<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vieira, L C</style></author><author><style face="normal" font="default" size="100%">Oliveira, N G</style></author><author><style face="normal" font="default" size="100%">Gayubo, S F</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the use of Apiformes and Spheciformes (Insecta: Hymenoptera) populations as a management tool</style></title><secondary-title><style face="normal" font="default" size="100%">Biodiversity and Conservation</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">aculeate hymenoptera</style></keyword><keyword><style  face="normal" font="default" size="100%">apiformes</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">management tool</style></keyword><keyword><style  face="normal" font="default" size="100%">natural area</style></keyword><keyword><style  face="normal" font="default" size="100%">spheciformes</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/index/10.1007/s10531-010-9962-2</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">519 - 530</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The creation of Protected Areas was one of the ﬁrst measures taken for the protection of biodiversity and it is still the most widely used. The establishment of systems to evaluate the effectiveness of the management of these areas are crucial to validate their importance for conservation and guide the managers towards their conservation goals. Aculeate Hymenoptera, speciﬁcally Apiformes and Spheciformes, gather exceptional characteristics as bioindicators and are essential to ecosystem sustainability by including key pollinators (Apiformes), contribute for the maintenance of the equilibrium between arthropod populations (Spheciformes), and also reﬂect the patterns of other taxa. Apiformes and Spheciformes suggest that Apiformes and Spheciformes communities are a suitable management tool for habitat evaluation. communities were sampled with Malaise traps in eight different habitats initially identiﬁed by habitat type (mainly vegetation). These communities were evaluated to determine if the habitats could be differentiated based on their Apiformes and Spheciformes generic communities. Apiformes and Spheciformes diversity provided limited differentiation between habitats but was able to differentiate the most disturbed habitat from the most pristine. In general, Apiformes and Spheciformes communities were different among the eight habitats. It was also possible to establish a relation between some genera and a speciﬁc habitat type. Several genera of Apiformes and Spheciformes showed a preference for the riparian galery (RLR) and a mixed woodland (COZ), providing a general idea of the ideal conditions for the development of these groups. These results</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Figueira, Rui</style></author><author><style face="normal" font="default" size="100%">Tavares, Paula C.</style></author><author><style face="normal" font="default" size="100%">Palma, Luís</style></author><author><style face="normal" font="default" size="100%">Beja, Pedro</style></author><author><style face="normal" font="default" size="100%">Sérgio, Cecília</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of indicator kriging to the complementary use of bioindicators at three trophic levels.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental pollution (Barking, Essex : 1987)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">birds</style></keyword><keyword><style  face="normal" font="default" size="100%">Birds: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: instrumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: statistics &amp; numerical d</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Indicator kriging</style></keyword><keyword><style  face="normal" font="default" size="100%">Indices</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Mosses</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">Statistical</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19477568</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">2689 - 2696</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The use of biological indicators is widespread in environmental monitoring, although it has long been recognised that each bioindicator is generally associated with a range of potential limitations and shortcomings. To circumvent this problem, this study adopted the complementary use of bioindicators representing different trophic levels and providing different type of information, in an innovative approach to integrate knowledge and to estimate the overall health state of ecosystems. The approach is illustrated using mercury contamination in primary producers (mosses), primary consumers (domestic pigeons and red-legged partridges) and top predators (Bonelli's eagles) in southern Portugal. Indicator kriging geostatistics was used to identify the areas where mercury concentration was higher than the median for each species, and to produce an index that combines mercury contamination across trophic levels. Spatial patterns of mercury contamination were consistent across species. The combined index provided a new level of information useful in incorporating measures of overall environmental contamination into pollution studies.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 19477568</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Figueira, Rui</style></author><author><style face="normal" font="default" size="100%">Tavares, Paula C</style></author><author><style face="normal" font="default" size="100%">Palma, Luís</style></author><author><style face="normal" font="default" size="100%">Beja, Pedro</style></author><author><style face="normal" font="default" size="100%">Sérgio, Cecília</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of indicator kriging to the complementary use of bioindicators at three trophic levels.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental pollution (Barking, Essex : 1987)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">birds</style></keyword><keyword><style  face="normal" font="default" size="100%">Birds: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: instrumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: statistics &amp; numerical d</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Indicator kriging</style></keyword><keyword><style  face="normal" font="default" size="100%">Indices</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Mosses</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">Statistical</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">2689-2696</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The use of biological indicators is widespread in environmental monitoring, although it has long been recognised that each bioindicator is generally associated with a range of potential limitations and shortcomings. To circumvent this problem, this study adopted the complementary use of bioindicators representing different trophic levels and providing different type of information, in an innovative approach to integrate knowledge and to estimate the overall health state of ecosystems. The approach is illustrated using mercury contamination in primary producers (mosses), primary consumers (domestic pigeons and red-legged partridges) and top predators (Bonelli's eagles) in southern Portugal. Indicator kriging geostatistics was used to identify the areas where mercury concentration was higher than the median for each species, and to produce an index that combines mercury contamination across trophic levels. Spatial patterns of mercury contamination were consistent across species. The combined index provided a new level of information useful in incorporating measures of overall environmental contamination into pollution studies.</style></abstract><accession-num><style face="normal" font="default" size="100%">19477568</style></accession-num></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hijano, Concepción Fidalgo</style></author><author><style face="normal" font="default" size="100%">Domínguez, Maria Dolores Petit</style></author><author><style face="normal" font="default" size="100%">Gimínez, Rosario García</style></author><author><style face="normal" font="default" size="100%">Sínchez, Pilar Hungría</style></author><author><style face="normal" font="default" size="100%">García, Inís Sancho</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Higher plants as bioindicators of sulphur dioxide emissions in urban environments.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental monitoring and assessment</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">atmospheric pollution</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">Cedrus deodara</style></keyword><keyword><style  face="normal" font="default" size="100%">higher plants</style></keyword><keyword><style  face="normal" font="default" size="100%">Nerium oleander</style></keyword><keyword><style  face="normal" font="default" size="100%">Pinus pinea</style></keyword><keyword><style  face="normal" font="default" size="100%">Pyracantha coccinea</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus ilex</style></keyword><keyword><style  face="normal" font="default" size="100%">Sulphur dioxide</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year></dates><volume><style face="normal" font="default" size="100%">111</style></volume><pages><style face="normal" font="default" size="100%">75-88</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The evaluation of certain vascular plants that grow in the city of Madrid as biomonitors of SO(2) air pollution in urban environments has been carried out. Total concentration of sulphur in leaves of the chosen higher plants as well as other parameters in close relation to this contaminant (visible injury symptoms, chlorophyll a- and b-content and peroxidase activity) have been determined in order to study the spatial distribution and temporal changes in SO(2) deposition. Results obtained show that coniferous species such as Pinus pinea, were more sensitive to SO(2) atmospheric concentration than leafy species as Quercux ilex subspecies ballota and, in the same way, bush species, such as Pyracantha coccinea and Nerium oleander, were more sensitive than wooded species, such as Cedrus deodara and Pinus pinea, respectively. There is a higher accumulation of sulphur in vegetable species located near highways and dense traffic incidence roads and near areas with high density of population. The minimum values for accumulation of SO(2) were registered in winter and spring seasons (from January to April) due to the vegetative stop; while maximum values are obtained during the summer season (from June to September), due to the stoma opening. The highest increments in sulphur concentration, calculated as the difference between two consecutive months, are obtained in May and June for all considered species except for Cedrus deodara and Pyracantha coccinea, both species have few seasonal changes during the whole year. Some species are more sensitive to natural washing than others, showing a decrease in sulphur concentration after rainfall periods.</style></abstract><accession-num><style face="normal" font="default" size="100%">16311823</style></accession-num></record></records></xml>