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2009—2011年我国西南地区旱灾程度及其对植被净初级生产力的影响 被引量:42

Drought in southwestern China and its impact on the net primary productivity of vegetation from 2009—2011
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摘要 2009—2011年,我国西南地区遭受了极端干旱气候影响。利用1980—2011年气象站点观测数据和基于光能利用率的植被净初级生产力估算模型Glo PEM,研究了2009—2011年西南地区干旱灾害过程和程度及其对植被净初级生产力的影响,结果显示:2009—2011年西南地区年均降水量和湿润指数明显低于1980—2008年均值。受干旱气候影响,研究区植被净初级生产力比2001—2011年均值低12.55 g C m-2a-1,总计低0.017 Pg C/a,造成的碳损失约占我国总碳汇的7.91%。2001—2011年西南地区植被净初级生产力与蒸散量变化显著相关(R2=0.44,P<0.05),而降水量和湿润指数变化过程与植被净初级生产力和蒸散量不同步,可能是由于该地区森林覆盖率较高,具有较强的涵养水源功能,导致土壤湿度变化滞后于降水量和湿润指数变化,从而使降水量变化过程与植被净初级生产力变化不同步。 Droughts are weather patterns involving prolonged reductions in precipitation that are distinct from normal weather cycles. They can be accompanied by extreme heat. There are three types of drought that affect vegetation : weather, soil, and physiology. In recent years, global climate change has significantly increased the frequency of drought and other extreme weather in China. Severe drought interferes with agricultural production and has caused a sharp decline in the net primary productivity of vegetation. It has decreased the total volume of rivers, dried up lakes, and degraded local environments. Southwestern China has suffered from a long-term drought that began in the autumn of 2009. Precipitation is half of what it was years ago. In this study, meteorological station data was used to analyze the process and magnitude of this drought from 2009--2011. Then a light-use-efficiency-based model for calculating net primary productivity called GloPEM was used to determine the impact of drought on the net primary productivity of vegetation during this time. The study area included Guizhou, Yunnan, and Sichuan Provinces, the Guangxi Zhuang Autonomous Region, and Chongqing City. The results showed that the drought was severe in Yunnan, Guizhou, northwestern Guangxi, and in southern Sichuan. And the precipitation and moisture index of 2009--2011 were obviously lower than the average of 1980--2011 in southwestern China. In 2009, the precipitation and moisture index declined sharply. In 2010, the precipitation and moisture index returned to near-normal levels. In 2011, the precipitation and moisture index fell to the lowest point in the past 32 years. For light-use-efficiency-based model, the total radiation is an important parameter. In this study, variations in simulated total radiation were closely correlated with observation results (R2= 0.84, P 〈 0.01). This drought may have reduced the net primary productivity of vegetation, decreasing plant's ability to create a carbon sink. In the study area, the average of net primary productivity from 2009--2011 was 12.55 gC m-2 a-1 lower than the average value from 2001--2011. It was 0. 017 PgC/a in total. This reduced China's total carbon sink by 7.91%. In 2010 alone, this loss reduced China's total carbon sink by 22.33% for that year. Variations in simulated net primary productivity were closely correlated with observation results (R2= 0.64, P 〈 0.01 ), which indicated that simulation of net primary productivity from GloPEM model was reliable and the parameters of GloPEM model were suitable in southwestern China. From 2001--2011, variations in net primary productivity were closely correlated with evapotranspiration (R2= 0.44, P 〈 0.05 ) in southwestern China. From 2009--2011, variations in net primary productivity and evapotranspiration were synchronized, but variations in precipitation and moisture index were not synchronous with those in net primary productivity or evapotranspiration. Statistical analysis of areas covered and affected by drought from 2009--2011 confirmed this. Variations of soil moisture levels were closely correlated with net primary productivity (R2= 0.25, P 〈 0.01 ). This phenomenon might have a relationship with the water conservation function of the ecosystem, which causes a delayed correlation between soil moisture levels and precipitation.
出处 《生态学报》 CAS CSCD 北大核心 2015年第2期350-360,共11页 Acta Ecologica Sinica
基金 环保公益性行业科研专项项目(201209031)
关键词 西南干旱 湿润指数 净初级生产力 GloPEM模型 drought in southwestern China moisture index net primary productivity GloPEM model
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