Updated on Friday, Feb 27 with last week's publisher data.
Customize

Journals

Nature Climate Change

GPT-4o mini: Non-social science research article

The hard road back from overshoot

Lisa Palmer

Full text
GPT-4o mini: Non-social science research article

Emergence of Antarctic mineral resources in a warming world

Erica M. Lucas, Fred D. Richards, Gabriel Cederberg, Xiyuan Bao, Mark J. Hoggard, Stephen R. J. Tsuji, Konstantin Latychev, Leonard J. S. Tsuji, Jerry X. Mitrovica

Full text
GPT-4o mini: Non-social science research article

A weighting framework to improve the use of emissions scenario ensembles of opportunity

Hamish Beath, Chris Smith, Jarmo S. Kikstra, Mark M. Dekker, Matthew J. Gidden, Joeri Rogelj

Full text
GPT-4o mini: Non-social science research article

Weighting for net zero

John E. T. Bistline

Full text

Emotional responses to state repression predict collective climate action intentions

Sunniva Davies-Rommetveit, Jenny Douch, Peter Gardner, Anna Aretha Sach, Laura Thomas-Walters, Nicole Tausch

Full text
As climate activism has expanded, governments have increasingly repressed disruptive but non-violent protests. Yet evidence remains mixed regarding whether repression inhibits or galvanizes activism. In this study, we examine how anticipated and experienced repression predict intentions to engage in normative (rule-conforming) and non-normative (rule-violating) collective climate action, over and above past activism and core psychological antecedents. Survey data from Extinction Rebellion UK mailing list subscribers ( n = 1,375) showed that experienced repression positively predicted non-normative action intentions and showed a positive indirect predictive effect on non-normative action via reduced fear. Although anticipated repression was not directly associated with either action type, it had positive indirect predictive effects on both action types via anger/outrage and on non-normative action via contempt. Conversely, it also had a negative indirect predictive effect on non-normative action through heightened fear. These findings predominantly reflect a galvanizing effect of repression on disruptive collective climate action among committed activists.

Learning about urban adaptation using similarity-based partnerships

Diana Reckien

Full text

Climate change on television reaches the engaged but misses distant audiences

Imke Hoppe, Felix Dörpmund, Christian Weigel, Alexander Loos, Matthias Garschagen, Thomas Kox, Stephanus Volke, Jens Ekkehart Appell, Irene Neverla

Full text
Television is a widely used medium for climate information worldwide, yet its role in public engagement remains underexplored. Here we examine both the representation of climate change on television and the audience engagement with it. We analysed 23,478 hours of programming across 20 German television channels over 61 days in 2022 and further assessed audience engagement with climate content through a representative survey ( n = 1,445). In the beginning of the polycrisis context of autumn 2022—including war, inflation and energy insecurity—2.2% of broadcast hours addressed climate topics. Climate coverage was concentrated in news formats, reaching mostly to the climate-engaged majority, but remained largely invisible for climate-distant groups who prefer entertainment programmes. In addition, the results reveal unequal gender representation in television programmes and a perceived over-representation of politicians. Taken together, these findings suggest that strengthening inclusive storytelling, diversifying representation and innovating formats may enhance the reach and inclusivity of televised climate communication.

Nature Sustainability

GPT-4o mini: Non-social science research article

Solution-processed electrochromics for synergistic solar and radiative heat management

Wanrong Xie, Yang Deng, Yihan Liu, Yao Zhao, Samuel J. Shin, Kimberly Brown, Yiyao Wang, Nanqi Peng, Morgan Gilbert, Brayden Davis, Aditya Shankar, Prajwal Biradar, Lin Zhang, Anran Zhang, Hannah Weisbecker, Yizhang Wu, Yihang Wang, Siyuan Liu, Jiacheng Tian, Alexander J. M. Miller, Jie Yin, Willie J. Padilla, Wubin Bai

Full text
GPT-4o mini: Non-social science research article

Sustainability going deep for batteries

Full text
GPT-4o mini: Non-social science research article

A water-soluble binder for recyclable lithium-ion batteries

Shuxing Wu, Chuxiong Huang, Wenbin Shen, Xianhao Long, Zhihuan Ye, Juncheng Qiu, Liangxin Xie, Wenbo Zhou, Shanqing Zhang, Xiujuan Wei, Zhan Lin

Full text
GPT-4o mini: Non-social science research article

Multi-zonal anaerobic ammonium oxidation for mainstream municipal wastewater treatment

Qi Zhao, Liang Zhang, Yang Zhao, Jianwei Li, Luyao Wang, Xiyao Li, Yongzhen Peng

Full text
GPT-4o mini: Non-social science research article

Catalytic bromine recycling from waste

Qingming Song, Bofan Cui, Xuehong Yuan, Ya Liu, Jia Li, Zhenming Xu

Full text

One Earth

GPT-4o mini: Non-social science research article

Is the emerging systemic reliance on brownfield expansion a mining “bubble”?

Kathryn Ruth Moore

Full text
GPT-4o mini: Non-social science research article

Interrupting the cascade

Full text
GPT-4o mini: Non-social science research article

Vegetation dynamics offset nearly 30% of precipitation’s impact on runoff and are amplified by aridity

Yongchang Liu, Zhi Li, Yaning Chen, Lei Gao, Lu Zhang, Chris Turnadge, Bin He, Xudong Zhou, Weili Duan, Baofu Li, Gonghuan Fang, Wenjing Huang

Full text
GPT-4o mini: Non-social science research article

Cost-effective expansion of protected areas reduces global zoonotic risk and biodiversity loss

Li Yang, Zhi-Hong Xu, Tao Chen, Yu-Xuan Fan, Colin A. Chapman, Yang Liu, Tien-Ming Lee, Peng-Fei Fan

Full text
GPT-4o mini: Non-social science research article

Aligning development and deployment of compostable plastics for meaningful impact

Sangcheol Moon, Rhys Dickhudt, Casey Smith, Ting Xu, Emiko Zumbro, Corinne D. Scown

Full text
GPT-4o mini: Non-social science research article

Q&A with Tim Lenton: Navigating the new era of tipping points

Tim Lenton

Full text
GPT-4o mini: Non-social science research article

Insight into rapid vegetation dynamics in China’s saltmarshes reveals overlooked coastal soil carbon storage

Guanpu Qi, Jiawei Wei, Haiyang Li, Tiewei Xie, Lanxuan Li, Faming Wang, Qiang He, Simon M. Mudd, Jun Ma

Full text
GPT-4o mini: Non-social science research article

Rigid bioplastics with preserved natural structures offer greater resource efficiency and cost-competitiveness

Marie J. Jones, Jana Lukic, Antoine Astour, Daniel Flórez-Orrego, François Maréchal, Jeremy S. Luterbacher

Full text
GPT-4o mini: Non-social science research article

The Tipping Point

Full text

Agency and values for transformative change

TĂșlio Andrade, Xuemei Bai, Sander van der Linden, Viktoria Spaiser, Ramit Debnath, Sibel Eker, Berta MartĂ­n-LĂłpez, James Patterson, Reinette Biggs, Patricia Balvanera

Full text

Global Environmental Change: Human and Policy Dimensions

GPT-4o mini: Non-social science research article

Safe harbours for the intruders of the sea: Greater abundance of invasive species on artificial structures and management implications

Laura Avila-Turriago, Jasmine B.D. Jaffrés, Michael Sievers, Brigette Wright, Ariane Easton, Louise B. Firth, Antony M. Knights, Niclas Einert, Tom Coughlin, Naomi Forrest, Sven Frijlink, Valeriya Komyakova

Full text

Resource use and resource efficiency in the Asia–Pacific region revisited

James West, Heinz Schandl, Alessio Miatto, Fridolin Krausmann, Marina Fischer-Kowalski, Stephan Lutter

Full text

Bringing fairness also into carbon removal shares of countries is essential for a just transition

Julia Danzer, Gottfried Kirchengast

Full text

npj Urban Sustainability

GPT-4o mini: Non-social science research article

Optimizing urban tree species composition to maximize nature-based solutions

Xinyu Dong, Yanmei Ye, Dan Su, Dagmar Haase, Angela Lausch

Full text

Growing together: how urban green spaces enhance social participation and alleviate loneliness in older adults

Yiyi Chen, Chun Yin, Yuyao Ye

Full text
Urban greenness has been recognized as a potential correlator of loneliness, yet evidence from rapidly urbanizing and aging contexts remains limited. Using a longitudinal panel design based on three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS), this study examined the association between city-level greenness cover ratio and loneliness among Chinese older adults (aged ≄ 60 years, N = 11,718). We assessed social activity participation as a mediator and PM₂.₅ as a moderator. In unadjusted random-effects models, one standard-deviation increase in green cover ratio was associated with a 0.052-unit decrease in loneliness (ÎČ = −0.052; 95% CI: (−0.073, −0.031); P < 0.001). After adjustment for sociodemographic, health, and city-level covariates, the inverse association remained statistically significant (ÎČ ranges from −0.023 to −0.020; all P < 0.05). Mediation analyses suggested that social activity participation contributed only a very small indirect component to the greenness–loneliness association (approximately 2% under lower PM 2.5 conditions), while the indirect pathway becoming weaker and imprecise at higher pollution levels. In subgroup analyses, inverse associations between green cover ratio and loneliness were more consistently observed in some age and health subgroups. These findings provide modest associative evidence that urban vegetation, air quality, and social activity participation are linked with loneliness among older adults.

Deep learning-driven community resilience rating based on intertwined socio-technical systems features

Kai Yin, Bo Li, Ali Mostafavi

Full text

Earth System Governance

Book review

Coralie Boulard, Valeria Zambianchi

Full text

SDGs and living wages: Can global goals steer private sector sustainability?

Elizabeth A. Bennett

Full text

Unpacking adaptation lock-ins: Explaining the persistence of the adaptation gap

Nicolas W. Jager, Meghan Alexander, Lisanne Groen, Dave Huitema, Bernd SiebenhĂŒner, Julie P. King, John Turnpenny, Tim Rayner, Jean HugĂ©, Torsten Grothmann

Full text

Introducing dataset insights

Jean-Frédéric Morin

Full text