1,721,175 research outputs found

    Is rapid adaptive evolution important in successful invasions?

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    Eleanor E. Dormontt, Andrew J. Lowe and Peter J. Prenti

    Restoration: 'Garden of Eden' unrealistic

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    CorrespondenceMartin F. Breed, Andrew J. Lowe, Peter E. Mortime

    DNA barcoding of invasive species

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    Hugh B. Cross, Andrew J. Lowe and C. Frederico D. Gurgelhttp://trove.nla.gov.au/work/3781057

    Isolation via 454 sequencing, and characterisation of microsatellites for Drymodes brunneopygia, southern scrub-robin (Aves: Petroicidae): a species at risk due to substantial habitat loss and climate change

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    We isolated 10 new polymorphic microsatellite markers from Drymodes brunneopygia, a ground-dwelling bird species distributed in semi-arid mallee habitat across southern Australia. Initially 454 shotgun sequencing was used to identify 51 loci for which primers were designed. We trialled all 51 loci in the target species and 29 (57%) amplified a polymorphic product of expected size. Subsequently 18 of these loci were screened for variation in 38 individuals from Billiatt Conservation Park in South Australia. All loci were polymorphic; however, only 10 loci could be scored reliably. For those 10 loci, observed heterozygosity ranged from 0.105 to 0.842 (mean 0.634) and the number of alleles per locus ranged from 2 to 10 (average of 6.7). These loci will be useful for characterising genetic variation and metapopulation structure in Drymodes brunneopygia, a species threatened by agriculture and climate change. © 2011 Springer Science+Business Media B.V.Jolene A. Scoble, Andrew J. Lowe, Michael G. Gardne

    AusPlots Rangelands Survey Protocols Manual

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    Andrew White, Ben Sparrow, Emrys Leitch, Jeff Foulkes, Rick Flitton, Andrew J. Lowe and Stefan Caddy-Retali

    Biogeographic concepts define invasion biology

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    Copyright © 2009 Elsevier Ltd. All rights reserved.John R.U. Wilson, Eleanor E. Dormontt, Peter J. Prentis, Andrew J. Lowe and David M. Richardso

    Spatially designed revegetation—why the spatial arrangement of plants should be as important to revegetation as they are to natural systems

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    The spatial arrangement of plants play a key role in natural systems and influence many fundamental ecological processes (e.g. survival, competition, facilitation, pollination and seed dispersal) and ecosystem functions (e.g. habitat value, water and nutrient capture). Despite this knowledge, the fine-scale position of plants is rarely considered during restoration plantings, yet manipulation of planting arrangements during revegetation has the potential to aid the development of resilient and self-sustaining ecosystems. Here we outline how the spatial arrangement of plants influences grassland and woodland ecosystems, both at the vegetation and ecosystem level. Following this synthesis, we identify research gaps in the revegetation literature that could usefully be addressed to help develop this understudied field of research. Finally, we outline components of plant arrangements (spacing, aggregation, community composition) that can already be considered during restoration plantings - spatially designed revegetation - which are likely to lead to improved ecological outcomes of grassland and woodland revegetation.Kimberly P. McCallum, Andrew J. Lowe, Martin F. Breed, David C. Pato

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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