Intraguild predation by polyps of three scyphozoan jellyfish: Nemopilema nomurai,Aurelia coerulea,and Rhopilema esculentum

Journal of Oceanology and Limnology - Jellyfish blooms occur worldwide and have resulted in serious problems in tourism, fisheries, coastal industries, and the marine ecosystem. The life cycle of...     

Multivariate adaptive regression splines for estimating riverine constituent concentrations

Regression-based methods are commonly used for riverine constituent concentration/flux estimation, which is essential for guiding water quality protection practices and environmental decision making. This paper developed a multivariate adaptive regression splines model for estimating riverine constituent concentrations (MARS-EC). The process, interpretability and flexibility of the MARS-EC modelling approach, was demonstrated for total nitrogen in the Patuxent River, a major river input to Chesapeake Bay. Model accuracy and uncertainty of the MARS-EC approach was further analysed using nitrate plus nitrite datasets from eight tributary rivers to Chesapeake Bay. Results showed that the MARS-EC approach integrated the advantages of both parametric and nonparametric regression methods, and model accuracy was demonstrated to be superior to the traditionally used ESTIMATOR model. MARS-EC is flexible and allows consideration of auxiliary variables; the variables and interactions can be selected automatically. MARS-EC does not constrain concentration-predictor curves to be constant but rather is able to identify shifts in these curves from mathematical expressions and visual graphics. The MARS-EC approach provides an effective and complementary tool along with existing approaches for estimating riverine constituent concentrations.     

Assessment of Surface Ecological Quality of Grassland Mining Area and Identification of Its Impact Range

Natural Resources Research - High-intensity coal mining in grasslands has negative impact on the surface ecology of the mining area and its surroundings. This impact shows spatio-temporal...     

祁连山疏勒河源区冻土退化对土壤微生物生物量碳氮的影响

对青藏高原东北缘祁连山西段疏勒河源区多年冻土区0~50 cm土壤微生物生物量碳氮分布特征及其影响因素进行分析。结果表明:稳定型和极不稳定型多年冻土区0~50 cm土壤中微生物量碳含量范围分别为0.015~0.620 g/kg和0.019~0.411 g/kg,微生物量氮含量范围分别为0.644~12.770 mg/kg和0.207~3.725 mg/kg;土壤微生物量总体呈现出稳定型显著高于极不稳定型多年冻土,表明多年冻土退化（多年冻土由稳定型退化为极不稳定型）对土壤微生物量积累有明显抑制作用。土壤微生物生物量碳占有机碳、微生物生物量氮占全氮的比值在稳定型多年冻土中显著高于极不稳定型,表明多年冻土退化对土壤微生物的矿化能力有明显抑制作用。土壤微生物量及其与土壤养分的比值有显著的剖面变化特征,随土壤深度增加而减小。土壤微生物量碳氮均与土壤温度显著负相关,与地下生物量显著正相关。稳定型多年冻土中,土壤微生物量碳氮与碳氮比正相关、与氧化还原电位负相关;不稳定型多年冻土中,土壤微生物量碳氮与pH正相关。土壤微生物量碳氮与土壤温度和pH在剖面变化上显著相关。逐步回归分析表明驱动微生物生物量碳氮在不同多年冻土类型和土层之间变化的因子是不同的。     

文化消费者对黄梅戏展演空间感知的模式与价值寻求：方法−目的链理论的应用

以安庆黄梅戏会馆和再芬黄梅公馆为例,基于方法?目的链理论模型,解读文化消费者对黄梅戏展演空间属性的感知评价、层次处理和价值导向的转变。研究发现：不同层次的空间属性在文化消费者的感知与体验中实现着新的组合与重构,由此形成了基于舞台展演内容、文化呈现形式以及演出环境氛围为主体的3种空间感知模式。结合文化消费者感知的心理结构与路径,黄梅戏展演空间被消费者建构为娱乐空间、情感空间和社交空间,空间的多元化意义和价值得到彰显。方法?目的链理论从消费者的感知与需求出发,探索文化空间意义生成路径,实现了文化空间与消费者之间的双向信息交换。     

基于COSI-Corr技术的龙羊峡库区1987—2019年风沙输移特征及潜在入库量估算

风沙活动威胁着龙羊峡水库的安全运营,查清沙害来源和入库量对于防治水患和沙害具有重要意义。基于1987、1995、2003、2013、2019年的Landsat卫星影像,利用COSI-Corr技术监测了龙羊峡库区不同时空的沙丘移动特征,并重新评估库区近32 a的潜在风沙入库量。结果显示：（1）1987—2019年龙羊峡库区沙丘平均移动速率为5.81 m·a^-1,呈先加速（1987—2003年）后减速（2003—2013年）再加速（2013—2019年）趋势;沙丘移动方向在132.81°—165.82°范围内,与该区主风向一致。（2）近32 a向龙羊峡水库输送的潜在风沙量可达7.82×10⁷ m3（1.20×10⁸ t）。上风向塔拉滩潜在输送量为7.38×10⁷ m3（1.14×10⁸ t）,下风向木格滩仅贡献了0.44×10⁷ m3（0.68×10⁷ t）。（3）库区内风沙输移受风况、气候、植被等多种因素的影响,在未来全球变暖条件下,青藏高原的风沙活动将会持续发展,风沙入库量的长期累计效应将对水库安全构成严重威胁,必须引起足够重视。     

天然气水合物开采储层出砂研究进展与思考

天然气水合物开采井眼出砂问题是当前水合物产业化急需突破的瓶颈之一,解决水合物开采时防砂与产能平衡问题是实现水合物安全高效、长期可控开采的关键.我国海域典型水合物储层属于弱固结的低渗泥质粉砂储层,其面临的防砂控泥与增产矛盾较为突出.厘清不同水合物储层和开采条件下的井眼出砂规律并揭示其机理,进而制定科学合理的防砂控泥措施以实现产能最大化是解决上述矛盾的途径所在.从理论分析、数值模拟、室内实验和现场试采4个角度介绍了世界范围内已开展的水合物出砂防砂情况,分析总结了水合物储层出砂影响因素及出砂机理,最后探讨了目前出砂研究存在的问题和挑战,并给出了相应的建议,旨在为后续水合物开采井眼出砂预测和防控研究提供思路和参考.     

An enhanced underwater camera apparatus for seabed observation of megabenthic epifauna in the northern Yellow Sea

Journal of Oceanology and Limnology - Seabed photographing has been applied with various underwater camera apparatuses (UCAs) for observations of megabenthic epifauna, which reveals more details...     

Relationships Between Community Structure and Environmental Factors in Xixiakou Artificial Reef Area

The construction of artificial reefs has unparallelly developed for a few decades in China. Artificial reefs can be used to manage and conserve commercially exploited fish and crustacea. However, their suitability as ecological niche is poorly characterized. Therefore, in this study, we detected the seasonal variation of community biodiversity and the corresponding driving environmental factors. We also explored the relationships between dominant species and environmental factors to identify appropriate ecological niche areas. Different statistical analysis methods were used to assess species distribution within an artificial reef area in Xixiakou during nine sampling events in four seasons between 2017 and 2018. Non-metric multidimensional scaling(NMDS) and cluster analysis results indicated that the components of community can be divided into two clusters. Complexity of community, which is exhibited by species number, biodiversity, and catch per unit effort(CPUE), was significantly higher in summer than in other seasons. Generalized additive model(GAMs) results revealed the significant effects of temperature and chlorophyll a on the community structure. Sebastes schlegelii, Hexagrammos otakii, Conger myriaster and Charybdis japonica were the dominant species in four seasons. GAMs results indicated that temperature, dissolved oxygen(DO), pH and chlorophyll a affect the CPUE of dominant species significantly. The distinct suitable ecological niche for each dominant species was found in this study. For example, Charybdis japonica preferred to live in the area with 20.7–22.1℃, dissolved oxygen 7.07–7.15 mg L~(-1) and salinity 31.8–31.9. The results of this study are beneficial to resource conservation and fishery management.     

高亚洲及其邻区2003~2017年质量平衡的气候影响分析

利用重力恢复和气候实验(GRACE)数据获得高亚洲及其邻近地区的质量变化,可分析区域气候因素如印度季风、西风带和厄尔尼诺-南方涛动(ENSO)对结果的影响。然而,最近的研究发现,西风带的贡献小于厄尔尼诺,与传统研究结论不同。因此,利用2003-01~2017-06期间GRACE RL06的Mascon数据进行复经验正交函数（CEOF）分析。研究发现,前3个主要成分对研究区质量变化的贡献率分别为53%、27%和6%,与印度季风、西风带和ENSO指数的相关系数分别是0.92±0.16、0.70±0.15和0.42±0.15,说明在长达14 a的观测时间跨度内,印度季风、西风带和ENSO对研究区质量变化的贡献分别为53%、27%和6%,西风带是研究区质量变化的第2个影响因素,这支持了传统的研究结论;ENSO通过印度季风对某些区域（如帕米尔高原、喜马拉雅山脉和印度西北部）的质量变化产生影响;在印度西北部、喜马拉雅山脉和藏东南地区,由于印度季风的减弱及其相关的ENSO作用和西风带的加强,质量变化呈现下降趋势;在兴都库什、西昆仑和东昆仑地区,由于西风带的增强,质量变化呈上升的趋势;在帕米尔和天山地区,虽然受到较强西风带的影响,但由于同时受到印度季风和ENSO减弱以及气温上升趋势的影响,质量变化呈下降的趋势。