地理学报 ›› 2011, Vol. 66 ›› Issue (7): 928-939.doi: 10.11821/xb201107006

• 气候变化 • 上一篇    下一篇

东北三省耕地物候期对热量资源变化的响应

李正国1,2, 唐华俊1,2, 杨鹏1,2, 周清波1,2, 吴文斌1,2, 邹金秋1,2, 张莉1,2, 张小飞3   

  1. 1. 农业部资源遥感与数字农业重点开放实验室, 北京 100081;
    2. 中国农业科学院农业资源与农业区划研究所, 北京 100081;
    3. 中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京 100085
  • 收稿日期:2011-03-16 修回日期:2011-05-12 出版日期:2011-07-20 发布日期:2011-09-07
  • 通讯作者: 杨鹏, 副研究员, E-mail: yangpeng@mail.caas.net.cn E-mail:yangpeng@mail.caas.net.cn
  • 作者简介:李正国(1980-), 男, 江西上饶人, 博士, 主要从事全球变化与农业遥感方面的研究。
  • 基金资助:

    国家重点基础研究发展计划项目(973 计划) (2010CB951502); 国家自然科学基金项目(40930101; 40971218;41001246); 中央级公益性科研院所专项资金项目(IARRP-2011-15)

Responses of Cropland Phenophases to Agricultural Thermal Resources Change in Northeast China

LI Zhengguo1,2, TANG Huajun1,2, YANG Peng1,2, ZHOU Qingbo1,2, WUWenbin1,2, ZOU Jinqiu1,2, ZHANG Li1,2, CHANG Hsiaofei3   

  1. 1. Key Laboratory of Resources Remote Sensing & Digital Agriculture, Ministry of Agriculture, Beijing 100081, China;
    2. Institute of Agricultural Resources & Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    3. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, CAS, Beijing 100085, China
  • Received:2011-03-16 Revised:2011-05-12 Online:2011-07-20 Published:2011-09-07
  • Supported by:

    National Basic Program of China (973 Program), No.2010CB951502; National Natural Science Foundation of China, No.40930101; No.40971218; No.41001246; Ministry of Finance of China through Non-profit National Research Institute, No. IARRP-2011-015

摘要: 选取1998-2010 年期间的SPOT/VGT NDVI逐旬时间序列数据、物候观测数据和气候数据,利用函数拟合方法、GIS空间分析和统计方法,分析了东北三省不同耕地物候期对热量资源变化的响应关系。首先,基于拟合数据提取了耕地物候期特征(包括生长季开始期、峰值期、结束期与生长季长度等),验证结果显示与不同作物的观测物候期存在明显对应关系,能较好地反映作物物候期特征的宏观时空分异。其次,分析了1991-2009 年期间区内主要农业热量资源(≥ 10 oC初日,初霜日,温度生长期天数和≥ 10 oC积温) 的时空变化特征。最后,重点分析了1998-2009年期间耕地物候期特征对热量资源变化的响应。结果表明,生长季开始期与≥10 oC初日在松嫩平原北部、三江平原东部和吉林省中东部的正相关系显著(P < 0.01);生长季长度与温度生长期天数亦在上述区域内表现为显著正相关关系(P < 0.05);然而,生长季结束期与初霜日的相关关系整体上较不明显;此外,生长季长度与≥ 10 oC积温的相关关系存在两种相反的情形,在松嫩平原西北部、三江平原、吉林省中部和辽宁省中部的负相关关系显著(P < 0.05),而黑龙江省中南部和三江平原部分区域,两者相关系数达到0.55 (P < 0.05),分别反映了作物生长发育周期的缩短态势和中早熟作物被中晚熟作物替代的趋势。

关键词: 耕地物候期, SPOT/VGT, NDVI时间序列, 气候变化, 东北三省

Abstract: In this study, by using the SPOT/VGT NDVI ten-day composed time-series data, observed crop phenophases and climate data collected from 1998 to 2010, we investigate the responses of cropland phenophases to agricultural thermal resources change in Northeast China. Firstly, the seasonality parameters, such as the start date, the end date, the peak date and length of the growing season, were extracted from the smoothed NVDI time-series dataset and showed a close correlation with the observed crop phenophases; Secondly, the spatio-temporal trends of the major agricultural thermal resources in Northeast China were illustrated and analyzed over the past 20 years; Thirdly, we focus on the responses of cropland phenophases to agricultural thermal resources change. The results show that the start date of growing season has a significant positive correlation with the first date of the temperature ≥ 10 oC (P < 0.01), especially in the northern part of Songnen Plain, eastern part of Sanjiang Plain and central-eastern part of Jilin Province. As for extracted length of growing season and observed days of growing period, significant correlations can be found in the same regions. However, notability check shows that there are no significant correlations between the end date and the first frost date in the study area. Opposite correlations are observed between the length of growing season and the accumulated temperature ≥10 oC. In the northern part of Songnen Plain, eastern part of Sanjiang Plain and central part of Jilin and Liaoning provinces, positive correlation coefficients are higher than the critical value of the level of 0.05, while negative correlation coefficients reach the level of 0.55 in central-southern part of Heilongjiang Province and some parts of Sanjiang Plain.

Key words: cropland phenophases, SPOT/VGT, NDVI time series, climate change, Northeast China