甘肃亚高山云杉人工林生态系统碳、氮储量动态和分配格局

云杉是甘肃亚高山地区重要的造林树种,研究其生态系统碳、氮储量的动态变化和分配格局有利于评价云杉人工造林后的生态恢复效果。以甘南、定西地区不同林龄(包括幼龄林、中龄林、近熟林和成熟林)的云杉人工林为研究对象,共设置16块调查样地。在野外调查、样品采集和分析的基础上,估算了其生态系统的碳、氮储量。结果显示:云杉林乔木不同器官的碳含量相对稳定,氮含量则与器官类型有密切关系;同一土层不同龄级的土壤碳、氮含量无明显差异。从乔木层、灌木层、枯落物层到草本层碳氮含量比值依次减小,土壤层碳氮含量比值最低。该地区云杉人工林生态系统总碳、氮储量分别为257. 75—430.23 t/hm~2和20.50—29.88 t/hm~2。随着林龄的增加,植被层碳、氮储量增加显著,分别从15.5 t/hm~2和0.24 t/hm~2增加到143.51 t/hm~2和1.65 t/hm~2。土壤层(0—100 cm)碳、氮储量分别为242.23—367.79 t/hm~2和20.26—29.58 t/hm~2,在整个生态系统各龄级中所占比例均超过60%和90%。生态系统和土壤层(0—100 cm)碳、氮储量在不同龄级间无显著差异。生态系统中土壤层、乔木层及灌、草、枯落物层的碳储量比例分别为85.72%、13.44%和0.84%,氮储量比例分别为97.60%、2.08%和0.32%。     

Yangtze Dams Increasingly Threaten the Survival of the Chinese Sturgeon

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施肥对油茶园土壤呼吸和异养呼吸及其温度敏感性的影响

油茶是中国南方重要的木本食用油料树种,研究施肥对油茶园土壤呼吸及其温度敏感性的影响,对于估算中国南方典型种植园林温室气体排放及其对气候变化的响应具有重要意义。设置对照(CK)、施肥(OF)、断根(CK-T)和断根施肥(OF-T)4个处理,采用静态箱-气相色谱法,通过多年观测,分析探讨施肥对油茶园土壤呼吸和异养呼吸及其温度敏感性的影响。结果表明:(1)施肥对油茶园土壤呼吸和异养呼吸无显著影响。研究期间,各处理(OF、CK、OF-T、CK-T)土壤CO_2通量依次为(77.91±2.59)、(73.71±0.97)、(66.82±1.02)mg C m~(-2)h~(-1)和(66.84±3.94)mg C m~(-2)h~(-1);(2)各处理土壤呼吸温度敏感性(Q_(10))表现为OF-T(1.96±0.01)CK-T(1.79±0.03)OF(1.77±0.01)CK(1.75±0.03),其中,OF-T处理下Q_(10)显著高于其他3个处理,即施肥显著增加了断根处理土壤呼吸Q_(10);(3)施肥显著增加了土壤表层NH_4~+-N和NO_3~--N含量,Q_(10)与土壤表层NH_4~+-N和NO_3~--N含量表现出显著的正相关关系。     

黄土丘陵区刺槐与油松人工林生态系统生态化学计量特征

为阐明不同人工林生态系统间生态化学计量特征的差异,采用野外采样与室内分析相结合的方式分析了陕北黄土丘陵区落叶阔叶树种刺槐和常绿针叶树种油松人工林乔木、灌草、枯落物和土壤(土层深度0—100cm)C、N、P化学计量特征。结果表明:1)刺槐乔木各器官(叶、枝、干、皮、根)C含量显著低于油松,但N和P含量显著高于油松。因此,油松的C∶N和C∶P显著大于刺槐,而N∶P小于刺槐。2)刺槐林下枯落物N和P含量显著高于油松,但C含量显著小于油松。此外,油松林下枯落物C∶N(70.21)大于刺槐林下枯落物C∶N(19.71),说明油松林下枯落物分解较慢,有利于养分的存储。3)刺槐和油松人工林土壤C、N含量均随土壤深度增加而减少,P含量则基本保持不变。刺槐人工林土壤中C含量低于油松,N、P含量在两者之间无显著差异。4)刺槐人工林内乔灌草叶、枯落物与土壤C、N、P及其计量比的相关性多集中在10—20、20—30cm土层,而油松林中各组分与土壤营养元素的相关性相对较小,其中20—30cm土层中无显著相关性,说明相比刺槐人工林而言,油松人工林内土壤层N、P供应量对植物叶片N、P含量影响不显著。本研究为深入了解黄土丘陵区生态系统养分耦合循环机制奠定了基础,同时也为黄土丘陵区的植被恢复工作提供了一定的指导意义。     

豫西黄土丘陵区不同林龄栎类和侧柏人工林碳、氮储量

利用空间代替时间样地调查法,分析了豫西黄土丘陵区栎类和侧柏人工林生态系统碳、氮储量的分布格局,以及不同土层碳储量和氮储量随林龄的动态变化.结果表明:随着树龄的增加,两类人工林乔木层和枯落物层碳储量均增加,土壤碳储量和氮储量主要在表层(0~20 cm)汇聚,且各土层碳储量和氮储量随着林龄增加表现为减少-增加-减少的趋势.各林龄栎类人工林土壤表层碳、氮储量分别为20.31~50.07和1.68~2.12 t·hm^-2;不同林龄侧柏人工林土壤表层碳、氮储量分别为23.99~48.76和1.59~2.34 t·hm^-2;各林龄栎类和侧柏人工林生态系统的碳储量分别为52.04~275.82和62.18~279.81 t·hm^-2;侧柏人工林碳汇能力略高于栎类人工林.土壤C/N随着造林年限的增加呈增加趋势.     

杉木人工林种子雨组成和季节动态

杉木人工林已成为亚热带森林的重要组成部分,它具有可持续的自然更新能力,是决定杉木林群落演替方向和维持杉木林大面积存在的基础.本文以杉阔混交林和杉木纯林为研究对象,分析其种子雨的物种组成、数量大小和季节动态,以及林分优势物种种子雨数量特征和季节变化,揭示种源条件是否是制约杉木人工林天然更新的主要因素.结果表明:杉阔混交林和杉木纯林分别收集到13科18属21种和12科16属19种的种子.混交林和纯林的所有物种种子雨强度分别为3797和3300粒·m^-2.乔木物种种子数量在种子雨中占绝对优势,混交林占89.1%,纯林占86.2%,其中杉木种子数量最多,其完整种子雨强度分别为825和345粒·m^-2.两林分种子雨各类型种子所占比例均为完整种子>干瘪或腐烂种子>被取食种子.两林分种子雨均具有明显的季节动态,均在秋季到达高峰,且在落种高峰期种子雨以完整种子为主.无论是杉阔混交林还是杉木纯林都有充足的种源,种源(种子雨)条件不是制约杉木林天然更新的主要因素.     

肠道菌群与高血压病主要危险因素的相关性及 中药干预研究现状

近年来国内、外文献报道高血压病的发生可能与肠道菌群失调相关。肠道菌群与高血压病主要危险因素(肥胖、高血脂、糖尿病、代谢综合征、动脉粥样硬化)具有一定的相关性,某些益生菌或其发酵产品可能通过改善肠道菌群的方式为高血压病的治疗提供新的思路和途径。近年来研究显示中药具有较长的肠道停留时间,从而有利于其发挥调节肠道菌群的作用,提示某些中药具有调节肠道菌群的作用。但目前国内、外尚无关于中药直接通过肠道菌群作用而干预高血压病的文献报道,而近年来国内有研究显示肠道菌群可能是中药干预高血压病主要危险因素的作用机制之一。     

肠道菌群在中药代谢中的作用

近年来,中药在疾病防治方面所发挥的巨大作用受到了广泛认可。科学合理地解释中药的作用机制将有助于提高其利用价值。越来越多的证据表明肠道菌群在中药治疗中起着至关重要的作用,是打开我国中医药宝库的一把钥匙。肠道菌群在中药代谢过程中发挥着复杂的作用:一方面,人类肠道菌群通过编码多种活性酶,促进了中药组分中的非碳水化合物小分子与碳水化合物在肠道中的代谢过程;另一方面,经肠道菌群代谢转化后产生的中药产物具有多种药理作用。因此,在未来中药研究中应更多地考虑肠道微生态因素,这有助于为中药的药理作用机制研究奠定新的科学基础。     

Idaho forest growth response to post‐thinning energy biomass removal and complementary soil amendments

Utilization of woody biomass for biofuel can help meet the need for renewable energy production. However, there is a concern biomass removal will deplete soil nutrients, having short‐ and long‐term effects on tree growth. This study aimed to develop short‐term indicators to assess the impacts of the first three years after small‐diameter woody biomass removal on forest productivity to establish optimal biomass retention levels for mixed‐conifer forests in the Inland Northwest region, and to evaluate the ability of soil amendments to compensate for potential adverse effects from biomass removal. We examined impacts of four biomass retention‐level treatments at two study locations: full biomass removal (0x), full biomass retention (1x), double biomass retention (2x), and unthinned control. We combined biomass retention with four soil amendment treatments: biochar (B), fertilizer (F), fertilizer and biochar combined (FB), and an untreated control (C). We considered treatment effects on basal area and total stem volume growth for all trees per plot (plot trees) and for the six largest trees per plot (crop trees). Biomass removal had no effect on plot (P > 0.40) or crop tree growth (P > 0.65) compared to normal biomass retention. High biomass retention (2x) decreased plot tree growth as compared to normal biomass retention (1x) levels (P < 0.05) after three years. This growth difference was not explained by soil moisture, temperature, or nutrient uptake. While there were strong tree growth differences between study locations, patterns of biomass and amendment treatment responses did not differ. Fertilizer increased basal area growth and total volume growth (P < 0.10) as expected, because nitrogen is limiting in the region. Biochar had no effect on tree growth (P > 0.47). Initial findings after three years suggest removing small‐diameter biomass for biofuel feedstocks is feasible in the Inland Northwest without negative impacts on tree growth.     

Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features

OBJECTIVES: To analyze the distant metastasis possibility based on computed tomography (CT) radiomic features in patients with lung cancer. METHODS: This was a retrospective analysis of 348 patients with lung cancer enrolled between 2014 and February 2015. A feature set containing clinical features and 485 radiomic features was extracted from the pretherapy CT images. Feature selection via concave minimization (FSV) was used to select effective features. A support vector machine (SVM) was used to evaluate the predictive ability of each feature. RESULTS: Four radiomic features and three clinical features were obtained by FSV feature selection. Classification accuracy by the proposed SVM with SGD method was 71.02%, and the area under the curve was 72.84% with only the radiomic features extracted from CT. After the addition of clinical features, 89.09% can be achieved. CONCLUSION: The radiomic features of the pretherapy CT images may be used as predictors of distant metastasis. And it also can be used in combination with the patient's gender and tumor T and N phase information to diagnose the possibility of distant metastasis in lung cancer.