2000—2014年山东省植被净初级生产力对土地覆盖变化的响应
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摘要
土地覆盖变化是影响植被净初级生产力(NPP)的关键因素之一.本研究基于MOD17A3 NPP数据和MCD12Q1土地覆盖数据,利用经典统计和空间分析相结合的方法,对2000—2014年山东省植被NPP空间分布格局及其时空变异特征进行定量分析,探讨NPP的时空动态对土地覆盖变化的响应特征,以及土地覆盖变化在植被NPP变化中的贡献率.结果表明,山东省内主要土地覆盖类型为耕地,森林、灌木和草地分布相对较少,其分布状况具有明显的区域性特征;山东省多年平均NPP为368.94 g C·m~(-2)·yr~(-1),空间分布总体上呈现为东南高于西北,沿海高于内陆;2000-2014年山东省四种土地覆盖类型的年平均NPP呈现耕地>森林>灌木>草地的趋势;大部分区域NPP呈上升趋势,但不显著,主要分布在山东中部、西部和西北部,NPP减少显著的区域主要集中在烟台市和青岛市附近;不同土地覆盖类型间存在差异,但整体上土地覆盖变化增加了NPP;草地的贡献率(66.31%)最高,森林次之,再次为灌木,耕地(5.95%)最低.
Land cover change is one of the key factors affecting net primary productivity(NPP) of vegetation.Based on MOD17A3 NPP data and MCD12Q1 land cover data,the spatial distribution pattern and spatial-temporal variability of NPP in Shandong Province from 2000 to 2014 were quantitatively analyzed by using the method of classical statistics and spatial analysis.The response characteristics of NPP spatial-temporal dynamics to land cover change and the contribution rate of land cover change to vegetation NPP change were discussed.The results show that the main land cover types in Shandong Province are cultivated land,and the distribution of forests,shrubs and grasslands is relatively small,and its distribution has obvious regional characteristics.The average annual NPP of Shandong Province is 368.94 g C·m~(-2)·yr~(-1),and the spatial distribution is generally higher than that of the southeast.In the northwest,the coastal area is higher than inland.The annual average NPP of four land cover types in Shandong Province from 2000 to 2014 shows the trend of cultivated land>forest>shrub>grass and most areas have an upward trend,but not significant,mainly distributed in Shandong.In the central,western and northwestern regions,the significant areas of NPP reduction are mainly concentrated in Yantai City and Qingdao City.There are differences among different land cover types,but the overall land cover change has increased NPP.The contribution rate of grassland(66.31%) is the highest,followed by forest,shrub and cultivated land(5.95%) is the lowest.
Land cover change is one of the key factors affecting net primary productivity(NPP) of vegetation.Based on MOD17A3 NPP data and MCD12Q1 land cover data,the spatial distribution pattern and spatial-temporal variability of NPP in Shandong Province from 2000 to 2014 were quantitatively analyzed by using the method of classical statistics and spatial analysis.The response characteristics of NPP spatial-temporal dynamics to land cover change and the contribution rate of land cover change to vegetation NPP change were discussed.The results show that the main land cover types in Shandong Province are cultivated land,and the distribution of forests,shrubs and grasslands is relatively small,and its distribution has obvious regional characteristics.The average annual NPP of Shandong Province is 368.94 g C·m~(-2)·yr~(-1),and the spatial distribution is generally higher than that of the southeast.In the northwest,the coastal area is higher than inland.The annual average NPP of four land cover types in Shandong Province from 2000 to 2014 shows the trend of cultivated land>forest>shrub>grass and most areas have an upward trend,but not significant,mainly distributed in Shandong.In the central,western and northwestern regions,the significant areas of NPP reduction are mainly concentrated in Yantai City and Qingdao City.There are differences among different land cover types,but the overall land cover change has increased NPP.The contribution rate of grassland(66.31%) is the highest,followed by forest,shrub and cultivated land(5.95%) is the lowest.
引文
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[27] 王芳,汪左,张运.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[J].生态学报,2018,38(8):2754-2767.
[28] 王钊,李登科.2000—2015年陕西省植被净初级生产力时空分布特征及其驱动因素[J].应用生态学报,2018,29(6):1876-1884.
[29] 田永生,郭阳耀,张培栋,等.区域净初级生产力动态及其与气象因子的关系[J].草业科学,2010,27(2):8-17.
[30] 钞振华,张培栋,王旭峰,等.近10年来山东区域NPP时空变化分析[J].草业科学,2013,30(6):829-835.
[31] 成方妍,刘世梁,张月秋,等.基于MODIS序列的北京市土地利用变化对净初级生产力的影响[J].生态学报,2017,37(18):5924-5934.
[32] 王原,黄玫,王祥荣.气候和土地利用变化对上海市农田生态系统净初级生产力的影响[J].环境科学学报,2010,30(3):641-648.
[33] 王新闯,王世东,王合兵.基于 MOD17A3的河南省NPP时空格局[J].生态学杂志,2013,32(10):2797-2805.
[34] 王宗明,国志兴,宋开山,等.2000—2005年三江平原土地利用/覆被变化对植被净初级生产力的影响研究[J].自然资源学报,2009,24(1):136-146.
[35] 李登科,范建中,王娟.基于MOD17A3的陕西省植被NPP变化特征[J].生态学杂志,2011,30(12):2776-2782.
[36] 王琳,景元书,李琨.江苏省植被NPP时空特征及气候因素的影响[J].生态环境学报,2010,19(11):2529-2533.
[37] 陶波.中国陆地生态系统净初级生产力与净生态系统生产力模拟研究[D].北京:中国科学院大学,2003.
[2] LU X L,ZHOU Y Y,LIU Y L,et al.The role of protected areas in land use/land cover change and the carbon cycle in the conterminous United States[J].Global Change Biology,2018,24(2):617-630.
[3] SLEETER B M,LIU J X,DANIEL C,et al.Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States[J].Environmental Research Letters,2018,13(4):045006.
[4] ZHAO M S,RUNNING S W.Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J].Science,2010,329:940-943.
[5] 陈晓玲,曾永年.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[J].地理学报,2016,71(1):35-48.
[6] KHALIFA M,ELAGIB N A,RIBBE L,et al.Spatio-temporal variations in climate,primary productivtiy and efficiency of water and carbon use of the land cover types in Sudan and Ethiopia[J].Science of the Total Environment,2018,624:790-806.
[7] 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):1560-1563.
[8] 朱士华,艳燕,邵华,等.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[J].自然资源学报,2017,32(11):1844-1856.
[9] JONES M O,RUNNING S W,KIMBALL J S,et al.Terrestrial primary productivity indicators for inclusion in the national climate indicators system[J].Climatic Change,2018(3):1-14.
[10] HABERL H.Human appropriation of net primary production as an environmental indicator:Implications for sustainable development[J].Ambio,1997,26(3):143-146.
[11] PEI F S,LI X,LIU X P,et al.Assessing the differences in net primary productivity between pre- and post-urban land development in China[J].Agriculture and Forest Meteorology,2013,171/172:174-186.
[12] QUESADA B,ARNETH A,ROBERTSON E,et al.Potential strong contribution of future anthropogenic land-use and land-cover change to the terrestrial carbon cycle[J].Environmental Research Letters,2018,13(6):064023.
[13] POTTER C,KLOOSTER S,GENOVESE V.Net primary production of terrestrial ecosystems from 2000 to 2009[J].Climatic Change,2012,115(2):365-378.
[14] 崔林丽,史军,肖风劲.气候要素及El Niňo/La Niňa事件对中国陆地NPP变化的影响[J].地理学报,2018,73(1):54-66.
[15] 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,1999,5(Suppl.1):1-15.
[16] RAFIQUE R,ZHAO F,DW J R,et al.Global and regional variability and change in terrestrial ecosystems net primary production and NDVI:a model-data comparison[J].Remote Sensing,2016,8(3):177.
[17] ROLLINSON C R,LIU Y,RAIHO A,et al.Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America[J].Global Change Biology,2017,23(7):2755-2767.
[18] WANG S Y,ZHANG B,YANG Q C,et al.Responses of net primary productivity to phenological dynamics in the Tibetan Plateau,China[J].Agricultural and Forest Meteorology,2017,232:235-246.
[19] SUN Q L,LI B L,ZHOU C H,et al.A systematic review of research studies on the estimation of net primary productivity in the Three-River Headwater Region,China[J].Journal of Geographical Sciences,2017,27(2):161-182.
[20] ARDO J,TAGESSON T,JAMALI S,et al.MODIS EVI-based net primary production in the Sahel 2000-2014[J].International Journal of Applied Earth Observation and Geoinformation,2018,65:35-45.
[21] YU T,SUN R,XIAO Z Q,et al.Estimation of global vegetation productivity from global land surface satellite data[J].Remote Sensing,2018,10(2):327.
[22] RUNNING S W,NEMANI R R,HEINSCH F A,et al.A continuous satellite-derived measure of global terrestrial primary production[J].BioScience,2004,54(6):547-560.
[23] ZHAO M S,HEINSCH F A,NEMANI R R,et al.Improvements of the MODIS terrestrial gross and net primary production global data set[J].Remote Sensing of Environment,2005,95(2):164-176.
[24] PENG D L,ZHANG B,Wu C Y,et al.Country-level net primary production distribution and response to drought and land cover change[J].Science of the Total Environment,2017,574:65-77.
[25] HE Y,PIAO S L,LI X Y,et al.Global patterns of vegetation carbon use efficiency and their climate drivers deduced from MODIS satellite data and process-based models[J].Agricultural and Forest Meteorology,2018,256/257:150-158.
[26] 李登科,王钊.基于MOD17A3的中国陆地植被NPP变化特征分析[J].生态环境学报,2018,27(3):397-405.
[27] 王芳,汪左,张运.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[J].生态学报,2018,38(8):2754-2767.
[28] 王钊,李登科.2000—2015年陕西省植被净初级生产力时空分布特征及其驱动因素[J].应用生态学报,2018,29(6):1876-1884.
[29] 田永生,郭阳耀,张培栋,等.区域净初级生产力动态及其与气象因子的关系[J].草业科学,2010,27(2):8-17.
[30] 钞振华,张培栋,王旭峰,等.近10年来山东区域NPP时空变化分析[J].草业科学,2013,30(6):829-835.
[31] 成方妍,刘世梁,张月秋,等.基于MODIS序列的北京市土地利用变化对净初级生产力的影响[J].生态学报,2017,37(18):5924-5934.
[32] 王原,黄玫,王祥荣.气候和土地利用变化对上海市农田生态系统净初级生产力的影响[J].环境科学学报,2010,30(3):641-648.
[33] 王新闯,王世东,王合兵.基于 MOD17A3的河南省NPP时空格局[J].生态学杂志,2013,32(10):2797-2805.
[34] 王宗明,国志兴,宋开山,等.2000—2005年三江平原土地利用/覆被变化对植被净初级生产力的影响研究[J].自然资源学报,2009,24(1):136-146.
[35] 李登科,范建中,王娟.基于MOD17A3的陕西省植被NPP变化特征[J].生态学杂志,2011,30(12):2776-2782.
[36] 王琳,景元书,李琨.江苏省植被NPP时空特征及气候因素的影响[J].生态环境学报,2010,19(11):2529-2533.
[37] 陶波.中国陆地生态系统净初级生产力与净生态系统生产力模拟研究[D].北京:中国科学院大学,2003.
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