Research on Innovative Design Mode of Wetland Landscape Ecological Restoration in the Era of Artificial Intelligence

Autor: Cao Hu, Lu Pei, Liu Heming
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns-2024-0188
Popis: With global warming and enhanced human activities, wetland landscapes are facing environmental problems such as area shrinkage, deterioration of plant and animal living environment, and degradation of ecosystem structure and function. The evolution process of wetland landscape patterns is examined in this paper through the lens of landscape patterns and ecological security. Based on the principles of sustainable socio-economic development and ecological protection, a multi-objective optimization model for wetland ecological restoration is constructed, and the wetland ecological restoration scheme under the four objectives of maximizing economic benefits, maximizing ecological benefits, maximizing spatial compactness, and maximizing restoration suitability is explored with the help of NSGA-II algorithm. The optimal spatial design scheme for the ecological restoration of wetland landscapes was created by considering the restoration results of vegetation and waterbird organisms in the ecological zone. The results showed that the optimal salinity of the optimal restoration scheme for Wetland C was 20 ppt, the optimal water level ranged from 10 to 50 cm, and the suitability level of wetland restoration ranged from 1.31 to 4.78. The mean values for viability, organization, and resilience were 0.384, 0.553, and 0.632 for the restored Wetland C landscape ecosystem, which saw a significant improvement. The study in this paper provides a significant basis for making important decisions in the management and design of ecological restoration of wetland landscapes.
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