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[1]SONG Yi,LI Xiaojun,JIANG Tao.Effects of Vegetation Coverage Change on Net Primary Productivity of Heihe River Basin During 2008-2014[J].Research of Soil and Water Conservation,2017,24(04):204-209,218.

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Effects of Vegetation Coverage Change on Net Primary Productivity of Heihe River Basin During 2008-2014

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 04 Page number: 204-209,218 Column: Public date: 2017-08-28

Title:: Effects of Vegetation Coverage Change on Net Primary Productivity of Heihe River Basin During 2008-2014

Author(s):: SONG Yi¹, LI Xiaojun², JIANG Tao^1,3; 1. College of Geomatics, Shan Dong University of Science and Technology, Qingdao, Shandong 266590, China;
2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
3. Key Laboratory of Surveying and Mapping Technology on Island and Reef, State Bureau of Surveying and Mapping, Qingdao, Shandong 266590, China

Keywords:: Heihe River Basin; Net primary productivity (NPP); vegetation coverage; remote sensing; MODIS

CLC:: F301.24

DOI:: -

Abstract:: Land use and cover change (LUCC) is one of the main factors that affect material circulations and energy flows in ecosystems. The change of vegetation coverage can reflect the LUCC, studies on how vegetation coverage change influences net primary productivity (NPP) are necessary for science-based planning of regional land use. Based on data of MODIS-Reflectance and MODIS-NPP from 2008 to 2014, the impacts of vegetation coverage change on NPP in Heihe River Basin were assessed. The main findings are: (1) the vegetation coverage in Heihe River Basin got the rise trend in 2008—2014; spatially, NPP on the south side of the river was more than that on the north side, and the NPP on Qilian Mountains and Zhangye City, Jiuquan City, Linze City were higher as compared to downstream area, and the NPP value reached the lowest in the northern downstream area; (2) compared to 2008, vegetation coverage of grade 1(coverage below 20%), grade 4(coverage between 40% and 60%), and grade 5(coverage above 60%) got the rise, while grade 2(coverage between 20% and 30%) and grade 3(coverage between 30% and 40%) got the reduction in 2014; (3) correlation-analysis showed that the vegetation coverage had the good indication of NPP, i. e., the correlation coefficient is more than 0.90; (4) during the period from 2008 to 2014, regional annual primary production increased from 6 052.82 GgC/a to 6 624.54 GgC/a, with the increase of 9.45%; the area of vegetation coverage of grade 1 decreased by 17 086 km², but the total NPP only decreased 25.65 GgC/a; vegetation coverage of grade 5 increased most, and total NPP increased from 2861.96 GgC/a to 3 206.86 GgC/a, with a increase of 344.90 GgC/a(i. e. 12.05%), while Vegetation coverage of grade 4 increased 251.84 GgC/a.

References:: [1] Field C B, Behrenfeld M J, Randerson J T, et al. Primary production of the biosphere:integrating terrestrial and oceanic components[J]. Science, 1998,281(5374):237-240.
[2] 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(S1):1-15.
[3] Matsushita B, Tamura M. Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia[J]. Remote Sensing of Environment, 2002,81(1):58-66.
[4] Euskirchen E S, Chen J, Li H, et al. Modeling landscape net ecosystem productivity(LandNEP)under alternative management regimes[J]. Ecological Modelling, 2002,154(1):75-91.
[5] Ruimy A, Saugier B, Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data[J]. Journal of Geophysical Research:Atmospheres, 1994,99(3):5263-5283.
[6] 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.
[7] 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.
[8] 王翠翠,蒋卫国,冯刚,等.2000-2010年武汉城市圈建设用地扩张对植被净初级生产力的影响[J].农业现代化研究,2015,36(4):674-679.
[9] 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.
[10] 张志强,徐中民,王建,等.黑河流域生态系统服务的价值[J].冰川冻土,2001,23(4):360-366.
[11] 张福平,冯起,李旭谱,等.黑河流域NPP遥感估算及其时空变化特征[J].中国沙漠,2014(6):1657-1664.
[12] 卢玲,李新.黑河流域植被净初级生产力的遥感估算[J].中国沙漠,2006,25(6):823-830.
[13] 怀保娟,李忠勤,孙美平,等.近50年黑河流域的冰川变化遥感分析[J].地理学报,2014,69(3):365-377.
[14] 王根绪,程国栋.近50年来黑河流域水文及生态环境变化[J].中国沙漠,1998,18(3):233-238.
[15] 马国泰.黑河流域景观生态特征分析研究[J].河西学院学报,2003,19(2):42-46.
[16] 张一驰,于静洁,乔茂云,等.黑河流域生态输水对下游植被变化影响研究[J].水利学报,2011,42(7):757-765.
[17] 李登科,范建忠,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.
[18] 顾娟,李新,黄春林.基于时序MODIS NDVI的黑河流域土地覆盖分类研究[J].地球科学进展,2010,25(3):317-326.
[19] 甘春英,王兮之,李保生,等.连江流域近18年来植被覆盖度变化分析[J].地理科学,2011,31(8):1019-1024.
[20] 赵舒怡,宫兆宁,刘旭颖.2001-2013年华北地区植被覆盖度与干旱条件的相关分析[J].地理学报,2015,70(5):717-729.
[21] Gutman G G. Vegetation indices from AVHRR:An update and future prospects[J]. Remote Sensing of Environment, 1991,35(2):121-136.
[22] Zhang J, Yao F, Fu C, et al. Study on response of ecosystem to the East Asian monsoon in eastern China using LAI data derived from remote sensing information[J]. Progress in Natural Science, 2004,14(3):279-282.

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