Why submit to a collection?
Collections like this one help promote high-quality science. They are led by Guest Editors, who are experts in their fields, and In-House Editors and are supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores and provide a one-stop-shop on a cutting-edge topic of interest.
How can I submit my research?
Visit the Collection website for more information on how to submit. Original research papers can be submitted to Scientific Reports, while review papers will be submitted to Scientific Reviews.
Boreal forest biogeochemical cycles
The boreal forest is a major global carbon and nitrogen sink, but climate change and human activity are pushing it toward becoming a carbon source. This Collection invites multidisciplinary research on how boreal forest biogeochemical cycles function and respond to environmental change.
Remote sensing in forestry
Remote sensing plays a vital role in forestry by enabling accurate, large-scale, and continuous forest monitoring. Using satellite imaging and other technologies, it supports forest inventory, mensuration, and management by providing timely data on forest structure, health, and change. As the demand for precise and efficient forest monitoring grows, innovations in remote sensing are becoming essential.
AI-driven atmospheric modelling and Earth system prediction
AI‑driven atmospheric modelling is transforming Earth system prediction by using machine learning, data assimilation and Digital Twin Earth technologies to improve accuracy and handle complex environmental data. This Collection invites research that advances these AI‑enabled modelling approaches to better understand climate change, extreme weather and global environmental dynamics.
Geospatial data science and analysis
Geospatial data science uses satellite imagery, remote sensing and advanced analytics to monitor environmental change and assess climate risks, supporting mitigation, adaptation and sustainable land management. This Collection highlights innovative methods and data‑driven frameworks that advance geospatial intelligence for a rapidly changing planet.
Synthetic biology in the environment
Engineered microbial systems use synthetic biology to sense, transform and remove pollutants, offering scalable solutions for environmental treatment and ecosystem restoration. This Collection welcomes research on synthetic pathways, biosensors, biocontainment and other emerging technologies that advance sustainable, biology‑driven environmental management.
Disaster risk management and resilience
Hazard risk management is essential for reducing the social, economic and environmental impacts of disasters, especially as climate change and human activities increase the frequency and severity of hazardous events. This Collection welcomes research that advances forecasting, remote sensing, land resilience and other strategies for managing natural and man‑made disaster risks.
Short-lived climate pollutants
Short‑lived climate pollutants have powerful warming effects and harm air quality despite their brief atmospheric lifetimes, making them critical targets for both climate and public‑health action. This Collection welcomes research on key SLCPs—such as methane, tropospheric ozone and black carbon—and their combined climate–air quality impacts.