Spatio-temporal features of scaling farmland and its corresponding driving mechanism in Three Gorges Reservoir Area
LIANG Xinyuan1(),LI Yangbing1,2()
1. School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China 2. Key Laboratory of Surface Process and Environment Remote Sensing in the Three Gorges Reservoir Area, Chongqing 401331, China
The discussion on function transformation of agricultural utilization and its corresponding driving mechanism in the Three Gorges Reservoir Area (TGRA) can reflect the change of the relationship between people and environment in the transitional belt between central and western China, mountainous areas and reservoir area, and provide a scientific basis for the development of agricultural multi-function in typical mountainous areas. This paper, selected five counties from the hinterland of the TGRA as the study area, analyzed the change of scaling farmland and its corresponding mechanism by defining the concepts of "scaling farmland", with the aid of Arcgis10.2, SPSS, geodetectors and other technical means. Results show that the scaling farmland was mainly converted from cultivated land and shrubland. Apart from some land used for alpine off-season vegetables, the growth of scaling farmland generally occurred at low altitude, and was mainly found in the range with a slope of 30°. The spatial change of scaling farmland of different types was significantly different, which was closely related with road and township administrative center. At the patch level, natural factors such as elevation and slope contribute much to the scaling farmland. At the township level, the driving forces of socioeconomic and humanistic factors were attributed to road traffic, agricultural population density and so on. At the regional level, the influencing factors of each county were more significant than those of the study area. The change and development of scaling farmland was driven by many factors. But the agricultural policy had been one of the dominant factors. Behavior subjects at different levels would promote the scaling farmland development in different directions under the background of national agricultural development and policy implementation.
. 三峡库区规模农地时空变化特征及其驱动机制[J]. 地理学报,
2018, 73(9): 1630-1646.
. Spatio-temporal features of scaling farmland and its corresponding driving mechanism in Three Gorges Reservoir Area[J]. Acta Geographica Sinica,
2018, 73(9): 1630-1646.
Land use intensification is an unimpeachable choice of human beings under the multiple pressures of food security, economic development, and ecological conservation. It is particularly important for the countries with less land resource per capita like China to foster a sustainable intensification in their use of land. The scienti fi c understanding of land- use change, however, is still insuf fi cient to characterise the conditions under which such a sustainable intensi fi cation can and will occur. The existing large knowledge gaps should be filled in the future. In this paper, we briefly review main progress in the research on land use intensification. The content is arranged in two sections. The first section focuses on four subtopics: (1) basic characters and their measuring indicators, (2) extremum and potential for input and output, (3) driving factors and limiting factors, (4) ecological effects and sustainable intensification. The second section is on current hotspots: monitoring and mapping land use intensity, land sharing & land sparing, policy premise and choice, and urban land "intensification" in China.
YouH.Agricultural landscape dynamics in response to economic transition: Comparisons between different spatial planning zones in Ningbo region, China. , 2017, 61: 316-328.https://linkinghub.elsevier.com/retrieve/pii/S0264837716308687
ChenYangfen, LiuYansui, ZhaiRongxin.Households' willingness and its determinants on the scale operation of farmland in the coastal areas of East China based on household survey. , 2009, 31(7): 1102-1108.
MoranW.Farm size change in New Zealand. , 1997, 53(1): 3-13.http://onlinelibrary.wiley.com/doi/10.1111/j.1745-7939.1997.tb00471.x/full
The size of farm holdings is a commonly used indicator of change in rural societies and economies. This paper reviews the explanation for changes in farm size in developed western countries and identifies the inadequacy of national data in presenting an accurate explanation of change. The literature is characterised by relative neglect of the influence of different farming systems, policy and legislative changes and other factors. In New Zealand, national farm size has decreased since the mid-1970s, but the experiences of different parts of the country has varied considerably. Farm size has decreased the most where subdivision and intensification of land use have taken place, whilst in some pastoral regions farm size has been maintained or has even increased.
TanM, Robinson GM, LiX, et al.Spatial and temporal variability of farm size in China in context of rapid urbanization. , 2013, 23(5): 607-619.http://link.springer.com/10.1007/s11769-013-0610-0
During the last 30 years, China has witnessed rapid economic growth and dramatic urbanization, with about 1.2 10 7 rural people migrating annually into urban areas. Meanwhile, especially since 1995, the rural population has been declining, which is closely linked to land circulation and the increase in farm size in many villages. Increasing scale of farming operations is often regarded as a key to avoiding the abandonment of farmland and to increasing the income of rural farmers. However, until now, there has been little research on the spatial and temporal variability of farm size at the national level in China. Using data from the national agricultural census and rural household surveys, this study examines the characteristics of land use circulation and the consequent changes in the area of farmland per household. The results show that: 1) 12.2% of rural households were involved in land circulation at the national level. The highest amounts of land circulation have occurred in those provinces where the farmland per capita is more than 0.2 ha or less than 0.1 ha; 2) over 80% of households operate less than 0.6 ha of farmland; 3) the proportion of mid-sized farms (between 0.2 ha and 0.6 ha per household) has decreased while the smallest and the largest farms have increased. This bears some similarity with the phenomenon known as the isappearing middle , referring to the changes in farm size. This study establishes a framework for interpreting the factors affecting the changes in farm size in China, which include two promoting factors (urbanization and agriculture) and four hindering factors (agricultual land system, household registration, stable clan system, and farmland loss).
DannenbergP, KuemmerleT.Farm size and land use pattern changes in postsocialist Poland. , 2010, 62(2): 197-210.http://www.tandfonline.com/doi/abs/10.1080/00330120903546312
The postsocialist transition resulted in widespread structural change in Polish agriculture, but fine-scale assessments of how these changes affected farming and rural landscapes are scarce. This article examines changes in farm sizes and land use patterns after the breakdown of socialism in Poland using micro-census data and satellite images. Our study area is Pyrzyce County. The analysis indicates a polarization of the farm size distribution (e.g., medium-sized farms disappeared) as well as marked changes in land use patterns (e.g., increasing field sizes and field aggregation). Interviews with farmers and stakeholders suggest that this shift can be explained by decreasing competitiveness of medium-sized farms in the emerging new agricultural value chain, which forced farmers to increase and intensify production or to downsize their farms, especially when the preference was for other occupations.
BartoliniF, ViaggiD.The common agricultural policy and the determinants of changes in EU farm size. , 2013, 31(2): 126-135.http://linkinghub.elsevier.com/retrieve/pii/S0264837711001219
Structural change provides the possibility of increasing the competitiveness and efficiency of the entire agricultural sector through a better allocation of productive factors. Amongst the productive factors, land is the one that most often limits farm development. This paper seeks to identify determinants of intended changes in farm size (represented by farmed area and measured as a reduction, expansion or no change) identified as stated intentions expressed through survey information, under two different Common Agricultural Policy (CAP) scenarios: (1) the Baseline, characterised by the Health Check policy as of 2009; and (2) a No-CAP scenario, assuming the elimination of all CAP payments and regulatory measures. Results highlight that CAP abolishment strongly reduces the intention to increase the amount of farmed area; the determinants of change in farmed area also change sharply amongst the two scenarios. Geographic variables, and farm characteristics such as farm organisation and the number of on-farm employees are relevant to explain the farmed area expansion. On the contrary, without the CAP, the relation between household and farm has strong effects on the different directions of change of farmed area. The results confirm that the different single payments scheme models affect the changes in demand of land.
İlkay UG, ŠtefanB.Farm size and participation in agri-environmental measures: Farm-level evidence from Slovenia. , 2015, 46: 273-282.http://linkinghub.elsevier.com/retrieve/pii/S0264837715000745
This paper analyses the determinants of farmer participation in agri-environmental measures (AEMs) using the Slovenian Farm Accountancy Data Network (FADN) during the 2004 2010 period. Previous papers have not shown a straightforward relationship between farm size and decisions to participate in AEM. Considering explicitly the farm size, the controversial subject of the role of farm size is investigated by conducting logit regression analyses. We examine the influence of farm-specific characteristics on participation in AEMs using three different farm sizes: small, medium, and large. The findings strongly suggest that there are differences between the determinant factors of AEM participation based on farms utilised agricultural area, particularly between small and large farms. This conclusion is supported by those variables that describe farm capital per land intensity, off-farm income and type of farming as significant determinants for large farm models but not for small farm models. Furthermore, variables that describe land productivity negatively influence participation in AEMs for large farms, whereas these variables positively influence the participation of small farms. The results highlight the importance of how these previously confirmed factors influencing AEM participation differ according to the three different farm sizes.
Jayne TS, ChamberlinJ, TraubL, et al.Africa's changing farm size distribution patterns: The rise of medium-scale farms. , 2011, 47(S1): 197-214.
WangJ, Chen KZ, Gupta SD, et al.Is small still beautiful? A comparative study of rice farm size and productivity in China and India. , 2015, 7(3): 484-509.http://www.emeraldinsight.com/doi/10.1108/CAER-01-2015-0005
WanQun, WangCheng, DuXiangzuo.Redefinition of patterns of production space on village scale based on evaluation of the land scale operation conditions for Dazhu Village, Chongqing. , 2016, 38(3): 387-394.
Meng QH, Fu BJ, Yang LZ.Effects of land use on soil erosion and nutrient loss in the Three Gorges Reservoir Area, China. , 2010, 17(4): 288-291.http://onlinelibrary.wiley.com/doi/10.1111/j.1475-2743.2001.tb00040.x/full
<P> Abstract. By comparing field measurements from 1989, 1997, and 1998, the differences between farmland (sloping farmland, sloping farmland with contour cultivation, terraced farmland) and orchard (terraced orchard, unterraced orchard), in the Three Gorges Reservoir Area, were significant for runoff ( P <0.01), erosion ( P <0.05) and nutrient loss ( P <0.05). Taking into account economic costs and environmental influences, reasonable and sustainable land use on slopes of 25 in the Three Gorges Reservoir Area should be unterraced orchard.</P>
Amjath-Babu TS, KaecheleH. Agricultural system transitions in selected Indian states: What do the related indicators say about the underlying biodiversity changes and economic trade-offs? , 2015, 57: 171-181.http://linkinghub.elsevier.com/retrieve/pii/S1470160X15002071
WangJinfeng, XuChengdong.Geodetector: Principle and prospective. , 2017, 72(1): 116-134.
[王劲峰, 徐成东. 地理探测器: 原理与展望. , 2017, 72(1): 116-134.]
Wang JF, HuY.Environmental health risk detection with GeogDetector. , 2012, 33(10): 114-115.http://www.sciencedirect.com/science/article/pii/S1364815212000333
Human health is affected by many environmental factors. Geographical detector is software based on spatial variation analysis of the geographical strata of variables to assess the environmental risks to human health: the risk detector indicates where the risk areas are; the factor detector identifies which factors are responsible for the risk; the ecological detector discloses the relative importance of the factors; and the interaction detector reveals whether the risk factors interact or lead independently to disease.
DingYue, CaiJianming, RenZhoupeng, et al.Spatial disparities of economic growth rate of China's national-level ETDZs and their determinants based on geographical detector analysis. , 2014, 33(5): 657-666.
RgjrP, Schneider LC.Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. , 2001, 85(1): 239-248.
LiuY, SongW, DengX.Changes in crop type distribution in Zhangye City of the Heihe River Basin, China. , 2016, 76(76): 22-36.https://linkinghub.elsevier.com/retrieve/pii/S0143622816304210
61We classified the crop type distribution in 2007 and 2012 in Zhangye of Heihe.61The sowing area of corn and rapeseed increased while wheat and barley decreased.61Spatial-temporal unevenness of irrigation water led to crop spatial differentiation.61Crop type changes lead to the fragmentation and diversity of cultivated land.61The modeling of future crop transition potentials was performed.