Forest Ecological Diversity Change Prediction Discrete Dynamic Model

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.

Assessment of Global Forest Coverage through Machine Learning Algorithms

“…The conversation of this exploration paper centres around the drivers of deforestation and woods corruption, strategy, and the board ways to deal with address the issue of deforestation and woodland debasement. The concentrate in [7] shows the assurance and feasible utilization of woodland biological variety is of extraordinary importance to backwoods security and supportable administration. The writing survey features that deforestation is basically determined by horticultural extension, logging, mining, foundation advancement, and urbanization.…”

The Offset Azimuth Prediction of Light Buoy Based on Markov Chain Optimization Multiplicative Seasonal Model

“…Tian [13] proposed a new prediction method for short-term wind speed based on local mean decomposition (LMD) and combined kernel function least squares support vector machine (LSSVM), and the results show that the proposed prediction method has higher prediction accuracy and can reflect the laws of wind speed correctly. Li et al [14] constructed a WebGIS scheme of forest information system and open-source network geographic information system oriented to spatial information field and supported OGC and used the grey model to predict the development trend. e results showed that the method realized the double growth of forest area and forest volume, and the forest coverage rate reached a new level.…”