| 基于森林资源清查资料的生物量估算模式及其发展趋势 |
| |
| 引用本文： | 赵敏,周广胜.基于森林资源清查资料的生物量估算模式及其发展趋势[J].应用生态学报,2004,15(8):1468-1472. |
| |
| 作者姓名： | 赵敏 周广胜 |
| |
| 作者单位： | 中国科学院植物研究所植被数量生态学重点实验室,北京,100093 |
| |
| 基金项目： | 国家重点基础研究发展规划项目 (G19990 43 40 7)，国家自然科学基金资助项目 ( 3 0 0 2 80 0 1,4990 5 0 0 5 ,40 2 3 10 18) |
| |
| 摘 要： | 基于森林资源清查资料的森林生物量估算是在景观、区域甚至全球尺度上评估森林碳收支的重要手段。且在陆地生态系统碳循环和全球变化研究中起着十分重要的作用．对3种常见的基于森林资源清查资料估算生物量的方法及其不足进行较为系统概述的基础上，指出了其未来的研究方向：1)综合考虑森林生物学因素与非生物学因素对森林生物量的影响，特别是蓄积量和林龄，以及气候因子在估算生物量中的作用；2)明确森林总生物量与活立木生物量的关系；3)建立基于森林资源清查资料的遥感驱动生物量估算模型，为森林生物量的准确估算提供方法和依据．
|
| 关 键 词： | 森林资源清查资料 森林生物量 模型 |
| 文章编号： | 1001-9332(2004)08-1468-05 |
| 修稿时间： | 2003年4月21日 |
Forest Inventory Data(FID)-based biomass models and their prospects |
| |
| ZHAO Min,ZHOU Guangsheng.Forest Inventory Data(FID)-based biomass models and their prospects[J].Chinese Journal of Applied Ecology,2004,15(8):1468-1472. |
| |
| Authors: | ZHAO Min ZHOU Guangsheng |
| |
| Affiliation: | Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China. gcte01@ns.ibcas.ac.cn |
| |
| Abstract: | Forest Inventory Data (FID)-based biomass models are important methods in assessing forest biomass at landscape,regional,and national scales,and play an important role in studying terrestrial carbon budget and global changes.In this paper,Forest Inventory Data were reviewed,FID-based models were summarized,and shortages of FID-based models were analyzed.Based on these analyses,the future tasks were pointed out:1)Comprehensive effect of forest biological factors and non-biological factors on forest biomass,especially on forest volume and age;2)Identification of the relationships between total forest biomass and live wood biomass;3)Development of remote sensing-and FID-based forest biomass models.These researches will provide new methods and theoretical bases for estimating forest biomass and carbon budget. |
| |
| Keywords: | Forest inventory data Forest biomass Model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《应用生态学报》浏览原始摘要信息 |
|
点击此处可从《应用生态学报》下载全文 |
