Spatial differentiation of urban agricultural ecosystem services - a case study of Xi'an metropolitan zone.

Q3 Agricultural and Biological Sciences
Feng HaiJian, Zhou Zhong-xue
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引用次数: 5

Abstract

In recent years,study of urban agriculture has shifted from definition,characterization and its services to development evaluation,modeling,spatial distribution and ecological security.It has also shifted from qualitative analysis to quantitative research.Most studies on spatial differentiation of urban agriculture have mainly focused on spatial distribution of specific industries to show urban agricultural spatial regulation.However,spatial differentiation research in terms of services is few.Thus exploring spatial distribution of urban agricultural services is critical for breakthrough discoveries in spatial characteristics of urban agriculture,as well as spatial rules of urban agro-ecosystem services.This study was designed in that effort,to explore the governing laws of spatial distribution of urban agricultural ecosystem services.It aimed to accomplish rational spatial distribution and optimization of urban agricultural ecosystem services by coordinating urban agricultural development and urban social and economic functional services.In reference to previous studies and current circumstances of urban agricultural development in Xi'an metropolitan zone,this paper set up an evaluation index system to quantify urban agricultural ecosystem services.The services included production,economy,employment,culture and recreation,and ecological services.In order to show the spatial characteristics of urban agricultural ecosystem services at a high spatial precision,the paper used ArcGIS-based grid(0.5 km × 0.5 km) analysis to map spatial differentiation of each services of urban agriculture in Xi'an metropolitan zone.Driven by the distribution of agricultural resources and differentiation of urbanization level,production and economic services were higher in plain areas than in mountain and loess hilly-gully regions.These services gradually increased from southwest to northeast and from suburban plains to outer-suburb plains.Based on differentiation of urban agricultural land types,production efficiency and urbanization level in each county,the employment service increased from suburban plains to outer-suburb plains,with lower values for Qinling Mountains than those for plain areas.Different rationalities of spatial distribution were noted in regional social stability.Culture and recreational services showed the core-periphery distribution patterns,driven by law of decay with distance.Roads,rivers and scenic spots constituted further distribution patterns of group concentration,shaft strips or shaft agglomeration.Based on topography and level of urbanization,ecological service decreased from edge-zone to center zone of city circle.Urban agriculture in outer-suburbs constituted of ecological shelter zone of Xi'an metropolitan zone.After mastering the laws and the current conditions of spatial distribution of urban agricultural ecosystem services,it was critical to evaluate the rationality of spatial distribution of urban agricultural ecosystem services in the study area.
城市农业生态系统服务功能空间分异——以西安都市圈为例
近年来,对都市农业的研究从定义、特征及其服务转向发展评价、建模、空间分布和生态安全。它也从定性分析转向了定量研究。大多数关于都市农业空间分异的研究主要集中在特定产业的空间分布上,以显示都市农业的空间调控。然而,针对服务业的空间分异研究较少。因此,探索城市农业服务的空间分布,对于突破性地发现城市农业的空间特征和城市农业生态系统服务的空间规律至关重要。本研究旨在探讨城市农业生态系统服务空间分布规律。通过协调城市农业发展与城市社会经济功能服务,实现城市农业生态系统服务的合理空间分布和优化。本文在借鉴前人研究和西安都市圈都市农业发展现状的基础上,构建了量化西安都市圈都市农业生态系统服务的评价指标体系。服务内容包括生产服务、经济服务、就业服务、文化娱乐服务和生态服务。为了以较高的空间精度展现城市农业生态系统服务功能的空间特征,采用基于arcgis的网格(0.5 km × 0.5 km)分析,绘制了西安都市圈城市农业各服务功能的空间分异图。在农业资源分布和城市化水平分化的驱动下,平原区的生产和经济服务高于山地和黄土丘陵沟壑区。这些服务由西南向东北、由近郊平原向远郊平原逐渐增加。基于各县城市农业用地类型、生产效率和城市化水平的差异,就业服务从近郊平原向远郊平原增加,秦岭地区的就业服务值低于平原地区。区域社会稳定空间分布的合理性存在差异。文化娱乐服务呈现核心-外围分布格局,受距离衰减规律驱动。道路、河流、景区构成了群集中、竖条或竖条集聚的进一步分布格局。基于地形和城市化水平,城市圈的生态服务功能由边缘区向中心区递减。远郊都市农业构成了西安都市圈的生态庇护区。在掌握研究区城市农业生态系统服务功能空间分布规律和现状后,评价研究区城市农业生态系统服务功能空间分布的合理性至关重要。
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来源期刊
Chinese Journal of Eco-agriculture
Chinese Journal of Eco-agriculture Environmental Science-Ecology
CiteScore
2.70
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0.00%
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