Land use change of Kitakyushu based on landscape ecology and Markov model

Abstract

Based on four phases of TM images acquired in 1990TM images acquired in , 1995TM images acquired in , 2000TM images acquired in and 2005 paper took Kitakyushu in Japan as a case study to analyze spatial change of land use landscape and corresponding effects on environmental issues guided by landscape ecology theory in virtue of combining technology of Remote Sensing with GIS. Firstly, land use types were divided into 6 classes (farmland, mountain, forestland, water body, urban land and unused land) according to national classification standard of land use, comprehensible ability of TM image and purpose of this study. Secondly, following the theory of landscape ecology analysis, 11 typical landscape indices were abstracted to evaluate the environmental effects and spatial feature changes of land use. Research results indicated that land use has grown more and more diversified and unbalanced, human activities have disturbed the landscape more seriously. Finally, transfer matrix of Markov was applied to forecast change process of land use in the future different periods, and then potential land use changes were also simulated from 2010 to 2050. Results showed that conversion tendency for all types of land use in Kitakyushu into urban construction land were enhanced. The study was anticipated to help local authorities better understand and address a complex land use system, and develop improved land use management strategies that could better balance urban expansion and ecological conservation.

Spatial Variability and Ecological Effects of Anthropogenic Activities in a Nature Reserve: A Case Study in the Baijitan National Nature Reserve, China

“…Higher Division values indicate increased fragmentation. The division index in 2014 was larger than that in 2009, which showed that the patch distribution became more dispersed because of the increase in human activities [37].…”

Detection and Prediction of Peatland Cover Changes Using Support Vector Machine and Markov Chain Model

“…Meanwhile, the future condition was analyzed by a Markov chain method based on past land covers.Markov chain were used to gain the percentage and probability for each type of land cover convert to other land cover type. A first-order Markov chain model is a model in which probability distribution over next state is assumed to depend only on the current state [18]. A first-order Markov model have been widely used to represent the land cover change for diffrent time intervals.…”

Modeling behavior control of golden apple snails at different temperatures

“…However, only a few studies focus on behavioral sequences (Gherardi and Pieraccini, 2004). A behavioral sequence can be modeled through the Markov chain, a discrete random process in which the probability of a system in the next time step depends only on the current state of the system and is independent of the previous step (Guan et al, 2008). The Markov chain has been used to analyze landscape changes (e.g., Baker, 1989), population ecology (e.g., Seneta, 1966;Fujiwara and Caswell, 2002), and behavioral ecology (Lusseau, 2003).…”