黄思琴,陈英,张仁陟,吴玮,魏晨.基于景观指数的耕地细碎化与农业经济水平的空间相关性分析[J].干旱地区农业研究,2015,33(3):238~244 |
基于景观指数的耕地细碎化与农业经济水平的空间相关性分析 |
Spatial correlation analysis of land fragmentation and agriculture development based on landscape indexes |
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DOI:10.7606/j.issn.1000-7601.2015.03.38 |
中文关键词: 耕地细碎化 空间相关 景观指数 农业经济水平 |
英文关键词:land fragmentation spatial autocorrelation landscape index agricultural development |
基金项目:国家自然科学基金(71263003);甘肃农业大学青年导师基金(GAU-QNDS-201201) |
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中文摘要: |
为了探索耕地细碎化与农业经济水平的空间相关关系,为耕地的适度化规模经营提供一定的参考依据,该文基于2010年民乐县土地利用现状图,获得民乐县耕地细碎化6个景观指数,运用主成分分析降维得到能够代表耕地细碎化的2个主成分指标,分析了耕地细碎化与农业经济水平的空间相关性规律。结果表明:(1) 第一主成分F1与斑块数量、斑块密度、斑块平均面积、聚集度指数的载荷值大于80.2%,代表面积与分布指标;第二主成分F2与面积加权形状因子,面积加权分维数的载荷值大于96.6%,代表形状指数。(2) F1—农户人均纯收入,F1—第一产业增加值的双变量全局莫兰指数分别为0.449、0.442,F1与农业经济水平指标在空间上呈正相关关系。F2—农户人均纯收入,F2—第一产业增加值的双变量全局莫兰指数分别为0.467,0.5,F2与农业经济水平指标在空间上呈正相关关系。由此可见,耕地细碎化与农业经济水平在空间上呈正相关关系,空间耦合性很好。 |
英文摘要: |
Based on the six land fragmentation indices from current land use map of Minle country in 2010, the study aims to investigate the spatial correlation between land fragmentation and agriculture development, and provide a reference for moderate scale of land management, using two principle component indexes that could present land fragmentation according to the principle component analysis. The results showed that (1) the load value between the first principle component F1 and the number of patch, patch density, average patch area and aggregation index were higher than 80.2%, which represented the area and distribution; the load value between the second principle component F2 and the area weighting shape factor, the area weighting patch fractal dimension were higher than 96.6%, which represented the shape index. The bivariate global Moran’ index of F1-per capital net income of farmers and F1-added value of the first industry were 0.449 and 0.442, respectively, which showed a positive spatial correlation between F1 and agricultural development. (2) The bivariate global Moran’ index of F2-per capital net income of farmers and F2-added value of the first industry were 0.467 and 0.5, respectively, showing a positive spatial correlation between F2 and agricultural development. Therefore, there was a positive spatial correlation between land fragmentation and agricultural development, and they matched well in terms of spatial coupling. |
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