荒漠植物红砂研究进展

主要综述了荒漠植物红砂的分布区及其生境、解剖学特征、种子萌发及幼苗生长影响因素、组织培养、生理生态特征、繁殖及育苗、分子生物学特性等方面的研究。简要阐述了修复和重建红砂植被的必要性,并着重研究了红砂种子萌发的影响因素及育苗技术的发展现状,在此基础上指出红砂研究中的不足之处,并对今后的研究方向提出了建议。     

中国代表性滑雪场网络关注度时空演变及影响因素

基于百度指数数据,运用指数测度、空间地理分析、回归模型和地理探测器,对2011—2019年中国大陆26个代表性滑雪场网络关注度的时空演变特征及影响因素进行分析。结果表明:(1)时间演化上,网络关注度呈先增后减且逐渐平稳的规律。2015年、2016年为峰值年份,季节性差异明显,共两个波动峰值且为“南北为单,中东为双”的分布格局。(2)空间特性上,全国和地区均为先增后减特征,地区差异显著;变异程度先降后增并趋于稳定,全国分布相对稳定平衡,地区分布呈不稳定集聚特性。省区冷热区域分布总体呈“东北热—西南冷”格局,层级变化以稳定型为主。(3)滑雪场层面上,滑雪场总体偏好层级变动较大,高偏好保持稳定领先,其余层级以下降变动为主。滑雪场冷热点分级呈“北热南冷”的格局,东北、华北两个热点集聚区域演变较为稳定。(4)影响因素上,需求侧影响因素排序为滑雪消费吸引力>受教育程度>经济发展水平>信息化水平>滑雪场建设水平。供给侧的滑雪人次占比、滑雪经济贡献、客运承载力、冰雪旅游资源丰度、官方媒体建设水平解释力较强,其他因素影响并不显著。     

渭南市道路移动源高分辨污染物排放清单及特征研究

应用MOVES-2014a模型并对其输入参数进行了本地化修正,计算了 2018年渭南市道路移动源污染物的排放因子和排放总量.基于渭南市路网分布和GIS信息及车流分布对污染物总排放量进行了空间和时间分配,建立了 1 km×1 km和l h分辨率的排放清单.结果表明,渭南市机动车排放CO、NMVOCs、NOx、NO2、NO...     

甘肃省旅游业发展与经济增长关系的实证研究

基于向量自回归模型(VAR)的计量分析,对甘肃省旅游业发展与经济增长的关系进行了实证分析.结果显示,甘肃省旅游业发展与经济增长间存在长期均衡的协整关系;经济增长是旅游收入提高的Granger原因,而旅游业发展不是经济增长的Granger原因;甘肃省经济增长对其旅游业发展具有正向影响;同时,旅游业收入的结构冲击对经济增长波动的影响有限.     

Decomposition of hexachlorobenzene over Al2O3 supported metal oxide catalysts

Decomposition of hexachlorobenzene (HCB) was investigated over several metal oxides (i.e., MgO, CaO, BaO, La₂O₃, CeO₂, MnO₂, Fe₂O₃, and Co₃O₄) supported on Al₂O₃, which was achieved in closed system at a temperature of 300°C. Catalysts were prepared by incipient wetness impregnation with different metal oxides loading and impregnating solvents. The decomposition efficiency of different catalysts for this reaction depends on the nature of the metal oxide used, and Al₂O₃ supported La₂O₃ was found to be the most active one. Pentachlorobenzene (PeCB), and all tetrachlorobenzene (TeCB), trichlorobenzene (TrCB), and dichlorobenzene (DCB) isomers were detected after the decomposition reaction, indicating that the decomposition was mainly a dechlorination process. The detection of all lower chlorinated benzenes suggested the complexity of decomposition and the presence of more than one dechlorination pathway.     

奶牛粪便翻堆式与槽式堆肥过程气体排放规律及养分损失原位监测

为探究奶牛粪便翻堆式与槽式堆肥过程中温室气体和氨气(NH3)排放规律及养分损失情况,采用原位监测的方法,通过静态采气箱和气体在线监测设备,分别对奶牛粪便翻堆式和槽式堆体开展为期36 d的气体监测.结果表明,翻堆式堆肥过程中甲烷(CH4)、氧化亚氮(N2O)和NH3排放主要集中于翻堆阶段;槽式堆肥过程中CH4和NH3排放...     

Incorporating detectability of threatened species into environmental impact assessment

Environmental impact assessment (EIA) is a key mechanism for protecting threatened plant and animal species. Many species are not perfectly detectable and, even when present, may remain undetected during EIA surveys, increasing the risk of site‐level loss or extinction of species. Numerous methods now exist for estimating detectability of plants and animals. Despite this, regulations concerning survey protocol and effort during EIAs fail to adequately address issues of detectability. Probability of detection is intrinsically linked to survey effort; thus, minimum survey effort requirements are a useful way to address the risks of false absences. We utilized 2 methods for determining appropriate survey effort requirements during EIA surveys. One method determined the survey effort required to achieve a probability of detection of 0.95 when the species is present. The second method estimated the survey effort required to either detect the species or reduce the probability of presence to 0.05. We applied these methods to Pimelea spinscens subsp. spinescens, a critically endangered grassland plant species in Melbourne, Australia. We detected P. spinescens in only half of the surveys undertaken at sites where it was known to exist. Estimates of the survey effort required to detect the species or demonstrate its absence with any confidence were much higher than the effort traditionally invested in EIA surveys for this species. We argue that minimum survey requirements be established for all species listed under threatened species legislation and hope that our findings will provide an impetus for collecting, compiling, and synthesizing quantitative detectability estimates for a broad range of plant and animal species. Incorporación de la Capacidad de Detectar una Especie Amenazada a la Evaluación de Impacto Ambiental     

温度对沉水植物腐解释放DOM及微生物群落多样性的影响

在5,10,20,35℃下研究了黑藻和马来眼子菜腐解过程中DOM的特性、细菌和真菌群落结构多样性的变化.结果表明,腐解结束时5,10,20,35℃下黑藻的干物质剩余量分别为初始干物质质量的59.13%、43.91%、32.61%和29.57%,马来眼子菜的干物质剩余量分别为初始干物质质量的69.13%、51.3%、30.87%和29.57%.升高温度一定程度上促进了植物有机碳和全氮释放,对全磷无明显影响（P>0.05）.采用平行因子分析法得到黑藻中含有2种类腐殖酸组分C1、C2和1种类蛋白质组分C3,马来眼子菜中含有3种类腐殖酸组分C1、C2和C3.温度升高使得腐解水体中DO和电导率的变化程度加剧,总体上4种温度下2种植物腐解水体中DO均呈现先下降后上升的趋势.通过高通量测序得到腐解前期（0~16d）参与黑藻和马来眼子菜腐解的主要细菌分别为变形菌门（Proteobacteria）和拟杆菌门（Bacteroidetes）;腐解中后期（16~68d）参与黑藻和马来眼子菜腐解的细菌分别以厚壁菌门（Phylum Firmicutes）和变形菌门（Proteobacteria）为主,温度对细菌群落结构无明显影响,而参与2种植物腐解的真菌均以子囊菌（Ascomycetes）最为活跃.     

矿区土壤中砷污染对微生物群落的影响研究

采用梯度培养和PCR-DGGE技术,对大柳塔矿区矸石山及周边土壤的砷含量及其对土壤微生物群落的影响进行了研究,并通过测序研究了土壤微生物群落的结构。结果表明,矸石山及其周边自然表土的含水量较少,且十分相近;全磷和有机质含量普遍较高,p H呈中偏碱性;不同风化程度矸石山土壤砷含量对土壤微生物群落有显著的影响,不同砷污染负荷土壤中微生物群落的丰度存在差异;矸石山复垦年限不同,土壤理化性质会发生变化;土壤中砷含量的增高,对植物生长起关键作用的Gemmatimonas(甲烷单毛菌属)等微生物群落受到不同程度的抑制;Proteobacterium(变形菌门)具有较强的耐砷性;矸石山土壤特有的理化性质可为GASP-WA2W2_F11等微生物群落的演替创造了条件。     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.