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Effects of land cover conversion on soil bacterial communities in an alpine meadow on the Tibetan Plateau

ABSTRACT: Effects of land cover conversion on soil bacterial communities in an alpine meadow on the Tibetan Plateau

PROVIDER: PRJEB12742 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR1260480.fastq.gz	Fastqsanger.gz
	ERR1260480_1.fastq.gz	Fastqsanger.gz
	ERR1260480_2.fastq.gz	Fastqsanger.gz
	ERR1260490_1.fastq.gz	Fastqsanger.gz
	ERR1260490_2.fastq.gz	Fastqsanger.gz

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Project description:Land cover change has long been recognized that marked effect the amount of soil organic carbon. However, little is known about microbial-mediated effect processes and mechanism on soil organic carbon. In this study, the soil samples in a degenerated succession from alpine meadow to alpine steppe meadow in Qinghai-Tibetan Plateau degenerated, were analyzed by using GeoChip functional gene arrays.

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Effects of land cover conversion on soil bacterial communities in an alpine meadow on the Tibetan Plateau

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Project description:Estimation of evapotranspiration (ET) for alpine meadow areas in the Tibetan Plateau (TP) is essential for water resource management. However, observation data has been limited due to the extreme climates and complex terrain of this region. To address these issues, four representative methods, Penman-Monteith (PM), Priestley-Taylor (PT), Hargreaves-Samani (HS), and Mahringer (MG) methods, were adopted to estimate ET, which were then compared with ET measured using Eddy Covariance (EC) for five alpine meadow sites during the growing seasons from 2010 to 2014. And each site was measured for one growing season during this period. The results demonstrate that the PT method outperformed at all sites with a coefficient of determination (R2) ranging from 0.76 to 0.94 and root mean square error (RMSE) ranging from 0.41 to 0.62 mm d-1. The PM method showed better performance than HS and MG methods, and the HS method produced relatively acceptable results with higher R2 (0.46) and lower RMSE (0.89 mm d-1) compared to MG method with R2 of 0.16 and RMSE of 1.62 mm d-1, while MG underestimated ET at all alpine meadow sites. Therefore, the PT method, being the simpler approach and less data dependent, is recommended to estimate ET for alpine meadow areas in the Tibetan Plateau. The PM method produced reliable results when available data were sufficient, and the HS method proved to be a complementary method when variables were insufficient. On the contrary, the MG method always underestimated ET and is, thus, not suitable for alpine meadows. These results provide a basis for estimating ET on the Tibetan Plateau for annual data collection, analysis, and future studies.

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