Correlation assessment of NDVI and land use dynamics with water resources for the southern margin of Mu Us Sandy Land, China.

To prevent desertification, countries worldwide have made diversified efforts, and vegetation restoration has been demonstrated to be an effective approach. However, in regard to sandy land with limited water resources, measures such as revegetation may lead to an increased drought risk. Despite confirmed sand utilization achievements, many controversies remain regarding the advantages of desert greening, especially considering water scarcity.

Research on intelligent prediction and zonation of basin-scale flood risk based on LSTM method.

Global climate change and human activities aggravate the frequency of flood disasters. Flood risk includes natural flood risk and risk of economic and social disasters, which is displayed intuitively by flood risk zonation maps. In this paper, we take the disaster-causing factors, the disaster environment, the disaster-bearing body, and the disaster prevention and mitigation capability into consideration comprehensively.

A multi-time-scale power prediction model of hydropower station considering multiple uncertainties.

Hydropower, as one of renewable energies, has been widely used all over the world. The uncertainties such as reservoir inflows and electricity price cause random changes in the output power and the hydropower generation benefit. Thus, it is important to research on the power prediction of hydropower station considering the uncertainties.

Transcriptome changes in rice (Oryza sativa L.) in response to high night temperature stress at the early milky stage.

Background: Rice yield and quality are adversely affected by high temperatures, especially at night; high nighttime temperatures are more harmful to grain weight than high daytime temperatures. Unfortunately, global temperatures are consistently increasing at an alarming rate and the minimum nighttime temperature has increased three times as much as the corresponding maximum daytime temperature over the past few decades.

Results: We analyzed the transcriptome profiles for rice grain from heat-tolerant and -sensitive lines in response to high night temperatures at the early milky stage using the Illumina Sequencing method.

Comparative proteomic analysis of differentially expressed proteins in the early milky stage of rice grains during high temperature stress.

Rice yield and quality are adversely affected by high temperatures, and these effects are more pronounced at the 'milky stage' of the rice grain ripening phase. Identifying the functional proteins involved in the response of rice to high temperature stress may provide the basis for improving heat tolerance in rice. In the present study, a comparative proteomic analysis of paired, genetically similar heat-tolerant and heat-sensitive rice lines was conducted.

Identification of candidate genes related to rice grain weight under high-temperature stress.

The rise of global warming presents a problem for all living organisms, including rice and other staple plants. High temperatures impair rice grain weight by inhibiting the filling of the caryopses during the milky stage. The molecular mechanism behind this process, however, is poorly understood.