162 research outputs found

    Landscape Data

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    This file contains raster values for elevation, slope and aspect for the subset of individuals (n=192) included in the landscape genetic analysis. Matt Rhodes and Jeremie Fant collected these data in 2013

    Indigenous Peoples and Litigation:Strategies for Legal Empowerment

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    Across the globe indigenous peoples are increasingly using litigation to seek remedies for violation of their fundamental human rights. The rise of litigation is to be placed in the larger issue of increased land grabbing, natural resources exploitation and the general lack of recognition of their rights at the national level. This lack of legal rights is usually coupled with a lack of political will to address the issues faced by indigenous peoples, often leading to serious human rights violations, leaving indigenous advocates with few options but to turn to courts as a last resort to seek remedies. This article examines some of the issues faced by indigenous peoples and their advocates when engaging in human rights litigation. The goal is to offer a practice-based reflection on the encounter between courts and indigenous peoples with a specific focus on analysing strategies to ensure their legal empowerment. This is particularly important knowing the technicality, externalities and complexities of the process of litigation, and the fact that many decisions do not get implemented. In this context this article explores how the process of litigation in itself can support legal empowerment and the wider fight for justice. © 2020, The Author(s). The attached document (embargoed until 10/10/2022) is an author produced version of a paper published in JOURNAL OF HUMAN RIGHTS PRACTICE uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it.<br/

    Genetic and fitness measurements of Brighamia accessions for APPS

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    Premise of the study: Living collections maintained for generations are at risk of diversity loss, inbreeding, and adaptation to cultivation. To address these concerns the zoo community uses pedigrees to track individuals and implement crosses that maximize founder contributions and minimize inbreeding. Using a pedigree management approach in an exceptional plant, we demonstrate how conducting such strategic crosses can minimize genetic issues that have arisen under current practices. Methods: We performed crosses between these collections and compared the fitness of progeny, including plant performance and reproductive health. We genotyped the progeny and paternal accessions to measure changes in diversity and relatedness within and between accessions. Results: The mean relatedness among individuals of an accession, suggests they are full siblings. As a result there was high inbreeding and low diversity within an accession, although less so among accessions. Progeny from the wider crosses had increased genetic diversity, while selfed accessions were smaller and less fertile. Discussion: Institutions which hold exceptional species should consider how diversity is maintained within their collections. Implementing a pedigree-based approach to managing reproduction of ex situ plants will slow the inevitable loss of genetic diversity and in turn, result in healthier collections.Ready to be used in genalex. Funding provided by: Institute of Museum and Library ServicesCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000208Award Number: MG-30-16-0085-16Funding provided by: Institute of Museum and Library ServicesCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000208Award Number: MG-60-19-0064-19Funding provided by: National Geographic SocietyCrossref Funder Registry ID: http://dx.doi.org/10.13039/100006363Award Number: NGS-57037C-19Genomic DNA was extracted from parental accessions using the 2× CTAB method (Doyle and Doyle, 1987) and the progeny of the aforementioned crosses using DNeasy Plant Mini Kit (Cat 69104, Qiagen, Germantown, MD, USA). For the parental accession plants, we extracted DNA from the maternal accession (CBG), and for three of the four paternal accessions (SDZ (Accession 2001-0273-022), NTBG (Accession 990833.3) and USBG1 (Accession 2014-0070)), however as the fourth accession (USBG2) died before we could extract DNA, we used progeny derived (Accession 2019-000) from a self of that plant to estimate paternal contribution. All samples were genotyped using markers and protocols described in Fant et al. (2019) which had already been tested for Hardy-weinberg and presence of null alleles. For this study we used a total of 11 primers; eight primers (B05, B08, B43, B44, B46, B47, B51, B57) were designed for B. insignis (Fant et al., 2019) and three primers (L23, L33, L34) were designed for Lobelia villosa (Rock) H. St. John & Hosaka. The eight B. insignis primers were visualized using pre-labeled forward primers with either WellRed Black (D2), Green (D3) or Blue (D4) fluorescent dye (Sigma-Proligo, St. Louis, Missouri, USA), while for Lobelia villosa markers, the forward primer was modified at the 5' end (5'-CACGACGTTGTAAAACGAC-3') so they could be labelled separately (Schuelke, 2000). All products were analyzed and scored using a CEQ 8000 Genetic Analysis System V9.0 (Beckman Coulter, Brea, California, USA). Given that B. insignis is a paleotetraploid (Lammers, 1988), four of the primer pairs (B44, B47, B51 and L23) produced more than two bands. As the peaks were separated from other alleles by large range (20-30bp), and segregated independently (Fant et al., 2019), they were scored as independent loci

    3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia)

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    3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia) M. Jessell 1,2, J. Giraud 1,2, M. Lindsay 1,2                                                      1 Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, Australia 2 Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia Contact author: Jeremie Giraud ([email protected]) Companion dataset to the paper: Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x open-source code, J. Giraud, V. Ogarko, R. Martin, M. Lindsay, M. Jessell, Geoscientific Model Development Discussions. This dataset contains models and data shown in the paper, in both 2D and 3D: 1. Geological model Reference lithology voxet: The reference geological model was obtained using public data from the Geological Survey of Western Australia and modified subsequently (stretched vertically and flattened at surface level) for the purpose of this study. Probability voxet The lithology probability voxet was derived using Monte Carlo simulations for uncertainty estimation as mentioned in the paper. 2. True and inverted models for density and magnetic susceptibility Derivation is detailed in the paper; it uses fictitious density and magnetic susceptibility values. 3. Bouguer and total magnetic field anomaly Calculation is detailed in the paper. The authors are supported, in part, by Loop – Enabling Stochastic 3D Geological Modelling (LP170100985) and the Mineral Exploration Cooperative Research Centre (MinEx CRC) whose activities are funded by the Australian Government's Cooperative Research Centre Program. This is MinEx CRC Document 2021/3. Mark Lindsay acknowledges funding from the ARC and DECRA DE190100431. It is a companion dataset to:  Vitaliy Ogarko, Jeremie Giraud, & Roland. (2021, February 5). Tomofast-x v1.0 source code (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.445262

    A parametric study of vestibular stimulation during centrifugation

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections."February 2006."Includes bibliographical references (p. 155-160).Artificial Gravity (AG) provided by short-radius centrifugation is a promising countermeasure to the health problems associated with long duration human spaceflight. Head-turns performed during centrifugation, however, trigger a disturbing vestibular response that is only qualitatively understood. In order to design an efficient incremental adaptation procedure, the present study investigates the quantitative aspect of the vestibular side effects associated with AG, in particular, the relationship among crosscoupled stimulation, vestibular response, and adaptation. We tested 20 young adults with supine right-quadrant yaw head-turns performed in a dark environment during short-radius centrifugation. We studied the changes in vestibular response and adaptation to head-turns at different levels of cross-coupled stimulation. Nine combinations of head-turn angle (20°, 40° or 80°) with centrifugevelocity (12, 19 or 30 rpm) were tested over two consecutive days.(cont.) There were four key findings: 1. All measures, except the slow-phase velocity (SPV) peak amplitude of the vestibulo-ocular reflex, decrease significantly between the two experimental days, which demonstrates that significant adaptation is achieved. 2. Large head-angles lead to longer vertical vestibulo-ocular reflex time-constants than smaller angles do, but do not lead to greater adaptation. 3. In the nose-up position, the perceived body-tilt is highly correlated with the true tilt of the gravito-inertial force at mid-chest level. 4. The SPV-peak amplitude and all subjective ratings except body-tilt show significant correlation with the intensity of the cross-coupled stimulus (CCS): the larger the CCS, the stronger the vestibular response.by Jeremie M. Pouly.S.M

    Comparing genetic diversity in three threatened oaks

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    Genetic diversity is a critical resource for species’ survival during times of environmental change. Conserving and sustainably managing genetic diversity requires understanding the distribution and amount of genetic diversity (in situ and ex situ) across multiple species. This paper focuses on three emblematic and IUCN Red List threatened oaks (Quercus, Fagaceae), a highly speciose tree genus that contains numerous rare species and poses challenges for ex situ conservation. We compare the genetic diversity of three rare oak species-Quercus georgiana, Q. oglethorpensis, and Q. boyntonii-to common oaks; investigate the correlation of range size, population size, and the abiotic environment with genetic diversity within and among populations in situ; and test how well genetic diversity preserved in botanic gardens correlates with geographic range size. Our main findings are: (1) these three rare species generally have lower genetic diversity than more abundant oaks; (2) in some cases, small population size and geographic range correlate with genetic diversity and differentiation; and (3) genetic diversity currently protected in botanic gardens is inadequately predicted by geographic range size and number of samples preserved, suggesting non-random sampling of populations for conservation collections. Our results highlight that most populations of these three rare oaks have managed to avoid severe genetic erosion, but their small size will likely necessitate genetic management going forward

    combined pollinator visitation

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    This file contains the morning and evening pollinator visitation data combined into one file, and was used in the pooled analysis of pollinator abundance

    pollen dispersal distances

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    Pollen dispersal distances analyzed in this study. Each row represents a single seed for which a high-confidence paternity assignment was obtained. For each such seed, "treatment" gives the pollinator exclusion treatment (C = control, DE = day-excluded, NE = night-excluded) and "distance" gives the straight-line distance (m) between the maternal plant and the assigned paternal plant
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