| 北京地区气候变化和植被的关系——基于遥感数据和物候资料的分析 |
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| 引用本文： | 张学霞,葛全胜,郑景云.北京地区气候变化和植被的关系——基于遥感数据和物候资料的分析[J].植物生态学报,2004,28(4):499-506. |
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| 作者姓名： | 张学霞 葛全胜 郑景云 |
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| 作者单位： | (1 北京林业大学水土保持学院，北京 100083)(2 中国科学院地理科学与资源研究所，北京100101) |
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| 基金项目： | 国家自然科学基金，中国科学院专项基金，中国科学院知识创新工程项目 |
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| 摘 要： | 气候变化对陆地生态系统的影响及其反馈是全球变化研究的焦点之一。本文利用1951～2000年的气温、降水等气候资料、1982～2000年的NOAA/AVHRR遥感数据和1951～2000年北京春季物候的代表性指标——山桃（Prunus davidiana）始花的物候数据，分析了在年际和年内时间尺度上北京地区各气候参量与植被变化之间的关系。结果显示：植物生长与温度之间的关系远比其与降水之间的关系密切；各气候参量和植被生长状况之间的关系因时间尺度而不同。1)月际水平上，具有显著生态学意义的气候指标对植被生长状况的影响更明显。2)温度与NDVI指标的相互作用最大为零时滞：年际水平上，影响时效约为1年；月际水平上，约为1个月。3)植物物候期与温度之间的关系远比其与降水之间的关系密切。年际尺度上，气候参量和植物物候期的相互作用是同时的，其中气温的影响时效为2年；月际尺度上，实际温度和植物物候期的相互作用时效约为1个月。
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| 关 键 词： | NDVI气候变化 山桃始花物候期 时滞互相关分析 |
| 收稿时间： | 2003-04-24 |
| 修稿时间： | 2003年4月24日 |
RELATIONSHIPS BETWEEN CLIMATE CHANGE AND VEGETATION IN BEIJING USING REMOTE SENSED DATA AND PHENOLOGICAL DATA |
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| ZHANG Xue-Xia,GE Quan-Sheng and ZHENG Jing-Yun.RELATIONSHIPS BETWEEN CLIMATE CHANGE AND VEGETATION IN BEIJING USING REMOTE SENSED DATA AND PHENOLOGICAL DATA[J].Acta Phytoecologica Sinica,2004,28(4):499-506. |
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| Authors: | ZHANG Xue-Xia GE Quan-Sheng and ZHENG Jing-Yun |
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| Affiliation: | (1 College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China) |
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| Abstract: | Vegetation is the most active component of natural ecosystems and is highly responsive to many factors such as atmospheric conditions, water availability, and soil factors; thus, vegetation is a sensitive indicator of environmental change in terrestrial ecosystems. With growing concerns on global change and global warming, more and more scholars are focusing their research on understanding how plants respond to environmental change. Based on climate data collected from 1951 to 2000, NOAA/AVHRR NDVI data from 1982 to 2000 and flowering phenophase data for Prunus davidiana collected from 1951 to 2000 in Beijing, relationships between climatic factors and vegetation at different time scales were investigated. The purpose of the study was to assess the impacts of climate change on vegetation and feedbacks between land cover changes and climate to better understand the effects of global change. Time lag cross-correlation analyses were used to examine time lags in climatic factors and NDVI, and P. davidiana flowering phenophase. Our statistical analyses indicated that at different temporal scales different relationships between climate factors and growing conditions of plants were found. On an annual scale, there were no differences between actual temperature or effective temperature and actual precipitation or effective precipitation and their relationship to vegetation. Relationships between effective temperature, effective precipitation and vegetation were the highest when examined at the scale of a month. The highest correlation between NDVI and temperature occurred when the time lag was zero. At the scale of a year, the influencing threshold was about one year while at the scale of a month it was about one month. Land surface temperature in Beijing had a statistically more meaningful relationship with NDVI and the flowering phenophase than with precipitation. At the scale of a year, the influencing threshold between climate factors and plant phenophase was two years, whereas at the scale of a month, the influencing threshold between actual temperature and plant phenophase was about one month. |
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| Keywords: | NDVI |
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