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淮河流域植被降水利用效率时空格局分析

史晓亮,张娜,陈冲,尚雨,吴梦月   

  • 出版日期:2019-04-28 发布日期:2019-04-28

Spatio-temporal pattern analysis of precipitation use efficiency ofvegetation in Huaihe River basin

SHI Xiaoliang,ZHANG Na,CHEN Chong,SHANG Yu,WU Mengyue   

  • Online:2019-04-28 Published:2019-04-28

摘要: 利用2001~2016年MODIS NDVI及气象数据,基于CASA(Carnegie-Ames-Stanford Approach)模型估算了淮河流域植被净初级生产力(Net Primary Productivity, NPP),并结合降水量数据,分析植被降水利用效率(Precipitation Use Efficiency,PUE)的时空分布特征及其对气候因子的响应。结果表明:① 2001~2016年间淮河流域的植被平均PUE为0.598 g C/(m2·mm),总体呈下降趋势;② 淮河流域植被降水利用效率空间上呈规律性变化,流域北部PUE增加,南部降低;③ 淮河流域不同植被类型PUE有较大差异,大部分地区为农田且PUE最高,其次是森林、灌丛,最后为草甸;④ 淮河流域99.7%的地区PUE与降水量呈负相关,而80.1%的地区与温度为正相关;⑤ 降水量是影响淮河流域植被PUE的重要因素。

关键词: 植被降水利用效率, 净初级生产力, CASA模型, 空间分布, 淮河流域

Abstract: Using MODIS NDVI and meteorological data from 2001 to 2016,the net primary productivity (NPP) of vegetation in the Huaihe River basin was estimated based on CASA (Carnegie-Ames-Stanford Approach) model. In combination with precipitation data, space-time distribution characteristics of precipitation use efficiency (PUE) of vegetation and its response to climate factors were analyzed. Results showed that (1) the average PUE of vegetation in the Huaihe River basin was 0.598 g C/(m2·mm) between 2001 and 2016, showing an overall downward trend; (2) PUE in the Huaihe River basin had been changing regularly, increasing in the north of the basin and decreasing in the south; (3) PUE of different vegetation types in the Huaihe River basin were quite different. Most areas were farmland where PUE was the highest , followed by forest, shrub and meadow; (4) PUE was negatively correlated with precipitation in 99.7% of the Huaihe River basin, it was positively correlated with temperature in 80.1% of the basin; (5) Precipitation was an important factor affecting PUE in the Huaihe River basin.

Key words: precipitation use efficiency, net primary productivity, Carnegie Ames-Stanford Approach model, spatial distribution, Huaihe River basin