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Article

Evaluation and Improvement of Cultivated Land Leisure Service Function Based on Multisource Spatial Data

1
College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
2
School of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
3
Henan Engineering Research Center of Land Consolidation and Ecological Restoration, Zhengzhou 450002, China
4
Social Development Research Center, Zhengzhou University of Light Industry, Zhengzhou 450002, China
*
Author to whom correspondence should be addressed.
Submission received: 23 January 2022 / Revised: 13 February 2022 / Accepted: 14 February 2022 / Published: 16 February 2022
(This article belongs to the Special Issue The Impact of Land Use on Atmospheric Environment)

Abstract

:
The leisure service function is an important component of the derivative function and non-market function of cultivated land. Therefore, exploring the strength of the cultivated land leisure service function with the help of spatial information technology is significant in guiding the proper utilization and protection of cultivated land resources. This paper constructed an evaluation system based on the three dimensions of ecological landscape, social activities, and economic performance, explored the spatial difference of the cultivated land leisure service function in Yuanyang County, the major grain-producing area along the Yellow River through spatial weighted overlay, classified the hot spots of leisure services and presented suggestions for improvement. Results show the following: (1) the landscape resources in the northern part are relatively monotonous, while those in the southern part are rich and evenly distributed. Spatial accessibility presents a distribution of “one core with multiple subcores”. The distribution of leisure service supply capacity is characterized by “multiple cores and multiple circles.” (2) The hot spots of the cultivated land leisure service function are the Urban Agricultural Central Area and the Ecological Agriculture Core Area in the middle of the county, and the Suburban Agritourism Development Area, the Yellow River Agritourism Transitional Area, and the Leisure Agriculture Connection Area on the periphery of the county. (3) The agricultural landscape should be fully protected and utilized in the Urban Agricultural Central Area. The spatial accessibility and regional reputation of the Ecological Agriculture Core Area need to be improved. The landscape diversity and landscape quality should be improved in the Suburban Agritourism Development Area. The Yellow River Agritourism Transitional Area needs to overcome the loss of tourists. The Leisure Agriculture Connection Area should increase the number of leisure and tourism facilities.

1. Introduction

As one of the most flexible land use types, cultivated land is an agricultural resource that guarantees human survival [1]. It also constitutes an essential part of the rural landscape and is a primary carrier of agriculture civilization. With social and economic development, humans gradually develop great and diversified needs, and their understanding of the functions of cultivated land has gradually deepened; thus, each function of cultivated land is gradually manifested or developed [2,3]. The concept of multifunctionality originates from the agricultural sector and refers to the simultaneous provision of diverse goods or services [4], and has now been extended to multiple fields. The multifunctionality of cultivated land is a single type of research under the framework of land multifunctional analysis, while land multifunctionality is theoretically based on ecosystem services and has evolved from research on agricultural multifunctionality and landscape multifunctionality [5,6,7]. Therefore, the multifunctionality of cultivated land can be regarded as an extension of ecosystem function, agricultural multifunctionality, and landscape multifunctionality. As a semi-natural system, cultivated land is an ecosystem that relies on human alteration, and, similar to the farmland subsystem in the ecosystem, its multifunctionality stems from ecosystem service theory. Agricultural multifunctionality is the basis for the understanding and the existence of the multifunctionality of cultivated land [8]. Landscape is composed of different homogeneous units, and cultivated land is clearly a homogeneous landscape that can achieve various social purposes and encompasses various functions [9]. Considering the above research theories, the multifunctionality of cultivated land has been widely recognized and is of concern [2,8].
The division of cultivated land functions reflects the subjective will of human beings. The division methods of cultivated land functions vary according to the different research purposes and research areas. The multifunctionality of cultivated land is the product of the coupled development of human systems and natural systems [10]. Its essence is to provide various products and services to meet human needs, including the intrinsic functions of the land and the functions generated by human use. The intrinsic functions of cultivated land are determined by its inherent attributes and are independent of human will. They can be regarded as the basic functions of cultivated land and divided into three categories: material production, ecological conservation, and landscape culture. First, cultivated land can nourish the growth and development of crops without the involvement of human labor and ultimately yields agricultural products. Second, cultivated land itself is a part of the ecosystem and has eco-environmental protection functions such as climate regulation and water conservation. Finally, cultivated land is the carrier of agriculture civilization, which, together with other rural landscapes, forms a landscape sequence with unique visual aesthetics. On the basis of the basic functions of cultivated land, humans use it for other purposes to meet diverse needs, resulting in the derivative functions of cultivated land, which can be seen as alternative manifestations of its basic functions [11]. The food security function and the social security function emerge from the material production function [10,12]; the urban space barrier function come from the ecological conservation function [13]; and the science popularization function and the leisure and entertainment function develop from the landscape culture function [12]. The theoretical and analytical framework of ecosystem services has been widely accepted by scholars. If cultivated land and its closely related organisms and environment are regarded as an ecosystem, then the ecosystem services provided by the cultivated land ecosystem correspond to the basic functions of cultivated land, with the material production function corresponding to supply services, the ecological conservation function corresponding to support and regulation services, and the landscape culture function corresponding to cultural services [8]. The value of the material production function of cultivated land can be reflected through the market transaction of agricultural products, while the functions of ecological conservation and landscape culture products and services can hardly be reflected through market transactions. Therefore, from the perspective of value quantification, the material production function can be concluded as the market function of cultivated land, and the ecological conservation and landscape culture functions are non-market functions. The derivative functions of cultivated land are the attachment and extension of the basic functions, and they have no physical form and their value can hardly be quantified through market transactions; thus, they are also the non-market functions of cultivated land.
With social development and changes in human needs, the leisure service function of cultivated land has stood out as being more important than the other non-productive functions [14]. The cultivated land leisure service function can be seen as the function that relies on cultivated land, integrates the characteristics of the development of tourism service industry, and uses natural landscapes such as farmland and human landscapes such as agricultural production and agricultural culture to provide the public with sightseeing, cultural experience, and leisure. In the process of poverty alleviation and rural revitalization in China, the mode of agricultural experience and leisure tourism has been effective in increasing the income of rural households across the country, and this mode is also a clear manifestation of the cultivated land leisure service function. In 2021, the No. 1 Document by the CPC Central Committee proposed to comprehensively promote rural consumption and motivate urban residents to consume in the countryside. Major attractive factors include rural views, agricultural landscape, rural natural environment, agricultural products, and processed products, which are all closely related to the cultivated land leisure service function. Therefore, on the basis of ensuring the cultivated land grain production function, efforts should be exerted to respect the practical needs of human beings for the cultivated land leisure service function and provide support and guidance to implement cultivated land protection, promote rural economic development, and drive the realization of agricultural infrastructure modernization, rural living environment upgrade, and agricultural and rural development [3]. At present, few studies focus solely on the cultivated land leisure service function and generally regard it as a non-productive function and incorporate it into the integrated study on the multifunctionality of cultivated land [15]. However, the value of the leisure service function is an integral part of the non-market value of cultivated land [16,17] and is no less important than the value of its economic output [18]. The perception of cultivated land leisure services is intangible and subjective; thus, the current methods for evaluating the non-market value of cultivated land are mainly divided into two categories: the stated preference method and the revealed preference method. The former includes the contingent valuation method (CVM) [19,20] and the selective experiment method (CE) [21,22,23]; the latter includes the tourism cost method (TCM) [24,25], the hedonic pricing method (HPM) [26,27]. In addition, other methods measure the non-market value of cultivated land by referring to the functions of the market, such as the shadow project method [28] and the opportunity cost method [1]. The above methods evaluate cultural, educational, and leisure functions as a whole and thus fail to separate the leisure service functions and evaluate each individually.
With the development of information technology, a large amount of emerging spatial data has been used in the research of natural resources. Spatial data can reflect the spatial characteristics of cultivated land attributes and are relatively simple to acquire and more accurate and pertinent. Therefore, cultivated land leisure service function can be better evaluated separately realized through the use of spatial data. At present, few studies have used spatial data to analyze leisure services, and most existing studies use single-type spatial data, such as point of interest (POI) data [29]. However, POI data are only a representation of the economy, which easily leads to the problem of incomplete and inadequate evaluation. Therefore, multisource spatial data should be selected from different dimensions to ensure a rigorous and accurate evaluation. This study evaluates the cultivated land leisure service function from the three dimensions of ecological landscape, social activities, and economic performance in an objective and comprehensive manner. According to the comprehensive evaluation results, suggestions on zoning optimization were put forward to promote the adjustment, management and optimization of cultivated land leisure services in the study area.
The Yellow River Basin is a critical ecological barrier and economic zone in China. Its ecological conservation and high-quality development are a major national strategy. An effective measure to coordinate high-quality development and ecological conservation is the implementation of ecological agriculture and leisure agriculture, the development of which depends largely on the cultivated land leisure service function. The back-river depressions along the Yellow River is a key area for the development of the Yellow River Basin, and cultivated land assumes the functions of agricultural production and economic development. Yuanyang County is located in the back-river depressions on the north side of the Yellow River and is an ideal place to develop a green leisure service economy as it is embraced by the original natural scenery along the river, which is steeped in history and culture, and well placed with convenient transportation. Therefore, taking Yuanyang as an example for the evaluation and improvement of the cultivated land leisure service function based on multisource spatial data can provide a theoretical analysis framework for similar studies and provide a reference for ecological conservation and economic development of cities and counties in the Yellow River Basin.

2. Materials and Methods

2.1. Overview of the Study Area

Yuanyang County is located in the back-river depressions of the Yellow River alluvial plain in Northern Henan Province. It is under the jurisdiction of Xinxiang City, Henan Province, China, and borders the provincial capital of Zhengzhou, with Fengqiu County to the east, the Yellow River to the south, Pingyuan New District to the west, and Xinxiang County and Yanjin County to the north (Figure 1). It is located within the Zhengzhou metropolitan area in the Central Plains Urban Agglomeration and is also in the center of the Zhengzhou-Xinxiang integrated development area and the core area of the Xinxiang Economic Belt along the Yellow River. Yuanyang County has a temperate continental climate, with rain and heat over the same period. It has a flat terrain and thick soils, and main crops include rice, wheat, and corn. As of 2020, Yuanyang has 2 residential districts and 11 townships under its jurisdiction, with a total land area of 1022 km2, of which the cultivated land area is 642.90 km2, accounting for 62.91%.

2.2. Data Collection and Processing

In this study, data mainly falls into two categories. The data sources and processing methods are as follows:
(1) Map data: Data of administrative boundaries, county boundaries, township boundaries, and village boundaries all come from the Yuanyang County Natural Resources Bureau. Land use data are obtained by human–computer interaction interpretation based on USGS remote sensing image data, and the kappa coefficient is 0.9583 after calculation, indicating extremely high data classification consistency. Road network vector data come from the Open Street Map website.
(2) POI data: POIs related to the leisure service function around the cultivated land were obtained from the Tencent, Baidu, and AutoNavi maps through the Taile Map software, and the DeleteIdentical tool of ArcGIS 10.7.1 was used to delete duplicate items. Then, categories that are clearly unrelated to cultivated land were eliminated based on the attribute table. Finally, each remaining POI data were screened, and the target data were retained. The original POI data need to be reclassified because of the complex classification and data redundancy. For example, the classification of Best Travel Agency should be changed from catering service to companies and businesses. A total of 334 POIs were finally determined for follow-up analysis: catering food (41), shopping service (52), accommodation service (45), companies and businesses (78), travel service (27), and leisure and entertainment (91) (Table 1).

2.3. Research Methods

2.3.1. Analytical Framework of the Cultivated Land Leisure Service Function

The establishment of the evaluation index system of the cultivated land leisure service function serves the evaluation of individual functions, the spatial weighted overlay and comprehensive evaluation, and the optimization and improvement of zoning. The cultivated land leisure service is the external manifestation of the multifunctionality of cultivated land. It is intangible, and people have varying perceptions of this service. On the basis of a literature review [10,12,30,31], considering the actual situation of the study area, three criterion layer indices—namely, landscape pattern, spatial accessibility, and leisure service supply capacity—were selected from the three dimensions of ecological landscape, social activities, and economic performance. First, the cultivated land landscape is inseparable from other landscapes in geographic space, and its landscape benefits rely on other landscapes in the background [32]. As landscape ecology has become a mature discipline, landscape patterns can be selected from the ecological landscape dimension to reflect the characteristics of natural landscapes and human landscapes. Second, the road network is the link that connects social activities and serves to support regional development and factor mobility. Therefore, spatial accessibility was selected from the social activities dimension to reflect the range of influence and the potential of the cultivated land leisure service function. Finally, cultivated land leisure service supply refers to the provision of services related to cultivated land in the study area, such as sightseeing, cultural experience, and leisure, which are economically manifested as specific economic activities. Therefore, the leisure service supply capacity can be used as an evaluation index of the economic performance dimension. On the basis of the above analytical framework, the criterion layer indices were determined, and the factor layer indices were selected. Indices in the criterion layer and the factor layer have different spatial attributes, resulting in different significance of their influence on the cultivated land leisure service function. Therefore, a combination of the analytic hierarchy process (AHP) [33] in subjective weighting and the entropy weighting method (EWM) [34] in objective weighting was adopted to determine the weight of each index (Table 2).

2.3.2. Evaluation of Individual Cultivated Land Leisure Service Functions

With the differences in the units of measurement of selected indices and the great difference in the range of values, range standardization method was used to nondimensionalize all data to ensure their comparability and eliminate the difficulty in computation caused by different units of measurement [35].
(1)
Evaluation of landscape pattern
Landscape pattern is obtained based on land use data analysis. The landscape pattern was evaluated by using the spatial landscape pattern index method. Landscape pattern indices were used for a comprehensive analysis of all landscape types in the study area and can reflect components of landscape structure and spatial distribution characteristics through data information. Shannon’s diversity index (SHDI) can reflect landscape heterogeneity and diversity, and a higher value indicates high landscape richness within the area. Shannon’s evenness index (SHEI) represents the evenness of the distribution of different landscape types, and a smaller value indicates that the landscape is dominated by dominant patch types [36]. The spatial landscape pattern indices of the study area were calculated by the moving window method in Fragstats 4.2 [37], and the recommended window length was 100 m.
(2)
Evaluation of spatial accessibility
Spatial accessibility is calculated based on road network data. The spatial accessibility was evaluated by density analysis for lines. Kernel density analysis is an improvement of density analysis for grids. Through the calculation of the density magnitude of line elements in an area with a certain search radius, lines closer to the center of the search area were given greater weights, and the weight decreases as the distance between the line and the center increases. Smoother results can be obtained using this calculation method. Details can be found in this paper [38,39].
The default search radius algorithm [40,41] was used to determine the search radius in the density analysis for lines and kernel density analysis, and the formula is as follows:
h = 0.9 × m i n ( S D , 1 l n ( 2 ) × D m ) × n 0.2
where h is the search radius (m); SD is the standard distance (m); Dm is the median distance (m). If the analysis is run without a weight field, then n is the number of features; otherwise, n is the sum of values in the weight field.
To ensure unified units of measurement in calculation and facilitate evaluation, the unit of the default search radius for the density analysis for lines and kernel density analysis was converted to km, and the calculated result was rounded to one decimal place. The search radius for the density analysis for lines was 1.1 km after calculation.
(3)
Evaluation of leisure service supply capacity
An economic activity needs to be conducted in a certain location or place, and POI data can provide a location dataset—farmhouses [42], for example—related to the activity, which is why the leisure service supply capacity is calculated using POI data. The evaluation of leisure service supply capacity adopted the kernel density analysis method. Kernel density estimation is derived from the first law of geography, that is, the density value becomes greater as the point moves closer to the core element, reflecting spatial heterogeneity and the diminishing of intensity with increasing distance. This method can reveal the radiation of the influence of objects over those in their immediate vicinity [40,43], and the formula is as follows:
f ( x ) = i = 1 n 1 h 2 K ( x x i h )
K ( x x i h ) = 3 4 ( 1 ( x x i ) 2 h 2 )
where K is the kernel function; h is the search radius, i.e., the extended width of the curved surface near point x in space, and according to Formula (1) and rounded to one decimal place, the search radius was 3.7 km; n is the number of feature points within the search radius of point x.

2.3.3. Comprehensive Evaluation of the Cultivated Land Leisure Service Function

According to the above results and the calculated index weights, the multifactor weighted sum method was used to calculate the strength of the cultivated land leisure service function with the help of Raster Calculator in ArcGIS 10.7.1.
Z = X n a w a + X n b w b + X n c w c
where Z is the score of the cultivated land leisure service function; Xna, Xnb, and Xnc are the normalized value of the linear density of road network, the normalized value of the overall landscape pattern index, and the normalized value of the kernel density of POI, respectively; wa, wb, and wc are the weights of Xna, Xnb, and Xnc, respectively.
Regular hexagons have more sides and fit together without any gaps to tile the plane. To eliminate the small outlier areas generated after overlay and bring out the spatial layout of the evaluation results, the “honeycomb” grid was used for grid processing on the data after overlay.

2.3.4. Optimization of the Cultivated Land Leisure Service Function Division

To explore the local spatial heterogeneity of the cultivated land leisure service function, the hot spot analysis Getis-Ord Gi* index [35,44] was used to measure the cold and hot spots in different regions, and function division was performed in hot spots by using ArcGIS 10.7.1. The formula is as follows:
G i * = j i n W i j X j j i n X j
where Wij is the spatial weight matrix; xj is the attribute value of the variable in the j-th spatial unit; if Gi* is significantly positive, then the value around the i-th spatial unit is relatively high and it is located in the hot spot; otherwise, it indicates that the value around the i-th spatial unit is relatively low and it is located in the cold spot.

3. Results

3.1. Evaluation of Single Cultivated Land Leisure Service Function

3.1.1. Analysis of Landscape Pattern

The cultivated land landscape is the original embodiment of the natural capital of cultivated land and the direct factor that attracts people to perceive leisure service. The good ecological landscape is a reflection of the high potential of cultivated land leisure services. In areas with good ecological landscapes, cultivated land leisure services and commodities are made and provided. SHDI represents the richness of landscape, while SHEI represents the balance of landscape; overall, their spatial distribution in Yuanyang County is similar with a few differences (Figure 2). Areas at the raster scale with high SHDI values are mainly concentrated in the central and southern part of Yuanyang County, while SHEI is distributed evenly throughout the county. The distributions of SHDI and SHEI at the village scale are highly overlapping, with areas of higher values located in Jiangzhuang Village, Guanchang Town, Jintang Village, the northern part of Doumen Village, Gebukou Village, the southern part of Dabin Town, and Taiping Town, closely surrounding the ecological corridor of the Yellow River Embankment in terms of spatial distribution. As an emergency structure to prevent floods, the Yellow River Embankment is, most of the time, an ecological conservation belt with three-dimensional greening, which improves not only the diversity but also the evenness of landscapes and adds to the enjoyment of cultivated land in the region. As a tourist destination, Taiping Town features paddy fields as the dominant landscape element and other elements, including drylands, woodlands, water bodies, and construction land for homestays. The landscape has high diversity and richness, with cultivated land providing a great leisure and aesthetic function. Areas with median SHDI and SHEI values are next to areas with high values, mostly located in the central and southern parts, while areas with low values are mostly found along the Yellow River and in the northern part of Yang’e Village. The Yellow River beach consists mostly of sandy soils, and with the demand for river safety and ecological conservation, the surrounding area is protected from economic activities. Therefore, the landscape is dominated solely by cultivated land, and few landscape types are found in the northern part of Yang’e Village, a traditional dry farming area. In general, the landscape resources in the northern part are relatively monotonous, while the southern part features rich and evenly distributed landscape resources and has high potential for cultivated land leisure services.

3.1.2. Analysis of Spatial Accessibility

The density of road network in Yuanyang County shows clear spatial heterogeneity with large regional differences, presenting a spatial pattern of “one core with multiple subcores” (Figure 3). The urban area consisting of Yuanxing and Yanghe residential districts and Gebukou Village has the highest spatial accessibility, indicating the great potential of the cultivated land leisure service function. As the county’s political, economic, and cultural center, this area is equipped with complete infrastructure and is the key area that drives and promotes the leisure service function of the cultivated land around the urban area, which has also been confirmed by the agglomeration of the large number of POIs related to cultivated land leisure service. A large number of sub-high-density areas formed by the road network were found, mostly in the urban area, and are scattered in each township with relatively poor connection. These areas are often accompanied by an agglomeration of cultivated land leisure service POIs, indicating that the improvement of road network has a significant impact on the effect of the cultivated land leisure service functions. Cultivated land resources are abundant and evenly distributed throughout Yuanyang County, which is why leisure service products based on cultivated land resources are ubiquitous. The large road network is conducive to the formation of multiple centers of the cultivated land leisure service function throughout the county, thus avoiding the overuse of cultivated land resources in a certain area. Most of the medium-density areas of the road network surround the sub-high-density areas. They are also areas where the radiation of the cultivated land leisure service function gradually diminishes. Low-density areas and sub-low-density areas connect with each other and have low potential for cultivated land leisure service function, and their role is to connect roads throughout the county to form a network that links the cultivated land leisure service function center of each area.

3.1.3. Analysis of Leisure Service Supply Capability

The six types of POI data were superimposed according to their weight to form five core areas in Yuanyang County in terms of cultivated land leisure service supply capacity, which are located in Funingji Village, Gebukou Village (dual core), Qijie Town, and Guanchang Town, showing a distribution of “multiple cores and multiple circles” (Figure 4). As a key node that links the suburbs of Xinxiang and Yuanyang, Funingji Village attracts numerous urban residents with its superior natural environment and convenient location. Moreover, cultivated land leisure service facilities in Funingji Village, such as farmers’ markets, picking gardens, farmhouse cooking, and homestays, are constantly emerging. Gebukou Village, as an urban development extension area, has formed a land use pattern of semi-cultivated land and semi-construction land, which can not only provide tourists with natural landscapes, but also guarantee high-quality accommodation services. Thus, a large number of leisure service facilities such as agritourism companies, farm stores, and nursing homes have emerged here. Qijie Town is located in the center of the triangle formed by Yuanyang County, Yanjin County, and Fengqiu County, and is the intersection of the intercounty highways. Many catering, shopping, and accommodation service facilities related to cultivated land leisure can be found here. Yuanyang County is a key area for the integration development of Zhengzhou and Xinxiang. Guanchang Town serves as the gateway because it is the first stop on the way from Zhengzhou to Yuanyang after crossing the Yellow River. Its superior location promotes the cultivated land leisure service function and makes it a one-day trip destination for urban residents in Zhengzhou. Its leisure service facilities mainly include farms, farming and animal husbandry bases, and agricultural product stores, with few accommodation services and multiday leisure activities. In addition, a sub-high-density area endowed with rich natural resources has formed near Taiping Town. Rice field is the dominant landscape feature, and the concurrent rice–shrimp–crab farming system not only improves the quality of agricultural products, but also serves as an agricultural landscape. Rural tourism complexes represented by Yellow River Rice Farmer and Buffalo Rice have attracted numerous tourists to experience farming and farmhouse beds and meals, thereby showing the effect of the cultivated land leisure service function. In general, cultivated land leisure service facilities in Yuanyang are distributed in multiple centers rather than in a single core, which is conducive to the proper utilization of all cultivated land resources in the county.

3.2. Comprehensive Evaluation of the Cultivated Land Leisure Service Function

3.2.1. Spatial Distribution of the Cultivated Land Leisure Service Function

The overall spatial distribution of the cultivated land leisure service function in Yuanyang County features high-value areas clustered at multiple points, median-value areas that surround high-value areas, and low-value areas distributed at the outermost of the circle (Figure 5). High-value areas are mainly distributed around the urban area and towns to form six centers, located in Funingji Town, Yuanxing and Yanghe residential districts, Gebukou Village, Taiping Town-Dabin Town, Qijie Town, and Guanchang Town. The Yuanxing and Yanghe residential district center has the highest function value and is the core area that undertakes the cultivated land leisure service in the county. Adjacent to it is the Gebukou Village center, and the area between the two also has strong service functions, playing the role of coordinated development and integration. Despite its location within the high-value area, the Guanchang Town center is relatively weak in terms of function, and it is surrounded by the largest agglomeration of median-value areas, which closely connect the Guanchang Town center with the Yuanxing and Yanghe center and Gebukou Village center, and the three form the largest cultivated land leisure service function circle in Yuanyang. The Taiping Town–Dabin Town center is the largest area with medium-high values and has the largest service area. However, it has fewer high-value areas, and around it are several median-value areas; together, they form the second largest service circle. The Funingji Town center and the Qijie Town center are relatively isolated, with smaller high-value areas with lower functional intensity. Several service circles have formed around each center, but they are smaller in size and weaker in service functions compared with other circles. Aside from the four service circles, a large agglomeration of median-value areas has formed in some parts of the Funingji Town, Yang’e Village, and Doumen Village. Most of the cultivated land leisure service function low-value areas are distributed at county borders and a few between the circles. The largest number and scope of low-value areas are found along the Yellow River.

3.2.2. Zoning Characteristics of the Cultivated Land Leisure Service Function

The cultivated land leisure service function in Yuanyang County presents a clear spatial differentiation, that is, homogeneous areas are distributed in clusters (Figure 6). The natural breakpoint method was used to calculate the local Gi* indices of the cultivated land leisure service function, and four types of areas, namely, the hot spot, sub-hot spot, sub-cold spot, and cold spot, were divided in order from the highest value to the lowest. The hot spot is the major regional cultivated land leisure service function supply area and radiation center, while the cultivated land leisure service function of the non-hot spots benefits from the radiation of the regional hot spots, and cultivated land in such areas still undertakes the major role of crop production. Therefore, research on cultivated land leisure service function in the study area needs to focus on the hot spots, which present a spatial layout of multicore agglomeration. According to the regional characteristics and zoning of functions, the five hot spots are the Urban Agricultural Central Area (area of Yuanxing and Yanghe residential districts and Gebukou Village), the Ecological Agriculture Core Area (area of Taiping Town and Dabin Town), the Suburban Agritourism Development Area (Funingji Town area), the Yellow River Agritourism Transitional Area (Guanchang Town area), and the Leisure Agriculture Connection Area (Qijie Town area).
The Urban Agricultural Central Area is the tourism service center of the whole county. Its superior geographical location and excellent infrastructure have enabled the leisure function of limited cultivated land resources to be maximized, and thus, the largest hot spot is formed. Many catering, shopping, tourism, and leisure facilities related to cultivated land leisure function are present in this area. Its location allows it to not only benefit from the ample facilities around the county, but also possess a combination of urban and rural landscape and convenient location. The Ecological Agriculture Core Area is a central part of the Yellow River Beach Ecotourism Area. It is one of the few planting areas dominated by paddy fields in the county. With the current booming ecological agriculture and agritourism and thanks to the superior natural landscape and policy guidance, this area is able to undertake diversified cultivated land leisure service functions such as catering, accommodation, and tourism. The mechanisms for the hot spot formation in the Suburban Agritourism Development Area and the Yellow River Agritourism Transitional Area are similar. The two areas have rich cultivated land resources and good natural environment, and both are important nodes that connect the surrounding cities. Their complete road networks and convenient locations have promoted the emergence of the cultivated land leisure service function. The only difference is that the Yellow River Agritourism Transitional Area mainly provides short-term leisure services, most of which are catering services such as farmhouse cooking, while the Suburban Agritourism Development Area mainly provides services such as accommodation. The Leisure Agriculture Connection Area is located in the traditional grain growing area, and its prominent cultivated land leisure service function benefits from its location at the intersection of the interconnected highways that link Yuanyang, Yanjin, and Fengqiu counties. High social mobility has stimulated high demand for catering and accommodation services, and the high-quality cultivated land has brought about many farmers’ markets and flower and plant markets.
The effect of the cultivated land leisure service function is not only affected by the condition of natural resources but is also closely related to location and transportation accessibility. The Ecological Agriculture Core Area is endowed with rich natural resources such as cultivated land, but it has an unfavorable location and poor road conditions. The Urban Agricultural Central Area has limited cultivated land resources, but it is well placed and accessible. Therefore, the effect of the cultivated land leisure service function of the latter is stronger than that of the former. The Leisure Agriculture Connection Area is located in the heartland of the intersection of Yuanyang, Yanjin, and Fengqiu counties, and the Suburban Agritourism Development Area, the Urban Agricultural Central Area, and the Yellow River Agritourism Transitional Area are all located on the axis of the Beijing–Hong Kong–Macau Expressway. Their superior location and transportation conditions can promote the circulation of people and products, drive economic development, and promote the effect of the cultivated land leisure service function.

3.3. Suggestions for Improving the Cultivated Land Leisure Service Function Division

On the basis of the above findings of the cultivated land leisure service function in Yuanyang County, suggestions for improving the service function are presented.
The Urban Agricultural Central Area, on account of its strongest service function and widest range of services, is the core area of the cultivated land leisure service function in the county. The suggestion is to make good use of the existing infrastructure and commercial atmosphere to provide a variety of leisure and entertainment facilities and improve accommodation services. In addition, this area lacks cultivated land resources and most of the land is designated for construction. Therefore, a necessary step is to strictly control the cultivated land occupation by construction and make full use of the limited cultivated land resources, especially paddy field resources, to create a rich and diverse agritourism landscape. Efforts should be made to continuously strengthen the connection between the county urban area and Gebukou Village in terms of leisure service function and promote the coordinated and integrated development of the two places. Doing so can maximize the economies of scale and improve the quality of cultivated land leisure services in the area. However, attention needs to be paid to the differential development of service functions in the two places, that is, the former will focus on providing services, whereas the latter will focus on providing the landscape.
The Ecological Agriculture Core Area has an abundance of natural resources and a certain foundation for the development of cultivated land leisure services, but the potential of its service function supply has not been fully explored. Location and transportation conditions are the major factors that hinder the development of cultivated land leisure services in this area because the road network is sparse and road facilities that connect surrounding cities and counties are inadequate. Disadvantages of location and transportation can be compensated by building roads and bridges and improving the reputation of the region. First, the road network and road accessibility can be improved, and direct routes to surrounding cities (Zhengzhou, Xinxiang) can be increased. Second, establishing and vigorously advocating for local trademarks, such as Golden Sun Rice and Buffalo Rice, are needed. Aside from ensuring the quality of cultivated land leisure service products, the area needs to increase product types and quantities, provide more catering and shopping services, and develop more attractive leisure and tourism products.
The Suburban Agritourism Development Area, the Yellow River Agritourism Transitional Area, and Leisure Agriculture Connection Area have all seen the formation of hot spots due to their location advantages. Catering, shopping services, and accommodation services are important functions that have attracted residents from surrounding cities. Therefore, these three service functions need to be improved continuously. The Suburban Agritourism Development Area should focus on enhancing landscape diversity, improving landscape quality, and improving the road network to expand the service area of the cultivated land leisure function. Compared with the other two areas, the Yellow River Agritourism Transitional Area attracts more tourists. However, it lacks accommodation service products, so it is necessary to make good use of the ecological tourism resources along the Yellow River to address the loss of tourists. The Leisure Agriculture Connection Area is located at the intersection of the three counties. Despite its superior location, its service area has a small scope. The number of leisure and tourism service facilities should be increased to improve the cultivated land leisure service capacity in this area.
Yuanyang County is a traditional major grain-producing county in the Yellow River Basin and has rich high-quality cultivated land resources. Under the current situation where cultivated land leisure services are distributed in multiple cores, the current quantity and quality of cultivated land resources need to be preserved effectively. The types and the number of cultivated land leisure service function products need to be increased and their quality must be improved continuously. To develop the cultivated land leisure service function, the county should break down the barriers set up by administrative boundaries of towns and villages to realize cross-regional cooperative development and actively improve infrastructure such as roads. The Yellow River Basin is endowed with relatively abundant natural resources, and production problems and ecological security threats can be addressed with engineering and technical methods to fully develop the cultivated land leisure service function along the Yellow River. The cultivated land leisure service functions are distributed mostly around urban areas or market towns, indicating that natural products present the characteristics of commercial agglomeration after being transformed into economic products. Therefore, appropriate market economy measures can be adopted to manage and regulate the cultivated land leisure service function.

4. Discussion

The Yellow River is the mother river of China. Therefore, protecting the ecological environment of the Yellow River Basin and promoting the high-quality economic development of the areas along the Yellow River is the primary mission and practical need in our current era. “Lucid waters and lush mountains are invaluable assets” is China’s philosophy for development. However, economic development and ecological conservation are often trade-offs in the process of development. At present, the development of the leisure service industry appears to be an effective environmental protection approach. However, the current evaluation methods for leisure services have certain drawbacks: First, stated preference methods such as CVM are based on consumers’ willingness to pay under certain assumptions, which is both subjective and uncertain. Second, the premise of the revealed preference method is that the resources to be evaluated have already been consumed and thus cannot serve the purpose of resource investigation and overall planning. Third, no consensus has been reached with regard to the use of the index evaluation method in terms of analytical framework and index selection. Rather, great differences exist. Finally, compared with the above methods, spatial data acquisition is relatively simple and spatial data can visually demonstrate regional differences in the evaluation of leisure service function. However, relying on single-type spatial data can easily lead to incomplete and inadequate evaluation. For example, POI data are unable to accurately present ground feature information in a large area, and because POI data can reflect economic performance only, it will by no means contribute to a comprehensive evaluation of the object of study. Therefore, this study selected spatial data from the three dimensions of ecological landscape, social activities, and economic performance, which not only provided more angles to complete the evaluation, but also made up for the inaccurate presentation of POI data. Limited by the availability of data, the most important road network density was selected to represent the social activity dimension, which met the basic measurement needs. With the opening and development of spatial data, different types of data can be selected to represent spatial activities to make this dimension more convincing. In this study, all data were normalized and nondimensionalized to facilitate calculation, which is why the results can only reflect regional differences but are not comparable with the currently used units of measurement. The value of leisure services is an integral part of the macro value of natural resources. Therefore, exploring how the value of cultivated land leisure service function is realized, that is, having the ability to measure the function or value and apply it to social and economic activities, is of great significance to the protection and utilization of natural resources, which is also a key area for future research.

5. Conclusions

(1) The landscape resources in the northern part of Yuanyang County are relatively monotonous, whereas those in the southern part are rich and evenly distributed with great potential for cultivated land leisure services. The spatial accessibility is the highest in the county urban area and presents a distribution of multiple subcores in other areas. The large road network is conducive to the formation of multiple centers of the cultivated land leisure service function. The spatial distribution of cultivated land leisure service supply capacity is characterized by “multiple cores and multiple circles,” most of which are located on the periphery of the urban area and at the intersection with other cities and counties.
(2) The effect of the cultivated land leisure service function in Yuanyang County presents a clear spatial differentiation and is closely related to location and transportation conditions. Hot spots present a spatial layout of multicore agglomeration. These hot spots are the Urban Agricultural Central Area in the urban area, the Ecological Agriculture Core Area in Taiping Town-Dabin Town, the Suburban Agritourism Development Area in Funingji Town, the Yellow River Agritourism Transitional Area in Guanchang Town, and the Leisure Agriculture Connection Area in Qijie Town.
(3) The Urban Agricultural Central Area should strictly control the cultivated land occupation by construction and actively create a rich and diverse agritourism landscape; the Ecological Agriculture Core Area should improve its spatial accessibility and vigorously advocate for local trademarks; the Suburban Agritourism Development Area should focus on enhancing landscape diversity and quality; the Yellow River Agritourism Transitional Area needs to make good use of the ecological tourism resources along the Yellow River to address the loss of tourists; and the Leisure Agriculture Connection Area should expand the scope of its service areas and increase the number of leisure and tourism service facilities.

Author Contributions

Conceptualization, methodology, W.C. and X.G.; software, Y.G.; investigation, data curation, formal analysis, writing—original draft preparation Y.Y.; writing—review and editing, J.W.; supervision, Q.W.; project administration, funding acquisition, X.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 42007003; the Humanities and Social Sciences Project of the Ministry of Education, China, grant number 20YJCZH037; the Science and Technology Research Project of Henan Province, China, grant number 212102310213; the Humanities and Social Sciences Project of Henan Provincial Department of Education, China, grant number 2020-ZZJH-189.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Location and land use of Yuanyang County.
Figure 1. Location and land use of Yuanyang County.
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Figure 2. Spatial landscape pattern analysis in Yuanyang County.
Figure 2. Spatial landscape pattern analysis in Yuanyang County.
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Figure 3. Density analysis of road network in Yuanyang County.
Figure 3. Density analysis of road network in Yuanyang County.
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Figure 4. Kernel density analysis of cultivated land leisure service POI in Yuanyang County.
Figure 4. Kernel density analysis of cultivated land leisure service POI in Yuanyang County.
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Figure 5. Spatial distribution of the cultivated land leisure service function in Yuanyang County.
Figure 5. Spatial distribution of the cultivated land leisure service function in Yuanyang County.
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Figure 6. Zoning of the hot spots of the cultivated land leisure service function in Yuanyang County.
Figure 6. Zoning of the hot spots of the cultivated land leisure service function in Yuanyang County.
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Table 1. Classification of cultivated land leisure service POI in Yuanyang County.
Table 1. Classification of cultivated land leisure service POI in Yuanyang County.
Level 1 ClassificationLevel 2 ClassificationLevel 3 ClassificationNumber of POIs
Catering foodChinese restaurantFarmhouse cooking41
Shopping serviceFarmers’ marketAgricultural products23
Agricultural and sideline products13
Flower, bird, fish, and insect marketFlower and plant nursery16
Accommodation serviceHotel and innInn33
Youth hostel3
Homestay3
ResortFarmhouse6
Companies and businessesCompaniesTravel agency9
Agricultural company12
Agriculture, forestry, animal husbandry, and fishery baseFarm, woods farm, and ranch54
Fruits orchard3
Travel serviceFamous tourist sitesTourism complex9
Tourist attraction3
Park and plazaPark3
Civic plaza8
Healthcare resortNursing home4
Leisure and entertainmentOutdoor activitiesPicking garden39
Camping and fishing9
Other outdoor activities15
Farmhouse resortEcological farm15
Other leisure and entertainmentOther leisure and entertainment13
Table 2. Weight of the cultivated land leisure service function index.
Table 2. Weight of the cultivated land leisure service function index.
Target LayerCriterion LayerFactor Layer
Evaluation of the cultivated land leisure service functionLandscape pattern (0.25)Shannon’s diversity index (0.53)
Shannon’s evenness index (0.47)
Spatial accessibility (0.17)Road network density (1)
Leisure service supply capacity (0.58)Catering food (0.17)
Shopping service (0.21)
Accommodation service (0.15)
Companies and businesses (0.11)
Travel service (0.25)
Leisure and entertainment (0.11)
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Yang, Y.; Wang, X.; Wang, J.; Geng, Y.; Chen, W.; Wu, Q.; Guan, X. Evaluation and Improvement of Cultivated Land Leisure Service Function Based on Multisource Spatial Data. Land 2022, 11, 303. https://0-doi-org.brum.beds.ac.uk/10.3390/land11020303

AMA Style

Yang Y, Wang X, Wang J, Geng Y, Chen W, Wu Q, Guan X. Evaluation and Improvement of Cultivated Land Leisure Service Function Based on Multisource Spatial Data. Land. 2022; 11(2):303. https://0-doi-org.brum.beds.ac.uk/10.3390/land11020303

Chicago/Turabian Style

Yang, Yiming, Xiuli Wang, Jian Wang, Yiwei Geng, Weiqiang Chen, Qun Wu, and Xiaoke Guan. 2022. "Evaluation and Improvement of Cultivated Land Leisure Service Function Based on Multisource Spatial Data" Land 11, no. 2: 303. https://0-doi-org.brum.beds.ac.uk/10.3390/land11020303

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