摘要: |
基于MODIS/NDVI数据和贵州省地面气象观测资料,估算了2000—2020年贵州乌江流域的植被净初级生产力(NPP),采用相关分析、多元线性回归等方法,对流域植被NPP的时空分布特征及其对气候变化的响应关系进行研究,结果表明:①近21 a贵州乌江流域植被NPP呈显著增加的趋势,平均每10 a增长率为74 g·C·m-2。流域内植被NPP的空间分布不均匀,大部分地区在780 g·C·m-2以上。②植被NPP与气温、日照时数具有显著的相关性。在NPP与气温的相关系数空间分布中,流域大部分地区以正相关为主,显著正相关区占到流域面积的69.98%。NPP与日照时数的相关性中,空间分布以正相关为主,其中显著正相关分布较为零散,主要集中在流域中南部和下游中部地区,西部和下游的南北部为负相关。NPP与降水的相关系数空间分布上仍然以正相关为主,显著正相关主要出现在西部边缘、中部和下游南北部地区,而负相关分布在流域的西南部、下游中北部地区。③植被NPP与不同气候因子的响应关系中,人类活动的影响作用显著并且具有差异性。此外,该文基于气候因子尝试建立了流域植被NPP的预报预测模型。 |
关键词: NPP;气候变化;响应;乌江流域 |
DOI: |
投稿时间:2021-08-16 |
基金项目:山地生态气象遥感应用系统(FY-3(03)-AS-12.13):风云三号03批气象卫星工程地面应用系统2021年区域特色应用项目;贵州省气象局科研业务项目(黔气科登[2021]03-04号):基于气候因子的区域关键生态要素预报预测研究——以贵州乌江流域为例 |
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Spatio-temporal Distribution of Vegetation NPP in Wujiang River Basin, Guizhou and Its Response to Climate Change |
ZHANG Mingxiang,TIAN Pengju,GU Xiaoping |
(Guizhou Ecological Meteorology and Satellite Remote Sensing Center, Guiyang 550002 , China) |
Abstract: |
Based on MODIS/NDVI data and surface meteorological observation data in Guizhou Province, the net primary productivity (NPP) of vegetation in Wujiang River Basin was estimated from 2000 to 2020. The temporal and spatial distribution characteristics of NPP and its response to climate change were studied by using correlation analysis and multiple linear regression methods.The results show that:①The NPP of basin increased significantly at a rate of 74g·C·m-2 per 10 years in recent 21 years, and the spatial distribution of multi-year mean NPP was not uniform,with more than 780 g·C·m-2 in most areas. ②The spatial distribution of correlation between NPP and temperature was mainly positive, and 69.98% of basin area was significantly positive. The correlation between NPP and sunshine duration was mainly positive in most of basin. Significant positive correlation was scattered, which concentrated in central and southern part of basin and the middle part of lower reaches, while negative correlation was found in western and the southern and northern part of lower reaches. The correlation was also mainly positive between NPP and precipitation in basin. Significant positive correlation mainly occurred in western edge, central part and southern and northern parts of lower reaches, while negative correlation was distributed in southwest, middle part and northern parts of lower reaches. ③In the response between NPP and climate factors, the impact of human activities was obvious and different. Based on climate factors, this paper attempted to establish a prediction model for vegetation NPP. |
Key words: NPP; climate change; response; Wujiang River Basin |