The Case for Space Environmentalism
Nature Astronomy(2022)SCI 1区
Institute for Astronomy | Department of Astronomy DiRAC Vera C. Rubin Observatory | Aerospace Engineering & Engineering Mechanics | Department of Physics and Astronomy | SKA Observatory | Jodrell Bank Observatory | Max-Planck-Institut für Radioastronomie | Campion College and the Department of Physics | Smith College | Center for Astrophysics | European Space Agency
Abstract
The shell bound by the Karman line at a height of ~80–100 km above the Earth’s surface and geosynchronous orbit at ~36,000 km is defined as the orbital space surrounding the Earth. It is within this region, and especially in low Earth orbit, where environmental issues are becoming urgent because of the rapid growth of the anthropogenic space object population, including satellite ‘mega-constellations’. In this Perspective, we summarize the case for considering the orbital space around the Earth as an additional ecosystem, subject to the same care and concerns, and the same broad regulations as the oceans and the atmosphere, for example. We rely on the orbital space environment by looking through it, as well as by working within it. Hence, we should consider damage to professional astronomy, public stargazing, and the cultural importance of the sky, as well as the sustainability of commercial, civic, and military activity in space. Damage to the orbital space environment has problematic features in common with other types of environmental issue. First, the observed and predicted damage is incremental and complex, with many contributors. Second, whether or not space is formally and legally seen as a global commons, the growing commercial exploitation of what may seem to be a ‘free’ resource is in fact externalizing the true costs. Crowded with satellites and debris, the orbital space around the Earth should be formally recognized as an ecosystem—like the ocean and the atmosphere—to ensure sustainable development and protection from irreversible damage.
MoreTranslated text
Key words
Environmental impact,Space physics,Physics,general,Astronomy,Astrophysics and Cosmology
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2001
被引用92 | 浏览
2020
被引用51 | 浏览
2020
被引用40 | 浏览
2021
被引用102 | 浏览
Future Decreases in Thermospheric Neutral Density in Low Earth Orbit Due to Carbon Dioxide Emissions
2021
被引用11 | 浏览
2021
被引用21 | 浏览
2022
被引用33 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest