Issue |
E3S Web Conf.
Volume 628, 2025
2025 7th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2025)
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Article Number | 02015 | |
Number of page(s) | 4 | |
Section | Exploration of Dynamic Changes in Environmental Ecosystems and Protection Strategies | |
DOI | https://doi.org/10.1051/e3sconf/202562802015 | |
Published online | 16 May 2025 |
Optimization of Economic Utilization and Control Strategies for Invasive Plants in Chinese Cities Based on Analytic Hierarchy Process—A Case Study of Lhasa City
Department of Biological Sciences, Tibet University,
Lhasa, Tibet, China
The economic utilization and control strategies of invasive plants have profound implications for both ecology and economy. This study aims to explore sustainable utilization and management methods for controlling invasive alien plants, in order to mitigate their negative impacts on the ecological system of Lhasa city, especially the Lalu Wetland. This study pioneers a metabolic nexus between ecological protection and circular bioeconomy through Analytic Hierarchy Process (AHP). By establishing a cascaded resource utilization framework (extraction rate: 89.2% ±3.7%), we demonstrate that invasive plants in Lhasa can generate ¥15.6k/ha annual revenue while restoring 34% of native biodiversity within 5 years—a 270% improvement over traditional eradication strategies. This not only helps to protect the ecological environment of Tibet but also provides new opportunities for local economic development. Based on the Analytic Hierarchy Process (AHP), this study constructs a multi-objective decision-making model for the economic utilization and control strategies of invasive plants in Chinese cities. By quantitatively analyzing four major criteria: economic, ecological, social, and technical, it proposes an optimized solution centered on "ecological priority, ecological protection and control."
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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