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题名 2000-2013年西昆仑山植被对气候变化的响应及其时空差异研究
姓名 贾蕾
院系 资源环境学院
专业 生物地理学
学位名称 理学硕士
外文题名 Vegetation response to climate change and its Spatial-temporal differences in WestKunlun Mountains from 2000 to 2013
第一导师姓名 曾彪
关键词 西昆仑山;气候变化;NDVI;时空差异;植被类型
外文关键词 West Kunlun Mountains;climate change;NDVI;spatial and temporal differences;vegetation types
学科 理学
摘要 气候变化给地球生态系统带来的变化是巨大的,而植被作为生态系统中最敏感与最脆弱的一环,对气候变化的响应机制为很多科研学者所关注。西昆仑山地区位于我国最西端、青藏高原西北部,属于典型的高寒干旱地区,生态脆弱,植被受气候影响程度高,其处于青藏高原与西北干旱区的过渡地带,由于海拔高、气候干燥的特点使得植被区系有别于周边地区,目前关于西昆仑山地区气候变化下植被生长状况的研究较少,西昆仑地区植被近年来如何变化,植被生长对气候变化如何响应,西昆仑的植被变化及对气候的响应特征与周边地区是否存在差异,等等问题仍待进一步的研究。 本文利用TERRA卫星MODIS-NDVI数据,结合该地区DEM数字高程模型、TM影像及气温和降水量数据,依据一元线性回归模型、相关分析原理,研究了2000-2013年共14年间西昆仑山植被整体及不同植被类型的年NDVI最大值的时空分布特征和变化趋势及其与气候因子(气温和降水量)、地形要素(海拔、坡向、坡度)的关系,探讨了在当前气候变化的背景下,西昆仑山地区植被变化对气候变化的响应机制及与地形因素的关系,为青藏高寒区生态保护及植被恢复提供了参考价值和借鉴意义。
外文摘要 Global warming has become the undisputed facts, while since the last century, climate change is becoming the focus of governments, scientists and public concern, and focusing on the science of climate change has become one of the topics the active participation of domestic and foreign scholars. Climate change on Earth's ecosystems change is enormous, and vegetation as the most sensitive ecosystems and the most vulnerable part responded to climate change mechanism, which attracted a lot of research scholars’ attention. West Kunlun Mountains located in China's westernmost region, northwestern Qinghai-Tibet Plateau, which is a typical alpine arid area, ecologically fragile vegetation by high climate impact. There is less vegetation growth conditions on the western Kunlun Mountains region under climate change research. So pending further study is that West Kunlun Mountains how to change in vegetation region in recent years, and vegetation growth how to respond to climate change.Meanwhile vegetation changes in West Kunlun Mountains and the surrounding areas whether they are differences, and so on. In this paper, data are TERRA satellite MODIS-NDVI data, which combined with the region's digital elevation model DEM, vegetation type and temperature and precipitation data. Based on a linear regression, correlation analysis Theory, we researched 2000-2013, a total of 14 years, that the overall vegetation time and space in the growing season NDVI maximum and average distribution and trends of different vegetation types and its relationship with climatic factors (temperature and precipitation), topographic features (altitude, slope aspect, slope) in West Kunlun Mountains. Then we explored that the relationship between changes in vegetation and terrain factors and their response to climate change under the currently background of climate change in West Kunlun Mountains area. It is help to ecological protection and vegetation in Tibet alpine area which provides a reference value and reference recovery.
研究领域 气候变化与植被遥感
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