地理科学进展 ›› 2020, Vol. 39 ›› Issue (7): 1095-1105.doi: 10.18306/dlkxjz.2020.07.003

• 研究论文 • 上一篇    下一篇

山区耕地细碎化对土地利用集约度影响——以贵州省亚鱼村为例

葛玉娟1(), 赵宇鸾1,2,*(), 李秀彬2   

  1. 1. 贵州师范大学地理与环境科学学院,贵阳 550001
    2. 中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2019-05-17 修回日期:2019-06-24 出版日期:2020-07-28 发布日期:2020-09-28
  • 通讯作者: 赵宇鸾
  • 作者简介:葛玉娟(1994— ),女,蒙古族,内蒙古赤峰人,硕士生,主要研究方向为土地资源利用与管理。E-mail: 986956266@qq.com
  • 基金资助:
    国家自然科学基金项目(41771115);贵州省科技计划项目(黔科合平台人才[2017]5726号);教育部人文社科研究项目(18YJC850010);2015年贵州省“千”层次创新型人才资助项目(111-0317003)

Farmland fragmentation and land use intensity in mountain areas: A case study of Yayu Village, Guizhou Province

GE Yujuan1(), ZHAO Yuluan1,2,*(), LI Xiubin2   

  1. 1. College of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2019-05-17 Revised:2019-06-24 Online:2020-07-28 Published:2020-09-28
  • Contact: ZHAO Yuluan
  • Supported by:
    National Natural Science Foundation of China(41771115);Science and Technology Foundation of Guizhou([2017]5726);The Ministry of Education Humanities and Social Sciences Project(18YJC850010);Guizhou "Thousand" Level Innovative Talents Support Project in 2015(111-0317003)

摘要:

为探索耕地细碎化与土地利用集约度之间的关系,论文以贵州省亚鱼村为例,利用无人机高分辨率影像和农户调查数据,在对比不同通勤距离情景耕地细碎化测度模型准确性的基础上,计算农户耕地细碎化指数,并定量分析不同农户耕地细碎化水平对土地利用集约度的影响。结果表明:对比分析6种通勤距离情景耕地细碎化测度结果,发现农户耕作地块到其宅基地的道路网络距离情景下测度耕地细碎化水平准确度更高;这一情景下亚鱼村平均农户耕地细碎化指数是187.98,该村农户耕作通勤时间成本高;随着农户耕地细碎化程度加剧,农业经营中劳动力投入、资本投入和作物产值呈不同程度的下降趋势,其中资本投入中,耕地细碎化对省工性投入的影响最为显著;山区农业人口乡城迁移背景下农村细碎的耕地资源促使农户加快退出农业生产,导致耕地低效利用,甚至撂荒。

关键词: 耕地细碎化, 土地利用集约度, 路网通达性, 农户, 山区

Abstract:

To explore the relationship between farmland fragmentation and land use intensity, based on unmanned aerial vehicle high-resolution images and household survey data, and by comparing the accuracy of the measurement model of farmland fragmentation under different distance scenarios, this study calculated the farmland fragmentation index for Yayu Village, Guizhou Province and quantitatively analyzed the impact of different levels of farmland fragmentation on land use intensity. The farmland fragmentation measurement results of six distance scenarios show that road network from the farmers' farming plots to their homesteads was more accurate in measuring the level of farmland fragmentation. In this scenario, the average farmland fragmentation index in Yayu Village was 187.98, and time for commuting was high for the farmers. As the degree of farmland fragmentation of farmers intensified, labor input, capital input, and crop output value in agricultural management showed a downward trend in varying degrees. Among the capital inputs, the impact of farmland fragmentation on labor-saving input was most significant. In the context of migration of mountainous agricultural population, the fragmented farmland resources in rural areas had prompted farmers to speed up their withdrawal from agricultural production, resulting in inefficient use of farmland and even land abandonment.

Key words: farmland fragmentation, land use intensity, road accessibility, farming households, mountain areas