基于水文分析的动物通道选址——以龙栖山自然保护区为例

自然保护区内道路等基础设施的建设不可避免地会对动物生境产生影响，造成动物死亡率提升。动物通道的设置是改善由道路建设引起的生境破碎化的有效途径，而正确选择动物通道的位置才能使其真正发挥作用。以福建省将乐县龙栖山国家级自然保护区为对象，选取对林区生境影响较大的6种环境因子:树种类型、树种平均年龄、胸径、坡度、海拔以及郁闭度，使用层次分析法(AHP)进行权重分析，相对权重依次为0.296、0.235、0.163、0.085、0.076、0.145。将因子进行叠加构建出生境适宜性指数(HSI)评价模型，并对研究区的生境适宜性进行评价。在此基础上采用ArcGIS的水文分析模块模拟动物潜在的活动路径与道路叠加，从而确定合适的动物通道位置。结果表明，HSI较高的区域多集中在自然保护区中部高海拔地区与缓坡地带，植被主要以天然阔叶林为主，树种的平均年龄大，覆盖面积广，郁闭度高，能够为大中型的走兽提供较好的觅食、隐蔽、繁殖场所，结合量化出的动物活动路径，得到2处动物通道的理想位置。此经HSI模型模拟出的路线只能是一种大概率情况，所建议的通道建设完成后，还需进行持续的野生动物利用情况监测，以评估通道的有效性，进而进行有针对性的改造设计，直到野生动物通道的利用效果良好。对于所得到的动物活动路径，不仅可以为动物通道选址提供参考，也可为动物迁移廊道修正、林区择伐等提供科学依据。     

Phytophthora oleae,a new root pathogen of wild olives

Wild olive (Olea europaea subsp. europaea var. sylvestris) is an important component of Mediterranean forests and a key genetic source for olive improvement programmes. Since 2009, a severe decline caused by Phytophthora cryptogea and P. megasperma has been detected in a protected wild olive forest of high ecological value (Dehesa de Abajo, Seville, Spain). In this natural forest, sampling of roots and soil was carried out on 25 wild olives with symptoms in 2014 and 2015. Apart from the already known P. cryptogea A1 and P. megasperma, a third Phytophthora species was consistently isolated from wild olive rootlets with symptoms. These isolates conformed morphologically with the newly described species P. oleae and were confirmed by analysis of their ITS regions and cox1 sequences. Temperature–growth relationships showed a maximum growth at 19.9 °C on carrot agar medium, making it the lowest temperature Phytophthora species infecting wild olive roots. Pathogenicity was confirmed on 1-year-old healthy wild olive seedlings and was similar to the previously known pathogenic phytophthoras. As temperature requirements are quite different, the three Phytophthora species may be active against wild olive roots in different seasons. However, the prevalence of P. oleae infecting wild olives in recent years could be due to its introduction as a new invasive pathogen. The probable invasive nature of P. oleae, together with increasing rain episodes concentrated in short periods frequent in southern Spain, would allow the outbreak of infections in wild olive forests, and also put cultivated olive orchards at risk.     

Intercropping fenugreek (Trigonella foenum‐graecum L.) and barley (Hordeum vulgare L.) with and without biochar: Tests along a competition gradient

Integrating soil amendment biochar to legume‐based intercropping systems may amplify the intercropping benefits and lead to more sustainable production due to its positive effects on the soil physicochemical and biological environment. Fenugreek (Trigonella foenum‐graecum) is a legume used in an intercropping system in several countries in Southern Europe, the Middle East, and Asia. A barley cultivar and an Iranian fenugreek ecotype were studied in two replacement series experiments to find the best combination of the two species as well as the effect of adding biochar to the soil. Fenugreek and barley were grown in 4‐L pots in five density combinations (20:0, 15:5, 10:10, 5:15, 0:20) with and without application of biochar in sandy loam soil. The biomass, nitrogen (N) and carbon (C) amount of the two crops were measured fifty days after sowing, and the Relative Yield Total (RYT) was estimated. Our results showed that biochar application resulted in a higher total biomass, N and C amount in all combinations of fenugreek and barley. Total biomass was increased by biochar 19.2% when fenugreek was grown alone and 8.1 and 12.9% in series with 25 and 50% barley when biochar was added, respectively. Biochar increased dry matter, N and C accumulation in both crop species in the mixtures. An exception was the C amount of barley which was not influenced by biochar in intercropping. RYT values were largest for biomass, C and N amount in mixtures with 15 fenugreek plants per pot and 5 barley plants per pot corresponding to approximately 400 fenugreek plants per m mixed with 130 barley plants per m². Biochar application increased RYT of the total dry weight by 2.7 and 5.5% in mixtures of 25 and 50% barley plants, RYT of the total nitrogen by 0.8% in mixtures with 25% barley plants, and RYT of the total carbon by 2.7 and 6.6% in mixtures with 25 and 50% barley plants. The RYT values declined with increasing number of barley plants as a result of a less competitive ability of fenugreek when growing in high barley densities. The yield was highest with intercropping but monoculture of barley also resulted in high yields. The total highest yield was found when approximately 130 fenugreek plants per m² were mixed with 400 barley plants per m². Mixtures with 75% fenugreek and 25% barley obtained RYT values larger than 1 for biomass, carbon and nitrogen percentages.     

广州市海珠广场绿地提升改造

以广州市海珠广场绿地景观提升改造为例,探究老城区中心广场景观提升的策略和途径。通过原状广场实地调研、环境精准识别,针对绿化景观无序、场内空间封闭、园路铺装失修等现状,结合SWOT模型,对工程项目的内部因素(优势、劣势)和外部因素(机遇、挑战)进行全面分析,制定挖掘文化内涵、改善人居环境、促进生态可持续的景观改造原则。采用适当抽疏、增加花卉、合理规划景观格局、应用海绵城市建设技术等措施,打造兼具"红色"文化传承、门户形象展示、休闲观光、活动举办场所等功能为一体的综合性广场。     

沾益区创建国家森林城市的思路与举措

分析沾益区在创建国家森林城市工作过程中的思路与举措,认为动员全民参与是“创森”工作的坚强后盾;确保工作经费,多方筹措资金是“创森”工作的动力来源;突出建设重点,完成创建指标实现是“创森”工作的最终目的;抓好森林资源保护,巩固工作成效是“创森”工作的安全保障;建好档案台账,完善痕迹管理使“创森”工作有据可查。     

发酵全混合日粮对肉羊消化吸收功能和生长性能的影响研究

旨在探讨添加混合微生物菌剂的发酵全混合日粮(Fermented total mixed ration，FTMR)对肉羊营养物质消化吸收功能和生长性能的影响。通过发酵和肉羊饲喂试验，测定了FTMR的品质变化、营养物质表观消化率、肉羊瘤胃发酵情况及日增重。结果表明:1)全混合日粮发酵后pH和中性洗涤纤维含量显著降低，乳酸和乙酸含量显著增加(P<0.05)；2)试验组肉羊瘤胃液pH显著降低，氨态氮含量降低50%以上(P<0.05)；粗蛋白质、粗脂肪、中性洗涤纤维、酸性洗涤纤维和酸性洗涤木质素(ADL)的利用率均显著高于对照组(P<0.05)，尤其是ADL利用率提高了29.92%(P<0.05)。3)试验组平均日增重较对照组提高50%。综上，混合微生物菌剂加入全混合日粮发酵后，适口性增强，可改善肉羊瘤胃液环境，提高肉羊的消化吸收功能和生长性能，有利于提高秸秆饲料化利用效率。     

森林保险制度体系重塑与运行机制优化

森林保险市场存在有效需求不足、创新供给乏力、地方政府参与积极性低的供需双冷局面,财政补贴政策低效运行。其根本原因是缺乏独立的适应其特殊性的森林保险制度体系作为保障,致使现有运行机制不协同,产品体系不科学,补贴机制不合理,导致市场发展缓慢。为此,通过林业风险与林业生产的属性特征分析,确定我国森林保险属性定位应是有政府支持的商业性森林保险,在此基础上围绕运行模式、产品体系、财政补贴体系建立相应的运行机制,从而构建一套独立综合的森林保险制度体系与运行机制,以改善供需双冷市场僵局,保障财政补贴政策有效发挥,推动森林保险健康持续发展。     

基于GF-1和Sentinel-2时序数据的茶园识别

由于茶园大多分布在地形复杂的山区,地块破碎,分布零散,形状差异大、植被混杂且茶园所处环境长期受到云雨的影响,增加了茶园遥感识别的难度与不确定性,针对这一问题,该研究提出了利用高分1号(GF-1)和哨兵2号(Sentinel-2)时序数据提取茶园的方法,以浙江省武义县王宅镇为研究区,采用GF-1号为主要数据源,并利用MODIS地表反射率产品和Sentinel-2反射率数据,基于时空融合算法得到时间分辨率5 d的10 m Sentinel-2完整的时序数据。综合利用GF-1在空间细节方面的优势和重建的Sentinel-2高观测频率时序数据在反映茶树生长过程方面的优势,分别基于GF-1的光谱和纹理特征及GF-1的光谱、纹理特征和Sentinel-2时序特征两种特征组合方式,采用随机森林算法提取茶园。结果表明,GF-1光谱、纹理信息结合Sentinel-2时序信息分类结果的准确率、错误率、精确率、召回率和F1分数分别为96.91%、3.09%、89.00%、83.09%和0.86,仅基于GF-1光谱和纹理信息的分类准确率、错误率、精确率、召回率和F1分数分别为94.72%、5.28%、73.09%、84.61%和0.78,添加时序信息分类结果总体优于未添加时序信息的分类结果。表明高空间分辨率结合高频率时序遥感数据是提高茶园分类精度的有效手段。     

高寒牧区黑麦和箭筈豌豆混播对草产量和营养品质的影响研究

为筛选适宜甘肃高寒牧区的箭筈豌豆与黑麦混播组合及比例，采用裂区设计，研究了3个箭筈豌豆品种（绿箭1号、绿箭2号和绿箭431）与黑麦新品系C33在不同混播比例（0∶100、20∶80、30∶70、40∶60、50∶50、60∶40、70∶30、80∶20、100∶0）下的生产性能及营养品质。结果表明，从混播组合看，A?（C33×绿箭1号）的平均干草产量（7.16 t·hm^-2）和综合评价值（0.860）较高；从混播比例看，B?（60∶40）的平均干草产量（8.01 t·hm^-2）和综合评价值（0.691）最高；混播组合和混播比例间的交互作用表明，A?以B?比例混播时干草产量（9.03 t·hm^-2）和综合评价值（0.711）最高。     

新一轮退耕还林问题与对策——以江西省赣州市为例

通过实地调研与分析,从赣州市新一轮退耕还林实施过程中面临的用地难、农户退耕积极性不高、投入不足等实际问题出发,针对性地提出相应的对策与建议,从而为今后赣州市新一轮退耕还林工作的顺利开展提供参考依据。