Prediction of aboveground grassland biomass on the Loess Plateau, China, using a random forest algorithm
Abstract Grasslands are an important component of terrestrial ecosystems that play a crucial role in the carbon cycle and climate change. In this study, we collected aboveground biomass (AGB) data from 223 grassland quadrats distributed across the Loess Plateau from 2011 to 2013 and predicted the sp...
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| Main Authors: | , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2017
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| Subjects: | |
| Online Access: | https://doaj.org/article/2dd672d16bd04a47aba7689e977e614d |
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