首页|农旅融合背景下的汉王镇绿色基础设施优化方法研究

农旅融合背景下的汉王镇绿色基础设施优化方法研究

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绿色基础设施作为一项维护生态环境的重要举措,其对产业的发展、经济的增长也具有明显的作用.目前传统的绿色基础设施构建方法是基于垂直和水平生态过程相结合的方法,对于生态系统复杂性以及绿色基础设施对于产业的带动作用考虑不足.如何在考虑到生态系统复杂性的同时发挥绿色基础设施对于产业的带动作用,是本文研究的重点.汉王镇作为我国极具代表的农旅产业主导型村镇,近年来村镇生态安全格局破坏较为明显,绿色基础设施没有发挥出对于产业的带动效应.因此本文以汉王镇为研究区,以第三次全国土地调查数据为基础,结合相关统计数据,从农、旅产业角度出发,以生态系统服务为桥梁,对现有的绿色基础设施构建方法进行优化完善,最终根据优化结果提出优化策略.研究结果表明:(1)优化方法能够较全面地考虑到环境因素的影响,并且将生态服务价值以货币的形式客观地反映出来,以直观的价值来反映生态环境保护的重要性,加强广大人民对于生态环境保护的意识.(2)生态因子选择考虑到汉王村镇当地的特色产业,适当地加入与产业相关的生态因子,使得以生态系统服务为基础的生态源地识别更加具有科学性,也能够为当地居民带来更多福利.(3)新构建的绿色基础设施充分考虑到了旅游景点对于生态廊道所起的景观、生态、旅游等作用,并且在所选取的生态节点中有6处旅游景点,形成了一个集聚经济功能的生态网络空间,进而使得生态服务功能得到更好的发挥.本研究能够有效解决传统绿色基础设施构建方法存在的不足,并对目前汉王镇绿色基础设施建设存在的问题提出优化策略,同时也可以为其它地区农业类、生态旅游类村镇的绿色基础设施构建工作提供参考借鉴.
Optimization Method for Green Infrastructure in Hanwang Town in the Context of the Integration of Agriculture and Tourism
As an important measure for maintaining the ecological environment,green infrastructure also plays a significant role in industrial development and economic growth.The current traditional green infrastructure con-struction method is based on a combination of vertical and horizontal ecological processes,but it does not take into account the complexity of the ecosystem or the motivating effect of green infrastructure on industry.This study in-vestigated how green infrastructure can play the leading role in industry while considering the complexity of the ecosystem.Hanwang Town is the most representative village and town in China with the leading agricultural tour-industry,and it is located in the northern part of Jiangsu Province.However,the ecological security patterns of vil-lages and towns have been severely damaged in recent years,and the green infrastructure has not played a role in industry.Therefore,taking Hanwang Town as the research area,the data of the third national survey were combined with relevant statistical data.Then,from the perspective of the agriculture and tourism industries,eco-system services were used as a bridge to improve the recent green infrastructure construction methods,and finally better strategies are proposed according to the optimization results.The research results revealed three important aspects of this system.(1)The optimization method can comprehensively consider the impact of environmental factors,objectively reflect the value of ecological services in the form of currency,reflect the importance of environmental protection with intuitive values,and enhance people's awareness of ecological protection.(2)The selection of ecological factors takes into account the local characteristic industries of Hanwang villages and towns,and adding the appropriate industry-related ecological factors makes the identification of ecological sources based on ecosystem services more scientific,and can also bring benefits to the local residents.(3)The newly constructed green infrastructure fully takes into account the landscape,ecology,tourism and other roles played by tourist at-tractions on the ecological corridor.There are six tourist attractions in the selected ecological nodes,forming an ecological network space with an agglomeration economic function,and this allows the ecological service function to better integrated.The findings of this research can effectively solve the shortcomings of the traditional green infra-structure construction methods,and reveal optimization strategies for the problems existing in the current green infra-structure construction in Hanwang Town.At the same time,they can also provide a reference for the green infra-structure construction of agricultural and eco-tourism villages and towns in other regions.

integration of agriculture and tourismgreen infrastructureoptimization methodsecological service valueHanwang Town

储云、龚亚西、方焕焕、贺钰焜、佟帅、唐苏敏、季翔

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中国矿业大学建筑与设计学院,江苏徐州 221000

中国矿业大学力学与土木工程学院,江苏徐州 221000

海南师范大学,海口 571158

江苏省建筑技术职业学院,江苏省建筑节能与建造技术协同创新中心,江苏徐州 221000

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农旅融合 绿色基础设施 优化方法 生态系统服务价值 汉王镇

国家重点研发计划Doctoral Research Fund of Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology

2018YFD1100203SJXTBZ1709

2024

资源与生态学报(英文版)
中国科学院地理科学与资源研究所

资源与生态学报(英文版)

CSTPCD
影响因子:0.388
ISSN:1674-764X
年,卷(期):2024.15(2)
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