Optimal selection of tree species for ecological protection forests on the riverbank side of the lower Yellow River flood control dikes
• Research background and significance : This study addresses the selection of tree species for ecological protection forests along the lower Yellow River dikes, considering the context of global climate change and frequent extreme floods. It proposes a TOPSIS-AHP coupled model to enhance flood defense capacity and ecological stability. • Innovative methodology : For the first time, the TOPSIS method is combined with AHP, introducing interval numbers and triangular fuzzy numbers to address the challenges of quantifying certain indicators in tree species selection, thereby improving the model’s scientific rigor and applicability. • Application of remote sensing technology : Through remote sensing imagery analysis, the study investigates vegetation coverage changes in typical sections of the lower Yellow River, revealing the current distribution of ecological protection forests and providing data support for future forest construction. • Tree species selection results : The results indicate that willow, Chinese pagoda tree, and white wax tree are suitable species for ecological protection forests along the lower Yellow River dikes, with willow achieving the highest suitability score (0.727), demonstrating strong flood resistance and ecological adaptability. • Dual ecological and flood control benefits : This study not only provides a scientific basis for tree species selection in ecological protection forests along the lower Yellow River dikes but also offers valuable insights for ecological protection and high-quality development in the Yellow River Basin, highlighting significant ecological and flood control benefits. In the context of global climate change and frequent extreme floods in river basins, river floods pose a global challenge for flood management. Ensuring that flood control dikes do not breach is a fundamental principle of flood defense. The ecological protection forests on the riverbank side of dikes, as an important biological flood control measure, play a crucial role in mitigating the direct impact of floods on the dikes. Selecting appropriate tree species for these forests is one of the key factors in enhancing flood defense capacity. This paper first analyzes the construction needs and planning status of the ecological protection forests on the riverbank side of the Lower Yellow River dikes. Using remote sensing imagery analysis, typical years are selected to study the variation in vegetation coverage along the wide river sections from Huayuankou to Gao Village in the Lower Yellow River. Based on vegetation coverage, the current distribution of the ecological protection forests is analyzed in different river sections. Then, a TOPSIS-AHP coupled model is constructed for tree species selection, considering three primary indicators: wave dissipation capacity, growth characteristics, and auxiliary functions, as well as eight secondary indicators: root development, branch flexibility, vegetation height, etc. Interval numbers and triangular fuzzy numbers are introduced to address the difficulties in quantifying certain indicators, while the Analytic Hierarchy Process (AHP) is used to determine indicator weights. The model is applied to the Lower Yellow River, selecting eight plant species for optimization. The results show that willows, Chinese pagoda trees, and white wax trees are suitable species for the ecological protection forests on the riverbank side of the Lower Yellow River dikes, with willows being the optimal species, achieving a suitability score of 0.727.
Authors
- Chaoqun Li (ORCID: https://orcid.org/0009-0000-2971-1488)
- Kexin Li
- Zhongrui Bai (ORCID: https://orcid.org/0000-0003-3884-5693)
- Xiaolei Zhang (ORCID: https://orcid.org/0000-0003-3701-2032)
- Zhiheng Xu (ORCID: https://orcid.org/0000-0002-8249-6729)
- Chen Yang (ORCID: https://orcid.org/0000-0003-2181-7397)
Institutions
- North China University of Water Resources and Electric Power (CN)
- Henan Province Water Conservancy Survey and Design Research (CN)
- Yellow River Institute of Hydraulic Research (CN)
Publication Details
- Journal
- Ecological Indicators
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1016/j.ecolind.2025.113691
- Citations
- 2
- Primary Topic
- Fire effects on ecosystems
- Type
- article
- Field-Weighted Citation Impact
- 2.21
Funders
- National Natural Science Foundation of China
- Ministry of Water Resources