A spatially explicit reconstruction of cropland cover in China around 1850 C.E. employing new land suitability based gridded allocation algorithm

Zhang, Chengpeng; Fang, Xiuqi; Ye, Yu; Tang, Chanchan; Wu, Zhilei; Zheng, Xue; Zhang, Diyang; Chang, Jiang; Li, Jun; Li, Yikai; Zhao, Zhilong

doi:10.1016/j.quaint.2022.06.001

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…Land 2024, 13, x FOR PEER REVIEW 3 of 21 physiogeographic factors for the study area and using the new cropland gridded allocation algorithm based on land suitability employed by Zhang et al [44], a cropland cover dataset covering Taiyuan City with a resolution of 1 km × 1 km is produced. Moreover, we analyze the key turning points of changes in cropland areas and the spatial distribution changes of cropland.…”

Section: Study Areamentioning

confidence: 99%

“…To avoid the exponential scaling effect and oversaturated allocation of cropland caused by a simple multiplication of all factors in a gridded allocation algorithm, the approach provided by Zhang et al [44] is used to calculate the land suitability (the interval is 0-1) as Formula (3):…”

Section: Cropland Area Allocation (1) Selection Of Driving Factorsmentioning

confidence: 99%

“…Based on historical gazetteers, the survey data, and statistics sources, the county-level cropland areas in nine time points during 1650-1980 are reconstructed. Then, by selecting physiogeographic factors for the study area and using the new cropland gridded allocation algorithm based on land suitability employed by Zhang et al [44], a cropland cover dataset covering Taiyuan City with a resolution of 1 km × 1 km is produced. Moreover, we analyze the key turning points of changes in cropland areas and the spatial distribution changes of cropland.…”

Section: Introductionmentioning

confidence: 99%

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Reconstruction of Spatial–Temporal Changes in Cropland Cover from 1650 to 1980 in Taiyuan City

Li,

Wei,

2023

Land

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As a crucial component of studies on land use and cover change (LUCC), the reconstruction of historical cropland cover is important for assessing human impact on the environment. This study collects cropland records of each county in Taiyuan City based on historical documents, agricultural statistics, and survey data such as the Gazetteers, Agriculture and Commercial Statistics Table and Datasets of Land and Resources of China. The cropland area at the county level from 1650 to 1980 is determined by revising, correcting, and extrapolating the obtained historical records. By assessing the driving physiogeographic factors for the distribution of cropland through GeoDetector, we establish a land suitability-based gridded allocation model. The cropland areas at the county level are allocated into 1 km × 1 km grid cells. Our results indicated the following. (1) The total cropland area increased since the Qing Dynasty, reaching its maximum value in 1937, after which it declined due to the impact of urbanization after 1937. (2) In terms of the spatial distribution patterns of cropland, from 1650 to 1980, the cropland was mainly distributed in the Fenhe River Valley Plain, and the cropland expanded from the center to the south after 1952. (3) Comparing the reconstruction results for 1980 with the 1 km resolution satellite-based cropland cover data, differences of most (95.77%) grids are between −20% and +20%, comparing the HYDE3.2 dataset with our results. The HYDE3.2 dataset is distinctly lower than our datasets, and the grids with large differences are mainly in the central and southern parts of the study area, especially in the Qing Dynasty. Our reconstruction could evaluate the accuracy of the global dataset when applied to regional areas and serve as base data in studying historical climate change.

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Section: Study Areamentioning

confidence: 99%

Section: Cropland Area Allocation (1) Selection Of Driving Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reconstruction of Spatial–Temporal Changes in Cropland Cover from 1650 to 1980 in Taiyuan City

Li,

Wei,

2023

Land

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“…The detailed construction procedure of this weight can be found in the Supplemental Material, available online. Compared with land suitability weights in other historical cropland datasets, this weight sufficiently considered the influence degree of multiple physiogeographic factors on the cropland distribution, and adopted the n-th root algorithm to effectively eliminate the exponential effect caused by simple multiplication of multi-factors (Zhang et al, 2022a).…”

Section: Data Sourcesmentioning

confidence: 99%

Reconstruction of cropland cover using historical literature in Northern China, Sui Dynasty, AD 609

Wang

Zhang

et al. 2022

The Holocene

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Reconstruction of historical cropland cover is not only essential for studying agricultural development in historical periods, but also provides the basic data for long-term global and climatic change simulations. However, reconstructing the amount and spatial distribution of cropland prior to the past millennium remains challenging because of incomplete data and the suitability of the allocation method. Based on the household census and cropland demand per household data, which was calculated from grain consumption per household and crop yield per unit area, this study estimated the prefecture-level cropland area in northern China in AD 609 during the Sui dynasty. Then, a cropland allocation model based on natural land suitability for cultivation was used to reconstruct the spatial distribution of cropland in 5′ × 5′ grid cells. The results were as follows: (1) the cropland area in northern China in AD 609 was 1.77 × 105 km2, with an average cropland area fraction of 10.04%. (2) The cropland was continuously distributed in the North China Plain, Guanzhong Plain, Fenhe Valley and central Shangdang and Changping on the Loess Plateau, resulting in a high cropland agglomeration area appearing in those regions. While it is scattered in the northern Loess Plateau and the Hexi Corridor. (3) Compared with our reconstruction, the HYDE dataset underestimated the cropland area in plains except for riverine areas and overestimated the cropland area in the hills and mountainous areas along the border. (4) This discrepancy was primarily derived from population differences and the divergent cropland allocation methods between the two datasets.

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Gridded reconstruction of cropland cover changes in Northeast China from AD 1000 to 1200

Jia,

Fang,

2023

Reg Environ Change

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A spatially explicit reconstruction of cropland cover in China around 1850 C.E. employing new land suitability based gridded allocation algorithm

Cited by 9 publications

References 42 publications

Reconstruction of Spatial–Temporal Changes in Cropland Cover from 1650 to 1980 in Taiyuan City

Reconstruction of Spatial–Temporal Changes in Cropland Cover from 1650 to 1980 in Taiyuan City

Reconstruction of cropland cover using historical literature in Northern China, Sui Dynasty, AD 609

Gridded reconstruction of cropland cover changes in Northeast China from AD 1000 to 1200

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