Prediction of the livestock carrying capacity using neural network in the meadow steppe

• DOI: 10.1071/rj18058
• Publication Date: 2019-01-03T01:17:22Z
• Authors: T. S. Wu; H. P. Fu; G. Jin; H. F. Wu; H. M. Bai
• Keywords: Overgrazing; Steppe; Backpropagation; Growing season

In order to predict the livestock carrying capacity in meadow steppe, a method using back propagation neural network is proposed based on meteorological data and remote-sensing of Normalised Difference Vegetation Index. method, was first utilised build behavioural model forecast precipitation during grass-growing season (June–July–August) from 1961 2015. Second, relationship between Index 2000 2015 modelled with help network. The prediction results demonstrate that network-based effective Thus, an accurate achieved model. short, this work can be used improve utilisation grassland prevent occurrence vegetation degradation by overgrazing drought years for arid semiarid grasslands.