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Evaluation and Analysis of Ecosystem Services Value in Beijing-Tianjin-Hebei Region Based on Demand Zoning
TANG Xiumei, LIU Yu, REN Yanmin, ZHOU Yanbing
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (1): 173-180.   DOI: 10.13209/j.0479-8023.2020.112
Abstract582)   HTML    PDF(pc) (945KB)(238)       Save
Based on the analysis of the logical relationship between supply and demand of ecosystem services, this study evaluates the demand status of ecosystem services in Beijing-Tianjin-Hebei region, delimits the demand type areas, calculates the spatial and temporal changes of ecosystem services value (ESV) based on land use status maps in 2000 and 2015, and puts forward corresponding land use strategies. The result is as follows. 1) Human beings have material, environmental and cultural needs for ecosystem. The demand for ecosystem services can be evaluated from four aspects: population, economic level, industrial development and educational level, corresponding to the nine services of the four functions of ecosystem, including supply, regulation, support and culture; 2) There is a large gap in the demand for ecosystem services in Beijing-Tianjin-Hebei region, which can be divided into four types: extremely high demand area, high demand area, medium demand area and low demand area. 3) From 2000 to 2015, the total value of ecosystem services in Beijing-Tianjin-Hebei region decreased. At county level, the total value of ecosystem services and the average value of land decreased gradually from north to south in space; 4) The value distribution of ecosystem services in different demand areas was unbalanced. From 2000 to 2015, the value of all types of areas has decreased, and the land use strategies of different types of areas are different.
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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
Abstract864)   HTML    PDF(pc) (2031KB)(794)       Save

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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The Choice of Leading Industry Based on Functional Orientation in the Ecological Conservation Development Area of Beijing
SUN Chao, LIU Yu, TANG Xiumei, REN Yanmin
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (6): 1085-1092.   DOI: 10.13209/j.0479-8023.2016.065
Abstract672)   HTML    PDF(pc) (480KB)(739)       Save

This study takes the three industries and the internal structure of tertiary industry in ecological conservation development area of Beijing from 2005 to 2012 as the research object, using shift-share analysis method, comprehensively analyses of the development of industry share deviates from the components, structure deviation and competitiveness deviation component, provides some reference for choosing the leading industry in ecological conservation development area and the adjustment of industrial structure. The results shows that the first industry in ecological conservation development area has a certain but small amount competitiveness, cannot effectively promote economic development of the whole area; the second industry growth in ecological conservation development area is slower than the average level in Beijing, and does not have the competitive advantage; the total deviation vector of the third industry presents the obvious rise, and accelerates the development trend, which is the main force of the regional economic development in the future. In potential leading industry selection for districts and counties, Mentougou District takes the culture, sports and entertainment industry, and finance industry as leading industries, Huairou District takes the information transmission, computer services and software industry as the leading industry, Pinggu District takes the culture, sports and entertainment industry as leading industry, in the present stage of the third industry in Miyun County has not meet the requirements of the industry, and the estate industry is the leading industry for Yanqing County. Comprehensive tourism is suitable for the dominant industry of ecological conservation development area, and is also in line with the industry development present situation and future development direction. That can effectively promote regional economic development.

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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
Abstract1016)      PDF(pc) (864KB)(603)       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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Spatial-Temporal Difference of Grain Yield Per Hectare during 1980?2012 at County Level and Its Balanced Increasing Potential in Henan Province
LIU Yu,GAO Yunbing,GAO Bingbo,REN Yanmin
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract742)      PDF(pc) (2515KB)(313)       Save
Based on the statistical data of 126 counties in Henan, using mathematical statistics method and spatial autocorrelation analysis, spatial changes and variation character of grain yield per hectare at county level in Henan Province during 1980?2012 are discussed by SPSS, ArcGIS and GeoDa software, and the increase potential of grain yield per hectare and total yield at regional scale are calculated. The results show that:1) During 1980?2012, grain yield per hectare and its absolute difference at county level take on increasing trend by and large, while the relative difference increases first and then decreases. The distributional pattern of grain yield per hectare changes from positive skewness to negative skewness, and the agglomeration degree of grain yield per hectare increases first and then decreases. 2) Grain yield per hectare at county level in Henan has a strong spatial autocorrelation with evident pattern “high in the eastern while low in the western”. The increment of grain yield per hectare descends from East to West at county level, and counties with higher increment of grain yield per hectare gather in the eastern plain area of Henan. 3) The changes of grain yield per hectare at county level show a positive spatial autocorrelation and the characteristic of spatial clustering of regional high value and low value is significant. The counties with “High-High” and “Low-Low” correlation are the majority. The counties with significant “High-High” correlation are mostly located in the eastern of Huang-Huai plain area and northwestern of the Hebei-Shandong-Henan low-lying plain area, while the counties with significant “Low-Low” correlation are mainly distributed in western Henan mountainous-hilly area and western of Huang-Huai plain area. 4) Henan Province is divided into 5 first-grade regions and 11 second-grade regions according to the coupled conditions of farming system regionalization and LISA cluster map. The potential output per hectare of the 5 first-grade regions could be sorted in descending order as hilly-mountainous region of Hubei-Henan-Anhui, piedmont region of Taihang mountain and Yanshan mountain, western Henan mountainous-hilly region, Huang-Huai plain region, and Hebei-Shandong-Henan low-lying plain region. The total potential output of Henan Province is 1.27×107 tons, and the 5 regions could be sorted as Huang-Huai plain area, hilly-mountainous region of Hubei-Henan-Anhui, piedmont region of Taihang mountain and Yanshan mountain, western Henan mountainous-hilly region, and Hebei-Shandong-Henan low-lying plain region.
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