Global area boom for greenhouse cultivation revealed by satellite mapping
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Greenhouse cultivation has been expanding rapidly in recent years, yet little knowledge exists on its global extent and expansion. Using commercial and freely available satellite data combined with artificial intelligence techniques, we present a global assessment of greenhouse cultivation coverage and map 1.3 million hectares of greenhouse infrastructures in 2019, a much larger extent than previously estimated. Our analysis includes both large (61%) and small-scale (39%) greenhouse infrastructures. Examining the temporal development of the 65 largest clusters (>1,500 ha), we show a recent upsurge in greenhouse cultivation in the Global South since the 2000s, including a dramatic increase in China, accounting for 60% of the global coverage. We emphasize the potential of greenhouse infrastructures to enhance food security but raise awareness of the uncertain environmental and social implications that may arise from this expansion. We further highlight the gap in spatio-temporal datasets for supporting future research agendas on this critical topic.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Nature Food |
| Vol/bind | 5 |
| Sider (fra-til) | 513–523 |
| ISSN | 2662-1355 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
X.T. and M.B. acknowledge funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation programme (grant agreement no. 947757 TOFDRY). M.B. also acknowledges the funding from the DFF Sapere Aude grant (no. 9064\u201300049B). X.T. and R.F. acknowledge funding from Villum Fonden through the project Deep Learning and Remote Sensing for Unlocking Global Ecosystem Resource Dynamics (DeReEco, grant no. 34306). F.T. acknowledges funding from the Nation Natural Science Foundation of China (grant no. 42001299) and the Seed Fund Program for Sino-Foreign Joint Scientific Research Platform of Wuhan University (no. WHUZZJJ202205). Additionally, we acknowledge the exceptional remote sensing efforts being conducted in Almeria, Spain and China. We thank Norway\u2019s International Climate and Forest Initiative (NICFI) satellite data Level 2 programme for providing parts of the commercial satellite imagery for the study. We also thank all the developers of global datasets and deep-learning pipelines.
Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.
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