广西南丹玉兰汞矿周边土壤-霸王草系统汞含量分布及污染研究

本文通过对玉兰汞矿及其周边地区土壤和植物(霸王草)汞含量分布及污染的调查和研究,旨在了解土壤和霸王草中的汞污染状况以及汞在土壤-霸王草系统中的迁移转化规律,进而为汞污染防治与修复提供科学依据。本次研究共采集土壤样315件和植物样(霸王草)150件。全部土壤和植物样品采用MDS-2003F型压力自控密闭微波溶样系统消解,并用原子荧光测汞仪进行分析测定。结果表明,坑口片区土壤汞含量为1.362 1±1.227 6μg/g,拉莫片区土壤汞含量为0.742 8±0.717μg/g,周边地区土壤汞含量为0.346 4±0.031 3μg/g,分别为我国一些地区土壤汞自然含量(0.071μg/g)的19.18、10.46、4.88倍。土壤汞含量随远离矿区中部向东西两侧依次降低。植物汞含量分布与土壤汞含量分布基本相似。植物根汞、叶汞与土壤汞相关性为r=0.547和r=0.179,均大于临界值r=0.159(取信度α=5%),植物不同部分汞含量表现为根叶茎。上述特点表明土壤汞是植物汞的主要来源。本次采集工作中55%的土壤样汞含量超过了我国《土壤环境质量标准(GB15618-2008)》第二级标准的对应限值(汞≤0.35μg/g),坑口片区以及北部拉莫片区土壤汞污染较严重,污染范围为2km2。植物根汞对土壤汞的富集系数为3%,土壤汞形态分析显示土壤中的可吸收态汞含量低。植物茎/根和叶/根转运系数较高,为36.62%、65.91%,表明植物根部吸收的有效态汞较多地被转运到茎叶上。     

Validating graph-based connectivity models with independent presence–absence and genetic data sets

Habitat connectivity is a key objective of current conservation policies and is commonly modeled by landscape graphs (i.e., sets of habitat patches [nodes] connected by potential dispersal paths [links]). These graphs are often built based on expert opinion or species distribution models (SDMs) and therefore lack empirical validation from data more closely reflecting functional connectivity. Accordingly, we tested whether landscape graphs reflect how habitat connectivity influences gene flow, which is one of the main ecoevolutionary processes. To that purpose, we modeled the habitat network of a forest bird (plumbeous warbler [Setophaga plumbea]) on Guadeloupe with graphs based on expert opinion, Jacobs’ specialization indices, and an SDM. We used genetic data (712 birds from 27 populations) to compute local genetic indices and pairwise genetic distances. Finally, we assessed the relationships between genetic distances or indices and cost distances or connectivity metrics with maximum-likelihood population-effects distance models and Spearman correlations between metrics. Overall, the landscape graphs reliably reflected the influence of connectivity on population genetic structure; validation R² was up to 0.30 and correlation coefficients were up to 0.71. Yet, the relationship among graph ecological relevance, data requirements, and construction and analysis methods was not straightforward because the graph based on the most complex construction method (species distribution modeling) sometimes had less ecological relevance than the others. Cross-validation methods and sensitivity analyzes allowed us to make the advantages and limitations of each construction method spatially explicit. We confirmed the relevance of landscape graphs for conservation modeling but recommend a case-specific consideration of the cost-effectiveness of their construction methods. We hope the replication of independent validation approaches across species and landscapes will strengthen the ecological relevance of connectivity models.     

刈割对牧草地下部根区土壤养分及土壤酶活性的影响

对不同刈割强度对牧草地下部根区土壤养分状况及土壤酶活性进行了研究,结果表明,牧草刈割对根区土壤养分、土壤酶活性和土壤微生物数量存在一定影响。不同刈割强度对牧草根区土壤有机质、全磷和全钾含量无明显影响。土壤全氮、碱解氮、速效磷、速效钾含量均因刈割强度的增加而显著下降。土壤蔗糖酶、脲酶活性因刈割处理强度的增加而下降;土壤过氧化氢酶活性则表现为相反的变化趋势。刈割对土壤微生物总数量的影响较大,表现为轻刈割>不刈割>重刈割。     

西藏草地生长季产草量动态变化及可持续发展策略

论文利用西藏地区草地产草量实际调查数据和NDVI数据集,建立西藏草地产草量估算模型,定量分析了1987—2010年间西藏草地生长季的产草量时空变化特征。研究表明：1987—2010年间,那曲地区草地产草量增速最大,增幅为54%,而拉萨地区草地产草量呈现负增长,减幅为4%。在空间分布上,总体呈现由西北向东南递增趋势;产草量增加的地区主要位于西藏中北部,南部多为产草量减少的区域。西藏草地产草量增加的区域面积占草地总面积的76.04%;产草量减少的区域面积仅占全区草地面积的23.96%。在年代际变化上,1996—2006年10 a间西藏产草量增加的区域面积显著大于减少的区域面积。为了改善西藏草地生态系统状况,进一步提高草地产草量,论文从草地开发利用、空间格局、病虫害防治和退耕还草生态补偿等方面提出西藏草地资源可持续发展策略。     

Inferring extinction of mammals from sighting records, threats, and biological traits

For species with five or more sightings, quantitative techniques exist to test whether a species is extinct on the basis of distribution of sightings. However, 70% of purportedly extinct mammals are known from fewer than five sightings, and such models do not include some important indicators of the likelihood of extinction such as threats, biological traits, search effort, and demography. Previously, we developed a quantitative method that we based on species' traits in which we used Cox proportional hazards regression to calculate the probability of rediscovery of species regarded as extinct. Here, we used two versions of the Cox regression model to determine the probability of extinction in purportedly extinct mammals and compared the results of these two models with those of stationary Poisson, nonparametric, and Weibull sighting-distribution models. For mammals with five or more sightings, the stationary Poisson model categorized all but two critically endangered (flagged as possibly extinct) species in our data set as extinct, and results with this model were consistent with current categories of the International Union for the Conservation of Nature. The scores of probability of rediscovery for individual species in one version of our Cox regression model were correlated with scores assigned by the stationary Poisson model. Thus, we used this Cox regression model to determine the probability of extinction of mammals with sparse records. On the basis of the Cox regression model, the most likely mammals to be rediscovered were the Montane monkey-faced bat (Pteralopex pulchra), Armenian myotis (Myotis hajastanicus), Alcorn's pocket gopher (Pappogeomys alcorni), and Wimmer's shrew (Crocidura wimmeri). The Cox model categorized two species that have recently disappeared as extinct: the baiji (Lipotes vexillifer) and the Christmas Island pipistrelle (Pipistrellus murrayi). Our new method can be used to test whether species with few records or recent last-sighting dates are likely to be extinct.     

三维植被网预制草毯技术的意义和发展初探

三维植被网预制草毯就其独特的立体网包结构,预植草皮象卷地毯一样整体起运到需要绿化防护的地点,又象铺地毯一样铺贴在需防护的区域,从而达到快速绿化的目的.笔者就其技术的实用效果和发展趋势进行初步的探讨.表1,参3.     

京郊挖沙废弃地能源草生产潜力评价

能源草是一种良好的生物质资源。为分析其在边际土地上的应用前景,在京郊挖沙废弃地上开展了柳枝稷(Panicum virgatum L.)与芦竹(Arundo donax L.)两种能源草的规模化种植,并从生物质产量和生态经济价值角度研究了其生产潜力。在京郊挖沙废弃地上,两种能源草均能获得较高的生物质产量,分别为3.77、 11.45 t·hm^-2;从固定二氧化碳、释放氧气、吸收二氧化硫、滞降粉尘4个方面核算其生态价值,按标准煤折算、纤维素乙醇制备两种方式核算其经济价值,两种能源草的生态经济价值非常可观。柳枝稷和芦竹两种能源草在京郊挖沙废弃地上的发展前景广阔。     

Bayesian Networks and Adaptive Management of Wildlife Habitat

Abstract: Adaptive management is an iterative process of gathering new knowledge regarding a system's behavior and monitoring the ecological consequences of management actions to improve management decisions. Although the concept originated in the 1970s, it is rarely actively incorporated into ecological restoration. Bayesian networks (BNs) are emerging as efficient ecological decision‐support tools well suited to adaptive management, but examples of their application in this capacity are few. We developed a BN within an adaptive‐management framework that focuses on managing the effects of feral grazing and prescribed burning regimes on avian diversity within woodlands of subtropical eastern Australia. We constructed the BN with baseline data to predict bird abundance as a function of habitat structure, grazing pressure, and prescribed burning. Results of sensitivity analyses suggested that grazing pressure increased the abundance of aggressive honeyeaters, which in turn had a strong negative effect on small passerines. Management interventions to reduce pressure of feral grazing and prescribed burning were then conducted, after which we collected a second set of field data to test the response of small passerines to these measures. We used these data, which incorporated ecological changes that may have resulted from the management interventions, to validate and update the BN. The network predictions of small passerine abundance under the new habitat and management conditions were very accurate. The updated BN concluded the first iteration of adaptive management and will be used in planning the next round of management interventions. The unique belief‐updating feature of BNs provides land managers with the flexibility to predict outcomes and evaluate the effectiveness of management interventions.     

Arkadolith土壤改良剂对内蒙沙区常见牧草生长状况的影响

通过盆栽试验,对土壤采用添加25%土壤改良剂、以及添加12.5%改良剂和12.5%腐殖质的2种处理方式,研究Arkadolith土壤改良剂对冰草（Agropyron desertorum）、沙打旺（Astragalus huangheensis）和准格尔苜蓿（Medicago sativa cv ＂Zhonggeer＂）3种沙生牧草的生长特性的影响。结果表明,3种牧草中,植株高度、生长力、发芽力以及产量都较土壤改良前有所增强,沙打旺和准格尔苜蓿的生长状况要明显好于冰草。含有多种矿物成分的Arkadolith土壤改良剂不仅可以改良贫瘠土壤,提高土壤肥力,促进牧草的增产,而且还可以减少化学肥料的施用,降低成本,做到绿色环保,因此其具有广泛的推广意义。     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.