DOI: 10.1016/j.gloplacha.2015.02.007
论文题名: Research on reconstructing spatial distribution of historical cropland over 300years in traditional cultivated regions of China
作者: Yang X. ; Jin X. ; Guo B. ; Long Y. ; Zhou Y.
刊名: Global and Planetary Change
ISSN: 0921-8181
出版年: 2015
卷: 128 起始页码: 90
结束页码: 102
语种: 英语
英文关键词: China traditional cultivated region
; Historical cultivated land
; LUCC
; Reconstruction
; Spatial distribution
Scopus关键词: Decision making
; Image reconstruction
; Land use
; Mobile security
; Rain
; Average annual precipitation
; China traditional cultivated region
; Cultivated lands
; Decision-making behaviors
; Land use and cover change
; LUCC
; Quantitative information
; Universal parameters
; Spatial distribution
; agricultural history
; agricultural land
; agricultural modeling
; cultivation
; data set
; decision making
; land cover
; numerical model
; precipitation (climatology)
; reconstruction
; rural society
; spatial distribution
; traditional agriculture
; China
英文摘要: Constructing a spatially explicit time series of historical cultivated land is of upmost importance for climatic and ecological studies that make use of Land Use and Cover Change (LUCC) data. Some scholars have made efforts to simulate and reconstruct the quantitative information on historical land use at the global or regional level based on "top-down" decision-making behaviors to match overall cropland area to land parcels using land arability and universal parameters. Considering the concentrated distribution of cultivated land and various factors influencing cropland distribution, including environmental and human factors, this study developed a "bottom-up" model of historical cropland based on constrained Cellular Automaton (CA). Our model takes a historical cropland area as an external variable and the cropland distribution in 1980 as the maximum potential scope of historical cropland. We selected elevation, slope, water availability, average annual precipitation, and distance to the nearest rural settlement as the main influencing factors of land use suitability. Then, an available labor force index is used as a proxy for the amount of cropland to inspect and calibrate these spatial patterns. This paper applies the model to a traditional cultivated region in China and reconstructs its spatial distribution of cropland during 6 periods. The results are shown as follows: (1) a constrained CA is well suited for simulating and reconstructing the spatial distribution of cropland in China's traditional cultivated region. (2) Taking the different factors affecting spatial pattern of cropland into consideration, the partitioning of the research area effectively reflected the spatial differences in cropland evolution rules and rates. (3) Compared with "HYDE datasets", this research has formed higher-resolution Boolean spatial distribution datasets of historical cropland with a more definitive concept of spatial pattern in terms of fractional format. We conclude that our reconstruction is closer to the actual change pattern of the traditional cultivated region in China. © 2015 Elsevier B.V. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925306222&doi=10.1016%2fj.gloplacha.2015.02.007&partnerID=40&md5=79ebb8387a03493a6fb546bd465fba9e
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11542
Appears in Collections: 全球变化的国际研究计划 气候变化与战略
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作者单位: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China
Recommended Citation:
Yang X.,Jin X.,Guo B.,et al. Research on reconstructing spatial distribution of historical cropland over 300years in traditional cultivated regions of China[J]. Global and Planetary Change,2015-01-01,128.