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中国东北地区植被NDVI对气候变化的响应

王宗明1;国志兴2;宋开山1;罗玲1;张柏1;刘殿伟1;黄妮1;任春颖1   

  1. 1中国科学院东北地理与农业生态研究所, 长春 130012;2北京师范大学环境演变与自然灾害教育部重点实验室,北京 100875
  • 收稿日期:2008-09-10 修回日期:1900-01-01 出版日期:2009-06-10 发布日期:2009-06-10

Responses of vegetation NDVI in Northeast China to climate change.

WANG Zong-ming1;GUO Zhi-xing2;SONG Kai-shan1;LUO Ling1;ZHANG Bai1;LIU Dian-wei1;HUANG Ni1; REN Chun-ying1   

  1. 1Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China;2Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education of China, Beijing Normal University, Beijing 100875, China
  • Received:2008-09-10 Revised:1900-01-01 Online:2009-06-10 Published:2009-06-10

摘要: 结合1982—2003年GIMMS-NDVI数据集和GIS技术,应用基于像元的相关分析方法,分析了东北地区植被NDVI对气候变化的响应。结果表明:1)1982—2003年,东北地区年平均气温呈上升趋势,而年降水量呈下降趋势;东北地区植被NDVI与年平均气温呈显著正相关的像元占12.84%,主要分布在松嫩平原南部、三江平原中部和西辽河平原,植被类型为农田、阔叶林、草原。植被NDVI与年平均气温几乎不存在显著负相关性;植被NDVI与年降水呈显著和极显著正相关的像元比例为4.55%,主要植被类型为草原和农田;植被NDVI与年降水量呈显著负相关的像元比例为7.52%,主要植被类型为针叶林和阔叶林。2)东北地区植被与生长季气温显著正相关和显著负相关的比例分别为3.96%和4.35%;植被与生长季降水显著正相关和显著负相关的比例分别为8.81%和8.54%。3)东北地区58.21%的植被像元与春季气温显著或极显著正相关,主要分布在大兴安岭中部、小兴安岭、长白山及完达山-张广才岭等地区,主要植被类型为阔叶林、农田、针叶林和草甸;植被NDVI与春季气温几乎不存在显著负相关性。植被NDVI与春季降水呈显著正相关和显著负相关的比例分别为4.81%和1.67%。4)东北地区植被NDVI与夏季气温和降水呈显著相关的比例明显少于春季,与夏季气温正相关的比例为7.61%,与夏季降水显著负相关的比例为6.29%。秋季气温和降水对东北地区植被NDVI影响较小,其中植被NDVI与秋季气温显著正相关的像元占植被像元总数的6.05%,几乎不存在与秋季气温显著负相关的植被像元;植被NDVI与秋季降水显著负相关的比例为5.43%,几乎不存在与秋季降水显著正相关的植被像元。

关键词: 梭梭群落, 生境类型, 物种结构, 物种多样性, 生物量, 分布格局

Abstract: With the combination of 1982〖KG-*2〗-〖KG-*7〗2003 GIMMS-NDVI datase ts and GIS technology, and applying correlation analysis based on each pixel, th e responses of the vegetation NDVI in Northeast China to climate change were ana lyzed. In 1982〖KG-*2〗-〖KG-*7〗2003, the mean annual air temperature in study area had an increasing trend, while the annual precipitation was in adverse. The pixels whose NDVI had significant positive correlations with mean annual temper ature occupied 1284% of the total, mainly distributed in south Songnen Plain, central Sanjiang Plain, and west Liaohe Plain. Their vegetation types were cropl and, broadleaf forest, and steppe, and the NDVI had less negative correlation wi th mean annual air temperature. The pixels whose NDVI significantly positively c orrelated with annual precipitation occupied 455%, and their main vegetation t ypes were steppe and cropland. The pixels whose NDVI significantly negatively co rrelated with annual precipitation occupied 752%, and the main vegetation type s were coniferous forest and broadleaf forest. The vegetations significantly pos itively and negatively correlated with the air temperature in growth season occu pied 396% and 435% of the all, while those having significant positive and n egative correlations with the precipitation in growth season occupied 881% and 854%, respectively. There were 5821% pixels whose NDVI significantly correl ated with the air temperature in spring, mainly distributed in central Great Xin gan Mountains, Small Xingan Mountains, Changbai Mountains, and Wanda-Zhangguang cai Mountains. Their main vegetation types were broadleaf forest, cropland, coni ferous forest and meadow, and the NDVI had less negative correlation with the ai r temperature in spring. The pixels whose NDVI significantly positively and nega tively correlated with the precipitation in spring was 481% and 167%, while those whose NDVI having significant positive correlation with the air temperatur e in summer and negative correlation with the precipitation in summer were 716 % and 629%, respectively. The air temperature and precipitation in autumn had smaller effects on the vegetation NDVI. There were 605% of pixels whose NDVI s ignificantly positively correlated with the air temperature in autumn, and few h ad significant negative correlation with it. The proportion of the pixels whose NDVI significantly negatively correlated with the p recipitation in autumn was 543%, and hardly any pixels whose NDVI had signific ant positive correlation with autumn precipitation.

Key words: Haloxylon ammodendron community, Habitat type, Species structure, Species diversity, Biomass, Distribution pattern