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Abstract. Dams have proliferated along the Mekong, spurred by energy demands from economic development and capital from private companies. Swift dam evolution has rendered many databases outdated, in which mismatches arise from differing compilation methods. Without a comprehensive database, up-to-date spatial assessment of dam growth is unavailable. Looking at future development, hydropower potential specifically within the Mekong remains to be systematically evaluated. In this paper, we offer (1) an open-access and unified database of 1055 dams, (2) a spatiotemporal analysis of dams on a sub-basin and country level from the 1980s to the post-2020s, and (3) a grid-based assessment of the theoretical basin-wide hydropower potential using present-day discharge from the CaMa-Flood model (2011–2015, 0.05°) and future discharge from the WaterGAP2 model used for ISIMIP2b (2021–2040, 0.5°). The dam count of 1055 is more than twice the largest existing database, with 608 hydropower dams generating a boom in hydropower capacity from 1242 MW in the 1980s to 69 199 MW post-2020s. While China had the largest capacity increase from the 2000s to the 2010s (+16 854 MW), Laos has the most planned dams and the highest projected growth post-2020s (+18 223 MW). Based on present-day discharge, we estimate a basin-wide hydropower potential of 1 334 683 MW, where Laos is the highest at 514 887 MW. Based on future discharge modeled with climate change, hydropower potential could grow to over 2 000 000 MW. Laos and China are the highest at around 900 000 MW each, together forming over 80 % of the total potential. Our database facilitates research on dam-induced hydrological and ecological alterations, while spatiotemporal analysis of hydropower capacity could illuminate the complex transboundary electricity trade. Through both spatiotemporal and hydropower potential evaluation, we address the current and future vulnerability of countries to dam construction, highlighting the need for better planning and management in the future hydropower hotspot Laos. The Mekong dam database is publicly available at https://doi.org/10.21979/N9/ACZIJN (Ang et al., 2023). 

Oogenesis is a complex process regulated by precise coordination of multiple factors, including maternal genes. Zygote arrest 1 (zar1) has been identified as an ovary-specific maternal gene that is vital for oocyte-to-embryo transition and oogenesis in mouse and zebrafish. However, its function in other species remains to be elucidated. In the present study, zar1 was identified with conserved C-terminal zinc finger domains in Nile tilapia. zar1 was highly expressed in the ovary and specifically expressed in phase I and II oocytes. Disruption of zar1 led to the failed transition from oogonia to phase I oocytes, with somatic cell apoptosis. Down-regulation and failed polyadenylation of figla, gdf9, bmp15 and wee2 mRNAs were observed in the ovaries of zar1􀀀 /􀀀 fish. Cpeb1, a gene essential for polyadenylation that interacts with Zar1, was down-regulated in zar1􀀀 /􀀀 fish. Moreover, decreased levels of serum estrogen and increased levels of androgen were observed in zar1􀀀 /􀀀 fish. Taken together, zar1 seems to be essential for tilapia oogenesis by regulating polyadenylation and estrogen synthesis. Our study shows that Zar1 has different molecular functions during gonadal development by the similar signaling pathway in different species. 

Boreal lakes are the most abundant lakes on Earth. Changes in acid rain deposition, climate, and catchment land use have increased lateral fluxes of terrestrial dissolved organic matter (DOM), resulting in a widespread browning of boreal freshwaters. This browning affects the aqueous communities and ecosystem processes, and boost emissions of the greenhouse gases (GHG) CH 4 , CO 2 , and N 2 O. In this study, we predicted biotic saturation of GHGs in boreal lakes by using a set of chemical, hydrological, climate, and land use parameters. For this purpose, concentrations of GHGs and nutrients (organic C, -P, and -N) were determined in surface water samples from 73 lakes in south-eastern Norway covering wide ranges in DOM and nutrient concentrations, as well as catchment properties and land use. The spatial variation in saturation of each GHG is related to explanatory variables. Catchment characteristics (hydrological and climate parameters) such as lake size and summer precipitation, as well as NDVI, were key determinants when fitting GAM models for CH 4 and CO 2 saturation (explaining 71 and 54%, respectively), while summer precipitation and land use data were the best predictors for the N 2 O saturation, explaining almost 50% of deviance. Our results suggest that lake size, precipitation, and terrestrial primary production in the watershed control the saturation of GHG in boreal lakes. These predictions based on the 73-lake dataset was validated against an independent dataset from 46 lakes in the same region. Together, this provides an improved understanding of drivers and spatial variation in GHG saturation in boreal lakes across wide gradients of lake and catchment properties. The assessment highlights the need to incorporate multiple explanatory parameters in prediction models of GHGs for extrapolation across the boreal biome. 

Abstract. The aerosol–planetary boundary layer (PBL) interaction wasproposed as an important mechanism to stabilize the atmosphere andexacerbate surface air pollution. Despite the tremendous progress made inunderstanding this process, its magnitude and significance still have largeuncertainties and vary largely with aerosol distribution and meteorologicalconditions. In this study, we focus on the role of aerosol verticaldistribution in thermodynamic stability and PBL development by jointly usingmicropulse lidar, sun photometer, and radiosonde measurements taken inBeijing. Despite the complexity of aerosol vertical distributions,cloud-free aerosol structures can be largely classified into three types:well-mixed, decreasing with height, and inverse structures. The aerosol–PBLrelationship and diurnal cycles of the PBL height and PM2.5 associated with these different aerosol vertical structures showdistinct characteristics. The vertical distribution of aerosol radiativeforcing differs drastically among the three types, with strong heating in thelower, middle, and upper PBL, respectively. Such a discrepancy in the heatingrate affects the atmospheric buoyancy and stability differently in the threedistinct aerosol structures. Absorbing aerosols have a weaker effect ofstabilizing the lower atmosphere under the decreasing structure than underthe inverse structure. As a result, the aerosol–PBL interaction can bestrengthened by the inverse aerosol structure and can be potentiallyneutralized by the decreasing structure. Moreover, aerosols can both enhanceand suppress PBL stability, leading to both positive and negativefeedback loops. This study attempts to improve our understanding of theaerosol–PBL interaction, showing the importance of the observationalconstraint of aerosol vertical distribution for simulating this interactionand consequent feedbacks.