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S. Mancebo Quintana B. Martín Ramos M.Á. Casermeiro Martínez I. Otero Pastor 《Journal of environmental management》2010,91(5):1087-1096
The aim of the present work is to design a model for evaluating the impact of planned infrastructures on species survival at the territorial scale by calculating a connectivity index. The method developed involves determining the effective distance of displacement between patches of the same habitat, simplifying earlier models so that there is no dependence on specific variables for each species. A case study is presented in which the model was used to assess the impact of the forthcoming roads and railways included in the Spanish Strategic Infrastructure and Transport Plan (PEIT, in its Spanish initials).This study took into account the habitats of peninsular Spain, which occupies an area of some 500,000 km2. In this territory, the areas deemed to provide natural habitats are defined by Directive 92/43/EEC. The impact of new infrastructures on connectivity was assessed by comparing two scenarios, with and without the plan, for the major new road and railway networks. The calculation of the connectivity index (CI) requires the use of a raster methodology based on the Arc/Info geographical information system (GIS). The actual calculation was performed using a program written in Arc/Info Macro Language (AML); this program is available in FragtULs (Mancebo Quintana, 2007), a set of tools for calculating indicators of fragmentation caused by transport infrastructure (http://topografia.montes.upm.es/fragtuls.html).The indicator of connectivity proposed allows the estimation of the connectivity between all the patches of a territory, with no artificial (non-ecologically based) boundaries imposed. The model proposed appears to be a useful tool for the analysis of fragmentation caused by plans for large territories. 相似文献
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Joe Shaw Elizabeth Scotchman Ben Paternoster Maureen Ramos Sarah Nesbitt Sophie Sheppard Tristan Snowsill Lyn S. Chitty Natalie Chandler 《黑龙江环境通报》2023,43(4):477-488
Objectives
To develop a flexible droplet digital PCR (ddPCR) workflow to perform non-invasive prenatal diagnosis via relative mutation dosage (RMD) for maternal pathogenic variants with a range of inheritance patterns, and to compare the accuracy of multiple analytical approaches.Methods
Cell free DNA (cfDNA) was tested from 124 archived maternal plasma samples: 88 cases for sickle cell disease and 36 for rare Mendelian conditions. Three analytical methods were compared: sequential probability ratio testing (SPRT), Bayesian and z-score analyses.Results
The SPRT, Bayesian and z-score analyses performed similarly well with correct prediction rates of 96%, 97% and 98%, respectively. However, there were high rates of inconclusive results for each cohort, particularly for z-score analysis which was 31% overall. Two samples were incorrectly classified by all three analytical methods; a false negative result predicted for a fetus affected with sickle cell disease and a false positive result predicting the presence of an X-linked IDS variant in an unaffected fetus.Conclusions
ddPCR can be applied to RMD for diverse conditions and inheritance patterns, but all methods carry a small risk of erroneous results. Further evaluation is required both to reduce the rate of inconclusive results and explore discordant results in more detail. 相似文献6.
Transportation system has contributed significantly to the development of human civilization; on the other hand it has an
enormous impact on the ambient air quality in several ways. In this paper the air and noise pollution at selected sites along
three sections of National Highway was monitored. Pakistan National Highway Authority has started a Highway Improvement
program for rehabilitations and maintenance of National highways to improve the traffic flows, and would ultimately improve
the air quality along highways. The ambient air quality and noise level was monitored at nine different locations along these
sections of highways to quantify the air pollution. The duration of monitoring at individual location was 72 h. The most of
the sampling points were near the urban or village population, schools or hospitals, in order to quantify the air pollution
at most affected locations along these roads. A database consisting of information regarding the source of emission, local
metrology and air quality may be created to assess the profile of air quality in the area. 相似文献
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Adriana Melo Jousilene de Sales Tavares Marianny de Assis Costa Renato Santana de Aguiar Gustavo Malinger Fabiana de Oliveira Melo Mariana Balbino da-Silva Bruno Luiz Fonseca Schamber-Reis Gabriela Gama Amilcar Tanuri Leila Chimelli Patricia Oliveira-Szejnfeld Melania M. Ramos de Amorim 《黑龙江环境通报》2020,40(13):1732-1740
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Luis Fernando Cáceres Choque Oswaldo E. Ramos Ramos Sulema N. Valdez Castro Rigoberto R. Choque Aspiazu Rocío G. Choque Mamani Samuel G. Fernández Alcazar Ondra Sracek Prosun Bhattacharya 《Environmental monitoring and assessment》2013,185(12):9979-9994
Chemical weathering is one of the major geochemical processes that control the mobilization of heavy metals. The present study provides the first report on heavy metal fractionation in sediments (8–156 m) of Lake Titicaca (3,820 m a.s.l.), which is shared by the Republic of Peru and the Plurinational State of Bolivia. Both contents of total Cu, Fe, Ni, Co, Mn, Cd, Pb, and Zn and also the fractionation of these heavy metals associated with four different fractions have been determined following the BCR scheme. The principal component analysis suggests that Co, Ni, and Cd can be attributed to natural sources related to the mineralized geological formations. Moreover, the sources of Cu, Fe, and Mn are effluents and wastes generated from mining activities, while Pb and Zn also suggest that their common source is associated to mining activities. According to the Risk Assessment Code, there is a moderate to high risk related to Zn, Pb, Cd, Mn, Co, and Ni mobilization and/or remobilization from the bottom sediment to the water column. Furthermore, the Geoaccumulation Index and the Enrichment Factor reveal that Zn, Pb, and Cd are enriched in the sediments. The results suggest that the effluents from various traditional mining waste sites in both countries are the main source of heavy metal contamination in the sediments of Lake Titicaca. 相似文献