渭河流域生态功能区划

以渭河流域为研究对象,根据流域生态环境现状,建立合理的指标体系,结合GIS与RS技术对研究区进行区划,并针对各功能区的主导生态功能或主要生态问题制定相应生态环境保护与建设重点。结果表明:渭河流域可被划分为7个生态功能区:①防旱抗旱区;②农业种植区;③牧业发展区;④水源涵养区;⑤防风固沙区;⑥植被保护区;⑦土壤侵蚀控制区。本研究为区域有效开发利用资源,合理制定生态环境保护措施提供科学依据。     

影响安吉白茶产量与品质的灾害性天气分型及分析研究

气象条件是影响茶树生长发育的主要环境条件,年际间气候条件特别是早春气候条件的差异,对安吉白茶的开采和产量波动较大。利用安吉2006—2017年白茶生长期调查资料以及相应时段的气候资料,对影响安吉白茶生长、产量与品质的灾害性天气过程进行分型研究,归纳出3种高影响天气类型,分别为冷空气影响型,强对流大风影响型,温度先低后高型,并对3种天气类型分别选1个典型天气过程个例,重点从天气形势、气候条件、灾情调查等方面,分析对白茶生产、品质造成的影响。结果表明:冬末春初的冷空气强度、影响时间以及影响方式等对安吉白茶的生长、产量及品质有重要的作用;选取上游安徽的阜阳站作为冷空气指标站,对本地冷空气强度预报有12 h的提前量,依据该指标可以及时发布预警信息,指导茶农合理安排生产,减少损失;针对不同的天气类型,给出了相应的防御措施。该结果可为茶农合理安排生产和适时采摘提供指导,同时也为农业气象科技人员进一步提高气象服务的针对性和专业性提供技术支撑和依据。     

Habitat specialization and sensitivity to change in a threatened crayfish occupying upland streams

1. Crayfish are culturally and ecologically important species in freshwater ecosystems, but many are now threatened with extinction, due to threats such as habitat loss. Depending on their habitat selectivity and sensitivity, freshwater crayfish could provide effective targets for stream monitoring, restoration and conservation. This study used repeated field surveys of the threatened Murray crayfish, Euastacus armatus (family Parastacidae), to establish their habitat preferences and sensitivity to habitat loss across mesohabitat and microhabitat scales within upland streams of south‐east Australia. 2. Selectivity analysis revealed that upland populations of E. armatus displayed a strong preference for areas of intermediate water flow velocity, deeper water, and stream beds dominated by boulders and gravel. Variations in E. armatus density among and within the two upland streams aligned with these microhabitat preferences, with best‐subsets analyses revealing that E. armatus abundance hotspots were best predicted by models combining water depth with percentage cover of boulders, gravel and overhanging riparian vegetation. 3. Major shifts in stream habitat condition from 2009 to 2015 (e.g. 32% and 50% decline in boulder and overhanging vegetation cover, respectively) was associated with a 91% decline in E. armatus mean density within glide‐pool mesohabitats. 4. These findings highlight how habitat specialization in threatened crayfish such as E. armatus may render them sensitive to changes in stream habitat condition, and how targeted monitoring, restoration and conservation of their preferred habitats could yield multiple benefits for montane freshwater ecosystems. Copyright © 2016 John Wiley & Sons, Ltd.     

基于不同地表曲面模型预测土壤有机碳含量

Local terrain attributes,which are derived directly from the digital elevation model,have been widely applied in digital soil mapping.This study aimed to evaluate the mapping accuracy of soil organic carbon (SOC) concentration in 2 zones of the Heihe River in China,by combining prediction methods with local terrain attributes derived from different polynomial models.The prediction accuracy was used as a benchmark for those who may be more concerned with how accurately the variability of soil properties is modeled in practice,rather than how morphometric variables and their geomorphologic interpretations are understood and calculated.In this study,2 neighborhood types (square and circular) and 6 representative algorithms (Evans-Young,Horn,Zevenbergen-Thorne,Shary,Shi,and Florinsky algorithms) were applied.In general,35 combinations of first-and second-order derivatives were produced as candidate predictors for soil mapping using two mapping methods (i.e.,kriging with an external drift and geographically weighted regression).The results showed that appropriate local terrain attribute algorithms could better capture the spatial variation of SOC concentration in a region where soil properties are strongly influenced by the topography.Among the different combinations of first-and second-order derivatives used,there was a best combination with a more accurate estimate.For different prediction methods,the relative improvement in the two zones varied between 0.30％ and 9.68％.The SOC maps resulting from the higher-order algorithms (Zevenbergen-Thorne and Florinsky) yielded less interpolation errors.Therefore,it was concluded that the performance of predictive methods,which incorporated auxiliary variables,could be improved by attempting different terrain analysis algorithms.     

Soil quality indicators in Vertisols under sugarcane

Maintaining or improving soil quality is crucial for agricultural productivity. This study was undertaken on the north coast of Cuba with the objective to select soil quality indicators to characterise Vertisols. For the selection of soil quality indicators, we have conducted four field experiments where organic fertilisers (sugarcane filter cake, compost) and natural minerals (dolomite, zeolite) were applied. Sugarcane (Saccharum officinarum L.) was used in all experiments. Soil properties were determined such as the amount of water-stable aggregates, permeability, plastic limit, pH in water, pH in KCl, organic matter, P₂O₅ and K₂O. The sugarcane yield components such as cane yield (t ha^?1) and sucrose yield (t ha^?1) were evaluated. Principal components analysis and simple regression analysis were also performed. Both organic matter and water-stable aggregates were closely related to cane yield, with r values of 0.87–0.97. The properties with best responses to treatments over time were permeability, water-stable aggregates, degree of soil aggregation and organic matter; therefore, they can be considered as soil quality indicators for the studied Vertisols.     

四川省土壤温度状况空间分布特征

土壤温度状况(STR)在现代土壤系统分类中是确定土壤分类单元的重要诊断特性。利用四川省160个气象站点的多年年均和月均地面气候资料与数字高程模型数据,分析不同气象因子与地形因素对土壤温度(土温)的影响,然后以显著影响的因子为辅助变量,采用回归克里格法预测四川省STR的空间分布,依据中国土壤系统分类高级与基层分类划分标准中有关STR的定量诊断指标,对四川省STR及其空间分布特征进行分析。结果表明,气温、经度、纬度与海拔对土温有显著影响,在高级分类划分标准下,四川省STR以热性、温性、寒性为主,部分区域为永冻、冷性、高热;在基层分类划分标准下,四川省STR以热性、温性、冷性为主,部分地区为高寒性、近寒性、亚寒性、高热性。四川省STR分析为四川土壤系统分类与土壤资源的合理利用提供了科学依据。     

不同载畜率下短花针茅草原土壤水分空间异质性的分析

以短花针茅(Stipa breviflora)草原为研究对象,采用经典统计学和地统计学的方法对不同载畜率样地(不放牧、轻度放牧、中度放牧和重度放牧)的土壤水分进行描述性统计、半变异函数及空间插值分析,旨在研究载畜率对荒漠草原土壤水分空间异质性的影响。结果表明,01)各处理的土壤含水量均随载畜率的增大而逐渐升高,各处理的变异系数(CV)在7.29%~9.79%,均呈弱变异性。2)半变异函数分析显示各处理的土壤水分含量均呈指数模型,不放牧的结构比为74.4%,属于中等程度变异。轻度、中度、重度放牧处理的结构比分别为94.4%、91.2%和96.0%,具有强烈的空间自相关性;3)利用克里格插值法对各样地的未知采样点进行插值分析,发现重度放牧处理土壤水分的空间变异程度最大,不放牧处理土壤水分的空间变异程度最低。所以,载畜率对土壤水分的空间分布有明显的影响。     

母猪热应激敏感指标体系的研究进展

母猪由于其皮下脂肪厚、汗腺不发达等特点,在高温环境下容易发生热应激。有研究表明：热应激会改变其生理状态和血液生化成分等,降低母猪繁殖力,造成严重的经济损失。然而,目前针对母猪热应激敏感指标的研究总体较粗略、评价体系不全面;而且,母猪的耐热性受遗传、年龄和日粮等多种因素的影响,使得准确评价母猪热应激状态比较困难,成为制约母猪适宜环境参数研究的重要因素。笔者在系统总结母猪热应激研究的基础上,从表型、生理、生化、分子等不同层次探讨了相关指标对热应激的敏感程度及其作为母猪热应激评价指标的可行性,以期为生产中母猪热应激诊断及环境参数的优化奠定基础。总结发现：母猪热应激敏感指标有表皮温度、呼吸频率、直肠温度、血液和肝脏热休克蛋白70（HSP70）等;比较敏感的指标有：血中皮质醇（COR）、天门冬氨酸转移酶（AST）、丙氨酸转移酶(ALT)、肌酸激酶（CK）和乳酸脱氢酶（LDH）。其他指标如血清蛋白、血糖、血液免疫细胞、K ⁺、Na ⁺等随母猪热应激也有所变化,可作为辅助参考指标。其中,表皮温度、呼吸频率、直肠温度和HSP70水平可作为评价母猪长期热应激的指标。此外,尽管母猪热应激造成的行为变化相对滞后,但其测定成本低、对动物无应激,仍然具有一定价值。     

海参加工业清洁生产评价指标体系的构建

海参加工业是我国北方重要的水产品加工行业之一。近年来,随着市场需求的不断增大,海参加工产品产量逐年增加,海参加工业面临的环境问题日益凸显。为了促进我国海参加工业的清洁生产,保证产业的可持续发展,本研究基于我国清洁生产技术体系及海参加工行业的特点,构建了由生产工艺及装备等6个一级指标和加工工艺等24个二级指标组成的海参加工业清洁生产评价指标体系,并选择两家案例企业进行清洁生产水平的评价。研究结果表明,案例企业的清洁生产水平均为Ⅱ级:国内清洁生产先进水平;通过案例分析结果与企业生产现状的对比,证明本指标体系具有一定的科学性、可操作性和适用性。根据评价结果对两家案例企业提出了改变能源类型、提高废弃物资源利用率的清洁生产改进措施,为我国水产品加工行业的清洁生产提供了借鉴与参考。