陈晓冰,张洪江,程金花,张福明,张 欣,阮芯竹.基于数量生态学的农地优先路径水平分布特征研究[J].农业机械学报,2015,46(7):130-138.
Chen Xiaobing,Zhang Hongjiang,Cheng Jinhua,Zhang Fuming,Zhang Xin,Ruan Xinzhu.Horizontal Distribution Characteristics of Preferential Flow Paths in Farmland Based on Quantitative Ecology[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):130-138.
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基于数量生态学的农地优先路径水平分布特征研究   [下载全文]
Horizontal Distribution Characteristics of Preferential Flow Paths in Farmland Based on Quantitative Ecology   [Download Pdf][in English]
投稿时间:2014-11-20  
DOI:10.6041/j.issn.1000-1298.2015.07.020
中文关键词:  农地 优先路径 数量生态学 空间点格局分析 分布特征 空间关联性
基金项目:北京高等学校“青年英才计划”资助项目(YETP0750)和国家自然科学基金资助项目(41271300、30900866)
作者单位
陈晓冰 北京林业大学 
张洪江 北京林业大学 
程金花 北京林业大学 
张福明 重庆市四面山森林资源管理局 
张 欣 北京林业大学 
阮芯竹 北京林业大学 
中文摘要:应用数量生态学中的空间点格局分析方法(g(r)函数),经Monte-Carlo随机模拟检验,对三峡库区紫色砂岩区农地(垂直土层深度10~50cm)不同影响半径土壤优先路径水平分布特征、以及与生物活动的空间关联性进行分析。结果表明:同一影响半径的优先路径随土层深度的增加,数量逐渐减少,同一土层随影响半径的增加优先路径的数量逐渐减少;同一土层,较小影响半径优先路径仅在小尺度(0~20mm)上呈聚集分布,但随影响半径和尺度的增加,聚集分布状态逐渐明显;不同影响半径的优先路径随土层深度的增加,也逐渐表现为聚集分布格局,较大影响半径优先路径聚集分布状态显著大于较小影响半径的优先路径;优先路径的分布与形成,不仅受到土壤自身膨胀、干缩等因素影响,而且与生物活动的空间关联性呈正相关关系,对大影响半径(R≥1.0mm)的优先路径影响较大。空间点格局分析法相比CT扫描、土壤水分穿透曲线等测定土壤优先路径的方法更简单易行,所得结果相一致。这种方法能从形态学角度来量化分析土壤优先路径的分布特征,更好地揭示其潜在形成过程。
Chen Xiaobing  Zhang Hongjiang  Cheng Jinhua  Zhang Fuming  Zhang Xin  Ruan Xinzhu
Beijing Forestry University,Beijing Forestry University,Beijing Forestry University,Chongqing Forest Resource Management Bureau of Simian Mountain,Beijing Forestry University and Beijing Forestry University
Key Words:Farmland Preferential flow path Quantitative ecology Spatial point pattern analysis Distribution characteristic Spatial association
Abstract:In order to analyze the horizontal distribution characteristics of different influence radius preferential flow paths and the spatial associations of biological activity in purple sandstone regions of farmland (vertical soil depths of 10~50cm) in Three Gorges Reservoir Area, the spatial point pattern analysis method (g(r) function) of quantitative ecology was used. After the Monte-Carlo stochastic simulation test, the results showed that the number of preferential flow paths with the same influence radius decreased with the soil depth’s decreasing, while the number of preferential flow paths with different influence radii decreased in the same soil layer. The preferential flow paths with lower influence radii only displayed an aggregated distribution at a small scale (0~20mm). But the aggregated distribution was obviously as the increase of influence radius and scales. The preferential flow paths with different influence radii also displayed an aggregated distribution in deeper soil layer. The preferential flow paths with higher influence radius were more significantly aggregated distribution than those with lower influence radius. The distribution and formation of preferential flow paths were not only influenced by the soil swelling and shrinkage, but also exhibited a positive correlation with animal activity in spatial associations, especially the preferential flow paths with larger influence radius (R≥1.0mm). The spatial point pattern analysis method is simpler than CT and soil water breakthrough curves methods to estimate the preferential flow paths. This proposed method can quantitatively analyze horizontal distribution characteristics of the preferential flow paths with morphology and it is better to reveal the underlying formation process.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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