辽东山地混牧林经济分析

混牧林业是森林生态系统开发利用的一个重要组成部分。发展混牧林业直接关系到山地农村经济发展与环境改善和农民收入的提高。通过对辽东山地主要树种的林牧结合经营模式的实地观察调查,并采取回归分析和净现值计算,结果证实:混牧林业可以直接提高森林资源经营的经济效益,并且有较高的经济阈值,但对林分蓄积增长有负面影响,应适度控制载畜量和禁止在幼林下放牧。     

Static home-based versus dynamic mobility-based assessments of exposure to urban green space

There is growing interest in urban green space exposure estimated dynamically by accounting for individuals’ mobility during daily life. We aimed to explore if daily green space exposure estimates based on individuals’ mobility substantially differ from static home-based exposure estimates, and to examine potential effect modification by personal (sex and work status) and temporal (weekends versus weekdays) characteristics. To assess the association between daily exposure to urban green space, we used home address and time-activity data collected from 1911 participants in western New York, US, using their GPS-enabled mobile phones. We abstracted both individuals’ home address based (home-based) and daily time activity based (mobility-based) green space exposures from the Normalized Difference Vegetation Index (NDVI). Then, we assessed the association between mobility-based and home-based exposure estimates using linear mixed effect regression models with subject-specific random effects. We also explored whether this effect was modified by individual-level characteristics, including work status and sex, as well as whether assessments took place on weekdays versus weekends. We found that daily dynamic exposure to urban green space based on individuals’ mobility was not substantially different from static exposure estimates based on one’s residence, but that there were statistically significant effect modifiers. Specifically, the correspondence between mobility-based and home-based exposure to green space was relatively lower for employed compared to unemployed participants, whereas their correspondence during weekends increased compared to weekdays. Our findings suggest that there is a strong correspondence between mobility-based and home-based exposure to urban green space, but that their associations are modified by personal and temporal characteristics. Further research is needed to confirm our finding for general population in other settings, such as different seasons and other regions.     

土壤养分与冬枣果实品质关系的多元回归分析

以临猗县冬枣种植区土壤与果实样品为试材,测定了土壤养分含量与果实品质指标及果实品质与土壤肥力之间的相关关系,再用多元逐步回归方法筛选出土壤养分与品质最优线性回归关系,以期为当地合理施肥、提高肥料利用效率提供参考依据。结果表明:单果质量与有效锰呈负相关,与交换性钙呈正相关,有效硼影响较弱;果形指数与交换性钙呈负相关,有效锌影响较弱;维生素C含量与有机质、有效硼呈正相关,与有效铁、交换性钙呈负相关;可滴定酸与有效钾、有效磷呈正相关,有效铁影响较弱;可溶性固形物与交换性钙呈负相关,有效钾则影响较弱。冬枣果实品质受多个土壤养分因子共同影响,应依据土壤养分水平和对品质影响的效应,更有针对性的施肥,避免盲目施肥造成浪费和环境污染。     

海兰褐蛋鸡产蛋前期的生产性能分析

为了掌握海兰褐蛋鸡产蛋前期生产性能的特点及规律,对19~24周龄的有关性状进行了测定,计算了产蛋量和产蛋率等指标,进一步分析了性状间的相关性并建立了相应的回归方程。研究结果表明：产蛋前期的性能表现良好,与品种标准基本吻合;周龄、只日耗料量与产蛋各性状间有强的正相关（p〈0.01）;以周龄（X1）和只日耗料量（X3）为自变量,以X4、X5、X6、X7、X8为依变量分别建立回归方程,均极显著（p〈0.01）。此回归方程可用于产蛋性能的推测及生产管理与控制。     

我国食用菌产业发展现状及产业升级路径分析

对我国食用菌产业发展现状进行梳理,指出我国食用菌行业主要存在的问题不仅是开发规模小、科技含量低,而且品种质量参差不齐、销售渠道不畅、食用菌产品存在滞销等。构建面板数据模型探究影响我国食用菌产业升级的主要影响因素,结果表明,食用菌年度生产总量、食用菌行业从业人员总数、出口贸易总额、固定资产投资、居民消费支出水平与食用菌产业结构升级之间为显著的正相关关系,基于此提出了助力我国食用菌产业升级的政策。     

基于SVM的CFRW导电性建模预测研究

针对碳纤维增强木质复合材料（CFRW）导电性具有非线性的特点,采用基于支持向量回归机（SVM）的机器学习方法建立碳纤维增强木质复合材料导电性预测模型。结果表明,所建模型的预测精度高、泛化能力强.     

不同密度沙枣能源林生物量估测模型研究

沙枣是我国新兴的能源树种,为了简单、方便、准确地估算其生物量,笔者以地径、冠幅、树高作为自变量,利用数理统计方法筛选出不同密度下地上生物量的最佳估测模型。结果表明：不同密度的沙枣能源林生物量估测中需要各易测因子适当组合才能获得最高的相关性,拟合出最为理想的回归模型。     

利用MODIS数据反演森林生物量的方法研究

以东北三省为试验区,利用MOD IS时间序列上的植被指数NDVI,结合森林资源清查样地数据测算的林分生物量,以及年均降水量、年均蒸散量、年均湿润度、年均积温、经度、纬度等地理环境因子,采用多元线性回归的方法构建森林生物量遥感估测模型。通过样本检验,该模型对东北三省的森林生物量密度估测精度较高,与检验样本的平均每公顷生物量平均相差1.30%;通过样本定位检验,平均相差21.87%。该模型适宜在宏观尺度上估测森林生物量。