地理研究 ›› 2011, Vol. 30 ›› Issue (1): 172-184.doi: 10.11821/yj2011010017

• 地球信息科学 • 上一篇    下一篇

基于森林详查与遥感数据降尺度技术估算中国林龄的空间分布

戴铭1,2, 周涛1,2, 杨玲玲2, 贾根锁3   

  1. 1. 地表过程与资源生态国家重点实验室 (北京师范大学),北京 100875;
    2. 民政部/教育部减灾与应急管理研究院,北京 100875;
    3. 中国科学院东亚区域气候-环境重点实验室,北京 100029
  • 收稿日期:2009-12-07 修回日期:2010-05-26 出版日期:2011-01-20 发布日期:2011-01-20
  • 通讯作者: 周涛(1972-),湖南冷水江人,博士,教授。E-mail:tzhou@bnu.edu.cn
  • 作者简介:戴铭(1986-),男,浙江省开化县人,研究生,主要从事遥感监测与森林生态系统碳循环研究。E-mail :daiming@mail.bnu.edu.cn
  • 基金资助:

    国家自然科学基金(30970514、40671173、30590384);中国科学院东亚区域气候-环境重点实验室开放课题

Spatial pattern of forest ages in China retrieved from national-level inventory and remote sensing imageries

DAI Ming1,2, ZHOU Tao1,2, YANG Ling-ling2, JIA Gen-suo3   

  1. 1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
    2. Academy of Disaster Reduction and Emergency Management,Ministry of Civil Affairs & Ministry of Education, Beijing 100875, China;
    3. Key Laboratory of Regional Climate -Environment Research for Temperate East Asia (RCE-TEA), CAS, Beijing 100029, China
  • Received:2009-12-07 Revised:2010-05-26 Online:2011-01-20 Published:2011-01-20

摘要: 森林的林龄结构及空间分布是评估区域尺度森林生态系统碳汇潜力的重要参数。以第五次全国森林详查获取的省级优势树种的平均林龄及分布面积为基础,以同期生长季节的NOAA/AVHRR NDVI遥感数据为辅助,在空间降尺度统计技术的支持下,得出了全国8 km分辨率下的森林林龄的定量分布。结果表明:中国林龄在空间分布具有很大异质性。东南地区的林龄较低,省平均林龄主要介于20~30年。林龄大于120年的森林主要分布在四川中部及新疆西北部地区。西藏东南部、黑龙江西北部、内蒙古东北部以及云南南部地区的林龄介于两者之间,其值大多介于70~120年。从全国范围看,森林的林龄主要介于10~80年,其面积占森林总面积的85.4%,其中林龄在20~40年之间的森林面积占35.3%。全国总的平均林龄为40.6年,标准差为26.6年,在概率分布上呈现单峰非正态分布。

关键词: 林龄, 森林详查, 降尺度, NDVI, 碳汇

Abstract: The structure and spatial distribution of forest age are important parameters for assessing carbon sequestration potential of forest ecosystems at regional scale.In this study, we tried to estimate those parameters based on survey data of the average forest age and area of dominant tree species retrieved from detailed investigation of the fifth national forest at provincial level, along with the growing season NDVI data derived from NOAA AVHRR sensors in the same period. We then analyzed the spatial patterns of forest ages in China with remote sensing downscaling techniques. The results indicate that the spatial distribution of forest ages showed significant heterogeneity. The forest age of southeast China was lower than that of rest of the country, with average values ranging from 20 to 30 years. The forests aged over 120 years are mainly distributed in central Sichuan and northwestern Xinjiang. And the forest ages of the southeastern Tibet, northwestern Heilongjiang, northeastern Inner Mongolia and southern Yunnan are mostly between 70-120 years. From the national-level perspective, the main forest age is ranged from 10 to 80 years, with their area accounting for 85.4% of the total forest area. The area of forest aged 20-40 years accounted for 35.3% of the total forest area. The average forest age was 40.6 years in China, whose standard deviation is 26.6 years. As for the probability, Chinese forest ages showed a single peak of abnormal distribution.

Key words: forest age, national-evel inventory, downscaling, NDVI, carbon sink