2006-2013年三江源草地产草量的时空动态变化及其对降水的响应

发布时间：2018-06-05 08:57

本文选题：三江源 + 产草量　；参考：《草业学报》2017年10期

【摘要】：三江源地区是我国重要的江河发源地,分析该地区多年草地产草量的时空动态变化,探讨产草量与降水量的关系,对于在未来气候变化情景下合理管理草地、指导畜牧业发展具有重要意义。利用2006-2013年MODISNDVI数据和同期442个地面采样数据,对3个草地类型分别建立NDVI与实测产草量之间的经验关系模型,并用这些模型推算2006-2013年三江源草地产草量的分布;同时,从三江源不同类型草地产草量与年降水量、不同月份降水量及不同降水累积时期的关系入手,探讨三江源地区草地生产力如何响应降水格局的变化。结果表明,从整个三江源地区来看:(1)2006-2013年产草量呈现增加的趋势,不同草地类型产草量对年降水量变化的响应程度不同。(2)对产草量影响最重要的降水月份是前一年10月,其次是当年4和5月。(3)驱动产草量年际变化最重要的累积降水时期是前一年的10月到当年5月。(4)前一年秋季和当年春季的累积降水量对第二年产草量有着至关重要的影响。
[Abstract]:The source region of the three rivers is an important source of rivers in China. The temporal and spatial dynamic changes of grassland yield in this area for many years are analyzed, and the relationship between grass yield and precipitation is discussed, and the reasonable management of grassland in the future climate change scenario is discussed. It is of great significance to guide the development of animal husbandry. Based on the MODISNDVI data from 2006 to 2013 and 442 ground sampling data from 2006 to 2013, the empirical relationship models between NDVI and measured grass yield were established for three grassland types, and the distribution of grassland yield in Sanjiangyuan grassland from 2006 to 2013 was calculated. Based on the relationship between the grass yield of different types of grassland in the source of three rivers and the annual precipitation, the precipitation in different months and the accumulative period of precipitation, the relationship between grassland productivity and the change of precipitation pattern in Sanjiangyuan area was discussed. The results showed that the grass yield of different grassland types showed an increasing trend from 2006 to 2013 in the whole Sanjiangyuan area. The most important precipitation month affecting the grass yield was October of the previous year, and the response degree of different grassland types to the annual precipitation variation was different. Secondly, the most important period of accumulated precipitation driving the interannual variation of grass yield is from October of the previous year to May of the same year.) the accumulated precipitation in autumn and spring of the year before the year has a vital influence on the yield of grass in the second year.
【作者单位】：中国科学院地理科学与资源研究所陆地表层格局与模拟重点实验室;中国科学院大学;
【基金】：青海省科技支撑计划项目(2015-SF-A4-1)资助
【分类号】：S812

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