2026年10月1日

These optical illusions are why butterflies are so hard to catch

Nick Petrić Howe

Who’s the loudest of them all? The bare-throated bellbird vies for the prize

Is exposomics the key to making personalized medicine a reality?

Virginia Gewin

The super El Niño is cooking coral reefs — can lullabies and probiotics save them?

James Dinneen

This award-winning microscopy image used AI — igniting controversy in a prestigious competition

Rachel Fieldhouse

2D semiconductor aims to turbocharge development of high-performance electronics

Yong-Young Noh

Elena, Aris, Marcus: AI-generated ‘ghosts’ are polluting the scientific literature

Jackson Ryan

Tuberculosis treatment has advanced — now we need to stop drug resistance dragging us backwards

Ana Cehovin

Sugar amplifies antibiotic disruption of gut microbes

Andrew T. Chan

How did Earth get its water? Inside the extreme machine seeking answers

James Dinneen

Harmful tau spreads like self-propagating prion proteins

Jose A. Rodriguez

Beware sham scientific societies: the research community must be more vigilant

AI ‘speech clock’ assesses how fast you’re ageing from your voice

Gemma Conroy

The buck stops with me

Mercer Eddy

Secret watermark labels proteins as ‘made by AI’

Elie Dolgin

Using satellite-based products to determine surface soil moisture dynamics

Dariana Isamel Avila-Velasquez

Environmental legal frameworks must consider Earth system dynamics

Julian R. Thompson

Dynamic instability of the Wilkes Subglacial Basin Ice Sheet, East Antarctica

Chen Zhao

Importance, drivers and trends of inland water greenhouse gas emissions

Pierre Regnier

Committed Antarctic Ice Sheet mass loss by the end of the twenty-first century

Chris R. Stokes

Abstract The Antarctic Ice Sheet is the largest source of uncertainty in sea-level rise projections, with uncertainties propagating through emissions scenarios, atmosphere–ocean general circulation models, ice-sheet dynamics and sea-level physics. In ice-sheet model intercomparison exercises, these uncertainties—typically attributed to intermodel differences—stem from modelling choices that may bias ensembles towards commonly adopted approaches regardless of observational consistency. Here we quantify how each individual physical assumption cascades into projection uncertainty using a machine-learning emulation framework, which also enables Bayesian calibration against satellite observations to reduce projection bias. Our results suggest it is very likely (≥0.92 probability) that the Anta…

Preparing for disasters

Count what can be lost at once

Ali Cheshmehzangi

Himalayan hazards to high-mountain hydropower

Oliver Korup

Beyond resilience in a changing Himalaya

Muhammad Sajjad

Restoration-driven positive and negative leakage in sub-Saharan Africa

David P. Edwards

Abstract Habitat restoration is a cornerstone of global climate and biodiversity policy, with over 350 million ha pledged for restoration by 2030, yet it remains unclear how restoration impacts ‘spill over’ beyond implementation areas. Restoration projects could lead to increased tree loss elsewhere (negative leakage; for example, when restoration replaces timber plantations and/or impacts landowner earnings) or reduced tree loss within project areas and surrounding landscapes (positive leakage; for example, if restoration meets timber or fuelwood resource needs or creates restoration-linked employment). Here we assembled a geospatial dataset of 129,982 restoration polygons (~6.8 million ha) across sub-Saharan Africa to evaluate changes in tree loss across space and time. Natural regenera…

Navigating the land–energy nexus for carbon-neutral power systems in China

Da Zhang

Balancing groundwater for crop production and a healthy environment

Iwan Supit

Multiple lines of evidence reveal rapid, seasonal watershed responses to enhanced weathering

James E. Saiers