Trend · rank 181 of 250

Biodiversity & ecosystem loss

Loss of forests, wetlands, fisheries and biological diversity is weakening pollination, water regulation and natural flood protection, reducing the reliability of the natural resources that national economies draw on.

Strategic InfrastructureFood, water & naturenaturefood systemswater

Second pass: Carried forward from the first pass, where it was Biodiversity & nature loss. Held by all three panel models.

Sensitivity and network position

Rank
181of 250
Sensitivity
4.2rank 220
Breadth
0of 20 scenarios High or above
PageRank
27.3rank 164
Eigenvector
0.4
Betweenness
18.8
Links
10trends at Moderate similarity or above
Composite
15.2

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
70
Over a year
−5%Steady
Over three years
−34%
Peak
1565 May 2024
Sources
Bothagreement 0.63
Coverage
20languages · 61 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (20 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English56%78−14%
Spanish13%70−5%
French5%122+13%
Russian5%117+97%
Chinese3%104+18%
Portuguese2%90−27%
Indonesian2%169+88%
Japanese2%121+36%
Hindi2%66−16%
German1%114+5%
Arabic1%78+24%
Italian1%102+51%
Korean1%67−24%
Vietnamese1%105+36%
Persian1%84+22%
Polish1%69−10%
Ukrainian1%78+23%
Dutch1%100+26%
Turkish0%105+23%
Swedish0%72−8%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

Papua New Guinea

Ghana

Zimbabwe

Philippines

Ethiopia

Jamaica

Zambia

Australia

Uganda

Nepal

Singapore

United States

100

46

43

36

30

28

28

21

21

20

20

18

The 12 highest of 61 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English63−13%−16%−52%
EuropeGoogle in 7 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish76−19%+1%−29%
Indo-PacificGoogle in 10 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Indonesian93+4%+3%−17%
South AsiaGoogle in 3 countries + Wikipedia in Hindi58−5%−35%−53%
Gulf and Middle EastGoogle in 1 country + Wikipedia in Persian, Arabic, Turkish53−42%−5%−62%
AfricaGoogle in 4 countries70+22%−15%−53%
Latin America and CaribbeanGoogle in 6 countries + Wikipedia in Spanish, Portuguese68−16%−32%−41%
Russia and EurasiaWikipedia in Russian, Ukrainian109−40%+79%−3%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
ArgentinaGoogle65+22%−44%−65%
AustraliaGoogle92+79%−18%−15%
BrazilGoogle + Wikipedia in Portuguese88−22%−27%+11%
CanadaGoogle41−41%−27%−72%
FranceGoogle + Wikipedia in French89−13%+1%−12%
GermanyGoogle + Wikipedia in German87−18%−12%−0%
IndiaGoogle + Wikipedia in Hindi59+1%−36%−51%
IndonesiaGoogle + Wikipedia in Indonesian117+20%+30%+37%
ItalyGoogle + Wikipedia in Italian84−7%+58%−26%
JapanGoogle + Wikipedia in Japanese86+6%+5%−11%
South KoreaGoogle + Wikipedia in Korean76−37%−7%−30%
MexicoGoogle32−38%−46%−79%
RussiaWikipedia in Russian118−41%+97%+4%
South AfricaGoogle68+0%−38%−51%
TürkiyeWikipedia in Turkish105−15%+23%+2%
United KingdomGoogle41−45%−41%−67%
United StatesGoogle + Wikipedia in English65−10%−15%−51%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
2 · LowTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
2 · LowA major disaster disables the national economic core S07Energy, climate and resources
1 · Very lowA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedCritical trade divides into rival blocs S01Economic and trade
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
4 · HighDams, reservoirs & flood defenceEnergy, networks & climate resilience137
4 · HighClimate change & physical riskEnergy, networks & climate resilience138
4 · HighAgricultural soil degradationFood, water & nature148
3 · ModerateWater treatment & desalinationEnergy, networks & climate resilience89
3 · ModerateFood storage & cold chainsFood, water & nature110
3 · ModerateAgricultural technologyFood, water & nature171
3 · ModerateFreshwater stress & transboundary waterFood, water & nature187
3 · ModerateFood loss & wasteFood, water & nature191
3 · ModerateEarly-warning coverageEnergy, networks & climate resilience204
3 · ModerateAquaculture intensificationFood, water & nature242