China Land Consolidation and Rehabilitation

Beijing, China

China Land Consolidation and Rehabilitation

Beijing, China
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Chen Y.,China Agricultural University | Zhang C.,China Agricultural University | Yang J.,China Agricultural University | Shen L.,China Agricultural University | And 3 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2010

The purpose of this paper is to provide foundation for the comprehensive land consolidation planning by studying the scientific evaluation method of the land consolidation potential (LCP). Based on the characteristics of rural residential areas on the southeast coast of China, an indicator system was built from five aspects to evaluate the land consolidation potential, from which a screening indicator and a overall control indicator were selected. An approach which made a combined use of screening method, multi-factors method and the overall control method were proposed. Then the result of evaluation was represented at three levels. Finally, the approach was verified by a case study of Gaoyou, Jiangsu Province. The approach which stresses the dominate action of important indicators can evaluate the LCP comprehensively and effectively. It can provide references for other LCP evaluation cases at city and county levels.


Chen Y.,China Agricultural University | Chen Y.,Key Laboratory for Agricultural Land Quality | Yang J.,China Agricultural University | Yang J.,Key Laboratory for Agricultural Land Quality | And 8 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2014

The results of cultivated land quality gradation are made of the results of county, provincial, national levels. The results at the provincial level are integrated by the results at the county level. Provincial integration is an essential link in cultivated land quality grading work. The traditional provincial integration methods excessively depend on the provincial integration base map, which makes the integration efficiency low. Moreover, the quality of integration work completely depends on the quality of integration base map. Based on these defects, this paper comes up with a method that uses the grid instead of the integration base map. In provincial integration work, we need to build traceability relation between county units and provincial units. It requires all county units can find provincial units and all provincial units have their corresponding county units. Moreover, there is a principle we have to abide by: the ownership, the land type and the grade should be coincident between the county units and corresponding provincial units. That is "ownership-land type-grade" coincident principle. The purpose of this method is to make spatial distribution of provincial cultivated land quality is similar to that of the county when abiding by this principle. First we need to classify the county results according to "ownership-land type-grade". Then we determine the corresponding grid category according to the area dominant principle. Through the spatial nearest neighboring method, we find the grid unit closest to the unit at the county level to build "Grid-County grading unit" relations. But maybe there are some categories which can't be found in the provincial grids. Based this situation, the barycenter of the missing category was firstly calculated, then an uncultivated area grid closest to the barycenter was searched out, and lastly this grid was marked as the missing category. The grid coding method proposed in this paper stipulates that grid code is formed by county's administrative code, the grid rank, quality gradation and land class code. The length of the code is 21. At last, this paper uses the mean center and standard deviational ellipse to test the similarity of the spatial distribution of cultivated land before and after integration. This paper takes Daxing district, Bejing as a study area. By "ownership-land type-grade", there are 8 categories in Daxing. According to the distribution of cultivated land in Daxing district, 688 valid cultivated land grids were finally determined. Using the method in this article, we completed the integration at the provincial level for Daxing. After test, it showed that the difference of mean center between provincial grid results and county results is only 405.6 m, and the difference of distribution direction is only 0.34°, which means that this method can ensure the consistency of spatial distribution of cultivated land at different levels. Compared with the method which depends on the integration base map, the method based on grid doesn't make base map, reduces workload and improves work efficiency. This method orientates the provincial cultivated land into each grid and codes for these grids. Through grid code, we can quickly search cultivated land quality in the corresponding position, which is very convenient for both management and application. ©, 2014, Chinese Society of Agricultural Engineering. All right reserved.


Shen L.,China Agricultural University | Shen L.,Key Laboratory for Agricultural Land Quality | Zhang C.,China Agricultural University | Zhang C.,Key Laboratory for Agricultural Land Quality | And 12 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2012

In order to scientifically calculate the difficulty coefficient of farmland construction and reasonably determine the priorities of the consolidation units, an indicator system of the farmland consolidation priorities evaluation was constructed. Taking Baoying county, Jiangsu province as an example, the system was based on the study of land use character, with regular grids as evaluation unit, and was from five influencing aspects including land use structure, spatial pattern of farmland, improvable production capacity, soil environmental quality, social population factor on research unit of regular grid. The farmland consolidation priorities of the study area were calculated with 532 grid units of evaluation which were divided by 1' × 1' latitude and longitude grid. Based on the consolidation priorities, the study area were classified into three classes: short term, medium term and long term grid unit, whose ratio was 26%, 35% and 39%, respectively. The long term grids distributed in the central and plain area of southern Baoying county, where had better characters of farmland spatial pattern, low fragmentation degree and better farmland qualities. The results demonstrated that the method proposed in this paper was helpful to determine the farmland consolidation priorities and clarified the priority consolidation areas and directions. This research provides support and scientific reference for regional farmland consolidation planning and high standard basic farmland construction at county level.


Zhang Z.,Renmin University of China | Yang H.,China Land Consolidation and Rehabilitation | Gu X.,Zhejiang GongShang University
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2011

In China, land consolidation projects are often associated with government-funded engineering works which have wide and profound impacts on the region ecosystem and socioeconomic system. Analysis of the changes caused by land consolidation projects and theirs impacts could improve the methodological principles underlying land consolidation, and also support the decision-making processes of the land consolidation authorities. In this paper, a land consolidation project (LCP) in Tianmen city of Hubei province in central China was evaluated by the GIS techniques, comprehensive index model and ecosystem service value evaluation methods, focusing on the changes of the plot size and shape, the density and connectivity of field-roads and irrigation systems, the area of cropland and the land use type before and after the application of LCP. The LCP showed both positive and negative effects on the region ecosystem and socioeconomic system in the study area. The value of agricultural productivity index was increased from 41.06 to 76.86. The tillage time was decreased from 65 min/hm2 to 50 min/hm2, with a decrease rate of 23.08%. The numbers of plots per household was decreased from 2.69 to 1.25, which reducing the moving time of farmers between plots. Moreover, the total value of ecosystem services in the study area was decreased from 12.26 × 106 Yuan to 11.62 × 106 Yuan annually with a decrease of 0.64 million Yuan, due to the decreased area of ponds and unused lands.


Zhang Z.,Renmin University of China | Yang H.,China Land Consolidation and Rehabilitation | Gu X.,Zhejiang GongShang University
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2013

The implementation of various engineering measures have an impact on plots in the land consolidation areas. Quantitative assessment of the effect of land consolidation on plots not only can improve the land consolidation theory, but also can provide a basis for the optimization of planning design for land consolidation projects. In this paper, land consolidation affected plots are examined from four aspects, including plot scale, plot shape, plot space and plot farming efficiency. We selected a land consolidation project in Maoshi Town of Jianli County in Hubei Province, and a land consolidation project for a low hill area in Lanjiagang Village in Laohe City of Hubei Province as typical representatives of plain and hill land consolidation projects, respectively. Quantitative assessment of the effect of land consolidation in the two areas on plots, and comparison analysis was conducted. The results showed that the land consolidation had similar effects on plots in the two project regions. The results indicated as follows: (1) The plot size was expanded, the small-scale plots merged, and the plots were relatively uniform after consolidation. The average plot size in the plain land consolidation project increased from 5.82 to 7.28 hm2, and that in the hill land consolidation project increased from 2.75 to 5.13 hm2. (2) The shape of the plots were more regular through division, the geometry similarities of plots were enhanced, and the interference of human on the land increased after consolidation. The plot shape index in the plain land consolidation project decreased from 1.2381 to 1.1924, and that in the hill land consolidation project decreased from 1.4519 to 1.4496. The fractal dimension in the plain land consolidation project decreased from 1.0568 to 1.0479, and that in the hill land consolidation project decreased from 1.0572 to 1.0567. (3) The plots transformed from discrete small plots with a high number before consolidation into highly-connected large plots with a low number after consolidation increased, and the plots tended to concentrate distribution. (4) The plot farming efficiency increased after consolidation. The average farming time in the plain land consolidation project decreased from 57 to 45 min/hm2, and that in the plain land consolidation project decreased from 62 to 48 min/hm2.

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