Abstract

Abstract. Forest network-construction uses for the method and model with the scale-free features of complex network theory based on random graph theory and dynamic network nodes which show a power-law distribution phenomenon. The model is suitable for ecological disturbance by larger ecological landscape Pearl River Delta consistent recovery. Remote sensing and GIS spatial data are available through the latest forest patches. A standard scale-free network node distribution model calculates the area of forest network’s power-law distribution parameter value size; The recent existing forest polygons which are defined as nodes can compute the network nodes decaying index value of the network’s degree distribution. The parameters of forest network are picked up then make a spatial transition to GIS real world models. Hence the connection is automatically generated by minimizing the ecological corridor by the least cost rule between the near nodes. Based on scale-free network node distribution requirements, select the number compared with less, a huge point of aggregation as a future forest planning network’s main node, and put them with the existing node sequence comparison. By this theory, the forest ecological projects in the past avoid being fragmented, scattered disorderly phenomena. The previous regular forest networks can be reduced the required forest planting costs by this method. For ecological restoration of tropical and subtropical in south China areas, it will provide an effective method for the forest entering city project guidance and demonstration with other ecological networks (water, climate network, etc.) for networking a standard and base datum.

Highlights

  • Forest network-construction uses for the method and model with the scale-free features of complex network theory based on random graph theory and dynamic network nodes which show a power-law distribution phenomenon

  • Compared to Yellow River Delta's many times of the swing in north China, the Pearl River Delta region in south is more stable on natural changes

  • In the event of sudden natural disasters, it is often short of the ability to return back and whose ecological flexibility is smaller

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Summary

THE FOREST NETWORK SPATIAL-TEMPORAL CHARACTERISTICS

The forests in the Pearl River Delta region were normally distributed. For the great immigration during the past long history and the damaging of war and forest firing, the Pearl River Delta region and low hilly areas of forests had been gradually developed out. In the event of sudden natural disasters, it is often short of the ability to return back and whose ecological flexibility (ecology resilience) is smaller. Such as in this areas, the spread of SARS epidemic in 2003, the cold winter snow and ice disasters in 2008, and the typhoon disasters in summer and autumn and the Avian Influenza Virus(H5N7) in winter, which have a greater impact on coastal marine economy, transportation and suburban aquaculture

MODELING AND DATA COLLECTION METHODS
Geometric changes
Proof and derivation of model approach
Programming Problem Requirements
Node Vertices
Three parameters
RESULTS
Full Text
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