淮河流域植被降水利用效率时空格局分析
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摘要
利用2001～2016年MODIS NDVI及气象数据,基于CASA(Carnegie-Ames-Stanford Approach)模型估算了淮河流域植被净初级生产力(Net Primary Productivity, NPP),并结合降水量数据,分析植被降水利用效率(Precipitation Use Efficiency,PUE)的时空分布特征及其对气候因子的响应。结果表明:①2001～2016年间淮河流域的植被平均PUE为0.598 g C/(m~2·mm),总体呈下降趋势;②淮河流域植被降水利用效率空间上呈规律性变化,流域北部PUE增加,南部降低;③淮河流域不同植被类型PUE有较大差异,大部分地区为农田且PUE最高,其次是森林、灌丛,最后为草甸;④淮河流域99.7%的地区PUE与降水量呈负相关,而80.1%的地区与温度为正相关;⑤降水量是影响淮河流域植被PUE的重要因素。
Using MODIS NDVI and meteorological data from 2001 to 2016,the net primary productivity(NPP) of vegetation in the Huaihe River basin was estimated based on CASA(Carnegie-Ames-Stanford Approach) model. In combination with precipitation data, space-time distribution characteristics of precipitation use efficiency(PUE) of vegetation and its response to climate factors were analyzed. Results showed that(1) the average PUE of vegetation in the Huaihe River basin was 0.598 g C/(m~2·mm) between 2001 and 2016, showing an overall downward trend;(2) PUE in the Huaihe River basin had been changing regularly, increasing in the north of the basin and decreasing in the south;(3) PUE of different vegetation types in the Huaihe River basin were quite different. Most areas were farmland where PUE was the highest, followed by forest, shrub and meadow;(4) PUE was negatively correlated with precipitation in 99.7% of the Huaihe River basin, it was positively correlated with temperature in 80.1% of the basin;(5) Precipitation was an important factor affecting PUE in the Huaihe River basin.
Using MODIS NDVI and meteorological data from 2001 to 2016,the net primary productivity(NPP) of vegetation in the Huaihe River basin was estimated based on CASA(Carnegie-Ames-Stanford Approach) model. In combination with precipitation data, space-time distribution characteristics of precipitation use efficiency(PUE) of vegetation and its response to climate factors were analyzed. Results showed that(1) the average PUE of vegetation in the Huaihe River basin was 0.598 g C/(m~2·mm) between 2001 and 2016, showing an overall downward trend;(2) PUE in the Huaihe River basin had been changing regularly, increasing in the north of the basin and decreasing in the south;(3) PUE of different vegetation types in the Huaihe River basin were quite different. Most areas were farmland where PUE was the highest, followed by forest, shrub and meadow;(4) PUE was negatively correlated with precipitation in 99.7% of the Huaihe River basin, it was positively correlated with temperature in 80.1% of the basin;(5) Precipitation was an important factor affecting PUE in the Huaihe River basin.
引文
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[19] Huxman T E,Smith M D,Fay P A,et al.Convergence across biomes to a common rain-use efficiency[J].Nature,2004,429,(6992):651-654.
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[2] Gao Z H,Li Z Y,Ding G D,et al.New approach for desertification assessment by remote sensing based upon rain use efficiency of vegetation[J].Science of Soil and Water Conservation,2005,3(2):37-41.
[3] Bai Y F,Wu J G,Qi X,et al.Primary production and rain use efficiency across a precipitation gradient on the Mongolia Plateau[J].Ecology,2008,89(8):2140-2153.
[4] Hu Z M,Yu G R,Fan J W,et al.Precipitation-use efficiency along a 4500-km grassland transect[J].Global Ecology and Biogeography,2010,19(6):842-851.
[5] 叶辉,王军邦,黄玫,等.青藏高原植被降水利用效率的空间格局及其对降水和气温的响应[J].植物生态学报,2012,36(12):1237-1247.
[6] 穆少杰,游永亮,朱超,等.中国西北部草地植被降水利用效率的时空格局[J].生态学报,2017,37(5):1458-1471.
[7] 张亚玲,苏惠敏,张小勇.1998-2012年黄河流域植被覆盖变化时空分析[J].中国沙漠,2014,34(2):597-602.
[8] 张艳芳,王姝.黄土高原植被利用降水效率对植被恢复/退化的响应[J].干旱区地理,2017,40(1):138-146.
[9] 杜加强,舒俭民,张林波.基于植被降水利用效率和NDVI的黄河上游地区生态退化研究[J].生态学报,2012,32(11):3404-3413.
[10] 宋洪秋,千怀遂,俞芬,等.全球气候变化下淮河流域冬小麦气候适宜性评价[J].自然资源学报,2009,24(5):890-897.
[11] 张正涛,高超,刘青,等.不同重现期下淮河流域暴雨洪涝灾害风险评价[J].地理研究,2014,33(7):1361-1372.
[12] 穆少杰,周可新,齐杨,等.内蒙古植被降水利用效率的时空格局及其驱动因素[J].植物生态学报,2014,38(1):1-16.
[13] 童成立,张文菊,汤阳,等.逐日太阳辐射的模拟计算[J].中国农业气象,2005,26(3):165-169.
[14] 董丹,倪健.利用CASA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.
[15] 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.
[16] 陈利军,刘高焕,励惠国.中国植被净第一性生产力遥感动态监测[J].遥感学报,2002,6(2):129-135.
[17] 朱文泉,潘耀忠,党中华,等.基于GIS和RS的区域陆地植被NPP估算——以中国内蒙古为例[J].遥感学报,2005,9(3):300-307.
[18] 石志华,刘梦云,吴健利,等.基于CASA模型的陕西省植被净初级生产力时空分析[J].水土保持通报,2016,36(1):206-211.
[19] Huxman T E,Smith M D,Fay P A,et al.Convergence across biomes to a common rain-use efficiency[J].Nature,2004,429,(6992):651-654.
[20] Yang Y H,Fang J Y,Fay P A,et al.Rain use efficiency across a precipitation gradient on the Tibetan Plateau[J].Geophysical Research Letters,2010,37(15):78-82.