2000～2015年江汉平原区域植被NPP时空特征及其对气候变化的响应
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摘要
植被NPP对气候变化的响应是全球变化与陆地生态系统碳循环研究的重要核心内容之一。利用CASA模型估算了2000～2015年江汉平原植被NPP,并利用线性回归与逐像元相关性分析方法定量研究了江汉平原植被NPP的时空变化特征及其与气候因素的相关性。结果表明:(1)16年来江汉平原植被NPP的年总量在25.43～29.76 TgC之间,呈波动增加趋势;(2)江汉平原NPP的空间分布格局具有明显的不均匀特征,形成一系列的高值中心和低值中心,符合"丘陵-平原-河流-城市"的衰减趋势;(3)江汉平原NPP与年降水量、年均温的相关系数分别为0.183 7和0.498 5;经显著性检验可知,江汉平原NPP的产量与年降水量相关性较弱,而与年均温则呈较强的正相关关系;(4)植被NPP与年降水量、年均温呈正相关的像元面积分别占总面积的69.19%和83.41%,主要分布在江汉平原腹部的农耕区域,说明江汉平原农耕区NPP的产量对年降水量与年均温的依赖性较强。
Response of vegetation NPP to climate change is one of the key issues in the study of global change and terrestrial ecosystem carbon cycle. In this paper, vegetation NPP was estimated by CASA model in Jianghan Plain from 2000 to 2015, and the spatial-temporal variation characteristics of vegetation NPP and its relativities with climatic factors were quantitatively studied by linear regression and pixel correlation analysis. Results are summarized as follows:(1) Total annual NPP ranged from 25.43 to 29.76 TgC in Jianghan Plain from 2000 to 2015, and showing an increasing trend of fluctuation.(2) The spatial distribution pattern of NPP in Jianghan Plain is obviously uneven, forming a series of high value and low value centers, which was consistent with the attenuation trend of "hills-plain-river-city".(3) The correlation coefficients between NPP and annual precipitation, and annual mean temperature were 0.183 7 and 0.498 5, respectively; and the significant test of correlation coefficient indicated that the yield of NPP in Jianghan Plain has a weak correlation with annual precipitation, but a positive correlation with annual mean temperature.(4) The area with positive correlation between NPP and annual precipitation and annual mean temperature accounted for 69.19% and 83.41% of the total area, respectively, mainly distributed in the agricultural region in the abdomen of Jianghan Plain, which indicated that the yield of NPP in the agricultural region of Jianghan Plain was strongly dependent on the annual precipitation and annual mean temperature.
Response of vegetation NPP to climate change is one of the key issues in the study of global change and terrestrial ecosystem carbon cycle. In this paper, vegetation NPP was estimated by CASA model in Jianghan Plain from 2000 to 2015, and the spatial-temporal variation characteristics of vegetation NPP and its relativities with climatic factors were quantitatively studied by linear regression and pixel correlation analysis. Results are summarized as follows:(1) Total annual NPP ranged from 25.43 to 29.76 TgC in Jianghan Plain from 2000 to 2015, and showing an increasing trend of fluctuation.(2) The spatial distribution pattern of NPP in Jianghan Plain is obviously uneven, forming a series of high value and low value centers, which was consistent with the attenuation trend of "hills-plain-river-city".(3) The correlation coefficients between NPP and annual precipitation, and annual mean temperature were 0.183 7 and 0.498 5, respectively; and the significant test of correlation coefficient indicated that the yield of NPP in Jianghan Plain has a weak correlation with annual precipitation, but a positive correlation with annual mean temperature.(4) The area with positive correlation between NPP and annual precipitation and annual mean temperature accounted for 69.19% and 83.41% of the total area, respectively, mainly distributed in the agricultural region in the abdomen of Jianghan Plain, which indicated that the yield of NPP in the agricultural region of Jianghan Plain was strongly dependent on the annual precipitation and annual mean temperature.
引文
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[16] 王伦澈,龚威,张淼,等.武汉地区植被NPP动态监测研究[J].武汉大学学报(信息科学版),2013,38(5):548-552.WANG L C,GONG W,ZHANG M,et al.Dynamic monitoring of vegetation NPP in Wuhan based on MODIS[J].Geomatics and Information Science of Wuhan University,2013,38(5):548-552.
[17] 陈涛,赵丽娅,侯邦飞,等.基于CASA模型的武汉市生态系统净初级生产力(NPP)遥感估算[J].湖北大学学报(自然科学版),2018,40(3):315-322.CHEN T,ZHAO L Y,HOU B F,et al.Remote sensing estimation net primary productivity (NPP) of ecosystem in Wuhan City using the CASA model[J].Journal of Hubei University (Natural Science),2018,40(3):315-322.
[18] XU K,KONG C F,LIU G,et al.Changes of urban wetlands in Wuhan,China,from 1987 to 2005[J].Progress in Physical Geography,2010,34(2):207-220.
[19] 中国科学院中国植被图编辑委员会.1∶1 000 000中国植被图集[M].北京:科学出版社,2001.EDITORIAL COMMITTEE OF CHINA VEGETATION MAP,CHINESE ACADEMY OF SCIENCES.1∶1 000 000 Chinese vegetation atlas[M].Beijing:Science Press,2001.
[20] POTTER C S,RANDERSON J T,FIELD C B,et al.Terrestrial ecosystem production:A process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,7(4):811-841.
[21] FIELD C B,RANDERSON J T,MALMSTR?M C M.Global net primary production:Combining ecology and remote sensing[J].Remote Sensing of Environment,1995,51(1):74-88.
[22] 陶波,李克让,邵雪梅,等.中国陆地净初级生产力时空特征模拟[J].地理学报,2003,58(3):372-380.TAO B,LI K R,SHAO X M,et al.Temporal and spatial pattern of net primary production of terrestrial ecosystems in China[J].Acta Geographica Sinica,2003,58(3):372-380.
[23] 何勇,董文杰,季劲均,等.基于AVIM的中国陆地生态系统净初级生产力模拟[J].地球科学进展,2005,20(3):345-349.HE Y,DONG W J,JI J J,et al.The net primary production simulation of terrestrial ecosystems in China by AVIM[J].Advances in Earth Science,2005,20(3):345-349.
[24] LIU Y B,JU W M,HE H L,et al.Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data[J].Frontiers of Earth Science,2013,7(1):112-127.
[2] 朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424.ZHU W Q,PAN Y Z,ZHANG J S.Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing[J].Journal of Plant Ecology,2007,31(3):413-424.
[3] FANG J,CHEN A,PENG C,et al.Changes in forest biomass carbon storage in China between 1949 and 1998[J].Science,2001,292(5525):2320-2322.
[4] 周广胜,张新时.全球气候变化的中国自然植被的净第一性生产力研究[J].植物生态学报,1996,20(1):11-19.ZHOU G S,ZHANG X S.Study on NPP of natural vegetation in China under global climate change[J].Acta Phytoecologica Sinica,1996,20(1):11-19.
[5] RUNNING S W.Ecosystem disturbance,carbon,and climate[J].Science,2008,321(5889):652-653.
[6] IGBP Terrestrial Carbon Working Group.The terrestrial carbon cycle:Implications for the Kyoto Protocol[J].Science,1998,280(5368):1393-1994.
[7] 孙睿,朱启疆.气候变化对中国陆地植被净第一性生产力影响的初步研究[J].遥感学报,2001,5(1):58-61.SUN R,ZHU Q J.Effect of climate change of terrestrial Net Primary Productivity in China[J].Journal of Remote Sensing,2001,5(1):58-61.
[8] PIAO S,CIAIS P,LOMAS M,et al.Contribution of climate change and rising CO2 to terrestrial carbon balance in East Asia:A multi-model analysis[J].Global & Planetary Change,2011,75(3-4):133-142.
[9] NEMANI R R,KEELING C D,HASHIMOTO H,et al.Climate-driven increases in global terrestrial net primary production from 1982 to 1999[J].Science,2003,300(5625):1560.
[10] 朴世龙,方精云,郭庆华.利用CASA模型估算我国植被净第一性生产力[J].植物生态学报,2001,25(5):603-608.PIAO S L,FANG J Y,GUO Q H.Application of CASA model to the estimation of Chinese terrestrial Net Primary Productivity[J].Acta Phytoecologica Sinica,2001,25(5):603-608.
[11] 陈福军,沈彦俊,李倩,等.中国陆地生态系统近30年NPP时空变化研究[J].地理科学,2011,31(11):1409-1414.CHEN F J,SHEN Y J,LI Q,et al.Spatio-temporal variation analysis of ecological systems NPP in China in past 30 years[J].Scientia Geographica Sinica,2011,31(11):1409-1414.
[12] 周广胜,何奇瑾,殷晓洁.中国植被/陆地生态系统对气候变化的适应性与脆弱性[M].北京:气象出版社.2015.ZHOU G S,HE Q J,YING X J.Adaptability and vulnerability of Chinese vegetation / terrestrial ecosystems under climate change[M].Beijing:Meteorology Press,2015.
[13] 刘刚,孙睿,肖志强,等.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[J].生态学报,2017,37(15):4936-4945.LIU G,SUN R,XIAO Z Q,et al.Analysis of spatial and temporal variation of Net Primary Productivity and climate controls in China from 2001 to 2014[J].Acta Ecologica Sinica,2017,37(15):4936-4945.
[14] 岑奕,张良培,李平湘,等.植被净初级生产力的遥感模型在武汉地区的应用[J].遥感技术与应用,2008,23(1):12-16.CEN Y,ZHANG L P,LI P X,et al.Study on zonal Net Primary Productivity estimation model using Landsat data[J].Remote Sensing Technology and Application,2008,23(1):12-16.
[15] 张娜,毛飞跃,龚威.2009年武汉市植被净初级生产力估算[J].武汉大学学报(信息科学版),2011,36(12):1447-1450.ZHANG N,MAO F Y,GONG W.Estimation of Net Primary Productivity on vegetation of Wuhan in 2009[J].Geomatics and Information Science of Wuhan University,2011,36(12):1447-1450.
[16] 王伦澈,龚威,张淼,等.武汉地区植被NPP动态监测研究[J].武汉大学学报(信息科学版),2013,38(5):548-552.WANG L C,GONG W,ZHANG M,et al.Dynamic monitoring of vegetation NPP in Wuhan based on MODIS[J].Geomatics and Information Science of Wuhan University,2013,38(5):548-552.
[17] 陈涛,赵丽娅,侯邦飞,等.基于CASA模型的武汉市生态系统净初级生产力(NPP)遥感估算[J].湖北大学学报(自然科学版),2018,40(3):315-322.CHEN T,ZHAO L Y,HOU B F,et al.Remote sensing estimation net primary productivity (NPP) of ecosystem in Wuhan City using the CASA model[J].Journal of Hubei University (Natural Science),2018,40(3):315-322.
[18] XU K,KONG C F,LIU G,et al.Changes of urban wetlands in Wuhan,China,from 1987 to 2005[J].Progress in Physical Geography,2010,34(2):207-220.
[19] 中国科学院中国植被图编辑委员会.1∶1 000 000中国植被图集[M].北京:科学出版社,2001.EDITORIAL COMMITTEE OF CHINA VEGETATION MAP,CHINESE ACADEMY OF SCIENCES.1∶1 000 000 Chinese vegetation atlas[M].Beijing:Science Press,2001.
[20] POTTER C S,RANDERSON J T,FIELD C B,et al.Terrestrial ecosystem production:A process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,7(4):811-841.
[21] FIELD C B,RANDERSON J T,MALMSTR?M C M.Global net primary production:Combining ecology and remote sensing[J].Remote Sensing of Environment,1995,51(1):74-88.
[22] 陶波,李克让,邵雪梅,等.中国陆地净初级生产力时空特征模拟[J].地理学报,2003,58(3):372-380.TAO B,LI K R,SHAO X M,et al.Temporal and spatial pattern of net primary production of terrestrial ecosystems in China[J].Acta Geographica Sinica,2003,58(3):372-380.
[23] 何勇,董文杰,季劲均,等.基于AVIM的中国陆地生态系统净初级生产力模拟[J].地球科学进展,2005,20(3):345-349.HE Y,DONG W J,JI J J,et al.The net primary production simulation of terrestrial ecosystems in China by AVIM[J].Advances in Earth Science,2005,20(3):345-349.
[24] LIU Y B,JU W M,HE H L,et al.Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data[J].Frontiers of Earth Science,2013,7(1):112-127.