Reconstruction of cropland cover changes in the Shandong Province over the past 300 years

Ye, Yu; Wei, Xueqiong; Fan, Li; Fang, Xiuqi

doi:10.1038/srep13642

Cited by 17 publications

(12 citation statements)

References 15 publications

(15 reference statements)

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“…Moreover, the accuracy of the classification production was relatively low due to the resolutions and methods of remote image classifications used in previous studies. In addition, for medium resolution global products (such as the GlobeLand30 product), the accuracy of these global datasets-when applied at regional scales-is uncertain (Ye et al, 2015). Until now, the Korean Peninsula does not have accurate cropland maps in different periods at medium spatial resolution (Chao et al, 2010;Hong et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990–2015

Zhang

Wang

2018

Chin. Geogr. Sci.

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Studies on long-term change of cropland is of great significance to the utilization of land resources and the implementation of scientific agricultural policies. The Korean Peninsula, adjacent to China, plays an important role in the international environment of Northeast Asia. The Korean Peninsula includes South Korea and North Korea-two countries that have a great difference in their institutions and economic developments. Therefore, we aim to quantify the spatiotemporal changes of croplands in these two countries using Landsat Thematic Imager (TM) and Operational Land Imager (OLI) imagery, and to compare the differences of cropland changes between the two countries. This paper take full advantage of ODM approach (object-oriented segmentation and decision-tree classification based on multi-season imageries) to obtain the distribution of croplands in 1990 and 2015. Results showed that the overall classification accuracy of cropland data is 91.10% in 1990 and 92.52% in 2015. The croplands were mainly distributed in areas with slopes that were less than 8° and with elevations that were less than 300 m in the Korean Peninsula. However, in other region (slope > 8° or elevation > 300 m), the area and proportion of North Korea's croplands were significantly higher than that of South Korea. Croplands significantly increased by 15.02% in North Korea from 1990 to 2015. In contrast, croplands in South Korea slightly decreased by 1.32%. During the 25 years, policy shift, economic development, population growth, and urban sprawl played primary roles for cropland changes. Additionally, the regional differences of cropland changes were mainly due to different agriculture policies implemented by different countries. The achievements of this study can provide scientific guidance for the protection and sustainability of land resources.

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Section: Introductionmentioning

confidence: 99%

Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990–2015

Zhang

Wang

2018

Chin. Geogr. Sci.

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“…Meanwhile, the difference level of cultivation rate was characterized by subtracting the reconstruction results from Ye et al (2015)'s results, and therefore it could be divided into 5classes, which is Ⅺ, Ⅰ, Ⅱ, Ⅲ and Ⅳ type, respectively. For exemple, Ⅺ type represents that this study have same level of cultivation rate withYe et al (2015)' s in a county, and I, Ⅱ, Ⅲ, Ⅳ type is one, two, three, and four grade difference in each other, respectively. The results are shown in31 Table 6.Note: a represents Ye et al (2015)'s results; b is the result of this study; c is the difference level of cultivation rate.…”

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confidence: 99%

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Yang

Jin

et al. 2016

Global and Planetary Change

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To advance the research of global land use/cover change (LUCC), biodiversity, global carbon cycle, and other aspects of the earth system, it is essential to reconstruct changes in historical cropland cover with long time series and high-resolution grid. Currently, it is a general approach which is based on the view of combining the overall control of cropland area, selecting grid of high land suitability, and 'top-down' decision-making behaviors to reconstruct the historical cropland. Considering various factors that influenced cropland distribution, including behavioral agent's selection by itself and the limitation of nature and human factors, a spatiotemporal dynamical reconstruction model of historical cropland based on the multi-agent systems has been developed from the perspective of 'bottom-up', which combine macroscopic and microscopic decision-making behaviors of agents to simulate the government and farmer autonomously implementing the selection behaviors of farming area. Taking Shandong Province as the study area, this model was used to imitate its cropland spatiotemporal pattern with 1km grid-resolution from 1661 combining the contemporary pattern and reconstructed amount of historical cropland as a maximum potential scope and control variable of reconstruction model, respectively, furthermore, followed the accuracy valuation and comparative analysis. The reconstructed results show that: 1) It is properly suitable for Multi-Agent to simulate and reconstruct the spatial distribution of historical cropland; 2) Compared with historical map datasets (1930s) from the view of point to point, the correctly classified producer accuracy, user accuracy and overall accuracy of reconstructed result totally up to 59.09%, 80.62% and 62.31%,

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“…(1) Y = 1.444x, R 2 = 0.843; (x = laborer in the 17th century; Y = laborer in the 18th century) (2) Y = 0.461x, R 2 = 0.869; (x = laborer in the 18th century; Y = households in the 19th century) (3) Y = 1.14x, R 2 = 0.802; (x = household in the 19th century, Y = household in the 20th century). According to the above data for labor, household, and cropland area [34] in each county in Shandong during the 17th-20th century, by the equations of 1 Hu = 2-3 Ding, 1 Hu = 5-6 person the labor/household density and cropland area per capita in the four time-sections were calculated and spatially analyzed using the inputs of 1 Hu = 2-3 Ding and 1 Hu = 5-6 people (Figures 3 and 4). To represent the social vulnerability from the perspective of food security, we used 0.05 ha as the basic unit of division referring to the warning line of cropland area per capita (0.053 ha) put forward by Food and Agriculture Organization of United Nations (FAO) [35].…”

Section: Sources and Processing Of Population Datamentioning

confidence: 99%

Social Vulnerability Assessment by Mapping Population Density and Pressure on Cropland in Shandong Province in China during the 17th–20th Century

Wei

Fang

et al. 2017

Sustainability

Self Cite

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Cropland area per capita and pressure index on cropland are important parameters for measuring the social vulnerability and sustainability from the perspective of food security in a certain region in China during the historical periods. This study reconstructed the change in spatial distribution of cropland area per labor/household and pressure index on cropland during the 17th-20th century by using historical documents, regression analysis, pressure index model, and GIS (geographic information system). Following this, we analyzed the impacting process of climate change and sustainability of cropland use during the different periods. The conclusions of this study are as follows: (i) there was an obvious spatial difference of labor/household density, as there was higher density in three agricultural areas, which had the same pattern as cropland distribution during the same periods; (ii) Cropland area per capita was relatively higher during the 17th-18th century, which were above 0.4 ha/person in the majority of counties and were distributed homogenously. Until the 19th century and the beginning of 20th century, cropland area per capita in a considerable proportion of regions decreased below 0.2 ha/person, which embodies the increase in social vulnerability and unsustainability at that time; (iii) The pressure index on cropland also showed a spatial pattern similar to cropland area per capita, which presented as having a lower threshold than nowadays. During the 17th-18th century, there was no pressure on cropland. In comparison, in the 19th century and at the beginning of 20th century, two high-value centers of pressure index on cropland appeared in the Middle Shandong and the Jiaodong region. As a result, pressure on cropland use increased and a food crisis was likely to have been created; (iv) A higher extent of sustainable cropland use corresponded to the cold period, while a lower extent of sustainable cropland use corresponded to the warm period in Shandong over the past 300 years. The turning point of the 1680s from dry to wet was not distinctively attributed to the decrease in the extent of sustainable cropland use in Shandong. Since the beginning of the 20th century, the increasing pressure on the sustainability of cropland use finally intensified the social conflict and increased the probability of social revolts.

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Reconstruction of cropland cover changes in the Shandong Province over the past 300 years

Cited by 17 publications

References 15 publications

Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990–2015

Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990–2015

Multi-agent model-based historical cropland spatial pattern reconstruction for 1661–1952, Shandong Province, China

Social Vulnerability Assessment by Mapping Population Density and Pressure on Cropland in Shandong Province in China during the 17th–20th Century

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