陕西不同区域苹果林土壤水分动态和水分生产力模拟

基于WinEPIC和偏最小二乘回归模型对1981—2016年陕西不同区域成龄苹果林的水分生产力影响因子和土壤水分动态进行比较.结果表明: 研究期间,陕北丘陵沟壑区、渭北残塬区和关中平原区成龄苹果林年均产量分别为16.94、22.62和25.70 t·hm^-2,年均蒸散量分别为511.2、614.9和889.88 mm,水分生产力分别为3.81、3.82和3.24 kg·m^-3.在陕北区和渭北区,林地水分胁迫最严重,年均胁迫天数分别为54.89、28.38 d,关中区的N素胁迫较为剧烈,年均胁迫天数为25.87 d.陕北区和渭北区影响苹果林产量的最大因子是降水量,其标准化回归系数分别为0.274和0.235,但施N量对产量也有较大影响,回归系数分别达0.224和0.232;关中区的最大影响因子为施N量,回归系数为0.335,其次是供水量和施P量,回归系数分别为0.154和0.147.陕北区和渭北区影响苹果林水分生产力的最大因子是降水量,其标准化回归系数分别0.238和0.194;关中区最主要的影响因子为施N量和供水量,回归系数分别为0.182和0.178.在模拟期间,陕北区、渭北区和关中区苹果林地的过耗水总量分别为1152.17、1342.95和1372.42 mm,2~15 m土层土壤有效含水量下降速率分别为63.44、57.08、51.41 mm·a^-1,深层土壤干层出现时间分别为8、13和17年后,干层稳定至11 m深的时间分别为18、21和26年,干燥化严重.不同区域苹果林的管理重心应参考水分生产力的主导因子确定.     

基于GAM模型的阿拉伯海鲐鱼渔场分布与环境关系

基于2016-2017年中国印度洋围拖网生产数据以及同期的海表温度、叶绿素、表层海流和海面高度数据,采用广义加性模型(Generalized Additive Model,GAM)建立了围网单位捕捞努力量渔获量(catch per unit effort,CPUE)对海洋环境的非线性响应模型,分析了阿拉伯海鲐鱼(Scomber australasicus)渔场分布与海洋环境关系.结果表明:空间因子和环境因子对阿拉伯海鲐鱼渔场有显著影响,GAM模型的方差解释率为30.1%;印度洋季风对鲐鱼CPUE影响大,鲐鱼CPUE在印度洋东北季风高,在夏季季风低;全年阿拉伯海鲐鱼围网渔场主要分布在60°E、13°N-15°N斜向椭圆区域;模型表明,鲐鱼渔场适宜海表温度为26~28℃,叶绿素浓度0.2~0.5 mg·m^-3,海面高度0.2~ 0.4 m;影响鲐鱼渔场的因子按重要性依次为海面高度、经纬度、海表温度和叶绿素浓度.     

高黎贡山雉类生境预测

物种分布信息对野生动物的保护和管理至关重要。基于物种访查数据和气候数据,采用基于物种生境偏好、利比希最小因子定律和谢尔福德耐受性定律构建的生态位模型,综合考虑物种出现点和环境变量,预测了高黎贡山白尾梢虹雉Lophophorus sclateri、血雉Ithaginis cruentus、白鹇Lophura nycthemera、白腹锦鸡Chrysolophus amherstiae的潜在分布区域。结果表明,模型对4种雉类的预测均达到较好效果;白尾梢虹雉、血雉、白鹇和白腹锦鸡的潜在生境总面积分别为6 432 km^2、8 464 km^2、9 573 km^2和13 691 km^2,白鹇和白腹锦鸡的潜在生境面积大于白尾梢虹雉和血雉,但后两者具有更多的高质量生境。高黎贡山北段是4种雉类潜在生境的重叠区,为高黎贡山雉类保护的优先区域,尤其是白尾梢虹雉,建议加大该区域的雉类调查和保护力度。     

2型糖尿病模型小鼠造模时间的选择

目的:分析不同时期的2型糖尿病小鼠血生化指标及心肌和肾脏的病理变化情况,为选择2型糖尿病模型小鼠造模时间提供依据。方法:32只健康雄性ICR小鼠高脂饲料喂养6周后,腹腔注射链脲佐菌素(STZ,30mg/kg),连续5d,制备糖尿病模型。9d后测空腹血糖(FBG),高于11.1mmol/L视为糖尿病模型。分别于成模后第4、6、8周处死一组小鼠。另取8只雄性ICR小鼠作为对照组,常规饲料喂养,于糖尿病组小鼠成模后第8周处死。分析小鼠生化及病理情况:①心脏、肾脏脏器系数计算;②血清乳酸脱氢酶(LDH)、肌酸激酶(CK)、肌酐(Cr)和尿素氮(BUN)含量测定;③HE染色观察心肌和肾脏组织病变的整体情况;Masson染色观察心肌组织纤维化情况;PAS染色观察肾脏组织病理变化。结果:与对照组小鼠进行比较,第4、6、8周的糖尿病小鼠心脏器系数升高,血清LDH、CK升高,病理组织学见心肌细胞肥大,纤维化;肾脏脏器系数升高,肾功能肌酐(Cr)、尿素氮(BUN)显著升高,病理组织学见肾小球肥大,肾小管基底膜增厚,管腔萎缩。结论:第6周糖尿病小鼠相关生化病理指标改变相对明显且饲养时间相对较短,故2型糖尿病模型小鼠造模后第6周是进行药物干预和病理、生理、生化等研究的最佳时间。     

不同酒精度、盐度及酸碱度条件下醉泥螺中副溶血性弧菌的一级生长预测模型

通过分别控制酒精度、盐度、酸碱度三种单一变量腌制醉泥螺,测定醉泥螺中副溶血性弧菌的生长曲线,并采用SGompertz模型进行拟合,建立不同条件下的一级生长预测模型。结果表明酒精可以抑制副溶血性弧菌生长,而pH7.5和盐度3.3%的条件相对适合其生长。本文建立的醉泥螺中副溶血性弧菌在不同条件下的预测模型,可为醉泥螺安全性的预测、副溶血性弧菌的控制、工艺条件的改善提供依据。     

Physiological model using diffuse reflectance spectroscopy for nonmelanoma skin cancer diagnosis

Diffuse reflectance spectroscopy (DRS) is a noninvasive, fast, and low‐cost technology with potential to assist cancer diagnosis. The goal of this study was to test the capability of our physiological model, a computational Monte Carlo lookup table inverse model, for nonmelanoma skin cancer diagnosis. We applied this model on a clinical DRS dataset to extract scattering parameters, blood volume fraction, oxygen saturation and vessel radius. We found that the model was able to capture physiological information relevant to skin cancer. We used the extracted parameters to classify (basal cell carcinoma [BCC], squamous cell carcinoma [SCC]) vs actinic keratosis (AK) and (BCC, SCC, AK) vs normal. The area under the receiver operating characteristic curve achieved by the classifiers trained on the parameters extracted using the physiological model is comparable to that of classifiers trained on features extracted via Principal Component Analysis. Our findings suggest that DRS can reveal physiologic characteristics of skin and this physiologic model offers greater flexibility for diagnosing skin cancer than a pure statistical analysis. Physiological parameters extracted from diffuse reflectance spectra data for nonmelanoma skin cancer diagnosis.     

Construction of a Model Culture System of Human Colonic Microbiota to Detect Decreased Lachnospiraceae Abundance and Butyrogenesis in the Feces of Ulcerative Colitis Patients

Compositional alteration of the gut microbiota is associated with ulcerative colitis (UC). Here, a model culture system is established for the in vitro human colonic microbiota of UC, which will be helpful for determining medical interventions. 16S ribosomal RNA sequencing confirms that UC models are successfully developed from fecal inoculum and retain the bacterial species biodiversity of UC feces. The UC models closely reproduce the microbial components and successfully preserve distinct clusters from the healthy subjects (HS), as observed in the feces. The relative abundance of bacteria belonging to the family Lachnospiraceae significantly decreases in the UC models compared to that in HS, as observed in the feces. The system detects significantly lower butyrogenesis in the UC models than that in HS, correlating with the decreased abundance of Lachnospiraceae. Interestingly, the relative abundance of Lachnospiraceae does not correlate with disease activity (defined as partial Mayo score), suggesting that Lachnospiraceae persists in UC patients at a decreased level, irrespective of the alteration in disease activity. Moreover, the system shows that administration of Clostridium butyricum MIYAIRI restores butyrogenesis in the UC model. Hence, the model detects deregulation in the intestinal environment in UC patients and may be useful for simulating the effect of probiotics.     

Parasitism and alternative reproductive tactics in Northern chamois

Alternative reproductive tactics (ARTs), discrete phenotypic variations evolved to maximize fitness, may entail different cost‐benefit trade‐offs. In large mammals, differences in costs associated with ARTs—including energy expenditure and parasite infection—are typically greatest during the breeding season. Nonetheless, physiological and behavioral differences between ARTs can manifest throughout the year, possibly involving costs that may contribute to maintain ARTs within populations. Using the number of nematode larvae per gram of feces (LPG) as a proxy, we explored the temporal changes in lung parasite infection in territorial and nonterritorial male chamois Rupicapra in the Gran Paradiso National Park (Italy), between 2011 and 2012. We aimed to identify which tactic‐specific physiological and behavioral features (including age, hormonal levels, inter‐ and intrasexual interactions, and space use) or climatic factors (temperature and precipitation) best explained yearly variation in parasite infection within and between ARTs. Generalized additive mixed models showed that the fecal larval counts of lung nematodes underwent strong temporal changes in both male types. Differences between ARTs (with higher LPG values in territorial than nonterritorial males) were greatest during the rut and—to a lesser extent—in spring, respectively, at the peak and at the onset of territoriality. The difference in LPG between tactics was largely explained by the greater levels of hormone metabolites in territorial males during the rut. The other variables did not contribute significantly to explain the different shedding of larvae within and between ARTs. Our analysis suggests that different values of LPG between territorial and nonterritorial males are largely a result of tactic‐specific differences in the secretion of hormone metabolites, but only during the rut. To clarify whether rut‐related parasitism contributes to the maintenance of ARTs, tactic‐specific life history trade‐offs, for example, between reproduction and parasite‐related mortality, must be investigated.