倒立水母Cassiopea andromeda 的POU、Hox基因家族的多样性及系统发育分析

与其他钵水母相比,倒立水母具有独特行为：在生命周期的大部分时间里,它都在海底呈倒立附着、“睡眠”的状态。为探索与这一独特行为相关的遗传信息,本研究对安朵仙水母(Cassiopea andromeda)和同属于钵水母纲的海蜇(Rhopilema esculentum)、巴布亚硝水母(Mastigias papua)进行首次全基因组测序、拼接和注释,并重点分析了这3种钵水母与感觉功能、神经系统发育相关的重要转录调节因子Hox和POU基因家族的多样性与系统发育关系。遗传分析显示,刺胞动物门中Hox和POU基因家族具有明显的物种间差异性。对Hox基因的分析首次发现钵水母及水螅(Hydra vulgaris)的“前段Hox基因”产生了部分缺失,并进一步印证了刺胞动物不存在“中段Hox基因”的假说。安朵仙水母和海蜇具有相对全面的ParaHox基因种类,即GSX和XLOX/CDX基因,而巴布亚硝水母只有GSX基因。在POU基因多样性方面,安朵仙水母、海蜇、星状海葵(Nematostella vectensis)的基因组具有全部4类POU,而巴布亚硝水母、海月水母(Aurelia aurita)、水螅只有2类POU。在本研究分析的刺胞动物中,安朵仙水母的POU-1,-6亚型的核苷酸多态性最高;安朵仙水母与指形鹿角珊瑚(Acropora digitifera)、星状海葵的POU-2/3/5亚型的序列多样性较其他钵水母更高。另外,3种钵水母与水螅粘附蛋白的比较结果表明,安朵仙水母具有巴布亚硝水母和海蜇所不具有的粘附相关鼠李糖结合凝集素和一类抗氧化活性物质铁螯合物还原酶。综上所述,安朵仙水母具有更多POU编码基因和复杂POU亚型,以及具有粘附相关凝集素和还原酶的编码基因,可能是与安朵仙水母倒立附着生活方式相关的关键遗传信息。     

用辐射传输方程改进算法反演LandSAT8海表温度的效果检验和适用条件分析

为检验辐射传输方程改进算法推广用于反演LandSAT8 海表温度(SST)的可行性及适用条件,本研究在修订算法部分参数的基础上,分别反演出算法改进前后的LandSAT8 SST并进行比较。MODIS SST验证表明改进算法对大气透过率偏差和SST偏差均有明显改善,除2019-08-21图像外,其他3景图像SST偏差在0.5℃左右;浮标SST验证表明改进算法在近岸海域对SST偏差改善效果同样显著,其平均偏差bias和均方根误差rmse分别减少到0.14、0.18℃,基本可以忽略不计;进一步研究发现,改进算法SST反演精度与研究海域大气透过率分布均匀程度呈显著的正相关关系,R²[bias(SST)]=0.920 7,R²[rmse(SST)]=0.934 0。使用改进算法遥感监测电厂温排水：嵩屿电厂表层海水温升羽流不明显;而后石电厂表层温升现象最显著,温升幅度和扩散影响范围最大,在其排水口附近存在稳定的高温水体(温升＞3℃);晋江电厂表层温升羽流呈扇形分布,流轴短,主要集中在排水口附近。     

Meltwater discharge during the Holocene from the Wilkes subglacial basin revealed by beryllium isotope analysis of marine sediments

Understanding Antarctic Ice Sheet dynamics related to global climate change is of scientific and societal interest as the future behaviour of the ice sheet under the currently changing climate is unknown. We present beryllium‐10 (¹⁰Be) analysis of a high‐resolution marine sediment core from the Adélie Basin near the eastern Wilkes Land margin, which is susceptible to marine ice sheet instability due to the low‐lying nature and down‐sloping trough of the Wilkes Subglacial Basin. Combined with a newly constructed age model using compound specific radiocarbon dates, the data reveal three events associated with high meteoric ¹⁰Be at ca. ~10 ka, ca. ~6.5 ka and from ca. ~4 ka. We interpret these high meteoric ¹⁰Be events to be derived from the deposition of ¹⁰Be released from the ice sheet during meltwater discharge. In particular, the shift to higher meteoric ¹⁰Be concentration at~4 ka may correspond to changes in climate patterns at this time. Copyright © 2019 John Wiley & Sons, Ltd.     

Intercomparison of measurements of bulk snow density and water equivalent of snow cover with snow core samplers: Instrumental bias and variability induced by observers

Manually collected snow data are often considered as ground truth for many applications such as climatological or hydrological studies. However, there are many sources of uncertainty that are not quantified in detail. For the determination of water equivalent of snow cover (SWE), different snow core samplers and scales are used, but they are all based on the same measurement principle. We conducted two field campaigns with 9 samplers commonly used in observational measurements and research in Europe and northern America to better quantify uncertainties when measuring depth, density and SWE with core samplers. During the first campaign, as a first approach to distinguish snow variability measured at the plot and at the point scale, repeated measurements were taken along two 20 m long snow pits. The results revealed a much higher variability of SWE at the plot scale (resulting from both natural variability and instrumental bias) compared to repeated measurements at the same spot (resulting mostly from error induced by observers or very small scale variability of snow depth). The exceptionally homogeneous snowpack found in the second campaign permitted to almost neglect the natural variability of the snowpack properties and focus on the separation between instrumental bias and error induced by observers. Reported uncertainties refer to a shallow, homogeneous tundra-taiga snowpack less than 1 m deep (loose, mostly recrystallised snow and no wind impact). Under such measurement conditions, the uncertainty in bulk snow density estimation is about 5% for an individual instrument and is close to 10% among different instruments. Results confirmed that instrumental bias exceeded both the natural variability and the error induced by observers, even in the case when observers were not familiar with a given snow core sampler.     

The impacts of mountain pine beetle disturbance on the energy balance of snow during the melt period

Mountain snowpacks provide most of the annual discharge of western US rivers, but the future of water resources in the western USA is tenuous, as climatic changes have resulted in earlier spring melts that have exacerbated summer droughts. Compounding changes to the physical environment are biotic disturbances including that of the mountain pine beetle (MPB), which has decimated millions of acres of western North American forests. At the watershed scale, MPB disturbance increases the peak hydrograph, and at the stand scale, the ‘grey’ phase of MPB canopy disturbance decreases canopy snow interception, increases snow albedo, increases net shortwave radiation, and decreases net longwave radiation versus the ‘red’ phase. Fewer studies have been conducted on the red phase of MPB disturbance and in the mixed coniferous stands that may follow MPB‐damaged forests. We measured the energy balance of four snowpacks representing different stages of MPB damage, management, and recovery: a lodgepole pine stand, an MPB‐infested stand in the red phase, a mixed coniferous stand (representing one successional trajectory), and a clear‐cut (representing reactive management) in the Tenderfoot Creek Experimental Forest in Montana, USA. Net longwave radiation was lower in the MPB‐infested stand despite higher basal area and plant area index of the other forests, suggesting that the desiccated needles serve as a less effective thermal buffer against longwave radiative losses. Eddy covariance observations of sensible and latent heat flux indicate that they are of similar but opposite magnitude, on the order of 20 MJ m^?2 during the melt period. Further analyses reveal that net turbulent energy fluxes were near zero because of the temperature and atmospheric vapour pressure encountered during the melt period. Future research should place snow science in the context of forest succession and management and address important uncertainties regarding the timing and magnitude of needlefall events. Copyright © 2015 John Wiley & Sons, Ltd.     

Understanding the hydrological system dynamics of a glaciated alpine catchment in the Himalayan region using the J2000 hydrological model

This paper provides the results of hydrological modelling in a mesoscale glaciated alpine catchment of the Himalayan region. In the context of global climate change, the hydrological regime of an alpine mountain is likely to be affected, which might produce serious implications for downstream water availability. The main objective of this study was to understand the hydrological system dynamics of a glaciated catchment, the Dudh Kosi River basin, in Nepal, using the J2000 hydrological model and thereby understand how the rise in air temperature will affect the hydrological processes. The model is able to reproduce the overall hydrological dynamics quite well with an efficiency result of Nash–Sutcliffe (0.85), logarithm Nash–Sutcliffe (0.93) and coefficient of determination (0.85) for the study period. The average contribution from glacier areas to total streamflow is estimated to be 17%, and snowmelt (other than from glacier areas) accounts for another 17%. This indicates the significance of the snow and glacier runoff in the Himalayan region. The hypothetical rise in temperature scenarios at a rate of +2 and +4 °C indicated that the snowmelt process might be largely affected. An increase in snowmelt volume is noted during the premonsoon period, whereas the contribution during the monsoon season is significantly decreased. This occurs mainly because the rise in temperature will shift the snowline up to areas of higher altitude and thereby reduce the snow storage capacity of the basin. This indicates that the region is particularly vulnerable to global climate change and the associated risk of decreasing water availability to downstream areas. Under the assumed warming scenarios, it is likely that in the future, the river might shift from a ‘melt‐dominated river’ to a ‘rain‐dominated river’. The J2000 model should be considered a promising tool to better understand the hydrological dynamics in alpine mountain catchments of the Himalayan region. This understanding will be quite useful for further analysis of ‘what‐if scenarios’ in the context of global climate and land‐use changes and ultimately for sustainable Integrated Water Resources Management in the Himalayan region. Copyright © 2012 John Wiley & Sons, Ltd.     

The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains,Northwest China

Seasonal snow cover in mountainous regions will affect local climate and hydrology. In this study, we assessed the role of altitude in determining the relative importance of temperature and precipitation in snow cover variability in the Central Tianshan Mountains. The results show that: (a) in the study area, temperature has a greater influence on snow cover than precipitation during most of the time period studied and in most altitudes. (b) In the high elevation area, there is a threshold altitude of 3,900 ± 400 m, below which temperature is negatively correlated whereas precipitation is positively correlated to snow cover, and above which the situation is the opposite. Besides, this threshold altitude decreases from snow accumulated period to snow stable period and then increases from snowmelt period to snow‐free period. (c) Below 2,000 m, there is another threshold altitude of 1,400 ± 100 m during the snow stable period, below (above) which precipitation (temperature) is the main driver of snow cover.     

2022冬奥会背景下北京区域居民参与冰雪运动消费调查

运用文献资料、问卷调查和数理统计、应用因子分析方法,结合北京区域滑雪场空间分布情况,对比居民冰雪运动参与倾向和频率,发现北京区域居民参与冰雪运动及消费的主要影响因素为性别、年龄、距离、收入水平和政策红利;分析得出雪场密度和区域经济水平、性别等对参与冰雪运动消费特征的影响。归纳4个主要影响北京区域居民参与冰雪运动的公共因子,分别是冰雪运动基础因子、冰雪运动信息因子、冰雪运动距离因子以及冰雪运动友谊因子。提出不断提升冰雪运动产品服务质量,出台鼓励性冰雪运动消费政策,完善冰雪运动消费环境,创新冰雪运动消费内容,逐步扩大冰雪消费规模等建议。