[Effective Methods for Predicting Carbon Exchange in Desert Photovoltaic Ecosystems: Support Vector Machine Model Optimized with Sparrow Search Algorithm].

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Authors: Hang Chen, Chen Li, Wei Wu, Gang Lu, De-Li Ye, Chao Ma, Lei Ren, Guo-Dong Li
Cited by: 0

Abstract

. The impact of climate change on carbon cycling during the growing season was significantly higher than that during the non-growing season, indicating that the desert photovoltaic ecosystem will still maintain strong carbon sequestration potential in the future. This study provides a new perspective for predicting carbon exchange in desert photovoltaic ecosystems and also provides data support for fields such as ecosystem stability assessment, environmental restoration, and climate change trend analysis.

Fields of Study & Subjects

Plant Water Relations and Carbon Dynamics Photovoltaic Systems and Sustainability Forest Soil and Plant Ecology in China

Publication details

Journal / source
PubMed
Volume
47
Issue
1
Pages
162–172
Publication date
8 January 2026
Language
ZH