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11.
为了分析雅浦海沟中底栖生物群落的食物来源和营养级,本研究分析了雅浦海沟真光层中浮游植物和浮游动物、海底沉积物和巨型底栖生物(海绵、海参、海蛇尾、海星、海葵和钩虾)中的碳、氮稳定同位素组成。研究发现雅浦海沟真光层中的浮游植物和浮游动物δ13C值[(-22.8±0.4)‰和(-21.8±0.8)‰]和δ15N值[(5.4±0.4)‰和(6.8±0.2)‰]与巨型底栖生物的δ13C值(-20.1‰~-16.8‰)和δ15N值(11.9‰~17.9‰)的差异超过了一个营养级,表明作为底栖生物的初始食物来源的浮游植物和浮游动物在向下输送的过程中经历了食物链传递和细菌的降解。巨型底栖生物的δ15N和δ13C值之间无显著的相关性,此外不同物种之间营养级也存在明显差异,表现为海绵的营养级相对较高(3.4~4.7),海参(3.3~3.6)、海蛇尾(3.4~3.5)和海星(3.2~3.7)的营养级较为接近,钩虾(2.9~3.3)和海葵(3.1)的营养级则相对略低,反映了底栖生物不同物种之间食物来源的多样化。 相似文献
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锆石的U-Pb测年、Hf和O同位素及稀土、微量元素的研究与应用已获得诸多进展,但锆石中铀含量所蕴藏的地质意义却较少被关注。华南花岗岩型铀矿床的铀源一直存在争议,不同观点认为其分别来自早期已固结地质体、分异岩浆、地幔柱或热点以及U、Th、K富集圈。为尝试利用锆石中的铀含量来追索铀源,本文通过搜集诸广山南体花岗岩锆石U-Pb同位素测年文献,掌握了该花岗岩中14个岩体、37件样品、3种岩性,共467个锆石定年数据。通过数据分析发现印支期(253Ma、244Ma)和燕山期(139Ma、124Ma)具高分异特征的4件酸性岩脉(小岩体)样品中锆石的铀含量明显高于同期岩体。依据铀矿床中高分异酸性岩脉(小岩体)侵位期、基性岩脉侵位期、铀成矿早期(140~90Ma)三者的良好对应关系,结合这一锆石铀含量指示,初步认为华南花岗岩型铀矿床中铀可能主要来自高分异花岗岩浆;推测花岗岩型铀成矿可能属壳幔混合作用结果,即铀源来自地壳分异岩浆,成矿流体和矿化剂主要来自地幔,而成矿空间受断裂系统控制。岩体锆石铀含量或可在铀源丰度、矿床品位判别等方面发挥积极作用。 相似文献
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基于拓扑网络研究海州湾食物网结构与复杂性 总被引:1,自引:0,他引:1
针对食物网结构与复杂性的研究有助于深入解析食物网的功能、营养动力和能量转化过程。本文根据2011年3?12月在海州湾及其邻近海域进行的5个航次的渔业资源底拖网调查资料以及胃含物分析数据,基于11个拓扑网络指数,构建了海州湾拓扑网络,研究海州湾食物网的结构与复杂性。结果表明,本文分析的海州湾食物网物种数S为93,连接数L为1 021,每个物种的相互作用数量L/S为10.98,连接性L/S2为0.12;顶级物种、中间物种、基础物种的比例分别为29%、69%和2%;食物网的杂食性指数为87%,连接复杂性指数SC为22.20,特征路径长度ChPath为2.11,聚类系数CC为0.23。通过每个物种的相互作用数量和连接性的研究显示,L/S和L/S2的值都处在正常范围内,所以海州湾食物网的复杂性仍保持较高水平。通过物种比例、杂食性指数、连接复杂性指数、特征路径长度、聚类系数对食物网结构分析,发现海州湾食物网结构处于稳定状态,能够在一定程度上抵御外界环境的扰动,保证生态系统功能的正常运行。通过对海州湾食物网结构与复杂性的研究,将为今后海州湾食物网功能的深入研究以及海州湾渔业资源的科学管理提供重要依据。 相似文献
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基于热探针法原理,测试了在杭州湾以东陆架区取得的28个海底表层柱状样0.2、1.0和1.8 m处的导热系数,结合激光粒度分析结果,比较了研究区6种土导热系数的大小,发现含砂量大于10%的粗粒土拥有较大的导热系数。土质类型相同时,含水量和干密度对其导热系数影响显著。杭州湾沉积区、混合沉积区,陆架砂质沉积区表层土导热系数的平均值分别是:1.25、1.45 和1.46 W·m-1·K-1,呈现出由近岸向外海增大的趋势。而土样导热系数在垂向的变化表明:水深、埋深等空间分布因素对海洋土的热物性没有直接影响。 相似文献
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There have been significant recent advances in understanding the ecohydrology of deep soil. However, the links between root development and water usage in the deep critical zone remains poorly understood. To clarify the interaction between water use and root development in deep soil, we investigated soil water and root profiles beyond maximum rooting depth in five apple orchards planted on farmland with stand ages of 8, 11, 15, 18, and 22 years in a subhumid region on the Chinese Loess Plateau. Apple trees rooted progressively deeper for water with increasing stand age and reached 23.2 ± 0.8 m for the 22‐year‐old trees. Soil water deficit in deep soil increased with tree age and was 1,530 ± 43 mm for a stand age of 22 years. Measured root deepening rate was far great than the reported pore water velocity, which demonstrated that trees are mining resident old water. The deficits are not replenished during the life‐span of the orchard, showing a one‐way mining of the critical zone water. The one‐way root water mining may have changed the fine root profile from an exponential pattern in the 8‐year‐old orchard to a relative uniform distribution in older orchards. Our findings enhance our understanding of water‐root interaction in deep soil and reveal the unintended consequences of critical zone dewatering during the lifespan of apple trees. 相似文献
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Zhiwei Xu James Irving Kyle Lindsay John Bradford Peimin Zhu Klaus Holliger 《Geophysical Prospecting》2020,68(2):678-689
Knowledge about the stochastic nature of heterogeneity in subsurface hydraulic properties is critical for aquifer characterization and the corresponding prediction of groundwater flow and contaminant transport. Whereas the vertical correlation structure of the heterogeneity is often well constrained by borehole information, the lateral correlation structure is generally unknown because the spacing between boreholes is too large to allow for its meaningful inference. There is, however, evidence to suggest that information on the lateral correlation structure may be extracted from the correlation statistics of the subsurface reflectivity structure imaged by surface-based ground-penetrating radar measurements. To date, case studies involving this approach have been limited to 2D profiles acquired at a single antenna centre frequency in areas with limited complementary information. As a result, the practical reliability of this methodology has been difficult to assess. Here, we extend previous work to 3D and consider reflection ground-penetrating radar data acquired using two antenna centre frequencies at the extensively explored and well-constrained Boise Hydrogeophysical Research Site. We find that the results obtained using the two ground-penetrating radar frequencies are consistent with each other, as well as with information from a number of other studies at the Boise Hydrogeophysical Research Site. In addition, contrary to previous 2D work, our results indicate that the surface-based reflection ground-penetrating radar data are not only sensitive to the aspect ratio of the underlying heterogeneity, but also, albeit to a lesser extent, to the so-called Hurst number, which is a key parameter characterizing the local variability of the fine-scale structure. 相似文献
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The direct H2Oliquid–H2Ovapour equilibration method utilizing laser spectroscopy (DVE-LS) is a way to measure soil pore water stable isotopes. Various equilibration times and calibration methods have been used in DVE-LS. Yet little is known about their effects on the accuracy of the obtained isotope values. The objective of this study was to evaluate how equilibration time and calibration methods affect the accuracy of DVE-LS. We did both spiking and field soil experiments. For the spiking experiment, we applied DVE-LS to four soils of different textures, each of which was subjected to five water contents and six equilibration times. For the field soil experiment, we applied three calibration methods for DVE-LS to two field soil profiles, and the results were compared with cryogenic vacuum distillation (CVD)-LS. Results showed that DVE-LS demonstrated higher δ2H and δ18O as equilibration time increased, but 12 to 24 hr could be used as optimal equilibration time. For field soil samples, DVE-LS with liquid waters as standards led to significantly higher δ2H and δ18O than CVD-LS, with root mean square error (RMSE) of 8.06‰ for δ2H and 0.98‰ for δ18O. Calibration with soil texture reduced RMSE to 3.53‰ and 0.72‰ for δ2H and δ18O, respectively. Further, calibration with both soil texture and water content decreased RMSE to 3.10‰ for δ2H and 0.73‰ for δ18O. Our findings conclude that the calibration method applied may affect the measured soil water isotope values from DVE-LS. 相似文献