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汾河流域植被净初级生产力的驱动因素及梯度效应

田惠文,毕如田*,朱洪芬,闫晶   

  1. (山西农业大学资源环境学院, 山西太谷 030801)
  • 出版日期:2019-10-10 发布日期:2019-10-10

Driving factors and gradient effect of net primary productivity in Fenhe River Basin.

TIAN Hui-wen, BI Ru-tian*, ZHU Hong-fen, YAN Jing   

  1. (College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, Shanxi, China).
  • Online:2019-10-10 Published:2019-10-10

摘要: 基于CASA模型估算了2000—2015年汾河流域植被净初级生产力,采用趋势分析、相关分析等方法对汾河流域NPP的驱动因素进行研究,并对汾河流域不同梯度的NPP进行分析。结果表明:2000—2015年汾河流域植被NPP呈现波动上升趋势,年均增长6.62 g C·m-2·a-1,均值为291.57 g C·m-2·a-1,整体呈现中部低两翼高的空间分布特征;不同地类的年均NPP为林地>草地>耕地>其他用地>建设用地>水域用地;NPP与气温、降水量之间均为正相关;棕壤区植被NPP最大,栗褐土区植被NPP较小;NPP受地形和人为因素的影响,高值出现在海拔高、坡度大、人类活动较少的山区,低值主要在海拔低、坡度小、人类活动密集的沿河盆地;在汾河流域的东西条带上,距离汾河越远的梯度带NPP越大,在南北条带上,煤炭开采严重、城市化率高的梯度带NPP相对较低。

关键词: 板栗林, 土地利用变化, 常绿阔叶林, 土壤碳库

Abstract: Net primary productivity (NPP) of vegetation in the Fenhe River Basin from 2000 to 2015 was estimated by the CASA model. Trend analysis and correlation analysis were used for exploring the driving factors and different gradients of NPP. The results showed that the NPP of vegetation showed a fluctuating upward trend, with a mean annual growth rate of 6.62 g C·m-2·a-1 and a mean value of 291.57 g C·m-2·a-1 from 2000 to 2015. Spatially, NPP in the middle portion of the Fenhe River Basin was lower than that in its both sides. The mean annual NPP among different land types ranked as forestland > grassland > cropland > other land > construction land > water use land. The NPP of vegetation was positively correlated with temperature and precipitation. NPP was the greatest in the area with brown soil and the lowest in the area with castanocinnamon soil. NPP was influenced by topography and anthropogenic activities. It was higher in the area with higher elevation, steeper slope, and less human activities. In addition, the farther away from the Fenhe River, the larger the NPP was along the east-west transect. The NPP was relatively lower along the northsouth transect with excessive coal mining and higher urbanization rate.

Key words: evergreen broad-leaved forest, Chinese chestnut plantation, soil carbon pool, land-use change.