Land Use/Cover Change from 2001 to 2010 and its Socioeconomic Determinants in Guangdong Province, A Rapid Urbanization Area of China

Çin'in ekonomik gelişim ve kentleşme bakımından öncü bölgelerinden Guangdong'da, ekonomik gelişim ve nüfus artışına bağlı olarak arazi kullanım/arazi örtüsü hızla değişmektedir. Bölgede alan kullanım tiplerini ve arazi değişimlerini tespit edebilmek için 500 metre çözünürlükte Orta Çözünürlüklü Spektroradyometre Görüntüleme Sistemi (MODIS) L1B görüntüleri üzerinden destek vektör makineleri (SVM) algoritması kullanılarak 2001-2010 yıllarına ait alan kullanım haritaları elde edilmiştir. Harita analizleri sonucunda 2001-2010 yılları arasında kentsel alanların 4186 km2 ve meyveliklerin 3615.5 km2 artış gösterdiği, tarım alanlarının % 11.46 oranından% 10.14'e gerilediği görülmüştür. Bölgede hızlı kentleşmeye bağlı olarak tarım arazilerinin azaldığı belirlenmiştir. Boş arazilerin kentsel alana dönüşmesi yanında tarım alanları ile boş alanların yer değiştirmesi bölgede en çok görülen değişimlerdir. Bu değişimler özellikle 2007 ve 2010 yılları arasında % 5.13 ve % -19.33 değişim oranlarında görülmüştür. Bölgede alan kullanım değişimlerini etkileyen çeşitli sosyo-ekonomik faktörler belirlenmiştir. Gayrisafi yurtiçi hasıla ve sabit gelirin değişimi, perakende malların tüketimi ile çağdaş servis endüstrilerinin artışı ve yaygınlaşması sonucunda oluşan göçlerle endüstriyel yapı yaygınlaşmış; dolayısıyla kentler hızla büyüyerek tarım arazileri yok edilmiştir.

Çin'in Hızlı Bir Ekonomik Gelişim Alanı Olan Guangdong'da Arazi Kullanımı/Arazi Örtüsü Değişimleri ve Sosyo-Ekonomik Etkileri

Rapid economic and population growth exert profound effects on land use/cover change, especially in rapid economically developing areas, such as Guangdong Province-a pioneer of economic growth and urbanization in China. To elucidate the changes and mutual conversions of land-use types and their determinants in Guangdong Province, land-use maps of Guangdong Province from 2001 to 2010 were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) L1B images with 500 m resolution by using the supervised classification combined support vector machine (SVM) algorithm with a decision tree. The results indicate that during the studied time period, the area of urban land and orchards increased by 4186 km2 and 3615.5 km2, respectively, while the percentage of cropland decreased from 11.46% to 10.14%. Massive urbanization and cropland loss have occurred in the region. The conversion from wasteland to urban land, and the mutual transformation between wasteland and cropland were the most prevalent in Guangdong Province. This was especially obvious from 2007 to 2010, with an annual changing rate of 5.13% and -19.33%, respectively. Several socio-economic factors were also obtained to investigate their impacts on land-use changes in Guangdong Province. It is shown that marked increases in gross domestic product (GDP), total investment in fixed assets, total retail sales of consumer goods, and the increasing development of modern service industries have led to large-scale migration, and industrial structure adjustment and improvement; consequently dramatically rapid expansion of cities and cropland loss have occurred.

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Bagarinao R T (2008). Land use change and its implications on the environment and people's health: The case of Mananga Watershed in Metro Cebu, Philippines. Asia Life Sciences 2: 65-76
Burges C J C (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2: 121-167
Chen G Y, Guo D Z, Wojtaszek M V & Márkus B (2011). Land use and land cover change based on remote sensing and GIS in Changping, Beijing, China and Lake Velence Watershed, Hungary. Advanced Material Research 403-408: 1543-1547
Dai J L, Wang K Y & Gao X L (2010). Spatial structure and land use control in extended metropolitan region of Zhujiang River Delta, China. Chinese Geographical Science 20(4): 298-308
Ding H, Wang R C, Wu J P, Zhou B, Shi Z & Ding L X (2007). Quantifying land use change in Zhejiang Coastal region, China using multi-temporal landsat TM/ETM plus images. Pedosphere 17(6): 712-720
Fan F L, Wang Y P & Wang Z S (2008). Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in Core corridor of Pearl River Delta (China) by using TM and ETM+ images. Environmental Monitoring and Assessment 137(1-3): 127-147
Ge Q S, Zhao M C & Zheng J Y (2000). Land use change of China during the 20th century. Acta Geographica Sinica 55(6): 706-716
Gilani H, Shrestha H L, Murthy M S R, Phuntso P, Pradhan S, Bajracharya B & Shrestha B (2015). Decadal land cover change dynamics in Bhutan. Journal of Environmental Management 148: 91-100
Guangdong Statistical Bureau & Guangdong Survey Office of National Bureau of Statistics (2002, 2005, 2008, 2010). Guangdong Statistical Yearbook (2002, 2005, 2008, 2010). China Statistics Press, Beijing (in Chinese)
He B F, Fan W, Liu H M & Feng Y (2007). Study of land cover classification of Anhui province using MODIS data. Infrared Technology 29(11): 651-656
Jia W J & Xu F F (2010). Land use change research in Beijing city based on MODIS. Journal of Shandong Jianzhu University 25(2): 151-153
Kiage L M, Liu K B, Walker N D, Lam N & Huh O K (2007). Recent land-cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM. International Journal of Remote Sensing 28(19): 4285-4309
Lambin E F, Turner B L, Geist H J, Agbola S B, Angelsen A, Bruce J W, Coomes O T, Dirzo R, Fischer G, Folke C, George P S, Homewood K, Imbernon J, Leemans R, Li X B, Moran E F, Mortimore M, Ramakrishnan P S, Richards J F, Skanes H, Steffen W, Stone G D, Svedin U, Veldkamp T A, Vogel C & Xu J C (2001). The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change-Human and Policy Dimensions 11(4): 261- 269
Lambin E F, Geist H J & Lepers E (2003). Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources 28(1): 205-241
Li L L, Wang Y P & Liu C (2014). Effects of land use changes on soil erosion in a fast developing area. International Journal of Environmental Science & Technology 11: 1549-1562
Lichtenberg E & Ding C (2008). Assessing farmland protection policy in China. Land Use Policy 25(1): 59-68
Lin G & Ho S P (2003). China's land resources and land- use change: insights from the 1996 land survey. Land Use Policy 20(2): 87-107
Liu J Y, Liu M L, Zhuang D F, Zhang Z Z & Deng X Z (2003). Study on spatial pattern of land-use change in China during 1995-2000. Science in China Series D: Earth Sciences 46(4): 373-384
Liu J Y, Zhang Z X, Xu X L, Kuang W H, Zhou W C, Zhang S W, Li R D, Yan C Z, Yu D S & Wu S X (2010). Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences 20(4): 483-494
Lo C P & Yang X J (2002). Drivers of land-use/land- cover changes and dynamic modeling for the Atlanta, Georgia Metropolitan Area. Photogrammetric Engineering and Remote Sensing 68(10): 1073-1082
Masek J G, Lindsay F E & Goward S N (2000). Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. International Journal of Remote Sensing 21(18): 3473-3486
Mertes C M, Schneider A, Sulla-Menashe D, Tatem A J & Tan B (2014). Detecting change in urban areas at continental scales with MODIS data. Remote Sensing of Environment doi.org/10.1016/j.rse.2014.09.023
Meyer W B & Turner B L (1992). Human population growth and global land-use/cover change. Annual Review of Ecology and Systematics 23: 39-61
Okamoto K, Shindo J & Kawashima H (2005). Analysis of rapid land-use/land-cover change in North-eastern China using Landsat TM/ETM+ data. Transactions on Ecology and the Environment 81: 553-561
Seto K C, Woodcock C E, Song C, Huang X, Lu J & Kaufmann R K (2002). Monitoring land-use change in the Pearl River Delta using Landsat TM. International Journal of Remote Sensing 23(10): 1985-2004
Shi P J, Gong P & Li X B (2000). 2. Science Press, Beijing (in Chinese)
Siciliano G (2012). Urbanization strategies, rural development and land use changes in China: A multiple-level integrated assessment. Land Use Policy 29(1): 165-178
Skole D & Tucker C (1993). Tropical deforestation and habitat fragmentation in the Amazon: Satellite data from 1978 to 1988. Science 260(5116): 1905-1910
Sun X, He J, Shi Y Q, Zhu X D & Li Y F (2012). Spatiotemporal change in land use patterns of coupled human-environment system with an integrated monitoring approach: A case study of Lianyungang, China. Ecological Complexity 12: 23-33
Thenkabail P S, Schull M & Turral H (2005). Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sensing of Environment 95(3): 317-341
Thomson C N & Hardin P (2000). Remote sensing/GIS integration to identify potential low-income housing sites. Cities 17(2): 97-109
Townshend J R G, Justice C O & Kalb V (1987). Characterization and classification of South American land cover types using satellite data. International Journal of Remote Sensing 8(8): 1189-1207
Tucker C J, Townshend J R G & Goff T E (1985). African land-cover classification using satellite data. Science 227(4685): 369-375
Wang X L & Bao Y M (1999). Study on the mehods of land use dynamic change research. Progress In Geography 18(1): 81-87
Wang S Y, Liu J Y, Zhang Z X, Zhou Q B & Zhao X L (2001). Analysis on spatial-temporal features of land use in China. Acta Geographica Sinica 56(6): 631- 639
Wang J, Chen Y Q, Shao X M, Zhang Y Y & Cao Y G (2012). Land-use changes and policy dimension driving forces in China: Present, trend and future. Land Use Policy 29(4): 737-749
Wang Y, Chen Y N, Ding J L & Fang G H (2015). Land- use conversion and its attribution in the Kaidu- Kongqi River Basin, China. Quaternary International 380-381: 216-223
Weng Q H (2002). Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. Journal of Environmental Management 64(3): 273-284
Wu Q, Li H Q, Wang R S, Paulussen J, He Y, Wang M, Wang B H & Wang Z (2006). Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and Urban Planning 78(4): 322-333
Xu Y M, Liu Y H, Wei M & Lv J J (2007). Land cover classification of the Yangtze River Delta using MODIS data. Acta geographica sinica 62(6): 640-648
Yan X P, Mao J X & Pu J (2006). Research on the human dimensions of land use changes in the mega-urban region: A case study of the Pearl River delta. Acta Geographica Sinica 61(6): 613-623
Ye Q H, Liu G H, Tian G L, Chen S L, Huang C, Chen S P, Liu Q S, Chang J & Shi Y (2004). Geospatial- temporal analysis of land-use changes in the Yellow River Delta during the last 40 years. Science in China Series D-Earth Sciences 47(11): 1008-1024
Yu X X & Yang G S (2002). The advances and problems of land use and land cover change research in China. Progress in Geography 21(1): 51-57
Zhang H H, Zeng Y N, Zou B, Xiao P F, Hu D Y & Peng J C (2007). Quantitative analysis and simulation of land use changes in the Pearl River Delta, China. Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information doi:10.1117/12.761303
Zhang X, Sun R, Zhang B & Tong Q (2008). Land cover classification of the North China Plain using MODIS_ EVI time series. ISPRS Journal of Photogrammetry and Remote Sensing 63(4): 476-484
Zhang Y L, Nie Y & Lv X F (2008). Chinese literature analysis on land use research in China. Progress in Geography 27(6): 1-11
Zhou W C & Jiang X B (2000). Construction of information system of policy-making supporting for sustainable development of land resources in Sichuan, Yunan, Guizhou and Chongqing in China. Journal of Mountain Science 18(6): 536-540