Soil protection for a sustainable future: options for a soil monitoring network for Ireland

The increased recognition of the importance of soil is reflected in the UN Post‐2015 Development Agenda with sustainable development goals that directly and indirectly relate to soil quality and protection. Despite a lack of legally binding legislation for soil protection, the European Commission remains committed to the objective of soil protection. However, the achievement of a legally binding framework for soil protection relies on the implementation of a soil monitoring network (SMN) that can detect changes to soil quality over time. As beneficiaries do not pay for the provision of soil information, the options for soil monitoring are limited. The use of existing data sets should be considered first. Using Ireland as an example, this research explored the opportunities for a SMN for Ireland considering three existing national data sets. The options for a SMN are considered in terms of their spatial and stratified distribution, the parameters to be measured and an economic analysis of the options proposed. This research finds that for Ireland, either a 10 or a 16 km² grid interval stratified by land use and drainage class offers the best potential in relation to the spatial distribution of existing data sets to reflect local data at a national level. With existing data, the stratified SIS data using the 16 km² grid offers the best value for money, with baseline costs for analysis, excluding field costs, of between €706 481 and €2.8 million. Acknowledging the impossibility of measuring all parameters with ideal frequency, this study proposes a two‐tier system for optimized monitoring frequency. Parameters must anticipate future policy requirements. Finally, the implementation of a SMN must be accompanied by standardized methods, defined thresholds and action mandates to maintain soil quality within allowable limits.     

Cohort‐specific variation in juvenile coho salmon habitat use

In this study, we examined summer and fall freshwater rearing habitat use by juvenile coho salmon (Oncorhynchus kisutch) in the quickly urbanising Big Lake drainage in south‐central Alaska. Habitat use was assessed by regressing fish count data against habitat survey information across thirty study sites using generalised linear mixed models. Habitat associations were examined by age‐0 and age‐1+ cohorts separately, providing an opportunity to compare habitat use across different juvenile coho salmon life stages during freshwater rearing. Regression results indicated that the age‐0 cohorts were strongly associated with shallow, wide stream reaches with in‐stream vegetation, whereas age‐1+ cohorts were associated with deeper stream reaches. Furthermore, associations between fork length and habitat characteristics suggest cohort‐specific habitat use patterns are distinct from those attributable to fish size. Habitat use information generated from this study is being used to guide optimal fish passage restoration planning in the Big Lake drainage. Evidence for habitat use partitioning by age cohort during freshwater juvenile rearing indicates that pooling age cohorts into a single “juvenile” stage for the purposes of watershed management may mask important habitat use dynamics.     

稻麦两熟制下秸秆还田模式的产量和经济效益分析

明确不同秸秆还田模式对小麦、水稻产量和经济效益的影响,对推广秸秆还田具有重要意义。利用稻麦复种长期田间定位试验2012-2018年的数据,分析了秸秆不还田（S0）、麦秸还田（WS）、稻秸还田（RS）和稻麦秸均还田（WRS）4种秸秆还田模式对作物产量、氮肥利用率、秸秆增产率、秸秆边际产量和秸秆农学利用率的影响。结果表明：秸秆还田均增加水稻产量,其中RS和WRS模式增产效果均显著大于WS模式;小麦产量随秸秆还田年限呈“减产-稳产-增产”的变化趋势。秸秆的周年增产率和农学利用率分别为5.65%~13.60%和0.11~0.17kg/kg。与RS模式相比,WRS模式属于秸秆过量还田,其秸秆增产效率降低。秸秆还田提高稻麦氮肥周年利用率1.67~4.01kg/kg,其中RS和WRS模式较WS模式更利于作物的氮吸收。WS、RS和WRS模式的稻田周年净收益较不还田模式分别增加1 690、4 875和4 177元/（hm²·年）,其中RS和WRS模式均显著高于WS模式。综合以上结果,麦季稻秸还田模式（RS）既可提高还田秸秆利用率,又可增加稻田净收益,推荐在稻麦两熟农田采用。     

后备公猪的科学选育与利用

后备公猪的科学选育及利用直接影响猪场制种效果和经济效益,同时也能体现规模化猪场的制种技术与水平。文章针对后备公猪选育的基本环节和操作要点,从如何选种选育、科学饲养管理、合理配种利用等方面进行系统阐述,为规模化猪场后备公猪生产提供技术指导和参考依据。     

中药外用剂型及应用

中药的应用在我国有悠久的历史,在中医理论指导下衍生出了一系列种类丰富的中药外用剂型,如:散剂、膏剂、酒剂等。随着科学技术的进步,中药外用剂型种类逐渐增多,如:栓剂、膜剂、喷雾剂等。对常用传统和当代新的中药外用剂型及其临床应用进行综述,以期为研发外用中药新制剂提供参考。     

沉淀法制备的紫杉醇白蛋白微粒包封率测定

采用沉淀法制备紫杉醇白蛋白微粒,采用高效液相色谱法(HPLC)测定紫杉醇质量浓度,以二氯甲烷为有机相,采用萃取法分离白蛋白微粒与游离药物,测定其包封率。结果表明:紫杉醇在10~100 mg·L-1范围内线性良好,平均回收率可达到97.6%~101.0%;有机溶剂萃取法测定紫杉醇白蛋白微粒包封率的平均回收率,达94.80%~101.67%。这种方法测定紫杉醇白蛋白微粒回收率准确可靠,适用于沉淀法制备的白蛋白微粒的包封率测定。     

基于CA-Markov模型的锡林河流域土地利用变化及预测分析

研究土地利用变化特征及预测未来土地利用变化的趋势，对经济平衡发展、提高生态环境质量、实现土地资源合理利用具有重要意义。以锡林河流域为研究区，对Landsat 2000、2005、2010年和2015年4期遥感数据进行目视解译，采用土地利用结构分析方法、重心迁移模型和CA-Markov模型，分析研究区16 a间土地利用演变特征，并对2030年土地利用情况进行预测。结果表明:1)2000-2015年，草地、林地和耕地呈波动变化，水域面积缓慢增加，建设用地不断扩张，未利用地面积在不断减少。建设用地、耕地和未利用地重心具有明显的方向性移动，耕地先向南后向北移动，建设用地主要向西北方向扩张，未利用土地重心持续向北移动。2)研究区综合土地利用动态度为5.70％，变化速率较快；锡林浩特市和各苏木土地利用变化速率差异较大，总体表现为中游＞下游＞上游；不同土地利用类型动态度为建设用地＞水域＞林地＞耕地＞未利用土地＞草地，即建设用地变化最快。3)研究区土地利用变化的主要方向为草地和未利用地的相互转换、耕地和草地的互相转换以及建设用地的不断扩张。4)2030年预测结果表明，耕地面积继续增加，速率有所下降，重心向西南方向移动；林地延续之前变化趋势，稳中有升；草地和未利用地面积继续减少，且未利用地重心持续向北移动；建设用地扩张明显，重心向锡林浩特市中心移动，速度减缓；水域有少量增加。CA-Markov模型与土地利用重心迁移模型相结合，实现了对未来耕地、建设用地和未利用土地的迁移方向的预测，可以为研究区提高草地退化防治效果、土地管理政策的制定和实施、城乡建设、土地利用规划等提供理论指导。     

基于宗地尺度的土地集约利用潜力评价及存量用地挖潜研究——以重庆市渝北区为例

为探究渝北区未来存量用地的挖潜方向,通过构建商服圈,并利用建筑、人口经济、交通和公共服务设施数据,从功能、强度和区位潜力3方面选取评价指标,结合层次分析法和熵权法确定其权重,计算渝北区城镇建设用地集约利用潜力,并依此识别可用于二次开发的宗地.结果表明:①渝北区划定商服圈总面积15 827.25 hm~2,因受地形、政策和城市双核心发展因素影响商服圈呈不规则形状;②用于潜力评价的宗地因城市开发过程中各类用地并存且未实现更新而未呈现同心圆模式;③渝北区可用于二次开发的城镇建设用地总面积为1 178.88 hm~2,主要布局于两路老城区南部、龙山—龙溪—龙塔街道西北部和创新经济走廊中部等区域.④渝北区公共管理与公共服务用地和商业服务业设施用地土地集约利用潜力较大,是未来改造盘活的主要用地类型.     

Grain yield,nitrogen use efficiency and tillage intensity in wheat as affected by precision nutrient management

ABSTRACT

The present studies were conducted to evaluate the effect of different nutrient management practices under two tillage options in wheat. The experiments were laid out in split-plot design with a combination of two varieties (WH 1105 and HD 2967) and two tillage options (Conventional and No tillage) in the main plot and six precision nutrient management practices [absolute control, site-specific nutrient management with Nutrient Expert for wheat (SSNM-NE)(170 kg nitrogen (N)/ha), SSNM NE+GreenSeeker (GS)(153/158 N kg/ha), N₁₂₀ (120 kg N/ha) before irrigation, N₁₂₀ after irrigation and N Rich (180 kg N/ha)] in subplot replicated thrice. The grain yield and quality characters in no tillage (NT) and conventional tillage (CT) were similar but agronomic efficiency was higher in NT. Both the varieties (WH 1105 and HD 2967) gave similar grain yield and quality. Wheat variety WH 1105 recorded significantly higher sodium dodecyl sulfate sedimentation (SDS) and gluten index. The treatment SSNM NE+GS had resulted in 107.1% higher grain yield than no nitrogen control but similar to enriched N plot (180 kg N/ha). The grain protein, SDS and gluten index in need-based nutrient management (SSNM+GS) treatment were found to be similar as recorded in SSNM-NE (170 kgN/ha) and N enriched plot (180 kg N ha^?1). The agronomic efficiency and recovery efficiency in SSNM+GS were also better than SSNM NE.     

氮肥减量后移对喷灌玉米产量和水氮利用效率的影响

【目的】优化井灌区田间水肥管理。【方法】试验于2018年6—9月在河南省许昌灌溉试验站进行,以当地主栽玉米品种登海3737(P1)和豫单9953(P2)为试验材料,设置3种施肥调控方式,分别为当地传统施肥模式CK(N、P2O5、K2O施量分别为315、75、75 kg/hm^2,全部基施),优化模式F1(N、P2O5、K2O施量分别为225、75、75kg/hm^2,40%三叶期和60%拔节期追肥),优化模式F2(N、P2O5、K2O施量分别为225、75、75kg/hm^2,30%三叶期、30%拔节期和40%大喇叭口期追肥),研究了喷灌水肥一体化下氮肥减量后移对不同品种夏玉米生长发育、产量和水分利用效率的影响。【结果】增加施肥频次和施肥时间后移可提高玉米叶面积系数(LAI)和延缓叶片衰老,增加玉米干物质累积量以及最大生长速率。喷灌水肥一体化(F1、F2处理均值)较传统施肥籽粒产量提高7.8%,耗水量降低11.9%,水分利用效率(WUE)提高22.2%,籽粒氮肥偏生产力(PFPY)提高51.1%,生物量氮肥偏生产力提高49.2%。登海3737干物质累积、最大生长速率、WUE和PFPY的均值较豫单9953分别增加2.8%、7.7%、8.5%和8.6%,最大生长速率出现的时间没有差异。豫单9953干物质积累快增期持续时间比登海3737增加5.3 d。不同品种之间产量和构成要素差异极显著。登海3737平均产量为11 319 kg/hm^2,较豫单9953增产8.4%,其中穗长、百粒质量对产量贡献较大,分别提高22.5%和18.2%。【结论】本研究中,F2处理为最佳施肥模式,即N、P2O5、K2O施量分别为225、75、75 kg/hm^2,施肥配比为30%三叶期、30%拔节期、40%大喇叭口期。