Change feature of net primary productivity of natural vegetation and its impact factors over the source region of the Yangtze River in recent 50 years
Yao Yu-bi
Abstract
Yao Yu-bi
Abstract
Based on climatic observational data of monthly average temperature,maximum temperature,minimum temperature,relative humidity,precipitation,wind speed and sunshine duration in the source region of the Yangtze River in 1959-2008,the net primary productivity(NPP) of natural vegetation was computed by using revised Thornthwaite Memorial Model.The inter-annual change and the seasonal difference of NPP were analyzed,and the impact climatic factors for the change trend of NPP were discussed.The main results were as follows: In the period of 1959-2008,the annual precipitation in this region had an increasing trend,with a linear fitting rate of the annual precipitation change curves being 5.685~13.047 mm?(10a)-1,higher increasing rate appeared in spring and summer;while the annual temperature as well displayed an ascending trend,with a linear fitting rate of the annual temperature change curves being 0.240~0.248 ℃?(10 a)-1,higner ascending rate appeared in autumn and winter;likewise,the annual maximum evapotranspiration(ET0) displayed an ascending trend,with a linear fitting rate of the annual ET0 change curves being 5.073~5.366 mm?(10a)-1,the rate of increasing appeared higher in spring;the surface humid index too displayed an ascending trend,with a linear fitting rate of the surface humid index change curves being 0.013~0.020(10 a)-1,the rate of increasing appeared higher in winter.6~8 climatic periods of Dry-wet alternation happened in 10a period of Temporal frequency,which were the light wet stages since 1990s,while the light dry stages appeared in 1998-2005 at a low frequency.The annual NPP in this region had a significant increasing trend,with a linear fitting rate of the annual NPP change curves being 97.901~197.01 kg·hm-2·(10 a)-1,the NPP appeared in 2001-2008.The main factors which influence the NPP were precipitation,the maximum evapotranspiration and the average minimum temperature.
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Based on climatic observational data of monthly average temperature,maximum temperature,minimum temperature,relative humidity,precipitation,wind speed and sunshine duration in the source region of the Yangtze River in 1959-2008,the net primary productivity(NPP) of natural vegetation was computed by using revised Thornthwaite Memorial Model.The inter-annual change and the seasonal difference of NPP were analyzed,and the impact climatic factors for the change trend of NPP were discussed.The main results were as follows: In the period of 1959-2008,the annual precipitation in this region had an increasing trend,with a linear fitting rate of the annual precipitation change curves being 5.685~13.047 mm?(10a)-1,higher increasing rate appeared in spring and summer;while the annual temperature as well displayed an ascending trend,with a linear fitting rate of the annual temperature change curves being 0.240~0.248 ℃?(10 a)-1,higner ascending rate appeared in autumn and winter;likewise,the annual maximum evapotranspiration(ET0) displayed an ascending trend,with a linear fitting rate of the annual ET0 change curves being 5.073~5.366 mm?(10a)-1,the rate of increasing appeared higher in spring;the surface humid index too displayed an ascending trend,with a linear fitting rate of the surface humid index change curves being 0.013~0.020(10 a)-1,the rate of increasing appeared higher in winter.6~8 climatic periods of Dry-wet alternation happened in 10a period of Temporal frequency,which were the light wet stages since 1990s,while the light dry stages appeared in 1998-2005 at a low frequency.The annual NPP in this region had a significant increasing trend,with a linear fitting rate of the annual NPP change curves being 97.901~197.01 kg·hm-2·(10 a)-1,the NPP appeared in 2001-2008.The main factors which influence the NPP were precipitation,the maximum evapotranspiration and the average minimum temperature.
Key concepts: Evapotranspiration, Environmental science, Precipitation, Climatology, Relative humidity, Yangtze river, Atmospheric sciences, Humidity