT → ENEcooling-water limits on thermal plants

04 · Couplings

How the sectors carry risk into each other.

The Germany matrix types the twenty couplings between the five core システム. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.

Coupling matrix, from row to column
起点WATENEFOOHLTBIO
WAT·StrongStrong中程度Strong
ENE中程度·StrongStrong中程度
FOO中程度Weak·StrongStrong
HLTWeakWeak中程度·Weak
BIOStrong中程度Strong中程度·

Water: 4 couplings out, 4 in; Energy: 4 couplings out, 4 in; Food: 4 couplings out, 4 in; Health: 4 couplings out, 4 in; Biodiversity: 4 couplings out, 4 in. Infrastructure is not in the coupling matrix: none of the edition matrices types it, so it carries no value.

Cascade paths, in the edition’s order

  1. CLI → WAT → INF極端な降雨 in small valleys destroys roads, rail and homes報告値
  2. CLI → WAT → TRDlow Rhine water restricts freight and industrial supply報告値
  3. ENE → industry → FINa gas supply shock raises costs across industry and households報告値
  4. CLI → BIO → WATdrought and bark beetles kill forests that regulate water報告値
  5. CLI → HLTheatwaves raise deaths among older people報告値

05 · Findings

Every finding of Germany.

Search, filter by sector, system or status, and sort. The address bar keeps the view, so a filtered list can be shared. Every row opens the finding at its source.

All 12 findings

Findings of Germany
ID版Sector or systemステータスStatement
CLI-001ドイツCLI Climate forcing 報告値Greenhouse-gas emissions were 649 Mt CO₂e in 2024, 3.4% below 2023 and 48% below 1990.
CLI-002ドイツCLI Climate forcing 報告値The 2030 target of 65% below 1990 (about 438 Mt) requires cuts of about 35 Mt a year.
CLI-003ドイツCLI Climate forcing 報告値2024 was the warmest year in the German record, which begins in 1881.
WAT-004ドイツWAT 水 報告値The July 2021 floods killed more than 180 people in Germany, 135 in the Ahr valley, and caused damage of about €40 billion.
FIN-005ドイツFIN 金融 報告値Only about 54% of residential buildings carry natural-hazard insurance.
ENE-006ドイツENE エネルギー 報告値Renewables supplied about 54% of gross electricity consumption in 2024; the last nuclear reactors closed in April 2023.
ENE-007ドイツENE エネルギー 報告値Russian pipeline gas stopped in 2022; supply was secured through storage, new LNG terminals and demand reduction.
HLT-008ドイツHLT 健康 報告値About 4,500 heat-related deaths were estimated in 2022.
WAT-009ドイツWAT 水 報告値Low water on the Rhine in 2018 and 2022 restricted freight shipping and industrial supply.
BIO-010ドイツBIO 生物多様性 報告値Flying-insect biomass declined by more than 75% over 27 years in protected areas.
BIO-011ドイツBIO 生物多様性 報告値About 500,000 hectares of forest were damaged by drought, heat and bark beetles between 2018 and 2021.
SYS-012ドイツSYS システミック Expert inputThe leading compound pathway for 2027 testing is a hot, dry summer in which low Rhine water cuts freight and industrial supply while heat, drought and forest fires load health, forests and power.

06 · Editions and calendar

The desks’ editions for Germany.

The desks’ editions for Germany
デスク版状況識別子
GCRI Systems EvidenceGermany 2026Drafted, in stewardship reviewNR-COUNTRY-DEU-2026-BASELINE-v1.0.0
GRF Public DeliberationPublic Deliberation: Germany 2026準備中
GRA Capital ReadinessCapital Readiness: Germany 2026準備中
Standards ProgressNo edition in the 2026 Baseline cycleNot in this cycle
Academy CapabilityNo edition in the 2026 Baseline cycleNot in this cycle
Index MeasurementMeasurement: Germany 2026準備中

Calendar · 2026 Baseline

  1. 01Call opensset by the editor
  2. 02Contribution closeset by the editor
  3. 03エビデンス締め切り30 September 2026
  4. 04Desk review and releaseset by the editor
  5. 05Collection compilationset by the editor
  6. 06Collection releaseset by the editor
  7. 07訂正after release, as needed

Evidence cut NQ-DEU-2026-Q0-1. Next cycles: Q1 2027, Q2 2027, Q3 2027, Q4 2027; their dates are set by the editor.

07 · Take part

Read it, improve it, cite it.

訂正履歴

Versions and corrections
バージョン日付状況変化通知
NR-COUNTRY-DEU-2026-BASELINE-v1.0.0October 2026DRAFTBaseline Edition 2026, inaugural annual edition,なし
Data gaps3What the repository does not hold yet, and the source proposed for each
Data gaps and proposed sources
ギャップShown here asProposed source
Exposure values per hazard (people, assets, hectares)the edition’s own risk objects, without valuesthe Index country profile once the Index releases values, risksindex.com/deu/
The NHS-1 hazard types and their assignment to this edition’s risk objectsan editorial reading of the hazard wordsthe NHS-1 type assignment through the Registry
Infrastructure in the coupling matrixInfrastructure marked not assessedan Infrastructure row and column in the edition matrix at the next cut
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報告書 is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) システム ・エビデンスデスクに属します。このテーマについてご存じのことは、次の版でエビデンス、事例、訂正となり得ます。ご自身の成果であれば、あなたの名前を付し、CC BY 4.0 で公開します。誤ったデスクに送られた場合も、断られることなく転送されます。

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