宽甸地区林业资源及其特色产业发展研究

综述宽甸地区自然条件和林业资源概况,介绍林业特色产业的规划布局和建设现状。基于生态文明的发展理念,根据林业资源的特点和优势,提出进一步发展特色林业产业的可行性建议,为充分发挥宽甸地区林业资源潜力提供借鉴。     

基于农林植物表型的智能喷雾机械研究进展

传统喷雾机械通常仅关注无生命的机械作业性能，而忽略了有生命的植物因素，造成喷雾机械智能化水平不高。文中在分析农林植物表型对喷雾机械设计方法和喷雾性能影响的基础上，系统综述国内外开展的智能喷雾机械研究，提出基于植物表型的智能喷雾机械设计方法研究展望，探讨分析基于农林植物表型特征参数的新型、高水平智能化喷雾机械，并指出农林植物表型技术的发展必将推动绿色智能喷雾机械的创新。     

白云国家森林公园适老性评价及优化分析

指出了人口老龄化是社会发展的必然趋势,也是当前中国面临的重要社会问题之一,国家和地方各级政府出台了一系列政策,切实保障老年人的权益。森林公园除保护其范围内自然环境和自然资源外,为人们的游憩、疗养、避暑和文化娱乐等提供了良好的环境,逐渐成为老年人休闲娱乐生活的选择。选取浙江丽水白云国家森林公园为研究对象,通过实地踏查、问卷调查和随机访谈等方法,深入调查了老年人个人基本资料及背景、活动状况和使用情况,对3类典型空间和4类景观元素进行了详细地分析,针对不足之处提出了相应的优化建议,以期为相关公园绿地的适老性规划设计提供建设思路。     

基于距离相关系数和KNN回归模型的森林蓄积量估测研究

【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。     

云南松林下栽培滇黄精试验初报

[目的]探索云南松林下栽培滇黄精的技术。[方法]按照不同林分、坡位、密度设置样方,统计不同种苗类型、林龄类型、坡位类型、密度类型对林下栽培滇黄精生长的影响。[结果]在云南松林下栽培滇黄精,应选择块茎苗进行催芽处理,种植于排水较好的中坡位,郁闭度在0.6左右。[结论]为云南松林下栽培滇黄精提供了科学的依据。     

茶树花青素形成分子机理的研究进展

花青素是由类黄酮合成途径产生的次生代谢产物,含量高时会使茶树新梢呈现红色或紫色。同时,花青素相比儿茶素等具有更明显的抗氧化、预防肿瘤等药理保健作用。文章就茶树花青素合成途径、转录及转录后调控等方面进行综述,以期更好地为高花青素茶树的育种研究提供理论依据。     

王正非林火蔓延模型改进研究

王正非林火蔓延模型是目前国内比较先进的森林火灾蔓延模型,但是由于林火行为的复杂性,此模型在准确率和普适性方面仍存在许多不足。本文结合已有的成果进一步改进王正非模型,增加了可燃物湿度对林火蔓延速度的影响,改进了林火初始速度的计算方式。针对各种坡度对林火蔓延行为的影响给出了一个计算公式。与改进前相比,改进后的模型使其对林火蔓延情况的预估更为精准。     

Replacement of fish oil in plant‐based diets for Pacific white shrimp,Litopenaeus vannamei,by stearine fish oil and palm oil

Stearine fish oil (SFO) and palm oil (PO) have emerged as promising alternatives for the replacement of fish oil (FO) in aquafeeds. This study evaluated the replacement of FO with alternative oils in practical diets for Litopenaeus vannamei. In a clear brackish water study (14.1 g/L) utilizing shrimp (0.29 ± 0.02 g, initial weight), FO was replaced by SFO at inclusion ratios of 100:0, 75:25, 50:50, 25:75, and 0:100 (FO:SFO) and PO as 90% of FO. After 55 days, no significant differences (p < 0.05) in final weight, growth, or survival of shrimp were observed. A second trial (8 weeks) in low‐salinity water (2.1 g/L) with shrimp (0.92 ± 0.02 g, initial weight) evaluated diets with 100% FO, 100% SFO, 90% PO, 90% soybean oil (SO), or 90% flaxseed oil (FXO) as a replacement for FO and four commercially produced diets with 2% of FO, SO, PO, or FXO. One treatment received half rations of the commercial FO diet, and one treatment was based entirely on natural productivity. Results show that the fatty acid profiles of the tail muscle conformed to the lipids of the feed, and highly unsaturated fatty acids (HUFAs) were preserved. Following 8 weeks of culture, there were no significant differences in production performance.     

Mapping the current and future distributions of Onosma species endemic to Iran

Climate change may cause shifts in the natural range of species especially for those that are geographically restricted and/or endemic species. In this study, the spatial distribution of five endemic and threatened species belonging to the genus Onosma (including O. asperrima, O. bisotunensis, O. kotschyi, O. platyphylla, and O. straussii) was investigated under present and future climate change scenarios: RCP2.6 (RCP, representative concentration pathway; optimistic scenario) and RCP8.5 (pessimistic scenario) for the years 2050 and 2080 in Iran. Analysis was conducted using the maximum entropy (MaxEnt) model to provide a basis for the protection and conservation of these species. Seven environmental variables including aspect, depth of soil, silt content, slope, annual precipitation, minimum temperature of the coldest month, and annual temperature range were used as main predictors in this study. The model output for the potential habitat suitability of the studied species showed acceptable performance for all species (i.e., the area under the curve (AUC)>0.800). According to the models generated by MaxEnt, the potential current patterns of the species were consistent with the observed areas of distributions. The projected climate maps under optimistic and pessimistic scenarios (RCP2.6 and RCP8.5, respectively) of 2050 and 2080 resulted in reductions and expansions as well as positive range changes for all species in comparison to their current predicted distributions. Among all species, O. bisotunensis showed the most significant and highest increase under the pessimistic scenario of 2050 and 2080. Finally, the results of this study revealed that the studied plant species have shown an acute adaptability to environmental changes. The results can provide useful information to managers to apply appropriate strategies for the management and conservation of these valuable Iranian medicinal and threatened plant species in the future.     

我国喀斯特断陷盆地石漠化区植物群落构建机制研究

喀斯特断陷盆地是我国石漠化综合治理8大喀斯特类型中治理成效最低、治理难度最大的区域，面临石漠化严重、干旱频发、植被恢复难等突出问题。文中针对水分是影响喀斯特断陷盆地石漠化治理与植被恢复成效最关键的限制因素，综合分析了国内外水分梯度差异与植物群落构建机制研究动态与发展趋势；提出利用日趋成熟的水分脆弱性评价方法，通过建立基于耦合暴露度、敏感性及适应性的水资源脆弱性评价指标体系，以满足遥感影像分辨率和植物群落调查样地大小的评价单元进行水分脆弱性评估；在建立物种库—功能性状—生境特征数据库的基础上，提出基于功能性状差异进行喀斯特断陷盆地植物群落机制构建的研究方案。提出的研究方案有望解决喀斯特断陷盆地石漠化区水分梯度特征与分布格局、自然植物群落组配规律及其生境特征、水分梯度与生境要素对植物群落特征及功能性状组成的影响规律等关键科学问题，可为不同脆弱生态区植被恢复群落构建机制研究提供重要参考和借鉴。