2000—2015年山东省植被净初级生产力时空变化及其对气候变化的响应
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摘要
植被净初级生产力(net primary productivity,NPP)是表征陆地生态系统功能状况和碳循环的重要指标。基于2000—2015年MODIS MOD17A3 NPP数据和对应年份的气象数据,采用相关分析、回归分析和空间分析相结合的方法,定量研究近16年山东省植被NPP的时空变化特征及其对气候变化的响应。结果表明:2000—2015年山东省植被NPP总体呈波动增加趋势,年均NPP介于501.29～583.55 g C·m~(-2)·a~(-1),年际增加速率为2.05g C·m~(-2)·a~(-1);植被NPP表现为南高北低,东高西低的空间分布规律,大部分地区的植被NPP在200～400 g C·m~(-2)·a~(-1),主要集中在山东省中部和西部地区;轻微增加的地区占全省总面积的44.5%,主要分布于山东省中部、西部和西南部;通过年均NPP与年均气温和年降水量的逐像元相关性分析,植被NPP与温度和降水量均存在明显正相关,降水量是影响植被NPP变化的主导因子。
Net primary productivity( NPP) of vegetation is an important indicator for the ecological functions and carbon cycling in terrestrial ecosystems. Based on MODIS MOD17 A3 NPP and meteorological data over the past 16 years( from 2000 to 2015),the spatial and temporal variations of vegetation NPP in Shandong Province,as well as its responses to climate change,were estimated using the methods of correlation,regression,and spatial analysis. The results showed that vegetation NPP increased with fluctuations from 2000 to 2015,with mean annual value between 501.29 and 583.55 g C·m~(-2)·a~(-1). Vegetation NPP increased at a rate of 2.05 g C·m~(-2)·a~(-1) during the study period. There were substantial spatial variations in vegetation NPP,with high values in the south and east and low values in the north and west of the province. The vegetation NPP values in most areas of Shandong Province ranged from 200 to 400 g C·m~(-2)·a~(-1),especially in the central and west parts. In areas with 44.5% of provincial total area,the mean vegetation NPP showed a slight increase for the period of 2000-2015,mainly occurring in the central,west and southwest regions. There were significantly positive correlations between vegetation NPP and temperature and precipitation. The latter was the dominant climatic factor driving the changes of vegetation NPP.
Net primary productivity( NPP) of vegetation is an important indicator for the ecological functions and carbon cycling in terrestrial ecosystems. Based on MODIS MOD17 A3 NPP and meteorological data over the past 16 years( from 2000 to 2015),the spatial and temporal variations of vegetation NPP in Shandong Province,as well as its responses to climate change,were estimated using the methods of correlation,regression,and spatial analysis. The results showed that vegetation NPP increased with fluctuations from 2000 to 2015,with mean annual value between 501.29 and 583.55 g C·m~(-2)·a~(-1). Vegetation NPP increased at a rate of 2.05 g C·m~(-2)·a~(-1) during the study period. There were substantial spatial variations in vegetation NPP,with high values in the south and east and low values in the north and west of the province. The vegetation NPP values in most areas of Shandong Province ranged from 200 to 400 g C·m~(-2)·a~(-1),especially in the central and west parts. In areas with 44.5% of provincial total area,the mean vegetation NPP showed a slight increase for the period of 2000-2015,mainly occurring in the central,west and southwest regions. There were significantly positive correlations between vegetation NPP and temperature and precipitation. The latter was the dominant climatic factor driving the changes of vegetation NPP.
引文
钞振华,张培栋,王旭峰,等.2013.近10年来山东区域NPP时空变化分析.草业科学,30(6):829-835.
陈晓玲,曾永年.2016.亚热带山地丘陵区植被NPP时空变化及其与气候因子的关系---以湖南省为例.地理学报,71(1):35-48.
崔林丽,杜华强,史军,等.2016.中国东南部植被NPP的时空格局变化及其与气候的关系研究.地理科学,36(5):787-793.
崔林丽,史军,肖风劲.2018.气候要素及ElNio/LaNia事件对中国陆地NPP变化的影响.地理学报,73(1):54-66.
丁庆福,王军邦,齐述华,等.2013.江西省植被净初级生产力的空间格局及其对气候因素的响应.生态学杂志,32(3):726-732.
李登科,王钊.2018.基于MOD17A3的中国陆地植被NPP变化特征分析.生态环境学报,27(3):397-405.
刘刚,孙睿,肖志强,等.2017.2001-2014年中国植被净初级生产力时空变化及其与气象因素的关系.生态学报,37(15):4936-4945.
潘竟虎,黄克军,李真.2017.2001-2010年疏勒河流域植被净初级生产力时空变化及其与气候因子的关系.生态学报,37(6):1888-1899.
曲衍波,姜广辉,张佰林,等.2017.山东省农村居民点转型的空间特征及其经济梯度分异.地理学报,72(10):1845-1858.
史晓亮,杨志勇,王馨爽,等.2016.黄土高原植被净初级生产力的时空变化及其与气候因子的关系.中国农业气象,37(4):445-453.
田永生,郭阳耀,张培栋,等.2010.区域净初级生产力动态及其与气象因子的关系.草业科学,27(2):8-17.
王芳,汪左,张运.2018.2000-2015年安徽省植被净初级生产力时空分布特征及其驱动因素.生态学报,38(8):2754-2767.
王强,张廷斌,易桂花,等.2017.横断山区2004-2014年植被NPP时空变化及其驱动因子.生态学报,37(9):3084-3095.
王新闯,王世东,张合兵.2013.基于MOD17A3的河南省NPP时空格局.生态学杂志,32(10):2797-2805.
谢宝妮,秦占飞,王洋,等.2014.黄土高原植被净初级生产力时空变化及其影响因素.农业工程学报,30(11):244-253.
张静,任志远.2016.汉江流域植被净初级生产力时空格局及成因.生态学报,36(23):7667-7677.
张春华,居为民,王登杰,等.2018.2004-2013年山东省森林碳储量及其碳汇经济价值.生态学报,38(5):1739-1749.
郑永丹.2015.中国主要粮食作物生育期时空格局及其变化(硕士学位论文).武汉:华中师范大学.
仲晓春,陈雯,刘涛,等.2016.2001-2010年中国植被NPP的时空变化及其与气候的关系.中国农业资源与区划,37(9):16-22.
周杰,张昌盛,解修平.2015.渭河流域植被净初级生产力时空格局及影响因素分析.水土保持学报,29(2):274-277.
朱士华,艳燕,邵华,等.2017.1980-2014年中亚地区植被净初级生产力对气候和CO2变化的响应.自然资源学报,32(11):1844-1856.
ArdJ,Tagesson T,Jamali S,et al.2018.MODIS EVI-based net primary production in the Sahel 2000-2014.International Journal of Applied Earth Observation and Geoinformation,65:35-45.
Bastos A,Running S W,Gouveia C,et al.2013.The global NPP dependence on ENSO:La Nia and the extraordinary year of 2011.Journal of Geophysical Research:Biogeosciences,118:1247-1255.
Cramer W,Kicklighter DW,Bondeau A,et al.1999.Comparing global models of terrestrial net primary productivity(NPP):Overview and key results.Global Change Biology,5:1-15.
He Y,Piao SL,Li XY,et al.2018.Global patterns of vegetation carbon use efficiency and their climate drivers deduced from MODIS satellite data and process-based models.Agricultural and Forest Meteorology,256:150-158.
IGBP.1998.The terrestrial carbon cycle:Implications for the Kyoto Protocol.Science,280:1393-1394.
Jones MO,Running SW,Kimball JS,et al.2018.Terrestrial primary productivity indicators for inclusion in the National Climate Indicators System.Climatic Change,3:1-14.
Khalifa M,Elagib NA,Ribbe L,et al.2018.Spatio-temporal variations in climate,primary productivity and efficiency of water and carbon use of the land cover types in Sudan and Ethiopia.Science of the Total Environment,624:790-806.
Li J,Wang ZL,Lai CG,et al.2018.Response of net primary production to land use and land cover change in mainland China since the late 1980s.Science of the Total Environment,639:237-247.
Liang W,Yang YT,Fan DM,et al.2015.Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010.Agricultural and Forest Meteorology,204:22-36.
Nemani RR,Keeling CD,Hashimoto H,et al.2003.Climatedriven increases in global terrestrial net primary production from 1982 to 1999.Science,300:1560-1563.
Pan Y,Birdsey RA,Fang J,et al.2011.A large and persistent carbon sink in the world’s forests.Science,333:988-993.
Peng DL,Zhang B,Wu CY,et al.2017.Country-level net primary production distribution and response to drought and land cover change.Science of the Total Environment,574:65-77.
Potter C,Klooster S,Genovese V.2012.Net primary production of terrestrial ecosystems from 2000 to 2009.Climatic Change,115:365-378.
Rafique R,Zhao F,de Jong R,et al.2016.Global and regional variability and change in terrestrial ecosystems net primary production and NDVI:A model-data comparison.Remote Sensing,8:177.
Rollinson CR,Liu Y,Raiho A,et al.2017.Emergent climate and CO2sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America.Global Change Biology,23:2755-2767.
Running SW,Nemani RR,Heinsch FA,et al.2004.A continuous satellite-derived measure of global terrestrial primary production.Bio Science,54:547-560.
Sun QL,Li BL,Zhou CH,et al.2017.A systematic review of research studies on the estimation of net primary productivity in the Three-River Headwater Region,China.Journal of Geographical Sciences,27:161-182.
Wang J,Dong J,Wang S,et al.2017a.Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012.Journal of Geophysical Research:Biogeosciences,122:261-278.
Wang SY,Zhang B,Yang QC,et al.2017b.Responses of net primary productivity to phenological dynamics in the Tibetan Plateau,China.Agricultural and Forest Meteorology,232:235-246.
Wang X,Tan K,Chen B,et al.2017c.Assessing the spatiotemporal variation and impact factors of net primary productivity in China.Scientific Reports,7:44415.
Yu T,Sun R,Xiao ZQ,et al.2018.Estimation of global vegetation productivity from global land surface satellite data.Remote Sensing,10:327.
Zhao M,Running SW,Nemani RR.2015.Sensitivity of Moderate Resolution Imaging Spectroradiometer(MODIS)terrestrial primary production to the accuracy of meteorological reanalyses.Journal of Geophysical Research:Biogeosciences,111:338-356.
Zhao M,Running SW.2010.Drought-induced reduction in global terrestrial net primary production from 2000 through2009.Science,329:940-943.
Zhao MS,Heinsch FA,Nemani RR,et al.2005.Improvements of the MODIS terrestrial gross and net primary production global data set.Remote Sensing of Environment,95:164-176.
陈晓玲,曾永年.2016.亚热带山地丘陵区植被NPP时空变化及其与气候因子的关系---以湖南省为例.地理学报,71(1):35-48.
崔林丽,杜华强,史军,等.2016.中国东南部植被NPP的时空格局变化及其与气候的关系研究.地理科学,36(5):787-793.
崔林丽,史军,肖风劲.2018.气候要素及ElNio/LaNia事件对中国陆地NPP变化的影响.地理学报,73(1):54-66.
丁庆福,王军邦,齐述华,等.2013.江西省植被净初级生产力的空间格局及其对气候因素的响应.生态学杂志,32(3):726-732.
李登科,王钊.2018.基于MOD17A3的中国陆地植被NPP变化特征分析.生态环境学报,27(3):397-405.
刘刚,孙睿,肖志强,等.2017.2001-2014年中国植被净初级生产力时空变化及其与气象因素的关系.生态学报,37(15):4936-4945.
潘竟虎,黄克军,李真.2017.2001-2010年疏勒河流域植被净初级生产力时空变化及其与气候因子的关系.生态学报,37(6):1888-1899.
曲衍波,姜广辉,张佰林,等.2017.山东省农村居民点转型的空间特征及其经济梯度分异.地理学报,72(10):1845-1858.
史晓亮,杨志勇,王馨爽,等.2016.黄土高原植被净初级生产力的时空变化及其与气候因子的关系.中国农业气象,37(4):445-453.
田永生,郭阳耀,张培栋,等.2010.区域净初级生产力动态及其与气象因子的关系.草业科学,27(2):8-17.
王芳,汪左,张运.2018.2000-2015年安徽省植被净初级生产力时空分布特征及其驱动因素.生态学报,38(8):2754-2767.
王强,张廷斌,易桂花,等.2017.横断山区2004-2014年植被NPP时空变化及其驱动因子.生态学报,37(9):3084-3095.
王新闯,王世东,张合兵.2013.基于MOD17A3的河南省NPP时空格局.生态学杂志,32(10):2797-2805.
谢宝妮,秦占飞,王洋,等.2014.黄土高原植被净初级生产力时空变化及其影响因素.农业工程学报,30(11):244-253.
张静,任志远.2016.汉江流域植被净初级生产力时空格局及成因.生态学报,36(23):7667-7677.
张春华,居为民,王登杰,等.2018.2004-2013年山东省森林碳储量及其碳汇经济价值.生态学报,38(5):1739-1749.
郑永丹.2015.中国主要粮食作物生育期时空格局及其变化(硕士学位论文).武汉:华中师范大学.
仲晓春,陈雯,刘涛,等.2016.2001-2010年中国植被NPP的时空变化及其与气候的关系.中国农业资源与区划,37(9):16-22.
周杰,张昌盛,解修平.2015.渭河流域植被净初级生产力时空格局及影响因素分析.水土保持学报,29(2):274-277.
朱士华,艳燕,邵华,等.2017.1980-2014年中亚地区植被净初级生产力对气候和CO2变化的响应.自然资源学报,32(11):1844-1856.
ArdJ,Tagesson T,Jamali S,et al.2018.MODIS EVI-based net primary production in the Sahel 2000-2014.International Journal of Applied Earth Observation and Geoinformation,65:35-45.
Bastos A,Running S W,Gouveia C,et al.2013.The global NPP dependence on ENSO:La Nia and the extraordinary year of 2011.Journal of Geophysical Research:Biogeosciences,118:1247-1255.
Cramer W,Kicklighter DW,Bondeau A,et al.1999.Comparing global models of terrestrial net primary productivity(NPP):Overview and key results.Global Change Biology,5:1-15.
He Y,Piao SL,Li XY,et al.2018.Global patterns of vegetation carbon use efficiency and their climate drivers deduced from MODIS satellite data and process-based models.Agricultural and Forest Meteorology,256:150-158.
IGBP.1998.The terrestrial carbon cycle:Implications for the Kyoto Protocol.Science,280:1393-1394.
Jones MO,Running SW,Kimball JS,et al.2018.Terrestrial primary productivity indicators for inclusion in the National Climate Indicators System.Climatic Change,3:1-14.
Khalifa M,Elagib NA,Ribbe L,et al.2018.Spatio-temporal variations in climate,primary productivity and efficiency of water and carbon use of the land cover types in Sudan and Ethiopia.Science of the Total Environment,624:790-806.
Li J,Wang ZL,Lai CG,et al.2018.Response of net primary production to land use and land cover change in mainland China since the late 1980s.Science of the Total Environment,639:237-247.
Liang W,Yang YT,Fan DM,et al.2015.Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010.Agricultural and Forest Meteorology,204:22-36.
Nemani RR,Keeling CD,Hashimoto H,et al.2003.Climatedriven increases in global terrestrial net primary production from 1982 to 1999.Science,300:1560-1563.
Pan Y,Birdsey RA,Fang J,et al.2011.A large and persistent carbon sink in the world’s forests.Science,333:988-993.
Peng DL,Zhang B,Wu CY,et al.2017.Country-level net primary production distribution and response to drought and land cover change.Science of the Total Environment,574:65-77.
Potter C,Klooster S,Genovese V.2012.Net primary production of terrestrial ecosystems from 2000 to 2009.Climatic Change,115:365-378.
Rafique R,Zhao F,de Jong R,et al.2016.Global and regional variability and change in terrestrial ecosystems net primary production and NDVI:A model-data comparison.Remote Sensing,8:177.
Rollinson CR,Liu Y,Raiho A,et al.2017.Emergent climate and CO2sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America.Global Change Biology,23:2755-2767.
Running SW,Nemani RR,Heinsch FA,et al.2004.A continuous satellite-derived measure of global terrestrial primary production.Bio Science,54:547-560.
Sun QL,Li BL,Zhou CH,et al.2017.A systematic review of research studies on the estimation of net primary productivity in the Three-River Headwater Region,China.Journal of Geographical Sciences,27:161-182.
Wang J,Dong J,Wang S,et al.2017a.Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012.Journal of Geophysical Research:Biogeosciences,122:261-278.
Wang SY,Zhang B,Yang QC,et al.2017b.Responses of net primary productivity to phenological dynamics in the Tibetan Plateau,China.Agricultural and Forest Meteorology,232:235-246.
Wang X,Tan K,Chen B,et al.2017c.Assessing the spatiotemporal variation and impact factors of net primary productivity in China.Scientific Reports,7:44415.
Yu T,Sun R,Xiao ZQ,et al.2018.Estimation of global vegetation productivity from global land surface satellite data.Remote Sensing,10:327.
Zhao M,Running SW,Nemani RR.2015.Sensitivity of Moderate Resolution Imaging Spectroradiometer(MODIS)terrestrial primary production to the accuracy of meteorological reanalyses.Journal of Geophysical Research:Biogeosciences,111:338-356.
Zhao M,Running SW.2010.Drought-induced reduction in global terrestrial net primary production from 2000 through2009.Science,329:940-943.
Zhao MS,Heinsch FA,Nemani RR,et al.2005.Improvements of the MODIS terrestrial gross and net primary production global data set.Remote Sensing of Environment,95:164-176.
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