804 resultados para conservation easement
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Międzyrzecz Fortified Front, were Natura 2000 site PLH080003 Nietoperek is situated, was built by the Germans in the 1930s and during the World War II. It is composed of above ground bunkers connected by underground tunnels of ca. 32 km total length. Nietoperek is the eighth largest bats hibernation site in EU. Monthly censuses were carried out from October to April during three consecutive winter seasons (2011/12 – 2013/14) in area covering ca. 30% of the undergrounds. The aims of the study were: (1) to describe changes in numbers of each species in the course of hibernation season, (2) to suggest deadlines for counting particular bat species to obtain maximal numbers and (3) to describe negative impact of tourism on hibernating bats. The results will be useful for restriction of winter tourism in Nietoperek. The total number of bats observed during the study was 37869 individuals of 9 species. Because of difficulties in distinguishing without handling M. mystacinus and M. brandtii were treated as one group. M. myotis constituted from 53% (first season) to 64% (last season) of all hibernating bats. The maximal numbers of individuals were observed in November (first two seasons) and in December (third season). M. daubentonii constituted from 27% (first season) to 21% (last season) and M. nattereri from 10% (first season) to 11% (second season) of all bats. During the three seasons the maximal numbers of M. daubentonii and M. nattereri were observed in November and December respectively. B. barbastellus and P. auritus constituted from 4% (first season) to 2% (last season) of the multi species colony. The maximal numbers of B. barbastellus were observed in January and P. auritus in January (first and second seasons) and in December (third season). Results indicated that the best period for counting maximal numbers of M. myotis and M. daubentonii is November, for M. nattereri is December and for B. barbastellus and P. auritus is January. The study undertaken in the part visited by tourists in winter (total length of 900 m) proved negative effect caused by human disturbance with 23% decline of total bat numbers.
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Georgia is known for its extraordinary rich biodiversity of plants, which may now be threatened due to the spread of invasive alien plants (IAP). We aimed to identify (i) the most prominent IAP out of 9 selected potentially invasive and harmful IAP IAP by predicting thetheir distribution of 9 selected IAP under current and future climate conditions in Georgia as well as in its 43 Protected Areas, as a proxy for areas of high conservation value and (ii) the Protected Areas most at risk due to these IAP. We used species distribution models based on 6 climate variables and then filtered the obtained distributions based on maps of soil and vegetation types, and on recorded occurrences, resulting into the predicted ecological distribution of the 9 IAP's at a resolution of 1km2. We foundOur habitat suitability analysis showed that Ambrosia artemisiifolia, (24% and 40%) Robinia pseudoacaia (14% and 19%) and Ailanthus altissima (9% and 11%) have the largest potential distribution are the most abundant (predicted % area covered)d) IAP, with Ailanthus altissima the potentially most increasing one over the next fifty years (from 9% to 13% and from 11% to 25%), for Georgia and the Protected Areas, respectively. Furthermore, our results show indicate two areas in Georgia that are under specifically high threat, i.e. the area around Tbilisi and an area in the western part of Georgia (Adjara), both at lower altitudes. Our procedure to identify areas of high conservation value most at risk by IAP has been applied for the first time. It will help national authorities in prioritizing their measures to protect Georgia's outstanding biodiversity from the negative impact of IAP.
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Freshwater species worldwide are experiencing dramatic declines partly attributable to ongoing climate change. It is expected that the future effects of climate change could be particularly severe in mediterranean climate (med-) regions, which host many endemic species already under great stress from the high level of human development. In this article, we review the climate and climate-induced changes in streams of med-regions and the responses of stream biota, focusing on both observed and anticipated ecological responses. We also discuss current knowledge gaps and conservation challenges. Expected climate alterations have already been observed in the last decades, and include: increased annual average air temperatures; decreased annual average precipitation; hydrologic alterations; and an increase in frequency, intensity and duration of extreme events, such as floods, droughts and fires. Recent observations, which are concordant with forecasts built, show stream biota of med-regions when facing climate changes tend to be displaced towards higher elevations and upper latitudes, communities tend to change their composition and homogenize, while some life-history traits seem to provide biota with resilience and resistance to adapt to the new conditions (as being short-lived, small, and resistant to low streamflow and desiccation). Nevertheless, such responses may be insufficient to cope with current and future environmental changes. Accurate forecasts of biotic changes and possible adaptations are difficult to obtain in med-regions mainly because of the difficulty of distinguishing disturbances due to natural variability from the effects of climate change, particularly regarding hydrology. Long-term studies are needed to disentangle such variability and improve knowledge regarding the ecological responses and the detection of early warning signals to climate change. Investments should focus on taxa beyond fish and macroinvertebrates, and in covering the less studied regions of Chile and South Africa. Scientists, policy makers and water managers must be involved in the climate change dialogue because the freshwater conservation concerns are huge.
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In Chile, mediterranean climate conditions only occur in the Central Zone (ChMZ). Despite its small area, this mediterranean climate region (med-region) has been recognised as a hotspot for biodiversity. However, in contrast to the rivers of other med-regions, the rivers in the ChMZ have been studied infrequently, and knowledge of their freshwater biodiversity is scarce and fragmented. We gathered information on the freshwater biodiversity of ChMZ, and present a review of the current knowledge of the principal floral and faunal groups. Existing knowledge indicates that the ChMZ has high levels of endemism, with many primitive species being of Gondwanan origin. Although detailed information is available on most floral groups, most faunal groups remain poorly known. In addition, numerous rivers in the ChMZ remain completely unexplored. Taxonomic specialists are scarce, and the information available on freshwater biodiversity has resulted from studies with objectives that did not directly address biodiversity issues. Research funding in this med-region has a strong applied character and is not focused on the knowledge of natural systems and their biodiversity. Species conservation policies are urgently required in this highly diverse med-region, which is also the most severely impacted and most populated region of the country.
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Brown trout is a cold-adapted freshwater species with restricted distribution to headwater streams in rivers of the South European peninsulas, where populations are highly vulnerable because Mediterranean regions are highly sensitive to the global climatic warming. Moreover, these populations are endangered due to the introgressive hybridization with cultured stocks. Individuals from six remnant populations in Western Mediterranean rivers were sequenced for the complete mitochondrial DNA control region and genotyped for 11 nuclear markers. Three different brown trout lineages were present in the studied region. Significant genetic divergence was observed among locations and a strong effect of genetic drift was suggested. An important stocking impact (close to 25%) was detected in the zone. Significant correlations between mitochondrial-based rates of hatchery introgression and water flow variation suggested a higher impact of stocked females in unstable habitats. In spite of hatchery introgression, all populations remained highly differentiated, suggesting that native genetic resources are still abundant. However, climatic predictions indicated that suitable habitats for the species in these rivers will be reduced and hence trout populations are highly endangered and vulnerable. Thus, management policies should take into account these predictions to design upstream refuge areas to protect remnant native trout in the region
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Construction of multiple sequence alignments is a fundamental task in Bioinformatics. Multiple sequence alignments are used as a prerequisite in many Bioinformatics methods, and subsequently the quality of such methods can be critically dependent on the quality of the alignment. However, automatic construction of a multiple sequence alignment for a set of remotely related sequences does not always provide biologically relevant alignments.Therefore, there is a need for an objective approach for evaluating the quality of automatically aligned sequences. The profile hidden Markov model is a powerful approach in comparative genomics. In the profile hidden Markov model, the symbol probabilities are estimated at each conserved alignment position. This can increase the dimension of parameter space and cause an overfitting problem. These two research problems are both related to conservation. We have developed statistical measures for quantifying the conservation of multiple sequence alignments. Two types of methods are considered, those identifying conserved residues in an alignment position, and those calculating positional conservation scores. The positional conservation score was exploited in a statistical prediction model for assessing the quality of multiple sequence alignments. The residue conservation score was used as part of the emission probability estimation method proposed for profile hidden Markov models. The results of the predicted alignment quality score highly correlated with the correct alignment quality scores, indicating that our method is reliable for assessing the quality of any multiple sequence alignment. The comparison of the emission probability estimation method with the maximum likelihood method showed that the number of estimated parameters in the model was dramatically decreased, while the same level of accuracy was maintained. To conclude, we have shown that conservation can be successfully used in the statistical model for alignment quality assessment and in the estimation of emission probabilities in the profile hidden Markov models.
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1845 (SER2,T1 = VOL11).
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1907 (VOL71).
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1851 (SER2,T7 = VOL17).
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1865 (SER4,T1 = VOL31).
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1911 (VOL75).
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1870 (SER4,T6 = VOL36).
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1838 (T4).
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1844 (T10).
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1901 (VOL65).