澜沧江下游流域植被净初级生产力(NPP)时空变化及其驱动因素分析  被引量:2

SPATIAL AND TEMPORAL PATTERNS OF PLANTING NPP AND ITS DRIVING FACTORS IN LOWER REACHES OF LANCANG RIVER

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作  者:和春兰[1] 陈超[1] 许林艳[1] HE Chun-lan;CHEN Chao;XU Lin-yan(Yunnan Land and Resources Vocational College,Kunming 652501,Yunnan,China)

机构地区:[1]云南国土资源职业学院,云南昆明652501

出  处:《云南地理环境研究》2021年第3期66-74,F0003,共10页Yunnan Geographic Environment Research

基  金:云南省地矿局科技创新基金“基于CASA模型的澜沧江下游流域植被NPP时空变化研究”(2017JJ05)。

摘  要:利用遥感、地形、气候等数据,采用CASA模型对研究区2000年、2010年和2018年3月、7月、11月的NPP值进行估算,结果表明:(1)相对于2000年,2010年的NPP值呈下降趋势,2010年到2018年又向较好趋势发展,且NPP值在3个时期的年内变化均为7月>3月>11月;(2)NPP低值区主要分布在下游流域的北部区域,中值区主要分布在中部区域,高值区主要分布在下部尤其是南部区域,且相比2000年,2018年的单位面积NPP高、低值区区域面积减小,中值区面积增加;(3)林地对区域NPP值贡献率最高,其次为草地和耕地,水域、未利用地的贡献率最低;(4)降水、气温、海拔、建设用地扩张、人口增长对NPP值影响显著。降水、气温与NPP值呈显著正相关;随着海拔增高、建设用地扩张、人口增长,NPP值下降。This study based on remote sensing、terrain data、climate data and used CASA model to provide data foundation for the estimation of vegetation NPP of the lower reaches of Lancang River.The study time nodes were March,July and November in 2000,2010,and 2018.The results showed that:(1)Compared with 2000,the NPP value showed a downward trend in 2010,and then developed to a better trend from 2010 to 2018.And in the three periods,The annual variation trend of vegetation NPP was:Vegetation NPP in July>Vegetation NPP in March>Vegetation NPP in November;(2)In terms of spatial distribution:The northern part of the study area is mainly distributed in the low value region of NPP,The middle part is the distribution of NPP median region,The lower part,especially the south part,is distributed in the high value region of NPP.Compared with 2000,the area of high-value and low-value NPP per unit area in 2018 decreased,while the area of median-value NPP per unit area increased.(3)Woodland has the highest contribution rate to NPP.The second is grassland and cultivated land.Water and unused land has the lowest contribution rate to NPP.(4)Precipitation、temperature、altitude、construction land expansion and population growth have significant effects on NPP.Precipitation and air temperature have significant effects on NPP,showing a significant positive correlation.With the increase of altitude,construction land expansion and population growth,NPP decreased.

关 键 词:澜沧江下游流域 CASA模型 净初级生产力(NPP) 时空变化 

分 类 号:P935.1[天文地球—自然地理学] Q948[生物学—植物学]

 

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