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中国农学通报 ›› 2015, Vol. 31 ›› Issue (20): 153-159.doi: 10.11924/j.issn.1000-6850.casb15030063

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

土壤有效含水量的经验估算模型——以黑土为例

白致威1,段兴武2,丁剑宏1,刘 刚3,师小宁2,冯德泰2,韩 絮2   

  1. (1云南省水利水电科学研究院,昆明 650032;2云南大学亚洲国际河流中心/云南省国际河流与跨境生态安全重点实验室,昆明 650091;3北京师范大学地理学与遥感科学学院/地表过程与资源生态国家重点实验室,北京100875)
  • 收稿日期:2015-03-09 修回日期:2015-07-01 接受日期:2015-05-15 出版日期:2015-07-28 发布日期:2015-07-28
  • 通讯作者: 段兴武
  • 基金资助:
    国家自然科学基金项目“维持可持续土地生产力的定量标准:许土壤流失量”(40671111);国家自然科学基金项目“元江干热河谷区侵蚀对土壤生产力影响的定量研究”(41101267)。

An Experience Estimation Model of Soil Available Water-holding Capacity: A Case Study of Black Soil

Bai Zhiwei1, Duan Xingwu2, Ding Jianhong1, Liu Gang3, Shi Xiaoning2, Feng Detai2, Han Xu2   

  1. (1Yunnan Institute of Water Resources and Hydropower Research, Kunming 650032; 2Asian International Rivers Center,Yunnan University/Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Kunming 650091;3School of Geography, Beijing Normal University/State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing 100875)
  • Received:2015-03-09 Revised:2015-07-01 Accepted:2015-05-15 Online:2015-07-28 Published:2015-07-28

摘要: 土壤有效含水量(AWC)是评价土壤生产力的重要指标,在农业生产实践中具有重要意义,但不同土壤类型的AWC值在当前的土壤数据库中不可获得。笔者以高生产力土壤黑土为例,通过测定不同地形部位黑土的有效含水量,分析了有效含水量的空间分布特征,建立利用土壤理化性质估算黑土有效含水量的经验模型。结果表明:(1)研究区黑土AWC(体积)变化在10.62%~30.98%间,平均20.06%,坡中位置土壤剖面的AWC值显著低于其余剖面;(2)黑土AWC与土壤砂粒含量有负相关性,与土壤容重、土壤粉(砂)粒含量、黏粒含量以及土壤有机质含量间有正相关性,其中与土壤容重的相关性最为显著;(3)基于统计方法建立了利用常规土壤理化性质计算AWC的线性回归式和非线性回归式,对这2个回归式的检验结果表明,利用土壤理化性质估算的AWC与实测结果无显著差异。经验证,本研究构建的经验模型可用于黑土AWC值的估算,从而为其他土壤类型AWC值的研究提供了方法参考。

关键词: MAS手段, MAS手段, 表型鉴定, 稻瘟病评级

Abstract: Soil available water-holding capacity (AWC) is a key index for soil productivity assessment and plays an important role in agricultural production, while AWC values of different soil types were not available in current soil database. The author took black soil as an example, measured AWC of different positions, analyzed the characteristics of spatial distribution of AWC and built the empirical model of AWC related to soil physicochemical properties. The results showed that: (1) the AWC of the research area varied from 10.62% to 30.98%, with an average value of 20.06%, and AWC in the middle slope was significantly lower than that in other landform positions; (2) there was a negative correlation between AWC and sand content, whereas there was an significantly positive correlation between AWC and soil bulk density, powder (sand) content, clay content and organic matter content, and AWC and soil bulk density had the most significant correlation; (3) the inspection results of 2 pedotransfer functions for estimating AWC based on mathematical statistics analysis showed that there was no significant difference between measured AWC and calculated AWC. This study could provide an AWC estimation equation for black soil and a reference method for AWC estimation of other soil types.