Most fish destined for fishmeal production are food‐grade fish

Marine fisheries target and catch fish both for direct human consumption (DHC) as well as for fishmeal and fish oil, and other products. We derived the fractions used for each for 1950–2010 by fishing country, and thus provide a factual foundation for discussions of the optimal use of fisheries resources. From 1950 to 2010, 27% (~20 million tonnes annually) of globally reconstructed marine fisheries landings were destined for uses other than DHC. Importantly, 90% of fish destined for uses other than DHC are food‐grade or prime food‐grade fish, while fish without a ready market for DHC make up a much smaller proportion. These findings have implications for how we are using fish to feed ourselves or, more appropriately, how we are not using fish to feed ourselves.     

刍议乡村振兴与乡村生活重建间的关系

党的第十九大报告曾提出，实施乡村振兴战略，为新时期乡村建设提供了方向。乡村振兴不 仅包含农村产业振兴，也包括乡村生活的重建。本文对乡村振兴与乡村生活重建进行分析。我国自 古以来就是一个农业大国，所以建设美丽乡村离不开对乡村生活的建设。     

黄河未来输沙量态势及其适用性对策

[目的] 探索黄河输沙预测的新思路，预估黄河未来输沙态势与输沙量水平，为黄河流域生态治理规划提供参考。[方法] 结合黄河流域水土保持生态修复现状，采用单累积曲线法、滑动平均及频率分析方法，分析1950—2019年黄河主要来沙区间的实测输沙量变化特征及其未来态势。[结果] 1950—2019年黄河输沙量呈现阶梯式减少。1950—2019年黄河中游各站累积实测输沙量随时间的变化可用“左半抛物线”表征。黄河输沙量自1997年以来已进入相对稳定态势，目前已达企稳状态；黄河潼关站未来年输沙量在90%频率下为1.00×10⁸ t左右，在10%频率下为5.00×10⁸ t左右，未来多年平均输沙量为1.40×10⁸ t。[结论] 为了维持黄河输沙量低稳状态，提升水土保持措施质量与标准，补齐“后水土保持”短板，构建完善的水沙关系调控体系，维持黄河下游河道冲淤平衡，是黄河流域生态保护与高质量发展的保障。     

Alpha-shape算法构建枣树点云三维模型

为了实现枣树智能化修剪作业，该研究提出了基于点云配准的自然光照环境下的果树三维重构方法，并针对传统最近点迭代（Iterative Closest Point，ICP）算法对待配准点云的空间位置要求苛刻的问题，提出了改进的点云配准算法。首先，使用彩色深度（RGB-D）相机采集不同角度下的枣树彩色和深度图像，并通过信息融合实现相应角度下的点云获取。其次，对点云进行背景去除和滤波处理，基于直方图设定分割阈值，提取单株枣树点云，并将放置在树根附近的标靶球作为标记，使用人工标记法进行两站点云初配准。最后，在初配准基础上计算点云的曲面法向量和曲率，由曲率相近的点构成配对点对，使用k维树最近点迭代（k dimensional-tree-Iterative Closest Point，kd-tree-ICP）算法完成精配准，对点云使用Alpha-shape算法面片化，实现表面重构。利用上述方法对多棵枣树进行全局配准并完整重构果树模型。试验结果表明，通过引入初配准，有效提高了点云配准的准确性和稳定性，配准误差均控制在1.0 cm以内，平均配准误差为0.78 cm；重构模型真实感较强，在外观上更加接近真实树，枝干相对误差控制在7%以内。该研究重构模型精度较高，可为枣树智能修剪提供可视化研究基础和技术支持。     

城镇化发展中的小城镇特色建设问题研究

集中发展小城镇是我国城镇化发展的一个重要选择。当前我国小城镇特色建设面临着特色挖掘不突出、特色彰显能力弱、基础设施公共服务功能弱、创新精神不足以及缺乏活力等问题。小城镇特色建设必须坚持以适合人民生活为宗旨，以大中城市周边合理布局为基础并注重乡土重建，充分发挥原住民在小城镇特色挖掘上的主体作用，注重通过创新精神去激活发展动力，在保护和开发并重的前提下发挥政府搭建平台、城镇居民共同参与、开发资本“走进来”的三方协同作用来加强小城镇特色建设。     

Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.     

常州市城镇化对工业废水排放量的影响——以江苏省常州市为例

基于熵值法对常州市城市化水平进行评估,以2005~2014年数据为基础观察当地工业废水排放量变化趋势,运用灰色关联分析法研究城镇化对常州工业废水排放量的具体影响。结果表明:经济、人口和社会城镇化是影响工业废水排放量的主要因素;第二产业在工业中占据的比例是影响工业废水排放量的最主要的指标;城镇化的发展对工业废水排放量的影响处于减小趋势。     

采煤沉陷区苦草的生物学特性及其竞争机制

采煤活动所致的动态沉陷湿地具有动态性、高潜水位和生态脆弱性等特点,探明此类人工重构湿地的水生植物群落的生物学特性及其竞争机制,有助于为采煤沉陷区湿地水生植物群落修复提供科学依据.本研究以淮南潘集区人工构建的苦草群落(Ass.Vallisneria natans)为倒,采用样方调查法,研究苦草的生物学特性及其与其他水生植物的竞争机制.结果表明,1)沉陷区苦草的生物学特性与浅水湖泊较一致.主要表现在苦草的繁殖方式、传粉方式、生活史方面,但研究区苦草以有性繁殖为主.2)沉陷区苦草能与以种子萌发形成的水烛群丛(Ass.Typha angustifolia)共生,但生物量低;在与形成两年以上的水烛群丛竞争中处于劣势,在水烛群丛盖度达到90％时苦草逐渐消失.3)沉陷区苦草在与浮叶植物莕菜群丛(Ass.Nymphoides peltatum)、苹群丛(Ass.Marsilea quadrifolia)竞争中处于弱势,其盖度、株高、生物量等指标都明显下降.4)沉陷区苦草在与沉水植物竹叶眼子菜群丛(Ass.Potamogeton malaianus)竞争中处于劣势,苦草与沉水植物黑藻群丛(Ass.Hydrilla verticillata)、狐尾藻群丛(Ass.Myrioph yllum verticillatum)、大茨藻群丛(Ass.Najas marina)、金鱼藻群丛(Ass.Ceratophyllum demersum)占据不同水层空间,种间竞争不强烈,能较好地共存.总之,苦草较之于相似生长型的植物具有较明显的竞争优势,对于具有不同生活型,尤其是挺水植物和浮叶植物,处于竞争劣势.     

湘潭市能源的生态足迹及森林固碳减排效应的分析

生态足迹作为可持续发展定量研究的一种新方法,具有简明而综合的特点。采用生态足迹成分法对湘潭市2003年能源的生态足迹进行了计算,并对湘潭市2003年CO2排放量及森林固碳减排效应进行了分析。结果表明:2003年湘潭市人均能源生态足迹为0.653 hm2,实有人均能源生态足迹为0.077 hm2,人均能源生态足迹赤字为0.576hm2;2003年湘潭市CO2排放量为1 186.42万t,现有森林CO2年吸收量为140.25万t。通过扩大森林面积和提高森林生产力,每年可多吸收74.27万t CO2,实现减排6.26%。