Big Earth Data infrastructure must further condense and abstract common workloads and application models with consideration for the features of Big Earth Data and the typical needs of SDG-related applications.Systems should be designed and built based on benchmarks, with integration and scheduling of services and resources as a central focus (e.g., high-performance, high-throughput, intelligent computing and cloud services). Focusing on transparent data access and efficient data circulation will help integrate software and hardware for increased performance, capacity, and flexibility.

With climate models predicting a decrease in soil moisture conditions in many regions in the future, it is crucial for soil ecology to comprehend how springtails respond to soil condition changes. A study by Wang et al., 2022 investigating the effects of soil moisture on the euedaphic springtail, Folsomia candida, found that reproduction was the most sensitive to soil water potential, suggesting that population recruitment is limited to periods of high soil moisture, while body growth and activities may continue in moderately dry soil, contributing to species resilience during drought.

Calculated emissions reductions possible through ecosystem restoration and shows they are insufficient to rely upon.

Supports SDG 15 by providing a methood to preserve wheat species for reintroduction if necessary.

This paper highlights the value of combining passive acoustic monitoring (PAM) recordings with machine-learning analysis for ecological monitoring and demonstrates the potential of PAM to monitor reef restoration.

Discusses how plant diversity may enhance carbon retention in soils as well as better ecosystem functions and crop yields.