基于SEPLS模型的GIAHS恢复力评估框架及其在保护成效评估中的应用

由联合国粮农组织认定的全球重要农业文化遗产(GIAHS)是一类典型的社会生态生产景观(SEPLS),在传统知识传承保护、粮食与食物安全保障、农业生物多样性保护、气候变化应对等诸多方面具有重要意义。为了更好、更有效地开展GIAHS保护及管理工作,本文在分析GIAHS评估重要性和恢复力概念的基础上,以联合国大学(UNU)等团队开发的社会生态生产景观恢复力评估框架(SEPLS模型)为基础,构建了GIAHS恢复力评估框架(GIAHS-RAF),明确了其评估及计算过程。并以中国第1个GIAHS项目——浙江青田稻鱼共生系统(Qingtian Rice-Fish Culture System in Zhejiang Province, RFC)为例,通过对核心保护区——龙现村在2004年(GIAHS项目授牌前)和2016年(GIAHS授牌11年)的恢复力状况进行评估,探讨模型在GIAHS保护成效评估中的适用性。研究结果显示:1)2016年龙现村恢复力整体状况相对较弱,各项资本评估得分为:物质资本(0.75)经济资本(0.63)人类资本(0.61)社会资本(0.57)自然资本(0.38);2)虽然农户收入来源多样且社会经济基础设施能较好地满足社区需求,但是遗产地内部农业物种较少,农户对于系统提供的粮食多样性尚不是非常满意; 3)相较于2004年,经过11年的保护工作,研究区恢复力有所提高,说明GIAHS项目的实施对该遗产的恢复力有积极影响,尤其是物质资本和经济资本两方面。评估结果与该区域相关研究结果及实地调查情况一致,说明所构建的GIAHS恢复力评估框架可以很好地应用于对GIAHS项目及其他相关农业文化遗产的保护成效评估工作。     

黑土区施加生物炭对土壤综合肥力与大豆生长的影响

为探明黑土区施加生物炭对土壤持水性能、土壤养分以及大豆生长的影响,以东北黑土区3°坡耕地田间径流小区为研究对象,进行为期4年的观测。按照生物炭施加量,2015年共设置C0(0 t/hm~2)、C25(25 t/hm~2)、C50(50 t/hm~2)、C75(75 t/hm~2)、C100(100 t/hm~2) 5个处理,2016—2018年分别连续施加等量的生物炭。结果表明:连续4年,0～60 cm土层土壤储水量随施炭量的增加呈先增大、后减小的趋势,而对60～100 cm土层土壤储水量影响不显著;连续4年,饱和含水率随施炭量的增加呈逐渐增大的趋势; 2015年田间持水率、凋萎系数随施炭量的增加呈逐渐增大趋势,2016—2018年呈先增加、后减小趋势;连续4年,施加生物炭提高了大豆各生育阶段的株高和叶面积,同期相对较优处理分别为C75、C50、C50、C25;连续4年,大豆冠层覆盖度与施炭量呈抛物线变化(R~2均在0. 89以上,P 0. 01),连续施加2年的C50处理各生育期提高量最大,与C0相比提高了81. 4%、36. 7%、31. 5%和39. 6%;连续4年,土壤pH值和有机质、速效钾含量随施炭量的增加呈逐渐升高趋势,碱解氮、有效磷含量呈先升高、后降低趋势,相对较优处理为C50、C50、C25、C25。采用改进的内梅罗指数模型计算的土壤综合肥力指数与产量呈正相关(R~2=0. 861 5,P=0. 001 2,RMSE为0. 75),土壤综合肥力水平最高的生物炭施用模式为连续2年施加50 t/hm~2的生物炭。     

国家中心城市基础设施承载力评价及障碍因素诊断

[目的]定量分析国家中心城市2006—2017年基础设施承载力的具体情况,为促进国家中心城市建设良性健康发展提供科学依据。[方法]选取2006—2017年国家中心城市基础设施承载力面板数据,从压力和状态两个层面构建城市基础设施承载力评价指标体系。运用熵权TOPSIS方法和障碍度模型对2006—2017年国家中心城市基础设施承载力和障碍因素进行评价和诊断,并基于基础设施承载力评价结果,定量测度基础设施承载力状况并诊断其障碍因子。[结果] 2006—2010年国家中心城市的基础设施承载力水平总体上大幅度提升,2011—2017年基础设施承载力的增长速度有所减缓,北京、上海、成都、郑州、西安的基础设施承载力大幅度提高,广州市的基础设施承载力改善幅度最小;随着国家中心城市的人口持续增加,基础设施的承载压力也持续增加,通过障碍度模型分析发现制约国家中心城市基础设施承载力的主要因素为人均绿地面积、人均家庭年生活用水量和城市移动电话普及率。[结论]随着中国经济的发展,中心城市对人口的虹吸作用越加强烈,人均绿地面积、城市移动电话普及率以及人均家庭年生活用水量可能与城市的经济与人口规模产生脱钩现象,无法满足人们日常的基础设施需求。     

Performance of DSSAT-Nwheat across a wide range of current and future growing conditions

Crop models are widely used in agricultural impact studies. However, many studies have reported large uncertainties from single-model-based simulation analyses, suggesting the need for multi-model simulation capabilities. In this study, the APSIM-Nwheat model was integrated into the Decision Support System for Agro-technology (DSSAT), which already includes two wheat models, to create multi-model simulation capabilities for wheat cropping systems analysis. The new model in DSSAT (DSSAT-Nwheat) was evaluated using more than 1000 observations from field experiments of 65 treatments, which included a wide range of nitrogen fertilizer applications, water supply (irrigation and rainout shelter), planting dates, elevated atmospheric CO₂ concentrations, temperature variations, cultivars, and soil types in diverse climatic regions that represented the main wheat growing areas of the world.DSSAT-Nwheat reproduced the observed grain yields well with an overall root mean square deviation (RMSD) of 0.89 t/ha (13%). Nitrogen applications, water supply, and planting dates had large effects on observed biomass and grain yields, and the model reproduced these crop responses well. Crop total biomass and nitrogen uptake were reproduced well despite relatively poor simulations of observed leaf area measurements during the growing season. The low sensitivity of biomass simulations to poor simulations of leaf area index (LAI) were due to little changes in intercepted solar radiation at LAI >3 and water and nitrogen stress often limiting photosynthesis and growth rather than light interception at low LAI.The responses of DSSAT-Nwheat to temperature variations and elevated atmospheric CO₂ concentrations were close to observed responses. When compared with the two other DSSAT-wheat models (CERES and CROPSIM), these responses were similar, except for the responses to hot environments, due to different approaches in modeling heat stress effects.The comprehensive evaluation of the DSSAT-Nwheat model with field measurements, including a comparison with two other DSSAT-wheat models, created a multi-model simulation platform that allows the quantification of model uncertainties in wheat impact assessments.     

南方双季稻区小行距插秧机的改进设计与试验

针对300mm行距插秧机在南方双季稻区栽插行距过大、穴数过少及不能充分发挥机插稻的增产潜力问题,在300mm行距插秧机结构的基础上,通过机械优化设计和田间农艺技术相结合的方法,对其插植部箱体、苗箱、支架(包括左右支架和中间支架)和浮板4个关键部位技术参数改进设计,研制出了适合南方双季稻区作业的2ZS-488B型(264mm行距)插秧机,并于2012-2013年在江西省2个试验点进行不同早晚稻品种机插行距的大田对比试验。结果表明:该插秧机作业性能稳定,漂秧率、伤秧率和漏插率分别为1.55%、2.68%和1.93%,相对均匀度合格率为89.54%。与300mm行距插秧机相比,其产量平均增产529.43kg/hm2,平均增产率达8.57%。该研究结果创新了南方双季稻区新的机械化栽插方式,有利于农机农艺的有效融合。     

几种利用乳中尿素氮浓度估测尿氮排泄量模型的评价

本文利用34组国内外报道的荷斯坦牛乳中尿素氮浓度和尿氮排泄量的实测数据，对目前提出的部分利用MUN估测尿氮排泄量的模型进行了比较。结果表明，Zhai（2005）提出的模型[UN（g/d）：10．1×MUN（mg／dL）＋47.3]预测效果较好（P〉0．05）。划分MUN浓度范围分别建立模型可能会提高预测的准确度。此外，根据34组数据做简单回归：UN（g/d）=12．78×MUN（mg/d1）＋28．15（n=34，R2=0．59）。     

人居环境视角下居民垃圾分类意愿实证研究及政策建议——基于河南省郑州、洛阳、商丘和漯河四地市的调研

基于河南省人居环境现状,分别对郑州、洛阳、商丘和漯河四地市进行了实地调研,通过建立二元Logistic模型,分析了影响居民垃圾分类意愿高低的因素。结果表明:文化程度、经济发展、政策支持对提高居民垃圾分类意愿具有较强的正相关影响,而居民人居环境满意度对提高垃圾分类意愿具有负相关影响;女性相比男性的垃圾分类意愿更高,城市居民相比农村居民的垃圾分类意愿更高。基于此结论,从政府和社会两个方面分别提出了相关建议,以供参考。     

APSIM模型对宁夏海原地区草田轮作系统的适应性

为验证APSIM模型对宁夏海原地区草田轮作系统的适用性,基于10年生苜蓿(Medicago sativa)与小麦(Triticum aestivum)、谷子(Oryza sativa)草田轮作试验数据和同期气象资料,运用APSIM模型对系统进行了模拟。通过试错法和文献记载完成了苜蓿、小麦和谷子几个品种的参数本地化。用统计和图形校验方法评价了APSIM模型模拟结果的可靠性和准确性。结果表明,谷子-小麦-小麦(MWW)、小麦-谷子-小麦(WMW)、谷子-谷子-小麦(MMW)、谷子-小麦-谷子(MWM)、小麦-谷子-谷子(WMM)、小麦-小麦-谷子(WWM)6种轮作方式下产量实测值和模拟值的决定系数R2值范围在0.83至0.98之间,D值范围在0.94至0.99之间,表现出了良好的相关性和一致性。土壤含水量实测值和模拟值的决定系数R2值范围在0.52至1之间,D值范围在0.92至0.97之间,相关性和一致性表现良好。表明APSIM模型对宁夏海原地区苜蓿与小麦、谷子轮作具有较好的模拟能力,可以用来模拟分析该地区草田轮作系统生产潜力和土壤水分动态,对该地区气候变化影响下草田轮作的优化管理具有一定指导意义。     

Antioxidant,anti-amylase and anti-glycation potential of brans of some Sri Lankan traditional and improved rice (Oryza sativa L.) varieties

Brans of 23 traditional and 12 improved (both red and white) rice varieties in Sri Lanka were screened for anti-amylase and anti-glycation activities in vitro. Varieties which showed the highest inhibitory activities at screening were further investigated for anti-glucosidase and glycation reversing as anti-diabetic properties. The same varieties were studied for selected antioxidant properties. Significantly high anti-amylase and anti-glycation activities were observed for bran extracts of red varieties compared to white varieties at screening. Traditional red rice varieties, Masuran, Sudu Heeneti, Dik Wee and Goda Heeneti, exhibited significant and dose dependent anti-amylase, anti-glycation and glycation reversing activities. These varieties also showed marked antioxidant properties. It is concluded that brans of Sri Lankan traditional red rice varieties Masuran, Sudu Heeneti, Dik Wee and Goda Heeneti may be potential food supplements for diabetes.     

Distribution Network Structure Planning Based on Improved Immune Genetic Algorithm

Distribution Network Structure planning is a complex combinatorial optimization problem,which is difficult to solve properly by using traditional optimization methods.In order to solve this problem,Improved Immune Genetic Algorithm is introduced to the distribution network optimal planning. Improved Immune Genetic Algorithm draws into the immune diversity and antibody's density mechanism to maintain the individual's diversity and remains evolution algorithm's global stochastic searching ability,so it can promote diversity and the whole optimal-searching ability of genetic algorithm.The optimal module takes the minimum annual cost as its object,and the capacity and voltage drop of feeder and the radiation of distribution network as its restrictions.According to the require of radiation of distribution network,the spanning tree of the alternative network is taken as the initial solution to speed up the calculation.And the branch-exchange method is used in designing crossover operator and mutation operator to avoid the radiation checking and enhance the optimizing ability.This algorithm has been illustrated effectively by examples,at the same time,the calculation example demonstrates that,the algorithm has higher calculation speed than the traditional immune genetic algorithm.