Reconstruction of cropland cover using historical literature and settlement relics in farming areas of Shangjing Dao during the Liao Dynasty, China, around 1100 AD

Wu, Zhilei; Fang, Xiuqi; Dan, Jia; Wan-yi, Zhao

doi:10.1177/0959683620941293

Cited by 17 publications

(6 citation statements)

References 44 publications

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“…Secondly, according to Wu et al [37,38], a grid with higher land suitability for cultivation need not be planted with crops first. Therefore, they devise a new method for cropland gridded allocation that uses settlements to denote the location and chronological sequence of human cultivation activities.…”

Section: Uncertaintiesmentioning

confidence: 99%

“…For instance, Ye et al [36] used a multi-sourced data conversion model and documented data calibration to reconstruct the changes in cropland cover at the county level in northeast China over the past 300 years. Wu et al [37,38] introduced an allocation model based on the settlement density for historical cropland cover and reconstructed the spatial cropland patterns in farmland areas of Shangjing Dao in northeast China during the Liao Dynasty around 1100AD and in Jilin Province over the past 300 years with a resolution of 5 × 5 . Wei et al [39] provided the cropland area datasets at a 10 km × 10 km grids scale for seven time points from the late 17th century to 2008 in the North China Plain Area.…”

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 This study collects cropland records of each county in Taiyuan City based on historical documents, agricultural statistics, and survey data such as the Gazetteers, Agriculture and Commercial Statistics Table and Datasets of Land and Resources of China.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: Uncertaintiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Li,

Wei,

2023

Land

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“…In addition, the grid formulation rules will affect model performance. In a related study, the researcher formulated the principle of maximum area and the principle of land priority degree [41,42], which could be used to reasonably allocate land for the grid within the study area. The mapping accuracy may vary depending on the principles of cropland allocation [43,44].…”

Section: Factors Affecting the Efficiency Of Cropland Big Data Fusion...mentioning

confidence: 99%

A Big Data Grided Organization and Management Method for Cropland Quality Evaluation

Miao,

Wang,

Huang

et al. 2023

Land

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A new gridded spatio-temporal big data fusion method is proposed for the organization and management of cropland big data, which could serve the analysis application of cropland quality evaluation and other analyses of geographic big data. Compared with traditional big data fusion methods, this method maps the spatio-temporal and attribute features of multi-source data to grid cells in order to achieve the structural unity and orderly organization of spatio-temporal big data with format differences, semantic ambiguities, and different coordinate projections. Firstly, this paper constructs a dissected cropland big data fusion model and completes the design of a conceptual model and logic model, constructs a cropland data organization model based on DGGS (discrete global grid system) and Hash coding, and realizes the unified management of vector data, raster data and text data by using multilevel grids. Secondly, this paper researches the evaluation methods of grid-scale adaptability, and generates distributed multilevel grid datasets to meet the needs of cropland area quality evaluation. Finally, typical data such as soil organic matter data, road network data, cropland area data, and statistic data in Da’an County, China, were selected to carry out the experiment. The experiment verifies that the method could not only realize the unified organization and efficient management of cultivated land big data with multimodal characteristics, but also support the evaluation of cropland quality.

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“…To improve these LUCC datasets, the PAGES (Past Global Changes) LandCover6k working group has proposed paying closer attention to the socio-cultural factors, putting them on par with the physical environment in terms of importance [19]. In recent studies, researchers have used settlements or settlement relics as indicators of socio-cultural effects to reconstruct the historical LUCC [23][24][25][26][27]. Compared with the global historical LUCC datasets, these studies, using settlements or settlement relics, were able to obtain more accurate and reliable spatiotemporal patterns of historical LUCC [24], especially at regional scales [26,27].…”

Section: Introductionmentioning

confidence: 99%

“…In recent studies, researchers have used settlements or settlement relics as indicators of socio-cultural effects to reconstruct the historical LUCC [23][24][25][26][27]. Compared with the global historical LUCC datasets, these studies, using settlements or settlement relics, were able to obtain more accurate and reliable spatiotemporal patterns of historical LUCC [24], especially at regional scales [26,27]. A spatially explicit reconstruction of deforestation based on settlements in more areas can provide needed insight into the socio-cultural effects on historical LUCC.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Agriculture-Driven Deforestation in Western Hunan Province of China during the 18th Century

Fang

et al. 2022

Land

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Reconstruction of historical deforestation helps to understand the dynamics of forest cover change and provides a basis for the further study of human-nature interactions over the long term. Significant agriculture-driven deforestation occurred in the 18th century in China due to its socio-cultural transformation. To understand this deforestation during the 18th century, we took typical counties in western Hunan as a case study area and reconstructed the settlements’ expansion and densification as indicators of socio-cultural factors. We then reconstructed the agricultural land expansion and agriculture-driven deforestation based on these settlements. The results showed that the agricultural land area increased by 40.4% from the early to the late 18th century, while the proportion of forest area covering the region decreased from 78.0% to 69.1%. Meanwhile, agriculture-driven deforestation mainly unfolded in the eastern and western parts of the region at relatively low elevation in the early 18th century, and this mainly happened in the middle of the region lying at relatively high elevation in the late 18th century. This study’s results provide an improved spatial resolution for the reconstruction of historical land use/cover change, thus enabling insights to be gained from a more detailed spatiotemporal pattern of historical deforestation trends. This study helps to understand the anthropogenic land cover change on a larger spatiotemporal scale through a regional case study.

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Reconstruction of cropland cover using historical literature and settlement relics in farming areas of Shangjing Dao during the Liao Dynasty, China, around 1100 AD

Cited by 17 publications

References 44 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

A Big Data Grided Organization and Management Method for Cropland Quality Evaluation

Reconstruction of Agriculture-Driven Deforestation in Western Hunan Province of China during the 18th Century

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