Prediction of aboveground grassland biomass on the Loess Plateau, China, using a random forest algorithm

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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Bibliographic Details
Main Authors: Yinyin Wang, Gaolin Wu, Lei Deng, Zhuangsheng Tang, Kaibo Wang, Wenyi Sun, Zhouping Shangguan
Format: Article
Language:English
Published: Nature Portfolio 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-07197-6

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