北京市门头沟区2003-2014年植被初级生产力时空变化
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摘要
采用CASA模型和30 m分辨率Landsat数据生成了门头沟区2003—2014年的植被净初级生产力(NPP)产品,分析了门头沟区NPP的空间分异特征,基于MODIS年NPP产品分析了门头沟区2003—2014年NPP的年际变化特征,基于MODIS植被总初级生产力(GPP)时间序列数据分析了门头沟区典型年份的年内GPP变化特征.结果表明:2003—2014年门头沟区NPP受地形及人为因素影响,低值区主要沿河流谷地及东部河流出山口处分布,在整体区域上呈现四周高、中间低的特征;自2005年以来年际NPP总体平稳,没有明显的增加或减少趋势;GPP年内波动明显,5—9月GPP/NPP的差异对不同年份间GPP/NPP差异的贡献最大.
Ten years NPP products of Mentougou District from 2003 to 2014 are generated using CASA model and Landsat remote sensing data. It is used to show the spatial distribution characteristic about Mentougou District' NPP. Inter-annual variability characteristic about Mentougou District' annual amount NPP is analyzed using MODIS17 A3 products from 2003 to 2014. The intra-annual variability characteristic about Mentougou District' GPP was analyzed based on MODIS17 A2 product in some typical years(namely 2004,2007, 2008,2009,2011,2012). The results show that the NPP of Mentougou District has a significant spatial differentiation characteristic that the value of NPP is low on median and it is high on other region. The NPP value is very low distributed along the river valleys. The annual amount NPP has no significant increasing or decreasing trend from 2005. GPP fluctuated significantly during the year. The differences in GPP/NPP between May and September contributed the most to the differences in GPP/NPP among different years.
Ten years NPP products of Mentougou District from 2003 to 2014 are generated using CASA model and Landsat remote sensing data. It is used to show the spatial distribution characteristic about Mentougou District' NPP. Inter-annual variability characteristic about Mentougou District' annual amount NPP is analyzed using MODIS17 A3 products from 2003 to 2014. The intra-annual variability characteristic about Mentougou District' GPP was analyzed based on MODIS17 A2 product in some typical years(namely 2004,2007, 2008,2009,2011,2012). The results show that the NPP of Mentougou District has a significant spatial differentiation characteristic that the value of NPP is low on median and it is high on other region. The NPP value is very low distributed along the river valleys. The annual amount NPP has no significant increasing or decreasing trend from 2005. GPP fluctuated significantly during the year. The differences in GPP/NPP between May and September contributed the most to the differences in GPP/NPP among different years.
引文
[1]SCURLOCK J,JOHNSON K,OLSON R J.Estimating net primary productivity from grassland biomass dynamics measurements[J].Global Change Biology,2002,8(8):736-753.
[2]赵军,师银芳,王大为.基于的内蒙古潜在植被空间分布特征研究[J].自然资源学报,2012,27(11):1870-1880.
[3]ZHANG R,HUANG C,ZHAN X,et al.Development and validation of the global surface type data product from S-NPP VIIRS[J].Remote Sensing Letters,2016,7(1):51-60.
[4]蒋蕊竹,李秀启,朱永安,等.基于黄河三角洲湿地与相关性的时空变化特征[J].生态学报,2011,31(22):6708-6716.
[5]WANG H,LIU G,LI Z,et al.Impacts of climate change on net primary productivity in arid and semiarid regions of China[J].Chinese Geographical Science,2016,26(1):35-47.
[6]ZHANG Y,HU Z,QI W,et al.Assessment of effectiveness of nature reserves on the Tibetan Plateau based on net primary production and the large sample comparison method[J].Journal of Geographical Sciences,2016,26(1):27-44.
[7]POVAROV V P,BAKIROV M B.Analysis of the reasons for damage in the welded assembly joining the hot collector of first-loop coolant to the Du 1200 tube of the steam generators in no5 unit of the novovoronezh NPP[J].Atomic Energy,2016,119(3):153-162.
[8]KICKLIGHTER D W,BONDEAU A,SCHLOSS A L,et al.Comparing global models of terrestrial net primary productivity(NPP):Global pattern and differentiation by major biomes[J].Global Change Biology,1999,51(5):16-24.
[9]CRAMER W,FIELD C B.Comparing global models of terrestrial net primary productivity(NPP):Introduction[J].Global Change Biology,1999,5(51):III-IV.
[10]CRAMER W,KICKLIGHTER D W,BONDEAU A,et al.Comparing global models of terrestrial net primary productivity(NPP):Overview and key results[J].Global Change Biology,1999,51(5):1-15.
[11]陈福军,沈彦俊,李倩,等.中国陆地生态系统近年时空变化研究[J].地理科学,2011,31(11):1409-1414.
[12]刘军会,高吉喜.气候和土地利用变化对北方农牧交错带植被变化的影响[J].资源科学,2009,31(3):493-500.
[13]董丹,倪健.利用模型模拟西南喀斯特植被净第一性生产力[J].生态学报,2011,31(7):1855-1866.
[14]张镱锂,祁威,周才平,等.青藏高原高寒草地净初级生产力时空分异[J].地理学报,2014,24(2):269-287.
[15]李秀芬,郑有飞,王晨轶,等.黑龙江省森林的遥感反演[J].中国农业气象,2009,31(1):88-92.
[16]管小彬,沈焕锋,甘文霞,等.基于Landsat TM/ETM+影像的武汉市冬季NPP估算及其时空变化分析[J].遥感技术与应用,2015,30(5):884-890,
[17]韩艳飞,柯长青,李晶.近30年关天经济区植被净初级生产力对土地利用变化的动态响应[J].干旱区资源与环境,2014,28(6):68-74.
[18]袁甲,沈非,王甜甜,等.2000-2010年皖江城市带土地利用/覆被变化对区域净初级生产力的影响[J].水土保持研究,2016,23(5):245-250.
[19]李世华.基于数据-模型融合方法植被初级生产力遥感监测研究[D].北京:中国科学院遥感应用研究所,2007.
[20]XIAO X,ZHANG Q,BOLES S,et al.Mapping snow cover in the pan-Arctic zone,using multi-year(1998-2001)images from optical VEGETATION sensor[J].International Journal of Remote Sensing,2004,25(24):5731-5744.
[21]RAICH J,CASINOS A.Limb proportions in terrestrial mammals[J].Belgian Journal of Zoology,1991,121(2):295-314.
[22]SCHUBERT S D,ROOD R B,PFAENDTNER J.An assimilated dataset for earth science applications[J].Bulletin of the American Meteorological Society,1993,74(12):2331-2342.
[23]WU M,WU C,HUANG W,et al.An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery[J].Information Fusion,2016,31:14-25.
[24]WU M,NIU Z,WANG C,et al.Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model[J].Journal of Applied Remote Sensing,2012,6(6):1-8.
[2]赵军,师银芳,王大为.基于的内蒙古潜在植被空间分布特征研究[J].自然资源学报,2012,27(11):1870-1880.
[3]ZHANG R,HUANG C,ZHAN X,et al.Development and validation of the global surface type data product from S-NPP VIIRS[J].Remote Sensing Letters,2016,7(1):51-60.
[4]蒋蕊竹,李秀启,朱永安,等.基于黄河三角洲湿地与相关性的时空变化特征[J].生态学报,2011,31(22):6708-6716.
[5]WANG H,LIU G,LI Z,et al.Impacts of climate change on net primary productivity in arid and semiarid regions of China[J].Chinese Geographical Science,2016,26(1):35-47.
[6]ZHANG Y,HU Z,QI W,et al.Assessment of effectiveness of nature reserves on the Tibetan Plateau based on net primary production and the large sample comparison method[J].Journal of Geographical Sciences,2016,26(1):27-44.
[7]POVAROV V P,BAKIROV M B.Analysis of the reasons for damage in the welded assembly joining the hot collector of first-loop coolant to the Du 1200 tube of the steam generators in no5 unit of the novovoronezh NPP[J].Atomic Energy,2016,119(3):153-162.
[8]KICKLIGHTER D W,BONDEAU A,SCHLOSS A L,et al.Comparing global models of terrestrial net primary productivity(NPP):Global pattern and differentiation by major biomes[J].Global Change Biology,1999,51(5):16-24.
[9]CRAMER W,FIELD C B.Comparing global models of terrestrial net primary productivity(NPP):Introduction[J].Global Change Biology,1999,5(51):III-IV.
[10]CRAMER W,KICKLIGHTER D W,BONDEAU A,et al.Comparing global models of terrestrial net primary productivity(NPP):Overview and key results[J].Global Change Biology,1999,51(5):1-15.
[11]陈福军,沈彦俊,李倩,等.中国陆地生态系统近年时空变化研究[J].地理科学,2011,31(11):1409-1414.
[12]刘军会,高吉喜.气候和土地利用变化对北方农牧交错带植被变化的影响[J].资源科学,2009,31(3):493-500.
[13]董丹,倪健.利用模型模拟西南喀斯特植被净第一性生产力[J].生态学报,2011,31(7):1855-1866.
[14]张镱锂,祁威,周才平,等.青藏高原高寒草地净初级生产力时空分异[J].地理学报,2014,24(2):269-287.
[15]李秀芬,郑有飞,王晨轶,等.黑龙江省森林的遥感反演[J].中国农业气象,2009,31(1):88-92.
[16]管小彬,沈焕锋,甘文霞,等.基于Landsat TM/ETM+影像的武汉市冬季NPP估算及其时空变化分析[J].遥感技术与应用,2015,30(5):884-890,
[17]韩艳飞,柯长青,李晶.近30年关天经济区植被净初级生产力对土地利用变化的动态响应[J].干旱区资源与环境,2014,28(6):68-74.
[18]袁甲,沈非,王甜甜,等.2000-2010年皖江城市带土地利用/覆被变化对区域净初级生产力的影响[J].水土保持研究,2016,23(5):245-250.
[19]李世华.基于数据-模型融合方法植被初级生产力遥感监测研究[D].北京:中国科学院遥感应用研究所,2007.
[20]XIAO X,ZHANG Q,BOLES S,et al.Mapping snow cover in the pan-Arctic zone,using multi-year(1998-2001)images from optical VEGETATION sensor[J].International Journal of Remote Sensing,2004,25(24):5731-5744.
[21]RAICH J,CASINOS A.Limb proportions in terrestrial mammals[J].Belgian Journal of Zoology,1991,121(2):295-314.
[22]SCHUBERT S D,ROOD R B,PFAENDTNER J.An assimilated dataset for earth science applications[J].Bulletin of the American Meteorological Society,1993,74(12):2331-2342.
[23]WU M,WU C,HUANG W,et al.An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery[J].Information Fusion,2016,31:14-25.
[24]WU M,NIU Z,WANG C,et al.Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model[J].Journal of Applied Remote Sensing,2012,6(6):1-8.