Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks

Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks

Abstract Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock in arid regions. However, there is a lack of spatiotemporal analysis of litterfall in arid riparian forests. This study aims to estimate Litterfall load using a BP neural network b...

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Main Authors: Junyu Xu, Anwar Eziz, Alishir Kurban, Ümüt Halik, Zhiwen Shi, Saif Ullah, Gift Donu Fidelis, Yingdong Ma, Ziwargul Kibir, Toqeer Ahmed, Tim Van de Voorde, Adil Hujashim, Hossein Azadi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Litterfall load
BP neural network
Arid region
Desert riparian forest
Online Access:https://doi.org/10.1038/s41598-024-82435-2
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https://doi.org/10.1038/s41598-024-82435-2

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