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菌根真菌丰富度的全球热点地区保护不力。

Global hotspots of mycorrhizal fungal richness are poorly protected.

作者信息

Van Nuland Michael E, Averill Colin, Stewart Justin D, Prylutskyi Oleh, Corrales Adriana, van Galen Laura G, Manley Bethan F, Qin Clara, Lauber Thomas, Mikryukov Vladimir, Dulia Olesia, Furci Giuliana, Marín César, Sheldrake Merlin, Weedon James T, Peay Kabir G, Cornwallis Charlie K, Větrovský Tomáš, Kohout Petr, Baldrian Petr, Tedersoo Leho, West Stuart A, Crowther Thomas W, Kiers E Toby, van den Hoogen Johan

机构信息

Society for the Protection of Underground Networks (SPUN), Dover, DE, USA.

Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.

出版信息

Nature. 2025 Jul 23. doi: 10.1038/s41586-025-09277-4.

Abstract

Mycorrhizal fungi are ecosystem engineers that sustain plant life and help regulate Earth's biogeochemical cycles. However, in contrast to plants and animals, the global distribution of mycorrhizal fungal biodiversity is largely unknown, which limits our ability to monitor and protect key underground ecosystems. Here we trained machine-learning algorithms on a global dataset of 25,000 geolocated soil samples comprising >2.8 billion fungal DNA sequences. We predicted arbuscular mycorrhizal and ectomycorrhizal fungal richness and rarity across terrestrial ecosystems. On the basis of these predictions, we generated high-resolution, global-scale maps and identified key reservoirs of highly diverse and endemic mycorrhizal communities. Intersecting protected areas with mycorrhizal hotspots indicated that less than 10% of predicted mycorrhizal richness hotspots currently exist in protected areas. Our results describe a largely hidden component of Earth's underground ecosystems and can help identify conservation priorities, set monitoring benchmarks and create specific restoration plans and land-management strategies.

摘要

菌根真菌是维持植物生命并帮助调节地球生物地球化学循环的生态系统工程师。然而,与植物和动物不同,菌根真菌生物多样性的全球分布在很大程度上尚不清楚,这限制了我们监测和保护关键地下生态系统的能力。在这里,我们基于一个包含超过28亿个真菌DNA序列的25000个地理定位土壤样本的全球数据集训练了机器学习算法。我们预测了陆地生态系统中丛枝菌根真菌和外生菌根真菌的丰富度和稀有度。基于这些预测,我们生成了高分辨率的全球尺度地图,并确定了高度多样化和特有菌根群落的关键储存库。将保护区与菌根热点相交表明,目前保护区中预测的菌根丰富度热点不到10%。我们的结果描述了地球地下生态系统中一个很大程度上隐藏的组成部分,并有助于确定保护重点、设定监测基准以及制定具体的恢复计划和土地管理策略。

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