ORCID Profile
0000-0002-6563-3365
Current Organisation
York University
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Publisher: Springer Science and Business Media LLC
Date: 13-06-2007
Publisher: Canadian Science Publishing
Date: 09-2016
Publisher: Springer Science and Business Media LLC
Date: 2013
Publisher: Cold Spring Harbor Laboratory
Date: 18-12-2022
DOI: 10.1101/2022.12.15.520573
Abstract: Tropical forests are threatened by degradation and deforestation but the consequences for these ecosystems are poorly understood, particularly at the landscape scale. We present the most extensive ecosystem analysis to date of the impacts of logging and conversion of tropical forest to oil palm from a large-scale study in Borneo, synthesizing responses from 79 variables categorized into four hierarchical ecological ‘levels’: 1) structure and environment, 2) species traits, 3) bio ersity and 4) ecosystem functions. Variables at the lowest levels that were directly impacted by the physical processes of timber extraction, such as soil characteristics, were sensitive to even moderate amounts of logging, whereas bio ersity and ecosystem functions proved remarkably resilient to logging in many cases, but were more affected by conversion to oil palm plantation. Logging tropical forest mostly impacts structure while bio ersity and functions are more vulnerable to habitat conversion
Publisher: Wiley
Date: 05-04-2021
DOI: 10.1002/AJP.23256
Publisher: Canadian Science Publishing
Date: 11-2016
Publisher: Wiley
Date: 11-01-2023
DOI: 10.1002/EDN3.385
Abstract: Environmental (e)DNA has rapidly become a powerful biomonitoring tool, particularly in aquatic ecosystems. This approach has not been as widely adopted in terrestrial communities where the methods of vertebrate eDNA collection have varied from the use of secondary collectors such as blood feeding parasites and spider webs, to washing surfaces of leaves and soil s ling. Recent studies have demonstrated the potential of direct collection of eDNA from air s ling, but none have tested how effective airborne eDNA s ling might be in a bio erse environment. We used three prototype s lers to actively s le a mixed neotropical bat community in a partially controlled environment. We assess whether airborne eDNA can accurately characterize a high ersity community with skewed abundances and to determine if filter design impacts DNA collection and taxonomic recovery. Our study provides evidence for the accuracy of airborne eDNA as a detection tool and highlights its potential for monitoring high density, erse assemblages such as bat roosts. Analysis of air s les recovered % of the species present and some limited relationship between species abundance and read count. Our data suggests this method can accurately depict a erse mixed‐mammal community, particularly when the location is contained (e.g., a roost, den or burrow) but also highlights the potential for secondary transfer of eDNA material on clothing and equipment. Our results also demonstrate that simple, inexpensive, battery‐operated homemade air s lers can collect an abundance of eDNA from the air, opening the opportunity for s ling in remote environments.
Publisher: Public Library of Science (PLoS)
Date: 26-07-2011
Publisher: Wiley
Date: 12-01-2007
Publisher: Wiley
Date: 27-11-2020
DOI: 10.1111/MEC.15724
Abstract: The application of metabarcoding to environmental and invertebrate‐derived DNA (eDNA and iDNA) is a new and increasingly applied method for monitoring bio ersity across a erse range of habitats. This approach is particularly promising for s ling in the bio erse humid tropics, where rapid land‐use change for agriculture means there is a growing need to understand the conservation value of the remaining mosaic and degraded landscapes. Here we use iDNA from blood‐feeding leeches ( Haemadipsa picta ) to assess differences in mammalian ersity across a gradient of forest degradation in Sabah, Malaysian Borneo. We screened 557 in idual leeches for mammal DNA by targeting fragments of the 16S rRNA gene and detected 14 mammalian genera. We recorded lower mammal ersity in the most heavily degraded forest compared to higher quality twice logged forest. Although the accumulation curves of ersity estimates were comparable across these habitat types, ersity was higher in twice logged forest, with more taxa of conservation concern. In addition, our analysis revealed differences between the community recorded in the heavily logged forest and that of the twice logged forest. By revealing differences in mammal ersity across a human‐modified tropical landscape, our study demonstrates the value of iDNA as a noninvasive biomonitoring approach in conservation assessments.
Publisher: Wiley
Date: 17-06-2019
DOI: 10.1111/MEC.14734
Publisher: Springer Science and Business Media LLC
Date: 27-03-2008
DOI: 10.1007/S00239-008-9088-2
Abstract: Mitochondrial genomes show wide variation in their GC content. This study examines the correlations between mitochondrial genome-wide shifts in this feature and a fragment of the cytochrome c oxidase subunit I (COI) gene in animals, plants, and fungi. Because this approach utilizes COI as a sentinel, analyzing sequences from repositories such as GenBank and the Barcode of Life Data System (BOLD) can provide rapid insights into nucleotide usage. With this approach we probe nucleotide composition in a variety of taxonomic groups and establish the degree to which mitochondrial GC content varies among them. We then focus on two groups in particular, the classes Insecta and Aves, which possess the highest and lowest GC content, respectively. We establish that the sentinel approach provides strong indicators of mitochondrial GC content within ergent phyla (R values = 0.86-0.95, p < 0.001, in test cases) and provide evidence that selective pressures acting on GC content extend to noncoding regions of the plant and fungal mitochondrial genomes. We demonstrate that there is considerable variation in GC content of the mitochondrial genome within phyla and at each taxonomic level, leading to a substantial overlap zone in GC content between chordates and invertebrates. Our results provide a novel insight into the mitochondrial genome composition of animals, plants, and fungi and advocate this sentinel technique for the detection of rapid alterations in nucleotide usage as a measure of mitochondrial genome bio ersity.
Publisher: Wiley
Date: 09-07-2018
DOI: 10.1002/ECE3.4268
Publisher: MDPI AG
Date: 07-2023
DOI: 10.3390/RS15133374
Abstract: In intelligent traffic control systems, the features extracted by loop detectors are insufficient to accurately impute missing data. Most of the existing imputation methods use only these extracted features, which leads to the construction of data models that cannot fulfill the required accuracy. This deficiency is the main motivation to propose an enrichment imputation method for loop detectors namely EIM-LD, in which the imputation accuracy is increased for different missing patterns and ratios by introducing a data enrichment technique using statistical multi-class labeling. It first enriches the clean data by adding a statistical multi-class label, including C1…Cn classes. Then, the class of s les in the missed-volume data is labeled using the best data model constructed from the labeled clean data by five different classifiers. Experts of the traffic control department in Isfahan city determined classes of the statistical multi-class label for n = 5 (class labels), and we also developed subclass labels (n = 20) since the number of s les in the subclass labels was sufficient. Next, the enriched data are ided into n datasets, each of them is imputed independently using various imputation methods, and their results are finally merged. To evaluate the impact of using the proposed method, the original data, including missing volumes, are first imputed without our enrichment method. Then, the proposed method’s accuracy is evaluated by considering two class labels and subclass labels. The experimental and statistical results prove that the proposed EIM-LD method can enrich the real data collected by loop detectors, by which the comparative imputation methods construct a more accurate data model. In addition, using subclass labels further enhances the imputation method’s accuracy.
Publisher: Wiley
Date: 11-12-2013
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Elizabeth Clare.