img

Wechat

  • CN 62-1070/P
  • ISSN 1000-694X
  • Bimonthly 1981
Adv search

Spatial-temporal Dynamics of Vegetation Coverage and Responding to Climate Change in Shiyang River Basin during 2000-2015

  • Li Lili ,
  • Wang Dawei ,
  • Han Tao
Expand
  • 1. College of Earth Environmental Sciences, Lanzhou University, Lanzhou 730000, China;
    2. Northwest Regional Climate Center, Lanzhou 730020, China

Received date: 2017-03-17

  Revised date: 2017-06-30

  Online published: 2018-11-03

Abstract

The sensitivity of vegetation coverage in inland river basin is an important index to predict the change of future biodiversity, as well as a significant feedback of vegetation to global warming. Based on mean temperature, precipitation, sunshine hours, relative humidity, surface temperature and evaporation data, we analysis the correlation between vegetation coverage inversion and climatic factors, discuss the process of climatic factors with the changes of vegetation coverage, and investigate the response of vegetation coverage to climate change in the process of global warming in different spatial and temporal scales. The results show that:(1) the average vegetation coverage was low in Shiyang River Basin,the vegetation coverage in upper reaches was better than in downstream, was 59.4% and 13.6% respectively. The improved vegetation area is far greater than the degraded one and the vegetation coverage in oasis area increased obviously from 2000 to 2015. The overall trend of vegetation restoration was good but the vegetation in high altitude district and the surrounding area of Minqin oasis were degraded with different degree. (2) During 2000-2015, the relation between vegetation and the climatic factors of Shiyang River Basin were not significant. The area with positive correlation with precipitation and the area with negative correlation with evaporation were both the largest. The correlation between vegetation growth and heat gradually weakened at the same time the correlation between vegetation growth and water gradually strengthened. (3) There was a significant linear correlation between spline function and climatic factors of Shiyang River Basin. There is a higher response to climate factors in water conservation and desert area, a lower response in oasis area. The ground temperature is the crucial factor, which would result in the spatial and temporal patterns of vegetation coverage.

Cite this article

Li Lili , Wang Dawei , Han Tao . Spatial-temporal Dynamics of Vegetation Coverage and Responding to Climate Change in Shiyang River Basin during 2000-2015[J]. Journal of Desert Research, 2018 , 38(5) : 1108 -1118 . DOI: 10.7522/j.issn.1000-694X.2017.00061

References

[1] IPCC.Climate change:the physical science basis[R]//Solomon S,Qin D,Manning M,et al.Contribution of Working Group I to the Fourth Assessment Report of the Iintergovernmental Panel on Climate Change.Cambridge,England:Cambridge University Press,2007.
[2] IPCC.Climate Change 1991:Special Report on Renewable Energy Sources and Climate Change Mitigation[R].Cambridge:Cambridge University Press,1991:365-366.
[3] Climate change 2013:the physical science basis[M/OL].IPCC.http://www.ipcc.ch/report/ar5/wgl/#.Uq_tD7KBRRl.2013.
[4] Parmesan C,Yohe G.A globally coherent fingerprint of climate change impacts across natural systems[J].Nature,2003,421(6918):37-42.
[5] 范月君,侯向阳,石红霄,等.气候变暖对草地生态系统碳循环的影响[J].草业学报,2012,21(3):294-302.
[6] 朴世龙,方精云.1982-1999年我国陆地植被活动对气候变化响应的季节差异[J].地理学报,2003,58(1):119-125.
[7] 宋怡,马明国.基于SPOTVEGETATION数据的中国西北植被覆盖变化分析[J].中国沙漠,2007,27(1):89-93.
[8] Gitelson A A,Kaufman Y J,Stark R,et al.Novel algorithms for remote estimation of vegetation fraction[J].Remote Sensing of Environment,2002,80(1):76-87.
[9] Pan S F,Tian H Q,Shree R S D,et al.Complex spatiotemporal responses of global terrestrial primary production to climate change and increasing atmospheric CO2 in the 21st century[J].Plos One,2014,11(11):1-20.
[10] 车彦军,赵军,张明军,等.不同气候变化情景下2070-2099年中国潜在植被及其敏感性[J].生态学报,2016,36(10):2885-2895.
[11] 陈广生,田汉勤.土地利用/覆盖变化对陆地生态系统碳循环的影响[J].植物生态学报,2007,31(2):189-204.
[12] Xin Z B,Xu J X,Zheng W.Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981-2006):impacts of climate changes and human activities[J].Science in China Series D:Earth Sciences,2008,51(1):67-78.
[13] Roerink G J,Menenti M,Soepboer W,et al.Assessment of climate impact on vegetation dynamics by using remote sensing[J].Physics and Chemistry of the Earth,Parts A/B/C,2003,28(1):103-109.
[14] Myneni R B,Keeling C D,Tucker C J,et al.Increased plant growth in the northern high latitudes from 1981 to 1991[J].Nature,1997,386(6626):698-702.
[15] Weltzin J F,Loik M E,Schwinning S,et al.Assessing the response of terrestrial ecosystems to potential changes in precipitation[J].Bioscience,2003,53(10):941-952.
[16] Zhou L M,Tucker C J,Kaufmann R K,et al.Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999[J].Journal of Geophysical Research:Atmospheres (1984-2012) 2001,106(D17):20069-20083.
[17] Shree R S Dangal,Hanqin Tian,Chaoqun Lu,et al.Synergistic effects of climate change and grazing on net primary production of Mongolian grasslands[J].Ecosphere,2016,7(5):DOI:10.1002/ecs2.1274.
[18] Keeling C D,Chin J,Whorf T P.Increased activity of northern vegetation inferred from atmospheric CO2 measurements[J].Nature,1996,382(6587):146-149.
[19] 白淑英,吴奇,史建桥,等.基于时间序列遥感数据的西藏山南地区植被覆盖变化特征分析[J].中国沙漠,2015,35(5):1396-1402.
[20] Zhang J,Zhang Q,Yang L H,et al.Seasonal characters of regional vegetation activity in response to climate change in West China in recent 20 years[J].Journal of Geographical Sciences,2006,16(1):78-86.
[21] Zhou G Y.Principles and Applications of Water and Heat in Ecosystem[M].Beijing:China Meteorological Press,1997.
[22] 孙艳玲,郭鹏,延晓冬,等.内蒙古植被覆盖变化及其与气候,人类活动的关系[J].自然资源学报,2010,25(3):407-414.
[23] 陈燕丽,罗永明,莫伟华,等.MODIS NDVI与MODIS EVI对气候因子响应差异[J].自然资源学报,2014,29(10):1802-1812.
[24] 赵茂盛,符淙斌,延晓冬,等.应用遥感数据研究中国植被生态系统与气候的关系[J].地理学报,2001,56(3):287-296.
[25] Sun J,Cheng G W,Li W P,et al.On the variation of NDVI with the principal climatic elements in the Tibetan Plateau[J].Remote Sensing,2013,5(4):1894-1911.
[26] Myneni R B,Keeling C D,Tucker C J,et al.Increased plant growth in the northern high latitudes from 1981 to 1991[J].Nature,1997,386(6626):698-702.
[27] 陈亚宁,李稚,范煜婷,等.西北干旱区气候变化对水文水资源影响研究进展[J].地理学报,2014,69(9):1295-1304.
[28] 冯起,李宗礼,高前兆,等.石羊河流域民勤绿洲生态需水与生态建设[J].地球科学进展,2012,27(7):806-814.
[29] 孙杨,张雪芹,郑度.气候变暖对西北干旱区农业气候资源的影响[J].自然资源学报,2010,25(7):1153-1162.
[30] 姚玉璧,李耀辉,石界,等.基于GIS的石羊河流域干旱灾害风险评估与区划[J].干旱地区农业研究,2014,32(2):21-28.
[31] 周俊菊,雷莉,石培基,等.石羊河流域河川径流对气候与土地利用变化的响应[J].生态学报,2015,35(11):1-13.
[32] Xiao J,Aaron M.A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico,USA[J].Remote Sensing of Environment,2005,98:237-250.
[33] 祁永安,李吉均,张建明,等.石羊河流域生态功能区研究[J].兰州大学学报:自然科学版,2006,42(4):29-33.
[34] Gutman G,Ignatov A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote Sensing,1998,19(8):1533-1543.
[35] 周伟,刚成诚,李建龙,等.1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应[J].地理学报,2014,69(1):15-30.
[36] 穆少杰,李建龙,陈奕兆,等.2001-2010年内蒙古植被覆盖度时空变化特征[J].地理学报,2012,67(9):1255-1268.
[37] 李丽丽,赵成章,殷翠琴,等.GAM模型在蝗虫地理格局分布研究中的应用——以黑河上游3种天然草地蝗虫为例[J].中国沙漠,2013,33(4):1071-1077.
[38] 樊胜岳,马永欢,周立华.甘肃民勤绿洲近年来生态治理政策在农户中的响应[J].中国沙漠,2005,25(3):397-403.
[39] 李传华,赵军.基于GIS的民勤县生态环境脆弱性演化研究[J].中国沙漠,2013,33(1):302-307.
[40] 王根绪,程国栋,沈永平,等.土地覆盖变化对高山草甸土壤特性的影响[J].科学通报,2002,47(23):1771-1777.
[41] 孙丹峰,李红.民勤绿洲荒漠化遥感评价研究[J].中国沙漠,2002,18(6):176-181.
[42] 孟敏.民勤绿洲生态脆弱性评价与环境变化公众理解探讨[D].兰州:兰州大学,2011.
Outlines

/