利用MODIS影像和气候数据模拟藏北高寒草甸的土壤呼吸
Modeling Soil Respiration of Alpine Meadow on the Northern Tibet Plateau Using MODIS and Climate Data
付刚 1沈振西 2张宪洲 2石培礼 2何永涛 2武建双 1周宇庭1
作者信息
- 1. 中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,拉萨高原生态系统研究站,北京,100101;中国科学院研究生院,北京,100049
- 2. 中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,拉萨高原生态系统研究站,北京,100101
- 折叠
摘要
利用MODIS卫星的陆地表面温度数据,模拟了2004年和2005年生长季(5-10月)当雄县高寒草甸的土壤呼吸、土壤异养呼吸和根系呼吸,以期为土壤呼吸空间尺度扩展提供相应的基础.结果表明:2004年生长季的土壤呼吸、土壤异养呼吸和根系呼吸总量分别为1059.11,393.80,665.31 g CO2·m-2.而2005年生长季的则分别为1114.77,423.34,691.43 g CO2·m-2.土壤呼吸、土壤异养呼吸和根系呼吸都有着明显的季节变化,即第153 d前后开始迅速增加并保持较高水平,至第241 d左右开始迅速下降.根系呼吸占土壤呼吸的比例为48%～69%,并随着季节而发生变化.土壤呼吸和土壤异养呼吸的Q10值范围分别是1.13～1.17和1.12～1.27.
Abstract
The soil respiration, soil heterotrophic respiration and root respiration of alpine meadow in Damxung County were estimated by using MODIS land surface temperature and the equations between soil (heterotrophic) respiration and soil temperature during the growing season (from May to October). Results showed that the soil respiration, soil heterotrophic respiration and root respiration total amount were 1059.11, 393.80 and 665.31 g CO2 · m-2 during the growing season in 2004, respectively, while those were 1114. 77, 423.34 and 691.43 g CO2 · m-2 during the growing season in 2005, respectively. Seasonal changes of soil respiration, soil heterotrophic respiration and root respiration were obvious: they increase rapidly in the beginning 153 day of year (DOY) and kept high level until 241 DOY then decrease dramatically. The ratio of root respiration to soil respiration ranged from 48％ to 69 ％ with seasonal changing. The Q10 values of soil respiration and soil heterotrophic respiration ranged from 1.13 to 1.17 and from 1.12 to 1.27, respectively. This study may provide basis for scaling-up of soil respiration.
关键词
土壤呼吸/土壤异养呼吸/根系呼吸/Q10/MODIS/藏北高原/高寒草甸Key words
Soil respiration/Soil heterotrophic respiration/Root respiration/Q10/MODIS/Northern Tibetan Plateau/Alpine meadow引用本文复制引用
基金项目
国家科技支撑计划(2007BAC06B01)
国家科技支撑计划(2006BAC01A04)
国家自然科学基金(40771121)
出版年
2011
国家科技期刊平台
NSTL
维普
万方数据