Combined with recent historical climate data and two periods of land use datasets from remote sensing data, we test the net primary productivity (NPP) data sets in North Chinamodelled by the satellite data-driven Glob...Combined with recent historical climate data and two periods of land use datasets from remote sensing data, we test the net primary productivity (NPP) data sets in North Chinamodelled by the satellite data-driven Global Production Efficiency Model (GLO-PEM) for detecting thewidespread spatial and temporal characteristics of the impacts of climate and land use change onthe regional NPP. Our results show that over the past 20 years, the mean annual temperature in thestudy region has remarkably increased by more than 0.064 ℃, but over the same period, there hasbeen a 1.49 mm decrease in annual precipitation and decrease in NPP by an annual rate of 6.9 TgC.The NPP changes in the study region were greatly affected by the average temperature andprecipitation by ten-day periods as well as the seasonal temperature and precipitation in the studyregion. The correlation between seasonal NPP and seasonal precipitation and temperature is highlyconsistent with land cover spatially, and the correlation coefficient changes with the changes ofvegetation types. The analysis reveals that the related areas in land use change only take up 5.45%of the whole studied region, so the climate changes dominate the impacts on the NPP in the wholestudy region (90% of the total). However, land use plays an absolute dominative role in areas withland cover changes, accounting for 97% of the total. From 1981 to 2000, the NPP in the whole studyregion remarkably reduced due to obvious precipitation decrease and temperature rise. Between twoperiods of land use (about 10 years), the changes in climate are predicted to promote a decrease inNPP by 78 ( + -0.6) TgC, and integrated impacts of climate changes and land use to promote adecrease in NPP by 87(+-0.8) TgC.展开更多
利用MODIS数据反演光合有效辐射(Photosynthetically active radiation,PAR),采用AMSR-E微波遥感土壤湿度数据,驱动GLO-PEM模型估算青藏高原净初级生产力.克服了由于降水插值和辐射插值给模型带来的不确定性.估计的PAR与观测值比较,RMSE...利用MODIS数据反演光合有效辐射(Photosynthetically active radiation,PAR),采用AMSR-E微波遥感土壤湿度数据,驱动GLO-PEM模型估算青藏高原净初级生产力.克服了由于降水插值和辐射插值给模型带来的不确定性.估计的PAR与观测值比较,RMSE(均方根误差,Root Mean Square Error)分别为9和19.68W m2,R2分别为0.89和0.67.GLO-PEM模拟NPP与野外采样NPP关系明显,R2达到0.93.2005～2008年青藏高原植被的净初级生产力平均总量为0.37Pg C a1.总体分布是自东南至西北递减,NPP在0～1500g C m2a1之间变化.青藏高原植被的水平分布规律受制于水热条件组合.青藏高原东南部(降水量大于450mm)和西北部(降水量小于450mm)植被生产力受不同的气象因子制约.降水量小于450mm的区域内,青藏高原植被生产力变化的主导因子为降水量;降水量大于450mm的区域,植被生产力变化的主导因子为气温,随着气温的升高,植被净初级生产力显著的提高.展开更多
GLO-PEM is driven by soil moisture data of AMSR-E and PAR(Photosynthetically active radiation) which is retrieved from MODIS atmospheric data product in this paper.Using remote sensing data can overcome uncertainty br...GLO-PEM is driven by soil moisture data of AMSR-E and PAR(Photosynthetically active radiation) which is retrieved from MODIS atmospheric data product in this paper.Using remote sensing data can overcome uncertainty brought from interpola-tion of precipitation and PAR.Comparing with observed radiation data,PAR retrieved by remote sensing is in high accuracy in this study.RMSE is 9 and 19.68 W m 2 and R2 is 0.89 and 0.67 respectively.As a result of GLO-PEM,annual total amount of NPP of Qinghai-Tibet Plateau is 0.37 Pg C a-1 in 2005 2008.There is a significant linear relationship between field and simu-lated NPP.Determination coefficient reached 0.93.NPP is decrease from southeast to northwest in the Qinghai-Tibet Plateau.NPP changes from 0 to 1500 g C m-2 a-1.There is different limit factors of vegetation growth in west and east plateau.In the west of 450 mm rainfall line,the limit factors is precipitation.In the east of 450 mm rainfall line,temperature is the dominated factor of vegetation growth.展开更多
基金National 973 Project No.2002CB412507+5 种基金 National Natural Science Foundation of China No.90202002 Knowledge Innovation Project of IGSNRR CAS No.CXIOG-E01-02-04 One Hundred Talents Program of CAS.
文摘Combined with recent historical climate data and two periods of land use datasets from remote sensing data, we test the net primary productivity (NPP) data sets in North Chinamodelled by the satellite data-driven Global Production Efficiency Model (GLO-PEM) for detecting thewidespread spatial and temporal characteristics of the impacts of climate and land use change onthe regional NPP. Our results show that over the past 20 years, the mean annual temperature in thestudy region has remarkably increased by more than 0.064 ℃, but over the same period, there hasbeen a 1.49 mm decrease in annual precipitation and decrease in NPP by an annual rate of 6.9 TgC.The NPP changes in the study region were greatly affected by the average temperature andprecipitation by ten-day periods as well as the seasonal temperature and precipitation in the studyregion. The correlation between seasonal NPP and seasonal precipitation and temperature is highlyconsistent with land cover spatially, and the correlation coefficient changes with the changes ofvegetation types. The analysis reveals that the related areas in land use change only take up 5.45%of the whole studied region, so the climate changes dominate the impacts on the NPP in the wholestudy region (90% of the total). However, land use plays an absolute dominative role in areas withland cover changes, accounting for 97% of the total. From 1981 to 2000, the NPP in the whole studyregion remarkably reduced due to obvious precipitation decrease and temperature rise. Between twoperiods of land use (about 10 years), the changes in climate are predicted to promote a decrease inNPP by 78 ( + -0.6) TgC, and integrated impacts of climate changes and land use to promote adecrease in NPP by 87(+-0.8) TgC.
文摘利用MODIS数据反演光合有效辐射(Photosynthetically active radiation,PAR),采用AMSR-E微波遥感土壤湿度数据,驱动GLO-PEM模型估算青藏高原净初级生产力.克服了由于降水插值和辐射插值给模型带来的不确定性.估计的PAR与观测值比较,RMSE(均方根误差,Root Mean Square Error)分别为9和19.68W m2,R2分别为0.89和0.67.GLO-PEM模拟NPP与野外采样NPP关系明显,R2达到0.93.2005～2008年青藏高原植被的净初级生产力平均总量为0.37Pg C a1.总体分布是自东南至西北递减,NPP在0～1500g C m2a1之间变化.青藏高原植被的水平分布规律受制于水热条件组合.青藏高原东南部(降水量大于450mm)和西北部(降水量小于450mm)植被生产力受不同的气象因子制约.降水量小于450mm的区域内,青藏高原植被生产力变化的主导因子为降水量;降水量大于450mm的区域,植被生产力变化的主导因子为气温,随着气温的升高,植被净初级生产力显著的提高.
基金supported by the National Basic Research Program of Chi-na (Grant Nos.2009CB421105,2010CB951600 and 2010CB950900)the National Science and Technology Key Project Support Program (Grant No.2009BAC61B01)
文摘GLO-PEM is driven by soil moisture data of AMSR-E and PAR(Photosynthetically active radiation) which is retrieved from MODIS atmospheric data product in this paper.Using remote sensing data can overcome uncertainty brought from interpola-tion of precipitation and PAR.Comparing with observed radiation data,PAR retrieved by remote sensing is in high accuracy in this study.RMSE is 9 and 19.68 W m 2 and R2 is 0.89 and 0.67 respectively.As a result of GLO-PEM,annual total amount of NPP of Qinghai-Tibet Plateau is 0.37 Pg C a-1 in 2005 2008.There is a significant linear relationship between field and simu-lated NPP.Determination coefficient reached 0.93.NPP is decrease from southeast to northwest in the Qinghai-Tibet Plateau.NPP changes from 0 to 1500 g C m-2 a-1.There is different limit factors of vegetation growth in west and east plateau.In the west of 450 mm rainfall line,the limit factors is precipitation.In the east of 450 mm rainfall line,temperature is the dominated factor of vegetation growth.
