Forest Ecological Diversity Change Prediction Discrete Dynamic Model. (19th January 2022)

• Record Type: Journal Article
• Authors: Li, Jingxia; Zhou, Aijun; Liao, Yongfeng; Zhao, Zixin; Mao, Xiaoli; Zhang, Shuoxin
• Other Names: Sun Gengxin Academic Editor.
• Is Part Of: Discrete dynamics in nature and society. Volume 2022(2022)
• Publication Date: 2022-01-19
• Subjects: System analysis -- Periodicals; Dynamics -- Periodicals; Chaotic behavior in systems -- Periodicals; Differentiable dynamical systems -- Periodicals; 003.05
• DOI: 10.1155/2022/4869363
• Languages: English
• ISSNs: 1026-0226

Abstract

Abstract : Forest ecosystem is the most important terrestrial ecosystem type of species diversity in the world. The protection and sustainable use of forest ecological diversity is of great significance to forest protection and sustainable management. In order to maintain biodiversity, the traditional concept of forest resources management must be changed. In recent years, the mining and application of big data have become the frontier content of international ecological diversity and macroecology research. By establishing the discrete dynamic model of forest ecological diversity change, this study finds a method that can keep the number of trees stable in a short time and ensure the sustainable development of forest resources. This article studies and constructs the forest information system and constructs an open-source WebGIS (network geographic information system) scheme for the field of spatial information and supporting OGC (occupationally generated content). At the same time, the grey theory GM (1, 1) model is used to predict the development trend of forest resources in China. The results show that under the promotion of policies and research projects, China's forestry development has realized the double growth of forest area and volume, and the forest coverage rate has reached a new level.