摘要
在生态网络架构下以运输成本最小为目标函数构建虚拟耕地流动模拟模型,采用空间分析中的OD矩阵方法进行求解,通过2001—2015年虚拟耕地流量关系矩阵,从省际和区际两个层面解析虚拟耕地流动格局特征,并利用生态网络安全系统评价的思路,探讨虚拟耕地流动格局网络的稳定性和可持续性。结果表明:①在区际层面,东北、华中和华北地区是虚拟耕地的主要流出区,其中,东北地区主要流向华东和华北;华中地区主要流向华南和华北;华南、华北和华东是我国虚拟耕地的主要流入区,其中,华东华北和华东地区的输入量主要来自于东北,华南地区主要来自于东北和华中地区。②在省际层面,黑龙江、吉林、内蒙古、河南与安徽为主要虚拟耕地净流出省,其流出量之和占总流出量的比例为83.539%。其中,黑龙江主要流向江苏、浙江、北京;吉林主要流向北京和浙江;内蒙古主要输流向山西、广东;河南主要流向广东。北京、上海、浙江、广东、福建为主要虚拟耕地净流入省,其流入量之和占总流入量的比例为65.471%。其中,北京、天津、上海主要来自黑龙江与吉林,浙江主要来自于东三省地区,广东主要来自于河南,福建主要来自于黑龙江。③虚拟耕地流动格局网络系统的信道数目保持稳定,系统聚合度与冗余度、系统网络利用率均呈波动上升趋势,系统网络空闲率呈下降趋势。这表明虚拟耕地流动网络系统的稳定性在研究期内整体上呈现增加的态势。
The Virtual Cultivated Land Flow Model is constructed with the minimum transportation cost as the objective function from the perspective of the ecological network architecture,the OD matrix analysis method in spatial analysis is used to solve the equations.This paper analyzes the characteristics of the flow pattern of virtual cultivated land at the interprovincial and interregional levels through the relationship matrix from 2001 to 2015.This paper also explores the stability and sustainability of virtual cultivated land flow pattern network by using the idea of ecological network security system evaluation.The results show that:1)At the interregional level of the virtual cultivated land flow pattern,Northeast,Central China and North China were the main outflow areas of virtual cultivated land flow.Among them,the virtual cultivated land of Northeast China mainly flowed to East and North China.The virtual cultivated land of Central China mainly flowed to South and North China.South,North and East China were the main inflow areas of virtual cultivated land in China.Among them,the inputs of East,North and East China mainly came from the Northeast,and that of South mainly came from the Northeast and Central China.2)At the interprovincial level of the virtual cultivated land flow pattern,Heilongjiang,Jilin,Inner Mongolia,Henan and Anhui were the main net outflow provinces of virtual cultivated land,and the sum of the outflow accounted for 83.539%of the total outflow.Among them,the virtual cultivated land of Heilongjiang mainly flowed to Jiangsu,Zhejiang,and Beijing;the virtual cultivated land of Jilin mainly flowed to Beijing and Zhejiang;the virtual cultivated land of Inner Mongolia mainly flowed to Shanxi and Guangdong;and the virtual cultivated land of Henan’s virtual cultivated land mainly flowed to Guangdong.Beijing,Shanghai,Zhejiang,Guangdong and Fujian were the main virtual cultivated land net inflows provinces of cultivated land,and the ratio of the net inflow to the total inflow was 65.471%.Among them,the inputs of Beijing,Tianjin and Shanghai were mainly from Heilongjiang and Jilin,the inputs of Zhejiang was mainly from the three provinces,and that of Guangdong was mainly from Henan,and Fujian was mainly from Heilongjiang.3)Stability results.The number of channels in the virtual cultivated land flow pattern network system remained stable on the whole,mostly was 15.The degree of aggregation and redundancy of the system showed a fluctuating upward trend.The utilization rate of the system network was on the rise,and the idle rate of the system network was on the decline.The network system indicators showed that the stability of the network system formed by the virtual cultivated land flow of the main agricultural products in China had gradually increased during the research period.
作者
梁流涛
唐林昊
李士超
李东阳
曹治
李亚婷
LIANG Liutao;TANG Linhao;LI Shichao;LI Dongyang;CAO Zhi;LI Yating(Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions,Ministry of Education,Kaifeng 475004,Henan,China;College of Environment and Planning,Henan University,Kaifeng 475004,Henan,China;Key Research Institute of Yellow River Civilization and Sustainable Development,Henan University,Kaifeng 475004,Henan,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2020年第1期140-149,共10页
Economic Geography
基金
国家自然科学基金项目(41771565)
国家自然科学基金项目(41601120)
河南省高校科技创新人才(人文社科类)支持计划(2019-cx-014).
关键词
虚拟耕地
生态网络架构
跨区域流动
粮食贸易
粮食安全
运输成本
生态补偿
virtual cultivated land
ecological network architecture
interregional flow
food trade
food security
transportation cost
ecological compensation
