Determinants of cultivated land recuperation in ecologically damaged areas in China

Lu, Hua; Xie, Hualin; Lv, Tiangui; Yao, Guanrong

doi:10.1016/j.landusepol.2018.10.052

Cited by 58 publications

(31 citation statements)

References 16 publications

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“…In China, land fallowing is a new phenomenon that has emerged in recent years, although it remains unpopular due to the huge pressure for food security. Most fallowed land is uncultivated for one year [11,12].…”

Section: Introductionmentioning

confidence: 99%

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Song

2019

Sustainability

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In recent years, with the unceasing acceleration of China's urbanization and rapid development of the country's economy, cropland abandonment has become an ongoing issue, especially in mountainous areas. Mapping abandoned cropland using remote sensing technology is still challenging due to the difficulties in distinguishing abandoned cropland from fallowed land. In addition, there are few credible approaches to map timing and recultivation of abandoned cropland. In this context, this research developed an annual land-use trajectory approach to map different types of abandoned cropland based on freely available Landsat and HJ-1 satellite images with a spatial resolution of 30 m. Based on this method, five types of cropland change, including one type of fallowed land and two types of abandoned land, were identified in a mountainous town of China (Zhongduo). In addition, the timing and recultivation of abandoned cropland were assessed. The accuracy of the abandonment map was assessed as high as 86.67%. It was found that the percentages of spontaneous abandoned, induced abandoned, fallowed, stable, and lost cropland in Zhongduo were 23.16%, 8.40%, 13.69%, 27.84%, and 26.91% from 2012 to 2017, respectively. The average time for spontaneously abandoned cropland was 3.45 years. Furthermore, 50.54% of the spontaneously abandoned cropland and 12.91% of induced abandoned cropland were recultivated due to fluctuating prices of agricultural products and materials, and the implemented land transfer policy.

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Section: Introductionmentioning

confidence: 99%

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Song

2019

Sustainability

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“…Under the policy of "fallow in winter wheat season and rainfed in rainy season", which aimed to reduce the winter wheat planting area [12,17], the cultivated area of spring peanut (or early sowing peanut, planting during early April to late May) increased steadily. Contrast to the fixed sowing dates (5 June to 20 June, planting after winter wheat) of summer peanut, spring peanut can be planted over a considerable part of the season under suitable conditions in the NCP.…”

Section: Introductionmentioning

confidence: 99%

Agricultural Policy Environmental eXtender (APEX) Simulation of Spring Peanut Management in the North China Plain

et al. 2019

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Spring peanut is a valuable alternative crop to mitigate water scarcity caused by excessive water use in conventional cropping systems in the North China Plain (NCP). In the present study, we evaluated the capability of the Agricultural Policy Environmental eXtender (APEX) model to predict spring peanut response to sowing dates and seeding rates in order to optimize sowing dates, seeding rates, and irrigation regimes. Data used for calibration and validation of the model included leaf area index (LAI), aboveground biomass (ABIOM), and pod yield data collected from a field experiment of nine sowing dates and seeding rate combinations conducted from 2017 to 2018. The calibrated model was then used to simulate peanut yield responses to extended sowing dates (5 April to 4 June with a 5-day interval) and seeding rates (15 plants m −2 to 50 plants m −2 with a 5 plants m −2 interval) using 38 years of weather data as well as yield, evapotranspiration (ET), and water stress days under different irrigation regimes (rainfed, one irrigation before planting (60 mm) or at flowering (60 mm), and two irrigation with one time before planting and one time at flowering (60 mm each time) or at pod set (60 mm each time)). Results show that the model satisfactorily simulates pod yield of peanut based on R 2 = 0.70, index of agreement (d value) being 0.80 and percent bias (PBIAS) values ≤4%. Moreover, the model performed reasonably well in predicting the emergence, LAI and ABIOM, with a R 2 = 0.86, d = 0.95 and PBIAS = 8% for LAI and R 2 = 0.90, d = 0.97 and PBIAS = 1% for ABIOM, respectively. Simulation results indicate that the best combination of sowing dates and seeding rates is a density of 35-40 plants m −2 and dates during early-May to mid-May due to the influence of local climate and canopy structure to the growth and yield of peanut. Under the optimal sowing date and plant density, an irrigation depth of 60 mm during flowering gave a pod yield (5.6 t ha −1 ) and ET (464 mm), which resulted in the highest water use efficiency (12.1 kg ha −1 mm −1 ). The APEX model is capable of assessing the effects of management practices on the growth and yield of peanut. Sowing 35-40 plants m −2 during early-May to mid-May with 60 mm irrigation depth is the recommended agronomic practice for peanut production in the water-constrained NCP.

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“…Traditionally, the reference data can be acquired from a field survey. When the field survey data is lacking, the satellite images with a very high resolution can be utilized to provide reference data [65,66]. In this research, we mapped the land use of Tongzhou in 1972 and 1991 using satellite images with a spatial resolution of 2m and 3m, respectively.…”

Section: Validationmentioning

confidence: 99%

Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China

Song

2019

Sustainability

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Settlement expansion caused by urbanization is an important factor leading to the loss of arable land across the world. Due to various factors in China, such as institutional problems, the total number of rural settlements is decreasing, while the total area continues to increase. Rural settlements expand mainly into arable land, resulting in a significant loss of high-quality farmland, thus threatening long-term food security. However, research on this subject is relatively scarce. In this study, using KeyHole and RESURS F1 satellite remote sensing images, we examined the spatial expansion of rural settlements in Tongzhou District, Beijing, in 1972 and 1991. Then, the consumption of high-quality arable land by rural settlements expansion was assessed. It was found that the overall accuracy of the produced maps for 1972 and 1991 were 93% and 90%, respectively. The accuracy of mapped changes from 1972 to 1991 was as high as 90%. From 1972 to 1991 and from 1991 to 2015, the rural settlements in Tongzhou District expanded by 51.54% and 79.91% respectively, with 53.72% and 60.64% of the expanded rural settlements being on arable land. Rural settlements expanded mainly into high-quality arable land at the beginning of the study period, whereas later on, medium- and low-quality farmland was also occupied, albeit to a lesser degree.

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Determinants of cultivated land recuperation in ecologically damaged areas in China

Cited by 58 publications

References 16 publications

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Mapping Cropland Abandonment in Mountainous Areas Using an Annual Land-Use Trajectory Approach

Agricultural Policy Environmental eXtender (APEX) Simulation of Spring Peanut Management in the North China Plain

Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China

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