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Extensive measurements of the emissions of methane, nitrous oxide and ammonia from wastewater treatment facilities in the USA present higher values than are currently stated in national inventories. The results of this analysis show that greenhouse gas and nitrogenous emissions from the wastewater sector are often overlooked and that their impact on climate should be reassessed.

This paper finds that on average lower-income groups encounter reduced accessibility to public EV infrastructure in urban and rural areas. Black households have less rural accessibility, but greater urban accessibility compared to White households.

This long-term study in rural Rwanda finds that nearly half of the households in grid-covered communities remain unconnected after electrification, suggesting the need to reconsider the economic case for grid investments in rural areas.

The effects of current protected areas on freshwater biodiversity are poorly understood. Here, the authors show that European protected areas have overall limited influence on changes in river biodiversity, underscoring the urgent need for improved effectiveness.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

“Dissolved oxygen (DO) sustains river ecosystems, but the effects of hydrological extremes remain poorly understood. Here it is shown that sudden floods cause abrupt declines in DO, suggesting that increased future flooding may lead to the degradation of aquatic ecosystems.

Decentralized natural resource governance is thought to aid conservation and reduce poverty, but its heterogeneous local effects are under-explored. A study in Nepal shows that forest governance decentralization reduces poverty but the benefits are greater for dominant ethnic and caste groups compared with minority ones.

Fine scale mobile phone data is improving capacity to understand seasonal patterns in human movement. Here, the authors use multi-year movement data across three nations, as well as a model of pathogen spread, to understand the consequences of seasonal travel for disease dynamics.

This Perspective proposes a new framework to support the inclusion of Black, Indigenous and people of colour in conservation initiatives.

Improvements in European freshwater biodiversity occurred mainly before 2010 but have since plateaued, and communities downstream of dams, urban areas and cropland were less likely to experience recovery.

Zika and dengue incidence in the Americas declined in 2017–2018, but dengue resurged in 2019 in Brazil. This study uses epidemiological, climatological and genomic data to show that the decline of dengue may be explained by protective immunity from pre-exposure to ZIKV and/or DENV in prior years.

Over half the world’s rivers dry periodically, yet little is known about the biological communities in dry riverbeds. This study examines biodiversity across 84 non-perennial rivers in 19 countries using DNA metabarcoding. It finds that nutrient availability, climate and biotic interactions influence the biodiversity of these dry environments.

Here, authors introduce SINDy-RL, a framework that combines sparse system identification with reinforcement learning to yield efficient, interpretable, and high-performing control policies.

A study reveals how land-use change and climate interact to drive the spillover of a zoonotic virus, and identifies an ecological mechanism that prevents spillover.

Nonlinear climate and land-use interactions drive historical and future heatwave intensification across Africa, especially in Western South Africa, based on multivariate bias-correction and explainable AI applied to CMIP6 future projections.

Dengue is a major public health concern in the Americas, and the Caribbean can be a source for reintroduction and spread. Here, the authors use travel surveillance data and genomic epidemiology to reconstruct Dengue epidemic dynamics in the Caribbean from 2009-2022.

In wildlife tagging, stress from capture and handling can alter post- release behavior and potentially study interpretations. This study of 42 mammal species shows that these effects diminish within 4–7 days, and quicker for animals in high human activity areas indicating adaptation to disturbance.

The origin and dispersal of the chicken across Eurasia is unclear. Here, the authors examine eggshell fragments from southern Central Asia with paleoproteomics to identify chicken eggshells, suggesting that chickens may have been an important dietary component as early as 400BCE.

The authors examine the impact of monthly unconditional cash transfers starting at childbirth on families with low incomes. Transfers had minimal effects on family processes and maternal wellbeing, but improved family incomes and time mothers spent doing enriching activities with their child.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

The risk of epidemics originating from wild animals demands close monitoring of emerging infectious disease (EID) events and their predictors. Here, the authors update a global database of EID events, analyze their environmental and biological correlates, and present a new global hotspot map of zoonotic EID risk.

Analysis of plastic debris found in surface waters shows that lakes and reservoirs in densely populated and urbanized regions, as well as those with elevated deposition areas, are particularly vulnerable to plastic contamination.

Accurate modelling of the temporal and spatial impacts of weather on building energy demand is key to the decarbonization of energy systems. Now, Staffell et al. develop an openly available model for calculating hourly heating and cooling demand on a global scale.

Arthropod-borne viruses have a substantial impact on global health, with climate change and urbanization exacerbating their emergence. Integrating genomic surveillance and phylogenetic models with ecological and epidemiological data enhances our understanding of virus transmission dynamics, aiding in effective detection and the response to disease outbreaks affecting humans and animals.

A brief period of warming 55.9 Myr ago has been attributed to the release of massive amounts of carbon. Geochemical and model data suggest the peak rate of carbon emission during this interval was relatively slow, and significantly lower than present-day levels of carbon emissions to the atmosphere.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Here, the authors produce an updated termite classification with genomic scale analyses, highlighting thirteen family-level lineages and resilience of their classification to future termite research.

Effective flood response management relies on rapid high-resolution and high-accuracy flood inundation predictions. This study develops a low-fidelity model and upskills its predictions, greatly reducing the computational time while maintaining a high resolution and accuracy comparable with a high-fidelity model.

Power outages have a statistically significant and negative impact on electric vehicle adoption. A doubling of power outages in one year in China can create a decline of more than $ 31.3 million per year in carbon reduction benefits.

Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.

Multiple climate-related coastal hazards could impact people, infrastructure and ecosystems, yet previous works often focused on flooding only. By analysing the future exposure to four types of hazard along the US Southeast Atlantic coast, this research emphasizes the risks beyond flooding.

Frequent dispersal and short-lived local transmission clusters fuelled the 2013–2016 Ebola virus epidemic in Guinea, Liberia and Sierra Leone.

Advancements in satellite imagery and machine learning can be used to infer the causal impact of electricity access on livelihoods, providing a low-cost, generalizable approach to evaluating public policy in data-spare environments.

Classical epidemiological approaches have been limited in their ability to formally test hypotheses. Here, Dellicour et al. illustrate how phylodynamic and phylogeographic analyses can be leveraged for hypothesis testing in molecular epidemiology using West Nile virus in North America as an example.

An estimated AU$583 billion per year cost of in situ recovery of terrestrial and freshwater species in Australia, including through habitat restoration and retention and management of invasive species, is not an expected conservation budget, but exemplifies the severe cost of nature declines.

In this study, Yang et al. compile a global dataset to uncover the degree to which plants coordinate root and seed traits. They report a global positive correlation between root diameter and seed size, driven by dual roles of arbuscular mycorrhiza in phosphorus uptake and pathogen defence.

Whether or not marine protected areas (MPAs) deliver positive outcomes for both people and nature remains a challenging question. Using a statistical matching approach, this study provides quantitative evidence of co-benefits for fish and people associated with MPAs in the Mesoamerican region.

It is unclear whether the emergence of new infectious diseases can be predicted. Here, Anthony et al. investigate viral communities in faeces of wild macaques and show that viral diversity is inherently structured, suggesting that it should be possible to forecast some changes in viral communities.

Hydrologic data collected from river gauges inform critical decisions for allocating water resources, conserving ecosystems and predicting the occurrence of droughts and floods. The current global river gauge network is biased towards large, perennial rivers, and strategic adaptations are needed to capture the full scope of rivers on Earth.