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Coupling Process and Decoupling Analysis of Agricultural Development and Resource-environment in Beijing
LIU Yu, TANG Linnan, PAN Yuchun
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (3): 539-545.   DOI: 10.13209/j.0479-8023.2020.013
Abstract738)   HTML    PDF(pc) (1212KB)(82)       Save
Based on the perspective of sustainable agricultural development, this study systematically discusses the spatial-temporal evolution characteristics, coupling and decoupling process of agricultural development and resource-environment in Beijing since 2005. The results are as follows. 1) From 2005 to 2017, Beijing’s agricultural development first strengthens and then weakens. The development characteristics of economic output are similar to those of agricultural development; the indexes of agricultural social development first decreases rapidly and then slowly increases, but generally showing a weakening trend; the industrial modernization continues to improve. 2) The pressure of agricultural resources and environment strengthens first and then abates. The change trend of the resource carrying and consumption indexes are the same as that of the pressure index, and the influence on the pressure index of agricultural resources and environment is obvious; the environmental pollution index decreases year by year. 3) There has been a dynamic evolution from “the most unfavorable state→the ideal state→the relatively optimistic state” between the pressure of resources and environment and the development of agriculture in the city, with coexistence of decoupling and coupling states and the decoupling state as the main one. In the process of agricultural sustainable transformation and upgrading in future, it is necessary to emphasize the ecological development of agriculture and its multi-functional value excavation and to promote its orderly balance with resources and environment.
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Spatial Differentiation Pattern and Influence Factor Detection of County-Level Grain Production in Huang-Huai-Hai Region
LIU Yu, REN Yanmin, PAN Yuchun
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (2): 315-323.   DOI: 10.13209/j.0479-8023.2019.130
Abstract738)   HTML    PDF(pc) (865KB)(140)       Save
Spatial aggregation features of 2015 county-level grain yields of Huang-Huai-Hai Region have been analyzed systematically based on cumulative distribution function and spatial autocorrelation analysis method, and impact of 18 factors on grain yields of different categories of counties in Huang-Huai-Hai Region and their interaction have been analyzed by use of geographical detector. The results indicate that low county-level grain yields in Huang-Huai-Hai Region tend to aggregate and high county-level grain yields tend to scatter, showing significant homogeneous aggregation in space. The areas of significant high yields are mainly distributed in southeast Henan Province, north Anhui Province and north Jiangsu Province and areas of significantly low yields are mainly in Beijing-Tianjin-Hebei Region and coastal counties of Shandong Province. In consideration of spatial constraints and distribution difference of grain yields, Huang-Huai-Hai Region can be classified into 4 areas: high grain yield area, mid-high grain yield area, low-middle grain yield area and low grain yield area. The impacts of 18 factors on county-level grain yields of Huang-Huai-Hai Region vary and mainly manifest dual-factor enhancement type and nonlinear enhancement type. The leading factors of high yield area are added value of primary industry, consumption of fertilizers (total mass percent of nutrients) and total agricultural mechanical power, belonging to social economy and factor-input acting type. The leading factors of mid-high yield area are cultivated land area, regional registered population, added value of primary industry, gross agricultural mechanical power, showing as the combined acting type. The leading factors of low-middle yield area are cultivated land area and consumption of fertilizers (total mass percent of nutrients), showing as geographical environment and factor-input acting type. The leading factors of low yield area are vegetation index, cultivated land area, added value of primary industry, consumption of fertilizers (total mass percentage of nutrients) and total agricultural mechanical power, showing as a combined acting type. The targeted grain production and income increase strategy shall be formulated in the future based on actual conditions of different areas.
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Partition and Ecological Design Technology of Land Consolidation Project in Tropical Platform Area
TANG Xiumei, PAN Yuchun, HAO Xingyao, LIU Yu, REN Yanmin
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (6): 1093-1101.   DOI: 10.13209/j.0479-8023.2016.103
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Considering the climate, soil and landform characteristics of tropical area, agricultural development direction and other conditions, the authors explore the land consolidation mode of tropical platform area in Hainan Province based on the analysis of cultivated land consolidation potential. There are four types of land consolidation, the modern agriculture pattern in eastern area, the agricultural tourism integration pattern in southern area, the ecological regulation pattern in western area and the high yield and high efficiency renovation pattern in northern area. Then, the characteristics, potential, the focus of land consolidation direction and key technology of each pattern are analyzed. Combined with the construction of Hainan international tourism island, this paper explores the ecological design modes and scheme of land consolidation project in tropical platform area based on the existing design in land consolidation project, including the design modes of plots, road, irrigation canals and ditches, to meet the climate and landform characteristics of tropical area. The research can provide a scientific basis for the planning and design modes of land consolidation in tropical platform area.

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Space-Time Differentiation of Rural Territorial Multifunction of Beijing
TANG Linnan, PAN Yuchun, LIU Yu, TANG Xiumei
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (2): 303-312.   DOI: 10.13209/j.0479-8023.2015.150
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Cased in 13 districts of Beijing, the paper gives a systematic analysis on the space-time differentiation of rural territorial multifunction about five functions such as economic development, agricultural production, social security, ecological services and tourism and leisure, and discusses the function orientation in the future. The results show that the distribution of rural regional function is obviously different. The economic development and social security function mainly locate in suburban plains, agricultural production function nearly locates in outer suburb, and ecological service function and leisure tourism function focus on the exurban mountain. Influenced by economic development, geographical location, terrain conditions, related policy and so on, the differences of the spatial interval development of function degree obviously exist among the three regions of suburban plains, outer suburbs plain and exurban mountains. In the future, combined with current development and differentiation of various district, government should give a proper arrangement to develop the rural territorial multifunction of the 13 districts comprehensively and coordinately.

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Evaluation of Ecosystem Service Value of Plain Afforestation in Beijing
TANG Xiumei, PAN Yuchun, GAO Bingbo, GAO Yunbing
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (2): 274-278.   DOI: 10.13209/j.0479-8023.2015.151
Abstract956)   HTML    PDF(pc) (358KB)(1127)       Save

Based on research progress on economic value of ecosystem services, taking the plain afforestation data in Beijing as the study area, this paper explores the ecosystem service value evaluation of the 6.67×104 hm2 plain afforestation area. Shadow engineering method, opportunity cost method and opportunity cost method are used. The results show that, the total plain afforestation ecosystem service value is about 325.89×108Yuan. The importance of each ecological service function, in descending order: climate regulation function, air purification function, function of fixing carbon and releasing oxygen, solid soil fertilizer function, reduce the noise function, the function of water conservation. The results provide reference for further promoting the Beijing plain afforestation project construction and the ecological compensation policy and determine the ecological compensation standard.

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Optimization and Implementation of Livestock and Poultry Breeding Configuration: Taking Land Consolidation Project in Yaoshan and Gaoyupu Towns of Shunping County, Hebei Province as Study Case
HAO Xingyao;TANG Xiumei;PAN Yuchun et al
Acta Scientiarum Naturalium Universitatis Pekinensis    2015, 51 (5): 923-930.  
Abstract562)      PDF(pc) (1635KB)(327)       Save
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Planning and Design Modes of Land Consolidation Based on Analysis of Landscape Pattern and Restrictive Factors
TANG Xiumei;REN Yanmin;PAN Yuchun
   2015, 51 (4): 677-684.   DOI: 10.13209/j.0479-8023.2015.097
Abstract1015)      PDF(pc) (864KB)(602)       Save
Taking Nanlv land consolidation project in Tunchang County of Hainan Province as an example, the authors explored the method based on analysis of landscape pattern and restrictive factors. Firstly, the landscape pattern of landscape scale and type scale is analyzed by ArcGIS and FRAGSTAS. Then, using the units of agricultural land classification as the unit of analysis, the restrictive factors are analyzed by the method of combination of grading factors. The combination types of grading factors and their restrictive degree of each unit is gotten. Lastly, based on the result of analysis of landscape pattern and restrictive factors, planning and design modes of land consolidation are proposed. Among them, the spatial layout planning is to determine the pattern of land use of the land consolidation project, including the spatial location and quantity ratio, and the position of the land consolidation project. The ecological design of land consolidation is to design the land types and land consolidation project based on ecological protection, including the plots, field roads, the irrigation canals and ditches. The research can provide a scientific basis for the planning and design modes of land consolidation in tropical plateau area.
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Factor Decomposition of Grain Production at County Level in Henan Based on LMDI
LIU Yu,PAN Yuchun,REN Xuhong,TANG Xiumei
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract726)      PDF(pc) (2440KB)(271)       Save
The LMDI technique and decomposition method are used to study the contribution of factors to grain production change based on grain production calculating model in Henan from 1980 to 2010. The growth of grain production is decomposed into four effects, including cultivated land area, multiple-cropping index, grain farming index and grain yield per hectare, and then accumulated effect of each factor is explored. Firstly, grain production increases by 54.371 million ton from 1980 to 2010. It is estimated that the accumulated contribution values of cultivated land area, multiple-cropping index, grain farming index and grain yield per hectare at province level are -1.754 million, 11.657 million, -5.734 million and 28.716 million ton, respectively. Grain yield per hectare is the dominant contributor to total grain increment, and multiple-cropping index is second. Secondly, at prefecture-city level, the effect of grain yield per hectare and multiple-cropping index is positive, while the other two factors in most of prefecture cities are negative. Thirdly, the pattern “high in the eastern while low in the western” of grain production at county level in Henan is very evident, and there are obvious differences among accumulated effects of the four factors. Overall, multiple-cropping index and grain yield per hectare result in remarkable grain increment in eastern Henan. Aiming at steady and continuous increase in grain production, some work such as cultivated land protection mechanism to increase grain sowing area, investment policy of agricultural infrastructure and optimization of agricultural inputs to improve grain yield per hectare should be enhanced.
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