Validating a Time Series of Annual Grass Percent Cover in the Sagebrush Ecosystem

We mapped yearly (2000–2016) estimates of annual grass percent cover for much of the sagebrush ecosystem of the western United States using remotely sensed, climate, and geophysical data in regression-tree models. Annual grasses senesce and cure by early summer and then become beds of fine fuel that easily ignite and spread fire through rangeland systems. Our annual maps estimate the extent of these fuels and can serve as a tool to assist land managers and scientists in understanding the ecosystem’s response to weather variations, disturbances, and management. Validating the time series of annual maps is important for determining the usefulness of the data. To validate these maps, we compare Bureau of Land Management Assessment Inventory and Monitoring (AIM) data to mapped estimates and use a leave-one-out spatial assessment technique that is effective for validating maps that cover broad geographical extents. We hypothesize that the time series of annual maps exhibits high spatiotemporal variability because precipitation is highly variable in arid and semiarid environments where sagebrush is native, and invasive annual grasses respond to precipitation. The remotely sensed data that help drive our regression-tree model effectively measures annual grasses’ response to precipitation. The mean absolute error (MAE) rate varied depending on the validation data and technique used for comparison. The AIM plot data and our maps had substantial spatial incongruence, but despite this, the MAE rate for the assessment equaled 12.62%. The leave-one-out accuracy assessment had an MAE of 8.43%. We quantified bias, and bias was more substantial at higher percent cover. These annual maps can help management identify actions that may alleviate the current cycle of invasive grasses because it enables the assessment of the variability of annual grass ? percent cover distribution through space and time, as part of dynamic systems rather than static systems.     

Northern Bobwhite (Colinus virginianus) Space Use Minimally Affected by Oil and Gas Development

Despite the fact that the northern bobwhite (Colinus virginianus Linnaeus; hereafter, bobwhite) is one of the most well-studied and widely distributed wildlife species in North America, we know little about how bobwhite respond to oil and gas infrastructure. We investigated the impacts of oil and gas development on space use of bobwhite using a multiseason approach. We captured and monitored bobwhite in the breeding season (1 April–30 September, n = 135 individuals) and nonbreeding season (1 October–31 March, n = 30 coveys) and modeled their habitat selection in a resource-utilization function (third order, within home range selection) and resource-selection function (second order, home range selection) format. Generally, energy infrastructure effects on bobwhite were neutral, but breeding season bobwhite did select for areas near low-traffic roads (β = ? 0.31 ± 0.15 SE). In the nonbreeding season, coveys selected for areas within their home range with a limited viewshed (i.e., areas with limited visibility of anthropogenic structures; β = ? 0.03 ± 0.02 SE). Selection differed between sexes for well pads (t = ? 2.12, P = 0.04) but was otherwise similar. At the level of home range selection, bobwhite exhibited a preference for areas with a low density of oil and gas wells and a high density of low-traffic roads during both the breeding and nonbreeding seasons (breeding: β_well = ? 0.14 ± 0.02, β_road = 0.26 ± 0.27; nonbreeding: β_well = ? 0.08 ± 0.03, β_road = 0.16 ± 0.03). As a generalist species, bobwhite appear to be largely tolerant of energy infrastructure and associated disturbances at moderate levels of development but may be sensitive to high densities of oil and gas pads.     

论县级博物馆的发展现状及对策

随着物质生活水平的不断提高,人们对精神层面的追求也日益增加,蕴含浓厚历史、艺术色彩的博物馆事业的发展也就越来越受到人们的关注。然而,在经济社会迅猛发展的进程中,县级博物馆事业的发展在“免费开放”的机遇和挑战下,也日益凸显出其不适应性,不能跟上时代发展的步伐。如何丰富和提升县级博物馆的公共文化服务功能,发展壮大县级博物馆成为新一代文博人思考的问题？文章阐述了县级博物馆发展中的问题,并就下一步的发展对策进行了详细解读。     

菲和芘胁迫下AMF和PGPR对高羊茅生理生态的响应

旨在探究菲和芘胁迫下丛枝菌根真菌(AMF)与根围促生细菌(PGPR)对高羊茅生理生态的响应。以菲和芘1∶1混合处理浓度各0、50、100和150mg·kg^-1下对高羊茅接种AMF变形球囊霉(Gv)、PGPR荧光假单胞菌(Ps2-6)、Gv+Ps2-6和不接种对照共16个处理。结果表明,AMF、PGPR或AMF+PGPR处理均显著增加高羊茅生物量和菌根侵染率,增强植物光合作用,提高叶绿素含量,显著提高植物体内生理活性。在土壤中菲和芘100mg·kg^-1水平下,与对照相比,双接种Gv+Ps2-6处理的高羊茅叶片叶绿素a、b和总叶绿素含量分别提高57.7%、41.7%和51.8%;净光合速率(Pn)、蒸腾速率(Tr)、胞间CO2浓度(Ci)和气孔导度(Gs)分别增加70.6%、100.0%、4.5%和78.6%;最大光化学效率(Fv/Fm)和PSⅡ潜在活性(Fv/Fo)分别提高2.2%和8.8%;超氧化物歧化酶(SOD)、过氧化氢酶(CAT)活性、可溶性糖和脯氨酸含量分别是对照的1.6、1.5、2.3和2.7倍,丙二醛含量比对照下降46.0%;高羊茅株高和地上鲜重分别比对照增加63.0%和69.6%;接种PGPR处理能够增加AMF侵染率以及菌根依赖性。供试条件下,双接种Gv+Ps2-6处理增加高羊茅叶绿素含量和抗氧化能力,增强光合作用能力,降低膜脂过氧化水平,促进植物生长的作用最为显著。     

降水量及N添加对宁夏荒漠草原土壤C:N:P生态化学计量特征和植被群落组成的影响

为了解降水格局改变和大气氮(N)沉降增加背景下土壤碳(C)∶N∶磷(P)平衡关系的改变是否会影响到荒漠草原植被群落组成, 基于2017年在宁夏荒漠草原设立的降水量(降水量减少50%、降水量减少30%、自然降水量、降水量增加30%和降水量增加50%)、N添加(0和5 g·m^-2·yr^-1)及其交互作用的野外试验, 初步分析了土壤C∶N∶P生态化学计量特征和植物群落组成的变化趋势以及二者的关系。结果表明, 增加降水量降低了土壤有机C、全N和N∶P。N添加及其与降水量的交互作用对土壤C∶N∶P生态化学计量特征的影响较小; 适量增加降水量刺激了多数植物生长, 提高了群落多样性。过量增加降水量导致猪毛蒿种群生物量急增, 且N添加对降水量效应有促进作用, 从而降低了群落多样性; 土壤含水量、全N、有机C和N∶P与种群生物量关系较为密切, 土壤含水量、有机C、C∶P和C∶N与多样性指数存在较强的相关关系。以上结果意味着降水量会通过调控土壤水分有效性, 改变土壤与植物之间N和P的满足程度, 从而对植物生长策略和群落多样性产生影响; 短期N添加对土壤养分有效性影响较小。因此, 还需通过长期的原位试验, 对N添加及其与降水量交互作用下土壤C∶N∶P计量平衡与植物群落组成的关系进行深入探讨。     

中国奶牛养殖生产布局时空演变分析

本研究基于2001—2017年中国奶牛存栏量统计数据,运用奶牛养殖布局指数、奶牛养殖重心模型和空间自相关模型分析方法,分析中国奶牛养殖生产布局在时间和空间上的演变过程和特征。结果表明:①东北和内蒙古产区奶牛存栏量呈下降趋势,华北产区保持稳定上升,西部产区缓慢上升,南方产区和大城市周边产区呈下降趋势;内蒙古、新疆和黑龙江稳居奶牛养殖主产区的主导地位,但优势逐渐减弱,以河南为代表的新兴产区奶牛养殖发展迅速。②奶牛养殖重心呈现出先向东南方向移动再向西南方向移动的演变趋势。③省际间奶牛存栏量具有全局空间正相关性且相关性不断增强,并已在黑龙江、山西、贵州、广东、海南、云南、广西、河南、陕西、青海、吉林、辽宁和河南出现局部地理集聚现象。最后,提出促进我国奶业发展的相关建议。     

云南省瑞丽市边境地区肉牛流动管控分析

瑞丽市边境地区每年非法入境的活牛达35万头以上,货值超过15亿元。为了解云南省瑞丽市边境地区肉牛流动现状,同时为优化管理政策措施提供参考,本文概述了边境肉牛走私流动的方式和主要路线,指出了当前肉牛走私行为认定难、非法入境肉牛判定难及动物防疫工作存在监管漏洞等问题,提示应认真落实动物强制免疫制度,加强边境肉牛流动管控,严格规范产地检疫及屠宰检疫,重视法律法规的宣贯工作,以期有效遏制不法商贩走私肉牛的违法行为。     

广西动物防疫物资信息管理系统的构建与应用

为实现广西动物防疫物资的信息化管理,适时掌握广西动物防疫物资的流转状况,广西壮族自治区动物疫病预防控制中心开发了“广西壮族自治区动物防疫物资信息管理系统”。该系统为B/S架构,采用JSP技术和MySQL数据库平台。该系统建立后,广西各级动物疫病预防控制机构均可通过互联网登录,及时存储和统计动物防疫物资信息数据,全程监控和实时了解物资流转情况。该系统为广西动物防疫物资的规范化管理提供了重要的技术支持,也为全区重大动物疫病防控提供了坚强的后勤保障。     

蜂胶抗炎功效成分研究

为确定中国杨属型蜂胶的抗炎功效成分,用100ng/ml脂多糖(LPS)和40μg/ml氧化型低密度脂蛋白(ox-LDL)分别诱导脐静脉血管内皮细胞(HUVECs)损伤。通过SRB法分别检测蜂胶水提物中分离的11种组分和蜂胶乙酸乙酯提取物中分离的8段组分对2种炎症细胞模型细胞存活率的影响。结果表明:蜂胶水提物中的11种组分不同程度的促进2种炎症细胞的细胞存活率,乙酸乙酯提取物中的8段组分也是不同程度的提高2种炎症细胞的细胞存活率。由此可知,蜂胶的抗炎功效成分十分复杂,很可能是多种成分协同功效的结果,而且酚酸类物质发挥了一定的作用。