Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China
Decadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical reconstruction...
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doaj-0000d66d949247118295f28f9a2b33b82020-11-24T23:40:05ZengMDPI AGEnergies1996-10732015-05-01853882390210.3390/en8053882en8053882Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast ChinaYuanyuan Yang0Shuwen Zhang1Jiuchun Yang2Xiaoshi Xing3Dongyan Wang4College of Earth Science, Jilin University, 2199 Jianshe Street, Changchun 130061, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy Sciences, 4888 Shengbei Street, Changchun 130102, ChinaNortheast Institute of Geography and Agroecology, Chinese Academy Sciences, 4888 Shengbei Street, Changchun 130102, ChinaCenter for International Earth Science Information Network (CIESIN), Earth Institute, Columbia University, P.O. Box 1000 (61 Route 9W), Palisades, NY 10964, USACollege of Earth Science, Jilin University, 2199 Jianshe Street, Changchun 130061, ChinaDecadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical reconstruction of past land use and land cover changes. Most of the existing historical reconstructions have insufficient spatial and thematic detail and do not consider various land change types. In this context, this paper explored the possibility of using a cellular automata-Markov model in 90 m × 90 m spatial resolution to reconstruct historical land use in the 1930s in Zhenlai County, China. Then the three-map comparison methodology was employed to assess the predictive accuracy of the transition modeling. The model could produce backward projections by analyzing land use changes in recent decades, assuming that the present land use pattern is dynamically dependent on the historical one. The reconstruction results indicated that in the 1930s most of the study area was occupied by grasslands, followed by wetlands and arable land, while other land categories occupied relatively small areas. Analysis of the three-map comparison illustrated that the major differences among the three maps have less to do with the simulation model and more to do with the inconsistencies among the land categories during the study period. Different information provided by topographic maps and remote sensing images must be recognized.http://www.mdpi.com/1996-1073/8/5/3882cellular automata-Markov modelthree-map comparisonhistorical reconstructionspatial patternland use and land cover changeNortheast China |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuanyuan Yang Shuwen Zhang Jiuchun Yang Xiaoshi Xing Dongyan Wang |
spellingShingle |
Yuanyuan Yang Shuwen Zhang Jiuchun Yang Xiaoshi Xing Dongyan Wang Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China Energies cellular automata-Markov model three-map comparison historical reconstruction spatial pattern land use and land cover change Northeast China |
author_facet |
Yuanyuan Yang Shuwen Zhang Jiuchun Yang Xiaoshi Xing Dongyan Wang |
author_sort |
Yuanyuan Yang |
title |
Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China |
title_short |
Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China |
title_full |
Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China |
title_fullStr |
Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China |
title_full_unstemmed |
Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China |
title_sort |
using a cellular automata-markov model to reconstruct spatial land-use patterns in zhenlai county, northeast china |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2015-05-01 |
description |
Decadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical reconstruction of past land use and land cover changes. Most of the existing historical reconstructions have insufficient spatial and thematic detail and do not consider various land change types. In this context, this paper explored the possibility of using a cellular automata-Markov model in 90 m × 90 m spatial resolution to reconstruct historical land use in the 1930s in Zhenlai County, China. Then the three-map comparison methodology was employed to assess the predictive accuracy of the transition modeling. The model could produce backward projections by analyzing land use changes in recent decades, assuming that the present land use pattern is dynamically dependent on the historical one. The reconstruction results indicated that in the 1930s most of the study area was occupied by grasslands, followed by wetlands and arable land, while other land categories occupied relatively small areas. Analysis of the three-map comparison illustrated that the major differences among the three maps have less to do with the simulation model and more to do with the inconsistencies among the land categories during the study period. Different information provided by topographic maps and remote sensing images must be recognized. |
topic |
cellular automata-Markov model three-map comparison historical reconstruction spatial pattern land use and land cover change Northeast China |
url |
http://www.mdpi.com/1996-1073/8/5/3882 |
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