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Learn QTP started in Nov 2006 on blogger CMS as a one-stop shop for those wanting to learn about HP Quick Test Professional. In a couple of months, the blog saw tremendous growth in its readership and responses.To handle the increasing volume of testing-related questions on the blog, a separate QTP forums was launched in Jan 2008. This forum has a managed environment for QTP users/experts to interact and learn, and is successfully running with 6100+ members, 6900+ threads, 23400+ posts at present.Learn QTP covers topics such as QTP tutorials for scripting, concepts of object repository, descriptive programming, interview questions, regular expressions, QTP automation object model,XML etc that address the needs of beginners as well as advanced users of QTP.If you are a beginner, refer this step by step guide to learn QTP and refer What is QTP?.If you are looking to optimize your QTP scripts, refer how to optimize QTP scriptsAbout Me: I work with and write about automation testing tools, and I am a Mercury (now HP) certified Quick Test Pro specialist. I have worked on several QTP projects to perform large-scale regression tests, health checks in ERP applications and automated data load in implementation projects, using various technologies like Visual Basic, Active X, Java, Siebel, Mainframes and Oracle. When not working on testing, I can be found online playing chess or researching cool new technologies.If you’ve read this much, you should follow me on twitter @ajonit or connect with me on Facebook by liking LearnQTP’s Facebook page.In case you’re looking to get trained on QTP, check my renowned QTP training course available 24*7 online.If you want to keep track of further articles on QTP, I recommend you to subscribe via RSS Feed or twitter account of @LearnQTP . You can also subscribe by Email and have new QTP articles sent directly to your inbox. Please do leave your comments/suggestions!

Highlights•Lakes and vegetation are important components of terrestrial hydrosphere in the Qinghai-Tibetan Plateau.•The lake areas of QTP increased significantly during the past 30 years and the rates have been sped up since 2000.•Overall, the NDVI increased in the QTP during the past 30 years.•The shifts in the temporal climate trend occurred around 2000 had led the lake area and vegetation coverage increasing.AbstractLakes and vegetation are important factors of the Earth's hydrological cycle and can be called an “indicator” of climate change. In this study, long-term changes of lakes' area and vegetation coverage in the Qinghai-Tibetan Plateau (QTP) and their relations to the climate change were analyzed by using Mann-Kendall method during the past 30years. Results showed that: 1) the lakes' area of the QTP increased significantly during the past 30 years as a whole, and the increasing rates have been dramatically sped up since the year of 2000. Among them, the area of Ayakekumu Lake has the fastest growing rate of 51.35%, which increased from 618 km2 in the 1980s to 983 km2 in the 2010s; 2) overall, the Normalized Difference Vegetation Index (NDVI) increased in the QTP during the past 30years. Above 79% of the area in the QTP showed increasing trend of NDVI before the year of 2000; 3) the air temperature increased significantly, the precipitation increased slightly, and the pan evaporation decreased significantly during the past 30 years. The lake area and vegetation coverage changes might be related to the climate change. The shifts in the temporal climate trend occurred around the year 2000 had led the lake area and vegetation coverage increasing. This study is of importance in further understanding the environmental changes under global warming over the QTP.Graphical abstractIntroductionThe Qinghai-Tibetan Plateau (QTP), with an average elevation of more than 4000 m, is the highest and largest highland in the world (Ijmker et al., 2012; You et al., 2008). The area is about 2.5 million km2. The plateau is known as the “roof of the world” and “the third pole” (Ijmker et al., 2012). The dense distribution of lakes is a major feature of the QTP, and the total lake area accounts for about half of the China's total lake area (Zhu et al., 2010). Lakes are an important component of terrestrial hydrosphere, exchanging heat and water with the atmosphere (Xu et al., 2007). The QTP is also the headwater area for many large Asiatic rivers, such as Yangtze River, Yellow River, Mekong River, Yarlung Zangbo River, Indus River. As lakes in the QTP are rarely influenced by human activities due to the unique geographic location, therefore, they are extremely sensitive to climatic fluctuations and can be called an “indicator” of climate change, and the lakes

Which affected the area of lakes is still lacking. Zhu et al. (2010) analyzed the lake area and water changes quantitatively in the past 34 years and their results indicated that the glacier melt caused by climate warming was the main reason which caused the rapid expansion of Nam Co Lake. Lei et al. (2013) reported that increased precipitation and runoff, and decreased lake evaporation were the main causes for the coherent lake growth and could contribute by about 70% of total increase in lake storage over the central QTP.Therefore, a review of previous studies of the impacts of climate change on the lake areas over the QTP revealed that most of these studies ignored the response of lake areas and vegetation coverage changes to the climate change in the QTP, which is an important research gap. The research questions to be investigated in this study include: (1) Has the lakes' area increased in the QTP during the past 30 years? (2) Has the vegetation coverage restored in the QTP during the past 30 years? (3) Does the climate change affect the lakes' area and vegetation coverage over QTP during the past 30 years? This study is of importance in further understanding the environmental changes under global warming over the QTP.Section snippetsStudy areaQinghai-Tibetan Plateau (QTP) is located in the southwest of China with the territory area about 2.4 million km2 (You et al., 2008). The climate in the plateau is marked by low temperature and strong solar radiation (Piao et al., 2011). The QTP lake region has the largest number of lakes in China. There are 1055 lakes, accounting for 39.2% of the total number of lakes in China (Piao et al., 2011; Xiao et al., 2013). In this study, a total of 51 lakes in the QTP were analyzed, of which 44 areThe temporal and spatial variation of lake area in the QTPFig. 2 showed that there were 30 lakes have shown area decrease and 21 lakes with area increase during the period of 1981–2000 by using Mann-Kendal method. There were 8 lakes have shown significant area decrease during this period, while there were 3 lakes with significant area increase at 5% significance level. As for the period of 1980–2013, most of the lake areas have increased and 32 lakes' areas have increased significantly. However, there were only 6 lakes' areas decreased during thisConclusionsIn this study, the long-term variations of lake areas, vegetation coverage and associated climate changes in the QTP were analyzed by using MK method with the aim of exploring the climate transformation during the past 30 years. Main conclusions drawn from the study are summarized as follows:(1)Overall, the lake areas increased significantly during the past 30