102 research outputs found

    Newly-Discovered Globular Clusters in NGC 147 and NGC 185 from PAndAS

    Full text link
    Using data from the Pan-Andromeda Archaeological Survey (PAndAS), we have discovered four new globular clusters (GCs) associated with the M31 dwarf elliptical (dE) satellites NGC 147 and NGC 185. Three of these are associated with NGC 147 and one with NGC 185. All lie beyond the main optical boundaries of the galaxies and are the most remote clusters yet known in these systems. Radial velocities derived from low resolution spectra are used to argue that the GCs are bound to the dwarfs and are not part of the M31 halo population. Combining PAndAS with UKIRT/WFCAM data, we present the first homogeneous optical and near-IR photometry for the entire GC systems of these dEs. Colour-colour plots and published colour-metallicity relations are employed to constrain GC ages and metallicities. It is demonstrated that the clusters are in general metal poor ([Fe/H] < -1.25 dex), while the ages are more difficult to constrain. The mean (V-I)0_0 colours of the two GC systems are very similar to those of the GC systems of dEs in the Virgo and Fornax clusters, as well as the extended halo GC population in M31. The new clusters bring the GC specific frequency (S_N) to ~9 in NGC 147 and ~5 in NGC 185, consistent with values found for dEs of similar luminosity residing in a range of environments.Comment: 14 pages, 6 figures, 6 tables, accepted for publication in MNRA

    Self-organization of (001) cubic crystal surfaces

    Full text link
    Self-organization on crystal surface is studied as a two dimensional spinodal decomposition in presence of a surface stress. The elastic Green function is calculated for a (001)(001) cubic crystal surface taking into account the crystal anisotropy. Numerical calculations show that the phase separation is driven by the interplay between domain boundary energy and long range elastic interactions. At late stage of the phase separation process, a steady state appears with different nanometric patterns according to the surface coverage and the crystal elastic constants

    The upgrading of fire safety in historic buildings

    Get PDF
    There is a seemingly continual erosion of our cultural heritage due to fires in historic buildings. Some of these fires result in partial loss of the asset, some result in total loss – in all cases irreplaceable historic fabric is destroyed. Accurate recording for fires in historic buildings is problematic, but such data as has been collated indicates that the level of loss is high. One of the key factors in achieving robust fire safety in historic buildings is the upgrading of physical fire protection measures. It has been suggested that we should assume a fire event is probable, and together with a context in which outside help might be some time in arriving, such measures are considered crucial in containing the fire and raising the alarm as quickly as possible. This article considers passive and active fire protection measures, using case study material to provide illustrative examples. Where it might be expected that conservation requirements, aiming to avoid negative impact to character and significance, might hinder disruptive physical interventions to improve fire protection, in fact a great deal can be achieved. Such a pragmatic approach is arguably necessary for the safety and preservation of built heritage, when the alternative might otherwise be yet another burnt-out shell

    Newly discovered globular clusters in NGC 147 and NGC 185 from PAndAS

    Get PDF
    Using data from the Pan-Andromeda Archaeological Survey (PAndAS), we have discovered four new globular clusters (GCs) associated with the M31 dwarf elliptical (dE) satellites NGC 147 and NGC 185. Three of these are associated with NGC 147 and one with NG

    Movement patterns of forest elephants (Loxodonta cyclotis Matschie, 1900) in the Odzala-Kokoua National Park, Republic of Congo

    Full text link
    [Otros] Les éléphants de forêt d'Afrique (Loxodonta cyclotis Matschie, 1900) sont des ingénieurs en écologie qui jouent un rôle fondamental dans la dynamique de la végétation. L'espèce constitue une préoccupation immédiate pour la conservation, mais elle est relativement peu étudiée. Pour combler cette lacune de connaissances, nous avons étudié les facteurs de déplacements quotidiens (déplacements linéaires) des éléphants de forêt ¿ caractérisés par un ensemble de variables géographiques, météorologiques et anthropiques ¿ dans le Parc National d'Odzala¿Kokoua, en République du Congo. Concrètement, nous avons utilisé la forêt d'arbres décisionnels pour modéliser et démêler les principaux facteurs environnementaux régissant les déplacements de six éléphants de forêt, équipés de colliers GPS et suivis pendant 16 mois. Les résultats ont montré que les femelles se déplaçaient plus loin que les mâles, tandis que la présence de routes ou d¿établissements humains perturbait le comportement des éléphants, ce qui accélérait les déplacements. Les éléphants de forêt se déplaçaient plus rapidement dans les cours d¿eau et dans les forêts dont le sous¿bois était dominé par les forêts de Marantaceae et les bais, mais se déplaçait plus lentement dans les savanes. Enfin, les zones inondables ¿ characterisées par l¿altitude et les précipitations accumulées ¿ et les températures plus élevées empêchaient des déplacements plus longs. Nous espérons que ces résultats amélioreront les connaissances sur les mouvements des espèces à travers différents habitats, ce qui serait bénéfique pour la gestion de leur conservation.[EN] African forest elephants (Loxodonta cyclotis Matschie, 1900) are ecological engineers that play a fundamental role in vegetation dynamics. The species is of immediate conservation concern, yet it is relatively understudied. To narrow this knowledge gap, we studied the drivers of daily movement patterns (linear displacements) of forest elephants¿characterised by a set of geographical, meteorological and anthropogenic variables¿in the Odzala¿Kokoua National Park, Republic of Congo. Explicitly, we used conditional random forest to model and disentangle the main environmental factors governing the displacements of six forest elephants,fitted with GPS collars and tracked over 16 months. Results indicated that females moved further distances than males, while the presence of roads or human settlements disrupted elephant behaviour resulting in faster displacements. Forest elephants moved faster along watercourses and through forest with understory dominated by Marantaceae forests and bais, but moved slower in savannahs. Finally, flood¿prone areas¿described by elevation and accumulated precipitation¿and higher temperatures prevented longer displacements. We expect these results to improve the knowledge on the species movements through different habitats, which would benefit its conservation management.The fieldwork was financed by African Parks. We are grateful to the Congolese wildlife authorities (Ministère de l'Économie Forestière et de l'Environnement) for the permission to carry out this study, and we are deeply indebted to the director of the OKNP and to the conservation, wildlife monitoring and research manager, Erik Marav, respectively, for their continued support during our study. We are particularly grateful to Dr. Mike Kock, veterinarian, for collaring the elephants and to the field tracking team. We are also grateful to Séan Cahill for the useful comments and English correction that helped improve this manuscript. The authors of the present study certify that they have no affiliations with or involvement in any organisation or entity with any financial or nonfinancial interest in the subject matter or materials discussed in this manuscript.Molina-Vacas, G.; Muñoz-Mas, R.; Martinez-Capel, F.; Rodriguez-Teijeiro, JD.; Le Fohlic, G. (2019). Movement patterns of forest elephants (Loxodonta cyclotis Matschie, 1900) in the Odzala-Kokoua National Park, Republic of Congo. African Journal of Ecology. 58:23-33. https://doi.org/10.1111/aje.12695S233358Arlot, S., & Celisse, A. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys, 4(0), 40-79. doi:10.1214/09-ss054Bermejo, M. (1999). Status and conservation of primates in Odzala National Park, Republic of the Congo. Oryx, 33(4), 323-331. doi:10.1046/j.1365-3008.1999.00081.xBirkett, P. J., Vanak, A. T., Muggeo, V. M. R., Ferreira, S. M., & Slotow, R. (2012). Animal Perception of Seasonal Thresholds: Changes in Elephant Movement in Relation to Rainfall Patterns. PLoS ONE, 7(6), e38363. doi:10.1371/journal.pone.0038363Blake, S., Deem, S. L., Strindberg, S., Maisels, F., Momont, L., Isia, I.-B., … Kock, M. D. (2008). Roadless Wilderness Area Determines Forest Elephant Movements in the Congo Basin. PLoS ONE, 3(10), e3546. doi:10.1371/journal.pone.0003546Blake, S., Douglas-Hamilton, I., & Karesh, W. B. (2001). GPS telemetry of forest elephants in Central Africa: results of a preliminary study. African Journal of Ecology, 39(2), 178-186. doi:10.1046/j.1365-2028.2001.00296.xBlake, S., Strindberg, S., Boudjan, P., Makombo, C., Bila-Isia, I., Ilambu, O., … Maisels, F. (2007). Forest Elephant Crisis in the Congo Basin. PLoS Biology, 5(4), e111. doi:10.1371/journal.pbio.0050111Bohrer, G., Beck, P. S., Ngene, S. M., Skidmore, A. K., & Douglas-Hamilton, I. (2014). Elephant movement closely tracks precipitation-driven vegetation dynamics in a Kenyan forest-savanna landscape. Movement Ecology, 2(1). doi:10.1186/2051-3933-2-2Breiman, L. (2001). Machine Learning, 45(1), 5-32. doi:10.1023/a:1010933404324Breuer, T., Maisels, F., & Fishlock, V. (2016). The consequences of poaching and anthropogenic change for forest elephants. Conservation Biology, 30(5), 1019-1026. doi:10.1111/cobi.12679Buij, R., McShea, W. J., Campbell, P., Lee, M. E., Dallmeier, F., Guimondou, S., … Alonso, A. (2007). Patch-occupancy models indicate human activity as major determinant of forest elephant Loxodonta cyclotis seasonal distribution in an industrial corridor in Gabon. Biological Conservation, 135(2), 189-201. doi:10.1016/j.biocon.2006.10.028CLARK, C. J., POULSEN, J. R., MALONGA, R., & ELKAN, Jr., P. W. (2009). Logging Concessions Can Extend the Conservation Estate for Central African Tropical Forests. Conservation Biology, 23(5), 1281-1293. doi:10.1111/j.1523-1739.2009.01243.xCrooks, K. R., Burdett, C. L., Theobald, D. M., King, S. R. B., Di Marco, M., Rondinini, C., & Boitani, L. (2017). Quantification of habitat fragmentation reveals extinction risk in terrestrial mammals. Proceedings of the National Academy of Sciences, 114(29), 7635-7640. doi:10.1073/pnas.1705769114De Beer, Y., & van Aarde, R. J. (2008). Do landscape heterogeneity and water distribution explain aspects of elephant home range in southern Africa’s arid savannas? Journal of Arid Environments, 72(11), 2017-2025. doi:10.1016/j.jaridenv.2008.07.002De Knegt, H. J., van Langevelde, F., Skidmore, A. K., Delsink, A., Slotow, R., Henley, S., … Prins, H. H. T. (2010). The spatial scaling of habitat selection by African elephants. Journal of Animal Ecology, 80(1), 270-281. doi:10.1111/j.1365-2656.2010.01764.xDi Marco, M., Buchanan, G. M., Szantoi, Z., Holmgren, M., Grottolo Marasini, G., Gross, D., … Rondinini, C. (2014). Drivers of extinction risk in African mammals: the interplay of distribution state, human pressure, conservation response and species biology. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643), 20130198. doi:10.1098/rstb.2013.0198Vladimir, D., & Jon, H. (2018). Mammalwatching: A new source of support for science and conservation. International Journal of Biodiversity and Conservation, 10(4), 154-160. doi:10.5897/ijbc2017.1162Elliot, N. B., Cushman, S. A., Loveridge, A. J., Mtare, G., & Macdonald, D. W. (2014). Movements vary according to dispersal stage, group size, and rainfall: the case of the African lion. Ecology, 95(10), 2860-2869. doi:10.1890/13-1793.1Fishlock, V., & Lee, P. C. (2013). Forest elephants: fission–fusion and social arenas. Animal Behaviour, 85(2), 357-363. doi:10.1016/j.anbehav.2012.11.004Friedman, J. H. (2001). machine. The Annals of Statistics, 29(5), 1189-1232. doi:10.1214/aos/1013203451GOBUSH, K. S., MUTAYOBA, B. M., & WASSER, S. K. (2008). Long-Term Impacts of Poaching on Relatedness, Stress Physiology, and Reproductive Output of Adult Female African Elephants. Conservation Biology, 22(6), 1590-1599. doi:10.1111/j.1523-1739.2008.01035.xGoldenberg, S. Z., Douglas-Hamilton, I., Daballen, D., & Wittemyer, G. (2016). Challenges of using behavior to monitor anthropogenic impacts on wildlife: a case study on illegal killing of African elephants. Animal Conservation, 20(3), 215-224. doi:10.1111/acv.12309Goldenberg, S. Z., Douglas-Hamilton, I., & Wittemyer, G. (2018). Inter-generational change in African elephant range use is associated with poaching risk, primary productivity and adult mortality. Proceedings of the Royal Society B: Biological Sciences, 285(1879), 20180286. doi:10.1098/rspb.2018.0286Gonzalez-Voyer, A., González-Suárez, M., Vilà, C., & Revilla, E. (2016). Larger brain size indirectly increases vulnerability to extinction in mammals. Evolution, 70(6), 1364-1375. doi:10.1111/evo.12943Graham, M. D., Douglas-Hamilton, I., Adams, W. M., & Lee, P. C. (2009). The movement of African elephants in a human-dominated land-use mosaic. Animal Conservation, 12(5), 445-455. doi:10.1111/j.1469-1795.2009.00272.xHarris, G., Thirgood, S., Hopcraft, J., Cromsight, J., & Berger, J. (2009). Global decline in aggregated migrations of large terrestrial mammals. Endangered Species Research, 7, 55-76. doi:10.3354/esr00173Hothorn, T., Hornik, K., & Zeileis, A. (2006). Unbiased Recursive Partitioning: A Conditional Inference Framework. Journal of Computational and Graphical Statistics, 15(3), 651-674. doi:10.1198/106186006x133933Johnson, D. D. P., Kays, R., Blackwell, P. G., & Macdonald, D. W. (2002). Does the resource dispersion hypothesis explain group living? Trends in Ecology & Evolution, 17(12), 563-570. doi:10.1016/s0169-5347(02)02619-8Kolowski, J. M., Blake, S., Kock, M. D., Lee, M. E., Henderson, A., Honorez, A., & Alonso, A. (2010). Movements of four forest elephants in an oil concession in Gabon, Central Africa. African Journal of Ecology, 48(4), 1134-1138. doi:10.1111/j.1365-2028.2009.01204.xLAURANCE, W. F., CROES, B. M., TCHIGNOUMBA, L., LAHM, S. A., ALONSO, A., LEE, M. E., … ONDZEANO, C. (2006). Impacts of Roads and Hunting on Central African Rainforest Mammals. Conservation Biology, 20(4), 1251-1261. doi:10.1111/j.1523-1739.2006.00420.xLoarie, S. R., Aarde, R. J. V., & Pimm, S. L. (2009). Fences and artificial water affect African savannah elephant movement patterns. Biological Conservation, 142(12), 3086-3098. doi:10.1016/j.biocon.2009.08.008Maisels, F., Strindberg, S., Blake, S., Wittemyer, G., Hart, J., Williamson, E. A., … Amsini, F. (2013). Devastating Decline of Forest Elephants in Central Africa. PLoS ONE, 8(3), e59469. doi:10.1371/journal.pone.0059469May, R., Dandy, G., & Maier, H. (2011). Review of Input Variable Selection Methods for Artificial Neural Networks. Artificial Neural Networks - Methodological Advances and Biomedical Applications. doi:10.5772/16004Metsio Sienne, J., Buchwald, R., & Wittemyer, G. (2013). Differentiation in mineral constituents in elephant selected versus unselected water and soil resources at Central African bais (forest clearings). European Journal of Wildlife Research, 60(2), 377-382. doi:10.1007/s10344-013-0781-0Mills, E. C., Poulsen, J. R., Fay, J. M., Morkel, P., Clark, C. J., Meier, A., … White, L. J. T. (2018). Forest elephant movement and habitat use in a tropical forest-grassland mosaic in Gabon. PLOS ONE, 13(7), e0199387. doi:10.1371/journal.pone.0199387Muñoz-Mas, R., Fukuda, S., Pórtoles, J., & Martínez-Capel, F. (2018). Revisiting probabilistic neural networks: a comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus). Ecological Informatics, 43, 24-37. doi:10.1016/j.ecoinf.2017.10.008Muñoz-Mas, R., Fukuda, S., Vezza, P., & Martínez-Capel, F. (2016). Comparing four methods for decision-tree induction: A case study on the invasive Iberian gudgeon ( Gobio lozanoi ; Doadrio and Madeira, 2004). Ecological Informatics, 34, 22-34. doi:10.1016/j.ecoinf.2016.04.011Poulsen, J. R., Koerner, S. E., Moore, S., Medjibe, V. P., Blake, S., Clark, C. J., … White, L. J. T. (2017). Poaching empties critical Central African wilderness of forest elephants. Current Biology, 27(4), R134-R135. doi:10.1016/j.cub.2017.01.023Poulsen, J. R., Rosin, C., Meier, A., Mills, E., Nuñez, C. L., Koerner, S. E., … Sowers, M. (2018). Ecological consequences of forest elephant declines for Afrotropical forests. Conservation Biology, 32(3), 559-567. doi:10.1111/cobi.13035Ripple, W. J., Abernethy, K., Betts, M. G., Chapron, G., Dirzo, R., Galetti, M., … Young, H. (2016). Bushmeat hunting and extinction risk to the world’s mammals. Royal Society Open Science, 3(10), 160498. doi:10.1098/rsos.160498Sánchez‐Montoya, M. M., Moleón, M., Sánchez‐Zapata, J. A., & Tockner, K. (2016). Dry riverbeds: corridors for terrestrial vertebrates. Ecosphere, 7(10). doi:10.1002/ecs2.1508Schuttler, S. G., Blake, S., & Eggert, L. S. (2012). Movement Patterns and Spatial Relationships Among African Forest Elephants. Biotropica, 44(4), 445-448. doi:10.1111/j.1744-7429.2012.00889.xSHORT, J. C. (1983). Density and seasonal movements of forest elephant (Loxodonta africana cyclotis, Matschie) in Bia National Park, Ghana. African Journal of Ecology, 21(3), 175-184. doi:10.1111/j.1365-2028.1983.tb01179.xSnyman, S. L. (2012). The role of tourism employment in poverty reduction and community perceptions of conservation and tourism in southern Africa. Journal of Sustainable Tourism, 20(3), 395-416. doi:10.1080/09669582.2012.657202Stokes, E. J., Strindberg, S., Bakabana, P. C., Elkan, P. W., Iyenguet, F. C., Madzoké, B., … Rainey, H. J. (2010). Monitoring Great Ape and Elephant Abundance at Large Spatial Scales: Measuring Effectiveness of a Conservation Landscape. PLoS ONE, 5(4), e10294. doi:10.1371/journal.pone.0010294Strobl, C., Boulesteix, A.-L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics, 8(1). doi:10.1186/1471-2105-8-25Strobl, C., Hothorn, T., & Zeileis, A. (2009). Party on! The R Journal, 1(2), 14. doi:10.32614/rj-2009-013Turkalo, A. K. (2013). Estimating forest elephant age. African Journal of Ecology, 51(3), 501-505. doi:10.1111/aje.12087Turkalo, A. K., Wrege, P. H., & Wittemyer, G. (2013). Long-Term Monitoring of Dzanga Bai Forest Elephants: Forest Clearing Use Patterns. PLoS ONE, 8(12), e85154. doi:10.1371/journal.pone.0085154Wasser, S. K., Brown, L., Mailand, C., Mondol, S., Clark, W., Laurie, C., & Weir, B. S. (2015). Genetic assignment of large seizures of elephant ivory reveals Africa’s major poaching hotspots. Science, 349(6243), 84-87. doi:10.1126/science.aaa2457WILLIAMS, T. M. (1990). Heat transfer in elephants: thermal partitioning based on skin temperature profiles. Journal of Zoology, 222(2), 235-245. doi:10.1111/j.1469-7998.1990.tb05674.xWittemyer, G., Northrup, J. M., Blanc, J., Douglas-Hamilton, I., Omondi, P., & Burnham, K. P. (2014). Illegal killing for ivory drives global decline in African elephants. Proceedings of the National Academy of Sciences, 111(36), 13117-13121. doi:10.1073/pnas.1403984111WREGE, P. H., ROWLAND, E. D., THOMPSON, B. G., & BATRUCH, N. (2010). Use of Acoustic Tools to Reveal Otherwise Cryptic Responses of Forest Elephants to Oil Exploration. Conservation Biology, 24(6), 1578-1585. doi:10.1111/j.1523-1739.2010.01559.xYoung, K. D., Ferreira, S. M., & Van Aarde, R. J. (2009). Elephant spatial use in wet and dry savannas of southern Africa. Journal of Zoology, 278(3), 189-205. doi:10.1111/j.1469-7998.2009.00568.

    The outer halo globular cluster system of M31 - I. the final PAndAS catalogue

    Get PDF
    We report the discovery of 59 globular clusters (GCs) and two candidate GCs in a search of the halo of M31, primarily via visual inspection of Canada-France-Hawaii Telescope/MegaCam imagery from the Pan-Andromeda Archaeological Survey (PAndAS). The superior quality of these data also allows us to check the classification of remote objects in the Revised Bologna Catalogue (RBC), plus a subset of GC candidates drawn from Sloan Digital Sky Survey (SDSS) imaging. We identify three additional new GCs from the RBC, and confirm the GC nature of 11 SDSS objects (8 of which appear independently in our remote halo catalogue); the remaining 188 candidates across both lists are either foreground stars or background galaxies. Our new catalogue represents the first uniform census of GCs across the M31 halo - we find clusters to the limit of the PAndAS survey area at projected radii of up to Rproj ~ 150 kpc. Tests using artificial clusters reveal that detection incompleteness cuts in at luminosities below MV = -6.0; our 50 per cent completeness limit is MV ≈ -4.1. We construct a uniform set of PAndAS photometric measurements for all known GCs outside Rproj = 25 kpc, and any new GCs within this radius. With these data, we update results from Huxor et al., investigating the luminosity function (LF), colours and effective radii of M31 GCs with a particular focus on the remote halo.We find that the GCLF is clearly bimodal in the outer halo (Rproj > 30 kpc), with the secondary peak at MV ~ -5.5. We argue that the GCs in this peak have most likely been accreted along with their host dwarf galaxies. Notwithstanding, we also find, as in previous surveys, a substantial number of GCs with above-average luminosity in the outer M31 halo - a population with no clear counterpart in the Milky Way

    Selective nanomanipulation using optical forces

    Full text link
    We present a detailed theoretical study of the recent proposal for selective nanomanipulation of nanometric particles above a substrate using near-field optical forces [Chaumet {\it et al.} Phys. Rev. Lett. {\bf 88}, 123601 (2002)]. Evanescent light scattering at the apex of an apertureless near-field probe is used to create an optical trap. The position of the trap is controlled on a nanometric scale via the probe and small objects can be selectively trapped and manipulated. We discuss the influence of the geometry of the particles and the probe on the efficiency of the trap. We also consider the influence of multiple scattering among the particles on the substrate and its effect on the robustness of the trap.Comment: 12 pages, 17 figure
    corecore