图书馆数字资源的馆藏保存与服务策略思考

[目的/意义]科技文献资源保存已纳入多个国家图书馆的战略规划,中国图书馆仍缺少对数字资源本地保存及服务方法,亟待明确其中的关键问题并建立工作策略。[方法/过程]针对当前国际知识产权形势以及机构对数字资源资产管理新要求,调研国内外文献保障机构的数字资源本地保存现状,梳理图书馆数字资源实现馆藏保存与服务中的关键问题,进而提出中国图书馆数字资源本地保存及服务方式。[结果/结论]数字资源本地保存涉及到知识产权保护、图书馆服务方式、保存工作持续性等问题,有必要从数字资源馆藏体系建设的角度,确定数字资源馆藏保护、本地保存、自主可控的原则,以国家协议、电子资源采购条款约定保存权益、国际合作、数字呈缴等方法来获取数字资源馆藏内容、服务权益,通过技术架构支持数字资源的“在线、近线、离线”服务策略。     

Soil quality assessments in integrated crop–livestock–forest systems: A review

Integrated crop–livestock–forest is a promising strategy to improve soil quality. It comprises four different integrated farming systems: crop–livestock, crop–forest, forest–livestock and crop–livestock–forest. This work systematically reviewed studies about integrated crop–livestock–forest systems and soil quality. A total of 92 papers were retrieved from the Web of Science—Clarivate Analytics platform, and the following information was analysed: publication year, institution, region of the studied site, type of integrated system, soil type, tillage system, maximum soil depth and the soil quality indicators assessed. Most studies were published in the second half of the 2010s. Brazil is a prominent focus of research about soil quality and integrated crop–livestock–forest systems, with significant contribution from its central and southern regions. The Embrapa was the main publishing institution, present in over one‐third of the studies. Crop–livestock was the most common integrated system, Ferralsols was the most common soil group, and most of the studied soils were clayey. No tillage was the main tillage system. Most studies focused on the topsoil, assessing physical and/or chemical soil quality indicators. More emphasis on biological indicators of soil quality is required, as well as assessments integrating biological, physical and chemical indicators of soil quality. Future works should compare different integrated systems, including assessments deeper in the soil profile, especially in systems with the forest component, and also in sandy and silty soils. Soil quality indicators that have been rarely used should be further tested. Novel indicators should be added to better understand the promotion of soil quality by integrated crop–livestock–forest systems.     

Investigation of environmental and land use impacts in forested permafrost headwaters of the Selenga-Baikal river system,Mongolia - Effects on discharge,water quality and macroinvertebrate diversity

Headwater streams play a major role for provision of ecosystem services, e.g. drinking water. We investigated a high-altitude headwater catchment of the Kharaa River (including 41 1st-order rivers) to understand the impact of land cover (especially forest cover), environment and human usage on runoff, chemical water quality and macroinvertebrate fauna in a river basin under discontinuous permafrost conditions in an arid, sparsely populated region of Mongolia. To verify our hypotheses that different landuses and environmental impacts in permafrost headwaters influence water quality, we investigated 105 sampling sites, 37 of them at intermittent stream sections without water flow. Discharge was positively impacted by land cover types steppe, grassland and forest and negatively by shrubland, forest burnt by wild fires (indicating a reduction of permafrost) and slope. Water quality was affected by altitude, longitude and latitude, shrub growth and water temperature. Shannon diversity of macroinvertebrates was driven by water temperature, iron content of the water, flow velocity, and subbasin size (adjusted R² = 0.54). Sample plots clustered in three groups that differed in water chemistry, macroinvertebrate diversity, species composition and bio-indicators. Our study confirms that steppes and grasslands have a higher contribution to runoff than forests, forest cover has a positive impact on water quality, and diversity of macroinvertebrates is higher in sites with less nutrients and pollutants. The excellent ecological status of the upper reaches of the Kharaa is severely threatened by forest fires and human-induced climate change and urgently needs to be conserved.     

2019年汛期"利奇马"超强台风对沈北新区的影响

沈北新区2019年8月11—15日受到“利奇马”超强台风的影响,分析台风的过程和沈北新区的地理条件,从地理与农作物两方面用实例数据与计算比较说明受到影响的严重性,并对超强台风的应对进行了拟定。     

柯桥区茶叶气候风险区划

本文研究了茶叶种植区的主要气象灾害,为各种植区提供不同类型的精细化气象服务做准备。利用浙江省区域气象自动站2004—2016年的数据、地理信息数据,对柯桥区茶叶气象灾害风险进行评估,并在此基础上划分气候风险区划。结果发现：柯桥区南北地势不同带来了气候的明显差异,针对茶叶生长发育的需求,对柯桥区南北气候进行对比分析,发现南部虽然易发生气象灾害,但在气候适宜性综合评价上更适合茶叶生长。因此,本研究有助于为当地茶叶风险预报提供理论依据,有助于整体上优化茶叶生产布局。     

临汾市主要气象灾害变化特征分析

利用临汾市气象观测站1954—2018年气象观测资料,采用线性趋势估计、MannKendall检验等统计方法,对临汾市6种主要气象灾害的变化特征进行了研究。结果表明:暴雨、高温、雷暴主要发生在夏季,高发期均为7月,年平均发生日数分别为1.9、19.6、26.8 d;干旱、大风、雾在全年时段都有发生,干旱的高发期为秋冬季,春季为大风多发期,4月最多,雾多发生在秋冬季,11月为高发期,年平均日数分别为137.7、5.5、17.5 d。从气象灾害发生的年平均日数来看,依次为干旱>雷暴>高温>雾>大风>暴雨。近65年来,临汾市暴雨、干旱、雷暴、大风这4种气象灾害有减少趋势,其中雷暴、大风减少趋势明显,而高温、雾则明显增加。     

农村金融深化促进了农村产业融合发展吗?——基于区域差异视角的实证分析

在当前全社会高度重视金融服务乡村振兴的背景下,厘清农村金融深化对农村产业融合发展的影响至关重要。基于金融深化理论,利用2008—2017年中国省际面板数据,在测算农村产业融合发展水平和农村金融深化程度的基础上,采用FGLS方法和SYS-GMM方法,系统考察了农村金融深化对中国农村产业融合发展的影响及其区域差异。结果表明,农村金融深化程度和农村产业融合发展水平由2008年的1.029 5和1.039 3上升到2017年的2.717 4和2.604 8,年均增长率分别为11.39%和10.75%。农村金融深化显著促进了中国农村产业融合发展水平的提升,且这种影响存在明显的区域差异,相比于中西部地区,农村金融深化对农村产业融合发展的提升作用在东部地区更加显著。运用面板门槛模型检验发现,地区之间农村金融深化程度、农村人力资本水平和交通基础设施水平的不同,是造成农村金融深化对农村产业融合发展的影响存在区域差异的重要原因。因此,提出不断增加农村产业融合发展的金融供给,因地制宜实施农村产业融合发展的促进政策等建议。     

京津冀潮白河区域土地利用变化对生态系统服务的影响

为探讨京津冀潮白河区域不同时期内的土地利用变化和生态系统服务（ES）的动态演变情况，采用土地利用动态度模型、当量因子法、敏感性指数法，分析该区域2001、2005、2009、2013年和2017年近20年来的土地利用数据。结果表明：在2001-2017年期间该区域耕地和农村居民点面积明显减少，城镇用地和水域面积明显增加；该区域的主要土地利用类型为耕地、农村居民点和城镇用地，且耕地和农村居民点的比例逐渐减少，城镇用地比例逐渐增大；城镇用地、工矿用地和水域的动态度呈现大幅增加趋势，农村居民点、耕地、草地和林地的动态度呈现较大幅的减少趋势。近20年来该区域的生态系统服务价值（ESV）整体上呈现增加的趋势，水域的生态系统服务价值增加对该流域生态系统服务价值变化起决定性作用。2001-2017年该区域内各地类的敏感性指数（CS）均小于1，敏感性指数从大到小依次为耕地 > 水域 > 林地 > 草地。综上，应根据该区域内土地利用变化对生态系统服务产生的影响，制定合理化政策、构建合理的土地利用格局，从而提升生态系统服务。     

Towards the sustainable intensification of agriculture—a systems approach to policy formulation

The sustainable intensification of agriculture involves providing sufficient food and other ecosystem services without going beyond the limits of the earth’s system. Here a project management approach is suggested to help guide agricultural policy to deliver these objectives. The first step is to agree measurable outcomes, integrating formal policy goals with the often much less formal and much more diverse goals of individual farmers. The second step is to assess current performance. Ideally, this will involve the use of farm-scale metrics that can feed into process models that address social and environmental domains as well as production issues that can be benchmarked and upscaled to landscape and country. Some policy goals can be delivered by supporting ad hoc interventions, while others require the redesign of the farming system. A pipeline of research, knowledge and capacity building is needed to ensure the continuous increase in farm performance. System models can help prioritise policy interventions. Formal optimization of land use is only appropriate if the policy goals are clear, and the constraints understood. In practice, the best approach may depend on the scale of action that is required, and on the amount of resource and infrastructure available to generate, implement and manage policy.