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地理学报    2018, Vol. 73 Issue (9): 1630-1646     DOI: 10.11821/dlxb201809002
  土地利用 本期目录 | 过刊浏览 | 高级检索 |
三峡库区规模农地时空变化特征及其驱动机制
梁鑫源1(),李阳兵1,2()
1. 重庆师范大学地理与旅游学院,重庆 401331
2. 三峡库区地表过程与环境遥感重庆市重点实验室,重庆 401331
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
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摘要 

探讨库区农地利用的转型及其机制,可反映中西部结合带、山区、库区的农村变化和人与环境关系的变化,为典型山区的农业多功能转型发展方向提供科学依据。选取三峡库区腹地5个区县为研究区,通过定义“规模农地”相关概念,利用ArcGIS 10.2软件并结合SPSS、地理空间探测器等技术手段对规模农地的变化与机制进行分析。研究发现:规模农地的转移来源主要由耕地和灌木林地组成,除部分高山反季节蔬菜,规模农地的增长一般发生在低海拔地区,且在坡度30°范围内均有分布;不同类型的规模农地空间变化有所不同,但均与道路和乡镇级行政中心的关系明显。斑块水平上,高程、坡度等自然因素对规模农地的贡献相对较大;乡镇水平上以道路交通、农业人口密度等社会经济与人文因素驱动力为主;区域水平上,各区县的驱动因子影响力较研究区整体尺度更为显著。规模农地的变化与发展受多种因素驱动,但农业政策始终是各驱动因素的主导,不同水平的行为主体会促使规模农地发展趋向不同的方向,但原则上均受国家农业发展现状与政府政策导向影响。

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梁鑫源
李阳兵
关键词 三峡库区农地功能转型时空变化特征驱动机制 
Abstract

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.

Key wordsThree Gorges Reservoir Area    function transformation of agricultural land    spatio-temporal features    driving mechanism
收稿日期: 2017-09-18      出版日期: 2018-09-19
基金资助:重庆市基础与前沿研究计划项目(cstc2015jcyjBX0128);重庆师范大学研究生科研创新项目(YKC17020)
引用本文:   
梁鑫源, 李阳兵 . 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.
LIANG Xinyuan, LI Yangbing . 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.
链接本文:  
http://www.geog.com.cn/CN/10.11821/dlxb201809002      或      http://www.geog.com.cn/CN/Y2018/V73/I9/1630
Fig. 1  研究区概况及调研地点
Tab. 1  规模农地识别标准
斑块类型 2009年 2016年
平均最近指数
(MNN)
面积加权平均斑块
分维数(AWMPFD)
聚集度
(AI)
平均最近指数
(MNN)
面积加权平均斑块
分维数(AWMPFD)
聚集度
(AI)
经果林 633.2241 1.1314 93.8118 378.2331 1.1317 93.0595
蔬菜 1163.598 1.1284 95.7432 897.6768 1.1263 95.412
茶叶 1757.11 1.1088 94.0551 1248.707 1.1106 93.7561
烟叶 732.662 1.1141 95.6107 528.1059 1.1156 95.5146
药材 393.2689 1.1148 95.7202 282.6618 1.1157 95.6314
Tab. 2  各类型规模农地景观格局指数
Fig. 2  2009年与2016年研究区不同类型规模农地空间分布
Fig. 3  指标选取
Fig. 4  研究区地理探测因子类别化空间分布
Fig. 5  2009年研究区土地利用类型图与规模农地增长来源
Fig. 6  研究区规模农地空间变化规律
注:面积占比表示缓冲区内面积变化量与研究时段内面积变化总量的比例
Fig. 7  不同水平各影响因素Wald统计值
探测因子 研究区 奉节县 开州区 巫山县 巫溪县 云阳县
T1 0.05 0.25 0.14 0.14 0.13 0.11
T2 0.03 0.28 0.14 0.18 0.01 0.39
T3 0.02 0.12 0.22 0.06 0.49 0.16
T4 0.07 0.11 0.17 0.08 0.28 0.24
T5 0.03 0.17 0.06 0.20 0.26 0.35
T6 0.02 0.17 0.04 0.23 0.09 0.20
T7 0.05 0.32 0.26 0.10 0.21 0.09
T8 0.01 0.17 0.07 0.25 0.34 0.08
T9 0.04 0.15 0.09 0.35 0.08 0.09
T10 0.03 0.02 0.15 0.09 0.01 0.05
Tab. 3  探测因子影响力
Fig. 8  探测因子决定力等级
Fig. 9  区域农地利用转型
奉节县 开州区 巫山县 巫溪县 云阳县
经果林 57.89 13.27 12.04 0.37 16.43
蔬菜 15.12 38.53 19.71 10.31 16.33
茶叶 19.89 24.21 27.19 28.72 0.00
烟叶 16.36 0.11 42.34 40.98 0.21
药材 21.40 19.23 14.58 39.64 5.15
规模农地 38.89 18.48 18.21 11.04 13.38
Tab. 4  各区县规模农地比例(%)
Fig. 10  规模农地变化驱动机制及其政策响应
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