SHI Xiaoliang,YANG Zhiyong,WANG Xinshuang,et al.Maize Yield Estimation Based on Light Efficiency Model in Songnen Plain, Northeast China[J].Research of Soil and Water Conservation,2017,24(05):385-390.
基于光能利用率模型的松嫩平原玉米单产估算
- Title:
- Maize Yield Estimation Based on Light Efficiency Model in Songnen Plain, Northeast China
- Keywords:
- Songnen Plain; maize yield; remote sensing; light use efficiency
- 分类号:
- S127
- 摘要:
- 区域作物产量估测对于农业用地管理、粮食安全和宏观调控具有重要意义。以中国重要的玉米主产区之一松嫩平原为研究区，利用2001—2013年长时间序列遥感和气象数据，基于光能利用率模型估算玉米生育期5—9月累积地上生物量，进而根据地面实测的玉米收获指数校正，建立了研究区玉米单产估算模型。结果表明：该模型估算结果达到了大范围估产的精度要求；2001—2013年松嫩平原年均玉米单产为12 397.44 kg/hm2，总体呈增加趋势。该区玉米单产空间分布差异显著，总体为西低东高。从玉米单产年际变化的空间分布来看，研究区91.7%的区域玉米单产均有所增加，尤其是在松嫩平原西部的白城、齐齐哈尔等地，增产趋势更为明显。松嫩平原南部地区玉米单产与降水间具有显著的正相关性，但与气温呈负相关性，而研究区其他地区玉米单产与降水和气温相关性不明显。
- Abstract:
- Regional estimation of crop yield is critical for many applications such as agricultural land management, food security and macro-control. In the paper, the accumulated aboveground dry biomass in maize growing season from May to September every year were estimated using the long time sequenced remote sensing and meteorological data from 2001 to 2013 based on light use efficiency. Finally, we built the estimation model of maize yield through converting the calculated ground dry biomass to yield by harvest index. The results showed that the estimated yields can meet the precision requirements for estimating crop yield on a great scale, and it was feasible to predict maize yield by crop biomass based on remote sensing. Average annual maize yield from 2001 to 2013 was 12 397.44 kg/hm2 in Songnen Plain, and the maize yield had increased over recent decades. There was significant spatial difference of maize yield, and the yield of the eastern part of the study area was higher than that of the western part. The spatial distribution of change trend of maize yield in study area from 2001 to 2013 was analyzed, which showed that about 91.7% of the study area presented an increasing yield trend, especially in the west of study area including Baicheng, Qiqihar, etc., where significant increase in maize yield had been seen. The maize yield had a significant positive correlation with the precipitation, and it had an obvious negative with temperature in the southern part of Songnen Plain.However, the maize yield had no obvious relationship with precipitation and temperature in the other area of the plain.
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备注/Memo
收稿日期:2017-01-17;改回日期:2017-02-23。
基金项目:水利部公益性行业科研专项经费项目（201401001）；国家自然科学基金资助项目（51409204）；西安科技大学科研培育基金资助项目（201605，2014008）
作者简介:史晓亮(1985-),男,陕西宝鸡人,讲师,研究方向:资源环境遥感。E-mail:s_xiaoliang@126.com
通讯作者:杨志勇(1979-),男,湖南常德人,教授级高级工程师,主要从事水文水资源、分布式水文模拟,气候变化对水资源影响等基础研究。E-mail:yangzy@iwhr.com