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Erschienen in:
Overview of the Chinese History During the Past 300 Years Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

6. Reconstruction Spatial-Temporal Pattern of Historical Farmland Based on Bottom-up Methodology

verfasst von : Xiaobin Jin, Yinkang Zhou, Xuhong Yang, Yinong Cheng

Erschienen in: Historical Farmland in China During 1661-1980

Verlag: Springer International Publishing

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Abstract

Considering the historical farmland change process and the interactions between behavioral subjects in the decision process of cultivation site selection, this chapter tries to put forward a new method system to reconstruct the spatial pattern of historical farmland. It is proposed with the “bottom-up” ideology, i.e., the Constrained CA (Cellular Automata) and MAS (Multi-Agent Systems) model. The empirical study has shown that in contrast to the “top-down” method, the “bottom-up” method is capable to obtain the greater simulation accuracy and reflect the change process of farmland better in reconstructing the historical farmland distribution. Nevertheless, the “bottom-up” method does consume more time and computing power to iterate thousands loops to simulate the potential spatial pattern of historical farmland.

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Vorheriges Kapitel Farmland Dataset Reconstruction in the Past 300 Years in China
Nächstes Kapitel Farmland Spatial Pattern Reconstruction in the Past 300 Years in China
Literatur
Bai, S. Y., Zhang, S. W., & Zhang, Y. Z. (2007). Digital rebuilding of LUCC spatial-temporal distribution of the last 100 years: Taking Dorbod Mongolian autonomous county in Daqing city as an example. Acta Geographica Sinica, 62(4), 427–436.
Brown, L. A., & Moore, E. G. (1970). The intra-urban migration process. GeografiskaAnnaler, 52(1), 1–13.
Cao, X., Jin, X. B., & Zhou, Y. K. (2013). Research on cropland data recovery and reconstruction in the Qing dynasty: Method and case study. Acta Geographica Sinica, 68(2), 245–256.
Cheng, F. (2010). Research on agriculture development and live hood of Shandong province in Qing dynasty. Nankai University.
Fang, X. Q., Yu, Y. E., Ge, Q. S., et al. (2005). Land exploitation in the northeast China during the Qing dynasty inferred from the development of town system. Scientia GeographicaSinica, 25(2), 129–134.
Feng, Z. M., Liu, B. Q., & Yang, Y. Z. (2005). A study of the changing trend of Chinese cultivated land amount and data reconstructing: 1949–2003. Journal of Natural Resources, 20(1), 35–43.
Foley, J. A., Defries, R., Asner, G. P., et al. (2005). Global consequence of land use. Science, 309(5734), 570–574.CrossRef
Fuchs, R., Verburg, P. H., Clevers, J. G. P. W., et al. (2015). The potential of old maps and encyclopedias for reconstructing historic European land cover/use change. Applied Geography, 59(59), 43–55.CrossRef
Ge, Q. S., Dai, J. H., He, F. N., et al. (2003). The quantity change of cropland resources in the traditional cultivated region in China over the past 300 years and its driving factors analysis. Progress in Natural Science, 13(8), 825–832.
Goldewijk, K., & Battjes, J. J. (1997). A hundred year database for integrated environmental assessments. Bilthoven, the Netherlands: National Institute of Public Health and the Environment (RIVM).
Goldewijk, K. K. (2001). Estimating global land use change over the past 300 years: The HYDE database. Global Biogeochemical Cycles, 15(2), 417–433.CrossRef
Goldewijk, K. K., & Ramankutty, N. (2004). Land cover change over the last three centuries due to human activities: The availability of new global data sets. GeoJournal, 61(4), 335–344.CrossRef
He, F. N., Dai, J. H., & Ge, Q. S. (2005). An analysis of reclamation trend in the early Qing dynasty from the view point of Kangxi to Qianlong cultivation and reclamation policies. Geographical Research, 24(6), 878–888.
He, F. N., Li, S. C., Zhang, X. Z., et al. (2012). Comparisons of reconstructed cropland area from multiple datasets for the traditional cultivated region of China in the last 300 years. Acta Geographica Sinica, 67(9), 1190–1200.
He, F. N., Tian, Y. Y., & Ge, Q. S. (2003). Spatial-temporal characteristics of land reclamation in Guanzhong region in the Qing dynasty. Geographical Research, 22(6), 687–697.
Jiao, L. M., & Liu, Y. L. (2004). Application of fuzzy neural networks to land suitability evaluation. Editorial Board of Geomatics & Information Science of Wuhan University, 29(6), 513–516.
Li, K., He, F. N., & Zhang, X. Z. (2011). An approach to reconstructing spatial distribution of historical cropland with grid-boxes by utilizing MODIS land cover dataset: A case study of Yunnan province in the Qing dynasty. Geographical Research, 30(12), 2281–2288.
Li, L. F. (1993). Agricultural geography of Shandong province in Ming-Qing dynasty. Xi’an: Shaanxi Normal University.
Li, S. C., He, F. N., & Chen, Y. S. (2012). Gridding reconstruction of cropland spatial patterns in southwest China in the Qing dynasty. Progress in Geography, 31(9), 1196–1203.
Li, S. C., He, F. N., & Zhang, X. Z. (2016). A spatially explicit reconstruction of cropland cover in China from 1661 to 1996. Regional Environmental Change, 16(2), 417–428.CrossRef
Li, X., & Yeh, A. G. O. (1999). Constrained cellular automata for modeling sustainable urban forms. Acta Geographica Sinica, 54(1), 289–298.
Lin, S. S., Zheng, J. Y., & He, F. N. (2008). The approach for gridding data derived from historical cropland records of the traditional cultivated region in China. Acta Geographica Sinica, 63(1), 83–92.
Liu, M. H., Dai, Z. Z., Qiu, D. C., et al. (2011). Influencing factors analysis and rational distribution on rural settlements in mountains region. Economic Geography, 31(3), 476–482.
Liu, X. P., Li, X., Chen, Y. M., et al. (2010). Agent-based model of residential location. Acta Geographica Sinica, 65(6), 695–707.
Liu, X. P., Li, X., & Yeh, G. O. (2006). Multi-agent systems for simulating spatial decision behaviors and land-use dynamics. Science in China (Series D:Earth Sciences), 49(11), 1184–1194.
Liu, Y. L., Liu, Y. F., & Xia, Z. F. (1995). Land suitability evaluation based on fuzzy comprehensive judgment. Journal of Wuhan Technical University of Surveying and Mapping, 20(1), 71–75.
Long, Y., Han, H. Y., & Mao, Q. Z. (2009). Establishing urban growth boundaries using constrained CA. Acta Geographica Sinica, 64(8), 999–1008.
Long, Y., Jin, X. B., Li, M. Y., et al. (2014a). A constrained cellular automata model for reconstructing historical arable land in Jiangsu province. Geographical Research, 33(12), 2239–2250.
Long, Y., Jin, X. B., Yang, X. H., et al. (2014b). Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu, China. Applied Geography, 52(4), 67–77.CrossRef
Long, Y., Shen, Z. J., Mao, Q. Z., et al. (2010). Form scenario analysis using constrained cellular automata. Acta Geographica Sinica, 65(6), 643–655.
Peng, Y. X. (1990). In cultivation history in Qing dynasty (pp. 1–285). Beijing: China Agriculture Press.
Pongratz, J., Reick, C., Raddatz, T., et al. (2008). A reconstruction of global agricultural areas and land cover for the last millennium. Biogeochem Cycles, 22(3), 1–16.CrossRef
Ramankutty, N., & Foley, J. A. (1999). Estimating historical changes in global land cover: Croplands from 1700 to 1992. Global Biogeochemical Cycles, 13(4), 997–1027.CrossRef
Ramankutty, N., Foley, J. A., & Olejniczak, N. J. (2016). People on the land: Changes in global population and croplands during the 20th century. AMBIO: A Journal of the Human Environment, 31(3), 251–257.CrossRef
Tian, H. Q., Banger, K., Bo, T., et al. (2014). History of land use in India during 1880–2010: Large-scale land transformations reconstructed from satellite data and historical archives. Global and Planetary Change, 121(10), 78–88.CrossRef
Wu, F. L. (1998). SimLand: A prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science, 12(1), 63–82.CrossRef
Xie, Y. W., Wang, X. Q., Wang, G. S., et al. (2013). Cultivated land distribution simulation based on grid in middle reaches of Heihe River basin in the historical periods. Advances in Earth Science, 28(1), 71–78.
Yang, X. H., Guo, B. B., Jin, X. B., et al. (2015a). Reconstructing spatial distribution of historical cropland in China’s traditional cultivated region: Methods and case study. Chinese Geographical Science, 25(5), 629–643.CrossRef
Yang, X. H., Jin, X. B., Guo, B. B., et al. (2015b). Research on reconstructing spatial distribution of historical cropland over 300 years in traditional cultivated regions of China. Global and Planetary Change, 128, 90–102.CrossRef
Ye, D. Z., & Fu, C. B. (2004). Some advance in global change science study. Chinese Journal of Atmospheric Sciences, 19(5), 336–341.
Ye, Y., Fang, X. Q., Ren, Y. Y., et al. (2009). Northeast cultivated land cover changes over the past 300 years. Science in China (Series D), 31(3), 340–350.
Yeh, G. O., & Li, X. (2001). A constrained CA model for the simulation and planning of sustainable urban forms by using GIS. Environment and Planning B: Planning and Design, 28(5), 733–753.CrossRef
Zhang, G. P., Liu, J. Y., & Zhang, Z. X. (2003). Spatial-temporal changes of cropland in China for the past 10 years based on remote sensing. Acta Geographica Sinica, 58(3), 323–332.
Zhang, H., Jin, X., Wang, L., et al. (2015). Multi-agent based modeling of spatiotemporal dynamical urban growth in developing countries: Simulating future scenarios of Lianyungang city, China. Stochastic Environmental Research and Risk Assessment, 29(1), 63–78.CrossRef
Zhang, H. H., Zeng, Y. N., Jin, X. B., et al. (2008). Urban land expansion model based on multi-agent system and application. Acta Geographica Sinica, 63(8), 869–881.
Zhou, R. (2001). A general inspection and re-appraisal on area under cultivation in the early period of Qing dynasty. Jianghan Tribune, 9, 57–61.
Zhu, F., Cui, X. F., & Miao, L. J. (2012). China’s spatially-explicit historical land-use data and its reconstruction methodology. Progress in Geography, 31(12), 1563–1573.
Metadaten
Titel
Reconstruction Spatial-Temporal Pattern of Historical Farmland Based on Bottom-up Methodology
verfasst von
Xiaobin Jin
Yinkang Zhou
Xuhong Yang
Yinong Cheng
Copyright-Jahr
2018
Buch
Historical Farmland in China During 1661-1980

Print ISBN: 978-3-319-71878-1

Electronic ISBN: 978-3-319-71879-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-71879-8_6