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Performance of Statistical and Machine Learning-Based Methods for Predicting Biogeographical Patterns of Fungal Productivity in Forest Ecosystems

机译：基于统计和机器学习方法的性能预测森林生态系统真菌生产力的生物地理学模式

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Albert Morera; Juan Martínez de Aragón; José Antonio Bonet; Jingjing Liang; Sergio de-Miguel;
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1. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 中国林学（英文版） . 2021,第002期
2. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 森林生态系统：英文版 . 2021,第002期

机译：Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems
3. Contrasting Soil Bacterial and Fungal Communities between the Swamp and Upland in the Boreal Forest and their Biogeographic Distribution Patterns [J] . Li Jing, Hu Hang-Wei, Cai Zhang-Jie, Wetlands . 2019,第3期

机译：北方森林沼泽与旱地土壤细菌和真菌群落的差异及其生物地理分布格局
4. Assessing boreal forest productivity in China with a biogeographic process model (forest-BGPG) [C] . Xiyun Liu, Xiangyang Sun, Chaozong Xia Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International . 2005

机译：利用生物地理过程模型（森林-BGPG）评估中国北方森林的生产力
5. Temporal and spatial patterns of fungal diversity along an elevational gradient in an arid ecosystem with implications to ecosystem functioning. [D] . Dobranic, Jason King. 2001

机译：干旱生态系统中沿海拔梯度的真菌多样性的时空格局，对生态系统功能具有影响。
6. Soil Bacterial and Fungal Communities Show Distinct Recovery Patterns during Forest Ecosystem Restoration [O] . Shan Sun, Song Li, Bethany N. Avera, 2017

机译：森林生态系统恢复过程中土壤细菌和真菌群落表现出截然不同的恢复模式
7. A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate [O] . Chong-Ke Zhao, Tian-Tian Ren, Yi-Fei Yin, 2021

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Performance of Statistical and Machine Learning-Based Methods for Predicting Biogeographical Patterns of Fungal Productivity in Forest Ecosystems

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