Remotely sensed interannual variations and trends in terestrial net primary productivity 1981-2000
Remotely sensed interannual variations and trends in terestrial net primary productivity 1981-2000
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DOI：
10.1007/s10021-003-0189-x
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发表时间：
2004-04-01
期刊：
影响因子：
3.7
通讯作者：
Goetz, SJ
中科院分区：
文献类型：
--
作者：
Cao, MK;Prince, SD;Goetz, SJ
净初级生产力（NPP）的时空变化对生态学研究、自然资源管理和陆地碳汇估算具有重要意义。然而，大多数现有的估计年际变化的NPP在区域和全球尺度上是在粗糙的分辨率与气候驱动的过程模式。在这项研究中，我们量化的全球NPP变化在8公里和10天的分辨率从1981年到2000年的卫星观测的基础上。高分辨率是使用全球生产效率模型（GLO-PEM）实现的，该模型几乎完全由卫星遥感得出的变量驱动。结果表明，有一个增加的趋势，增加陆地NPP叠加在高季节和年际变化与气候变率和增加发生在北方和热带纬度。NPP总体上在厄尔尼诺季节减少，在拉尼娜季节增加，但个别事件之间的响应的幅度和空间格局差异很大。我们的估计还表明，在此期间，NPP的增加主要是由大气二氧化碳和降水的增加引起的。气候变暖对NPP的增强仅限于北方高纬度地区（50 ° N以上），其他地区NPP的年际变化与温度呈负相关，与降水呈正相关。
Spatial and temporal variations in net primary production (NPP) are of great importance to ecological studies, natural resource management, and terrestrial carbon sink estimates. However, most of the existing estimates of interannual variation in NPP at regional and global scales were made at coarse resolutions with climate-driven process models. In this study, we quantified global NPP variation at an 8 km and 10-day resolution from 1981 to 2000 based on satellite observations. The high resolution was achieved using the GLObal Production Efficiency Model (GLO-PEM), which was driven with variables derived almost entirely from satellite remote sensing. The results show that there was an increasing trend toward enhanced terrestrial NPP that was superimposed on high seasonal and interannual variations associated with climate variability and that the increase was occurring in both northern and tropical latitudes. NPP generally decreased in El Nino season and increased in La Nina seasons, but the magnitude and spatial pattern of the response varied widely between individual events. Our estimates also indicate that the increases in NPP during the period were caused mainly by increases in atmospheric carbon dioxide and precipitation. The enhancement of NPP by warming was limited to northern high latitudes (above 50degreesN); in other regions, the interannual variations in NPP were correlated negatively with temperature and positively with precipitation.