An Evaluation System for Arable Land Consolidation Potential and its Application in China

2013 ◽  
Vol 42 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Zhengfeng Zhang ◽  
Jinming Yan ◽  
Wenwu Zhao ◽  
Wei Zhao
2014 ◽  
Vol 955-959 ◽  
pp. 3962-3967
Author(s):  
Xiao Yi ◽  
Yin Ke

The research object of this paper is comprehensive land consolidation pilot area in DaLu Town of Chongqing. Establish based on the PSR framework arable land intensive use of the evaluation system, dynamic evaluation of urban land high efficient intensive utilization in the study area form 2008 to 2012. The results show: (1) Through comprehensive land consolidation, three indicators have improved to varying degrees. (2)Improve the maximum is state index, its index increased0.3335; Improve second multi is pressure index, its index increased0.1043; Improve minimum is respond index, its index increased0.1000.(3)Overall, the level of intensive arable land use showed an increasing trend in study area. Through comprehensive land consolidation, intensive arable land use level improves the range of 29.70%.


Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1296
Author(s):  
Xiaoliang Li ◽  
Kening Wu ◽  
Rui Zhao ◽  
Yanan Liu ◽  
Xiao Li ◽  
...  

Cultivated land production capacity (PC) is the basis for national food security. Health condition (HC) is an important parameter to indicate the ecological safety of arable land. The policy of “the trinity protection of quantity, quality, and ecology of cultivated land” is one of the important protection directions currently being implemented in China. However, the existing evaluation systems are diverse and overlapping, which mainly focus on the quality and production potential of cultivated land, with less attention paid to the health status and the relationship between them in China. In this study, a comprehensive PC evaluation system including factors such as climate, landform, soil, and utilization was constructed, and an HC evaluation system including internal and external factors was established to support the requirements of the trinity pattern protection policy. These new evaluation systems were applied in Gaoping city, China. The results showed that the average PC index was 1617.35 and ranged between 98.40 and 4321.53, with the largest area of the higher-grade accounting for 36.37% of the total cultivated land. The spatial distribution of PC showed a gradual decrease from the southwest to northeast regions. The average score of the HC of arable land in Gaoping was 79.86 and showed an increasing trend of low in the middle areas and high in the edge regions, which revealed the opposed spatial characteristics between human activity and health status. Approximately 2637.86 ha of the cultivated land was at the imbalance stage, indicating that this is where managers needed to focus. In general, the study offered a reference and a scientific basis for evaluating PC and HC and provided support information for sustainable cultivated land management.


Solid Earth ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 997-1006 ◽  
Author(s):  
J. Wang ◽  
A. Ge ◽  
Y. Hu ◽  
C. Li ◽  
L. Wang

Abstract. Traditionally, potential evaluation methods for farmland consolidation have depended mainly on the experts' experiences, statistical computations or subjective adjustments. Some biases usually exist in the results. Thus, computer-aided technology has become essential. In this study, an intelligent evaluation system based on a fuzzy decision tree was established, and this system can deal with numerical data, discrete data and symbolic data. When the original land data are input, the level of potential of the agricultural land for development will be output by this new model. The provision of objective proof for decision-making by authorities in rural management is helpful. Agricultural land data characteristically comprise large volumes, complex varieties and more indexes. In land consolidation, it is very important to construct an effective index system. A group of indexes need to be selected for land consolidation. In this article, a fuzzy measure was adopted to accomplish the selection of specific features. A fuzzy integral based on a fuzzy measure is a type of fusion tool. The optimal solution with the fewest non-zero elements was obtained for the fuzzy measure by solving a fuzzy integral. This algorithm provides a quick and optimal way to identify the land-index system when preparing to conduct land consolidation. This new research was applied to Shunde's "Three Old" consolidation project which provides the data. Our estimation system was compared with a conventional evaluation system that is still accepted by the public. Our results prove to be consistent, and the new model is more automatic and intelligent. The results of this estimation system are significant for informing decision-making in land consolidation.


2015 ◽  
Vol 7 (2) ◽  
pp. 1347-1374 ◽  
Author(s):  
J. Wang ◽  
A. Ge ◽  
Y. Hu ◽  
C. Li ◽  
L. Wang

Abstract. Traditionally, potential evaluation methods for farmland consolidation have depended mainly on the experts' experiences, statistical computations or subjective adjustments. Some biases usually exist in the results. Thus, computer-aided technology has become essential. In this study, an intelligent evaluation system based on a fuzzy decision tree was established, and this system can deal with numerical data, discrete data and symbolic data. When the original land data are input, the level of potential of the agricultural land for development will be output by this new model. The provision of objective proof for decision making by authorities in rural management is helpful. Agricultural land data characteristically comprise large volumes, complex varieties and more indexes. In land consolidation, it is very important to construct an effective index system. We needed to select a group of indexes useful for land consolidation according to the concrete demand. In this paper, a fuzzy measure, which can describe the importance of a single feature or a group of features, is adopted to accomplish the selection of specific features. A fuzzy integral that is based on a fuzzy measure is a type of fusion tool. We obtained the optimal solution for a fuzzy measure by solving a fuzzy integral. The fuzzy integrals can be transformed to a set of linear equations. We applied the L1-norm regularization method to solve the linear equations, and we found a solution with the fewest nonzero elements for the fuzzy measure; this solution shows the contribution of corresponding features or the combinations of decisions. This algorithm provides a quick and optimal way to identify the land index system when preparing to conduct the research, such as we describe herein, on land consolidation. Shunde's "Three Old" consolidation project provides the data for this work. Our estimation system was compared with a conventional evaluation system that is still accepted by the public. Our results prove to be consistent, and the new model is more automatic and intelligent. The results of this estimation system are significant for informing decision making in land consolidation.


2014 ◽  
Vol 955-959 ◽  
pp. 3957-3961
Author(s):  
Yin Ke

The research object of this paper is BiBei comprehensive land consolidation projects in Bishan County of Chongqing, analysis the land comprehensive consolidation impact on regional ecological service value. The results show: (1) Through comprehensive land consolidation, cultivated land and construction land increased, unused land decreased accordingly. (2) The ecosystem services value of arable land significant increase after comprehensive renovation; the ecosystem services value of garden and forest remain unchanged; the ecological services Value of unused land reduce. From profit or loss of individual services value in the ecological systems, gas regulation, water regulation, climate regulation, soil formation and protection, raw materials, biodiversity conservation, waste treatment, food production, entertainment and cultural and other functions have varying degrees of increase after land consolidation.(3) Overall, the ecosystem services value will increase after land consolidation. ecological construction of comprehensive land management model has changed the traditional purpose of comprehensive land management in order to achieve the balance of arable land only, indicates that in hilly areas, the ecological construction land comprehensive mode has changed the traditional mode of only in order to achieve the goal of arable land balance, enter in order to improve land productivity, improve agricultural ecological environment as the main target stage.


2020 ◽  
Vol 192 (2) ◽  
Author(s):  
Feipeng Li ◽  
Wei Liu ◽  
Zhibo Lu ◽  
Lingchen Mao ◽  
Yihua Xiao

AbstractThis study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with single-index evaluation systems (i.e., the IFI or soil cleanliness index), the proposed multi-criteria system better reflects the quality of the soil. In the practice of arable land requisition and subsidy policy, the proposed multi-criteria evaluation system not only encourages farmers to preserve arable lands during farming but also helps agricultural authorities make effective and reliable management decisions.


2018 ◽  
Vol 10 (9) ◽  
pp. 3102 ◽  
Author(s):  
Mengdi Zhang ◽  
Xiao Wang ◽  
Zengxiang Zhang ◽  
Xiaoli Zhao

Rural settlement land consolidation potential calculation is the basic work of land consolidation. An accurate potential is essential to rural development planners and policy makers as a project target or prediction. The traditional calculation methods include the per capita/household construction land method, idle rural residential land method, and comprehensive evaluation method. Though there have been some improvements, the potential for calculation methods on a national level is still limited. This article illustrates a new method for calculating the consolidation potential of rural settlement land, based on field data and the restructuring restrictions applicable to each rural land parcel in China. The field data was from Shandong Province because it lies within the country’s biggest grain-producing area with the largest distribution density of rural settlements. It is an excellent representative sample for rural settlement land consolidation, offering a microcosm of rural development in China. For the study’s comprehensive evaluation system, due to the lack of nationwide field survey data, the potential of Shandong Province was chosen as the standard value. We selected indicators concerning land resources, depopulation, transportation accessibility, local economic development, urbanization, and natural conditions to build an evaluation system. We then calculated the potential of each province according to their coefficients and field data from Shandong Province. Every province except Taiwan (for which no data were available) was divided into five zones for rural settlement land consolidation: the most-suitable zone, suitable zone, general zone, restricted zone, and most-restricted zone. The total rate of land consolidation is estimated at 0.24 for 2010 and forecast at 0.33 for 2020, while those years’ respective consolidation potentials are 32,777.92 km2 and 44,707.81 km2. The rate is the total rural settlement land before land consolidation divided by added cultivated land after consolidation. The higher the rate, more effective the land consolidation is.


Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 113 ◽  
Author(s):  
Xiaoliang Han ◽  
Peiyi Lv ◽  
Sen Zhao ◽  
Yan Sun ◽  
Shiyu Yan ◽  
...  

The Gully Land Consolidation Project (GLCP) was launched to create more arable land by excavating soil from the slopes on both sides of gullies, combined with simultaneous comprehensive gully prevention and control measures. The purpose of the GLCP is to increase crop production and reduce soil erosion to achieve ecological and agricultural sustainability. In this study, we assess the effects of the GLCP on soil erosion and crop production by studying the BaoChengGou Watershed in the Loess Plateau, primarily by means of high spatial-resolution satellite images (taken by the GF-1 and ZY-3 satellites) combined with the InVEST model and field investigations. Sloping cropland, sparse forestland, and natural grassland are the main land use types in the study area. After implementing the GLCP, consolidated land in the cropland increased by 7.35%, an increase that has come largely at the expense of grassland and forestland. The GLCP has markedly reduced soil erosion in the BaoChengGou Watershed, especially in the sense that soil erosion intensity was also reduced significantly in the project region on the whole, despite intensifying in certain places, such as excavated slopes; furthermore, it has improved crop yields in the study area by 10.9%. Comprehensive measurement shows the GLCP to be scientific, reasonable, and clearly efficacious. This study presents findings regarding the positive significance of the GLCP in promoting ecological and agricultural sustainability in the Loess Plateau.


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