Reconstruction of cropland change in North China Plain Area over the past 300 years

Wei, Xueqiong; Ye, Yu; Zhang, Qian; Li, Beibei; Wei, Zheng

doi:10.1016/j.gloplacha.2019.01.010

Cited by 30 publications

(20 citation statements)

References 31 publications

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“…All cropland cover data for 1690, 1750, 1810, 1875, 1910, 1930, 1950, 1980, and 1999 at a spatial resolution of 1 km are available at https://doi.org/10.1594/PANGAEA.926591 (Wei et al, 2021).…”

Section: Data Availabilitymentioning

confidence: 99%

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

Wei

Widgren

et al. 2021

Earth Syst. Sci. Data

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Abstract. Spatially explicit historical land cover datasets are essential not only for simulations of climate and environmental dynamics but also for projections of future land use, food security, climate, and biodiversity. However, widely used global datasets are developed for continental- to global-scale analysis and simulations. Their accuracy depends on the verification of more regional reconstruction results. This study collects cropland area data of each administrative unit (parish/municipality/county) in Scandinavia from multiple sources. The cropland area data are validated, calibrated, interpolated, and allocated into 1 km×1 km grid cells. Then, we develop a dataset with spatially explicit cropland area from 1690 to 1999. Results indicate that the cropland area increased from 1.82×106 ha to 6.71×106 ha from 1690 to 1950 and then decreased to 5.90×106 ha in 1999. Before 1810, cropland cover expanded in southern Scandinavia and remained stable in northern Scandinavia. From 1810 to 1910, northern Scandinavia experienced slight cropland expansion. The cropland area increased rapidly in the southern part of the study area before changing slightly. After 1950, the cropland areas began to decrease in most regions, especially in eastern Scandinavia. When comparing global datasets with this study, although the total Scandinavia cropland area is in agreement among SAGE (Center for Sustainability and the Global Environment), HYDE (History Database of the Global Environment ) 3.2, PJ (Pongratz Julia), and this study, the spatial patterns show considerable differences, except for in Denmark between HYDE 3.2 and this study. The dataset can be downloaded from https://doi.org/10.1594/PANGAEA.926591 (Wei et al., 2021).

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Section: Data Availabilitymentioning

confidence: 99%

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

Wei

Widgren

et al. 2021

Earth Syst. Sci. Data

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“…A typical challenge is the scarce data records, which is further aggravated by the lack of uniform standards in data surveys, and the changes in administrative boundaries that occurred before the 1960s. Many studies have focused on reconstructing historical cropland distribution in China and have produced cropland maps for a few intermittent years (Li et al, 2015(Li et al, , 2018Lin et al, 2009;Liu and Tian, 2010;Wei et al, 2019;Yang et al, 2016). Among all these datasets, the research of Yang et al (2015a, b) is prominent in providing reliable and relatively high-resolution (1 km) information on croplands in historical years using a "bottom-up" model equipped with the cellular automaton approach.…”

Section: Introductionmentioning

confidence: 99%

A historical reconstruction of cropland in China from 1900 to 2016

Jin

Miao

Yang

2021

Earth Syst. Sci. Data

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Abstract. A spatially explicit cropland distribution time-series dataset is the basis for the accurate assessment of biogeochemical processes in terrestrial ecosystems and their feedback to the climate system; however, this type of dataset is lacking in China. Existing cropland maps have a coarse resolution, are intermittently covered, or the data are inconsistent. We reconstructed a continuously covered cropland distribution dataset in China spanning from 1900 to 2016 by assimilating multiple data sources. In total, national cropland acreage expanded from 77.72 Mha in 1900 to a peak of 151.00 Mha in 1979, but it consistently decreased thereafter to 134.92 Mha in 2016. The cropland was primarily distributed in three historically cultivated plains in China: the Sichuan Plain, the Northern China Plain, and the Northeast China Plain. Cropland abandonment was approximately 43.12 Mha: it was mainly concentrated in the Northern China Plain and the Sichuan Plain and occurred during the 1990–2010 period. Cropland expansion was over 74.37 Mha: it was primarily found in the southeast, northern central, and northeast regions of China and occurred before 1950. In comparison, the national total and spatial distribution of cropland in the Food and Agriculture Organization (FAO) of the United Nations and the History Database of the Global Environment (HYDE) were distorted during the period from 1960 to 1980 due to the biased signal from the Chinese Agricultural Yearbook. We advocate that newly reconstructed cropland data, in which the bias has been corrected, should be used as the updated data for regional and global assessments, such as greenhouse gas emission accounting studies and food production simulations. The cropland dataset is available via an open-data repository (https://doi.org/10.6084/m9.figshare.13356680; Yu et al., 2020).

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“…Regional historical cropland area was generally counted by perpetual fixed administrative boundaries, and then it was allocated to the grids within the modern cropland distribution according to land suitability for cultivation of each grid ranked from high to low. However, the assumptions in global land cover datasets, and the allocation algorithms used, have been demonstrated to cause uncertainties or could potentially do so (Fang et al, 2020; Li et al, 2010; Li et al, 2019b; Wei et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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

Fang

Dan

et al. 2020

The Holocene

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To improve the accuracy of historical cropland data, we reconstructed cropland cover in the northern China’s farming–pastoral zone during the Liao dynasty using historical literature and settlement relics. We first reconstructed the total cropland area using historical household data based on the cropland area per household. Next, we allocated the cropland area into 5′ grid cells weighted by settlement density to generate a cropland data. Our main findings were as follows: (1) Data on settlement relics enabled not only the identification of ancient farming areas but also the allocation of cropland cover within high resolution grids in the study area. (2) In the flourishing period of the Liao dynasty, the total cropland area was 0.39 × 104 km2. The cropland grids comprised 28.30% of the total grids, with average and maximum values of cropland fractions of 6.61% and 31.18%, respectively. (3) Compared with our result, we found that the PJ overestimate the cropland area of the study area in 1100 AD, whereas the HYDE 3.2 underestimate it. The area of anthropogenic land use in KK 10 was larger than the cropland area in this study too. None of the three global datasets revealed the mosaic spatial distribution pattern of cropland cover in this study area. (4) The orders of land suitability for cultivation during the Liao dynasty and the present period were almost the identical, even in the farming–pastoral zone of northern China, which has fragile ecological environment.

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Reconstruction of cropland change in North China Plain Area over the past 300 years

Cited by 30 publications

References 31 publications

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

A historical reconstruction of cropland in China from 1900 to 2016

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

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Reconstruction of cropland change in North China Plain Area over the past 300 years

Cited by 30 publications

References 31 publications

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia

A historical reconstruction of cropland in China from 1900 to 2016

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

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Reconstruction of cropland change in North China Plain Area over the past 300 years