1982–2010年中国草地覆盖度变化及其与水热因子耦合性研究(英文)

编号 zgly0001585000

文献类型 期刊论文

文献题名 1982–2010年中国草地覆盖度变化及其与水热因子耦合性研究(英文)

作者 周伟  刚成诚  陈奕兆  穆少杰  孙政国  李建龙 

作者单位 SchoolofLifeScience  NanjingUniversity  CollegeofAnimalSciences  NanjingAgriculturalUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2014年04期

年份 2014 

分类号 S812  P461.7 

关键词 grasscoverage  climatefactors  spatial-temporaldynamic  correlation  timelageffect 

文摘内容 GIMMS(Global Inventory Modeling and Mapping Studies) NDVI(Normalised Difference Vegetation Index) from 1982 to 2006 and MODIS(Moderate Resolution Imaging Spectroradiometer) NDVI from 2001 to 2010 were blended to extract the grass coverage and analyze its spatial pattern. The response of grass coverage to climatic variations at annual and monthly time scales was analyzed. Grass coverage distribution had increased from northwest to southeast across China. During 1982–2010, the mean nationwide grass coverage was 34% but exhibited apparent spatial heterogeneity, being the highest(61.4%) in slope grasslands and the lowest(17.1%) in desert grasslands. There was a slight increase of the grass coverage with a rate of 0.17% per year. Increase in slope grasslands coverage was as high as 0.27% per year, while in the plain grasslands and meadows the grass coverage increase was the lowest(being 0.11% per year and 0.1% per year, respectively). Across China, the grass coverage with extremely significant increase(P<0.01) and significant increase(P<0.05) accounted for 46.03% and 11% of the total grassland area, respectively, while those with extremely significant and significant decrease accounted for only 4.1% and 3.24%, respectively. At the annual time scale, there are no significant correlations between grass coverage and annual mean temperature and precipitation. However, the grass coverage was somewhat affected by temperature in alpine and sub-alpine grassland, alpine and sub-alpine meadow, slope grassland and meadow, while grass coverage in desert grassland and plain grassland was more affected by precipitation. At the monthly time-scale, there are significant correlations between grass coverage with both temperature and precipitation, indicating that the grass coverage is more affected by seasonal fluctuations of hydrothermal conditions. Additionally, there is one-month time lag-effect between grass coverage and climate factors for each grassland types.