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15 results on '"Guralnick, R"'

1. The global distribution of known and undiscovered ant biodiversity

Author

Kass, J.M. Guenard, B. Dudley, K.L. Jenkins, C.N. Azuma, F. Fisher, B.L. Parr, C.L. Gibb, H. Longino, J.T. Ward, P.S. Chao, A. Lubertazzi, D. Weiser, M. Jetz, W. Guralnick, R. Blatrix, R. Lauriers, J.D. Donoso, D.A. Georgiadis, C. Gomez, K. Hawkes, P.G. Johnson, R.A. Lattke, J.E. MacGown, J.A. Mackay, W. Robson, S. Sanders, N.J. Dunn, R.R. Economo, E.P. and Kass, J.M. Guenard, B. Dudley, K.L. Jenkins, C.N. Azuma, F. Fisher, B.L. Parr, C.L. Gibb, H. Longino, J.T. Ward, P.S. Chao, A. Lubertazzi, D. Weiser, M. Jetz, W. Guralnick, R. Blatrix, R. Lauriers, J.D. Donoso, D.A. Georgiadis, C. Gomez, K. Hawkes, P.G. Johnson, R.A. Lattke, J.E. MacGown, J.A. Mackay, W. Robson, S. Sanders, N.J. Dunn, R.R. Economo, E.P.

Abstract

Invertebrates constitute the majority of animal species and are critical for ecosystem functioning and services. Nonetheless, global invertebrate biodiversity patterns and their congruences with vertebrates remain largely unknown. We resolve the first high-resolution (∼20-km) global diversity map for a major invertebrate clade, ants, using biodiversity informatics, range modeling, and machine learning to synthesize existing knowledge and predict the distribution of undiscovered diversity. We find that ants and different vertebrate groups have distinct features in their patterns of richness and rarity, underscoring the need to consider a diversity of taxa in conservation. However, despite their phylogenetic and physiological divergence, ant distributions are not highly anomalous relative to variation among vertebrate clades. Furthermore, our models predict that rarity centers largely overlap (78%), suggesting that general forces shape endemism patterns across taxa. This raises confidence that conservation of areas important for small-ranged vertebrates will benefit invertebrates while providing a "treasure map" to guide future discovery. © 2022 American Association for the Advancement of Science. All rights reserved.

Published
2022

2. Expert range maps of global mammal distributions harmonised to three taxonomic authorities

Author

Marsh, CJ, Sica, YV, Burgin, CJ, Dorman, WA, Anderson, RC, del Toro Mijares, I, Vigneron, JG, Barve, V, Dombrowik, VL, Duong, M, Guralnick, R, Hart, JA, Maypole, JK, McCall, K, Ranipeta, A, Schuerkmann, A, Torselli, MA, Lacher, T, Mittermeier, RA, Rylands, AB, Sechrest, W, Wilson, DE, Abba, AM, Aguirre, LF, Arroyo-Cabrales, J, Astua, D, Baker, AM, Braulik, G, Braun, JK, Brito, J, Busher, PE, Burneo, SF, Camacho, MA, Cavallini, P, de Almeida Chiquito, E, Cook, JA, Cserkesz, T, Csorba, G, Cuellar Soto, E, da Cunha Tavares, V, Davenport, TRB, Demere, T, Denys, C, Dickman, CR, Eldridge, MDB, Fernandez-Duque, E, Francis, CM, Frankham, G, Franklin, WL, Freitas, T, Friend, JA, Gadsby, EL, Garbino, GST, Gaubert, P, Giannini, N, Giarla, T, Gilchrist, JS, Gongora, J, Goodman, SM, Gursky-Doyen, S, Hacklander, K, Hafner, MS, Hawkins, M, Helgen, KM, Heritage, S, Hinckley, A, Hintsche, S, Holden, M, Holekamp, KE, Honeycutt, RL, Huffman, BA, Humle, T, Hutterer, R, Ibanez Ulargui, C, Jackson, SM, Janecka, J, Janecka, M, Jenkins, P, Juskaitis, R, Juste, J, Kays, R, Kilpatrick, CW, Kingston, T, Koprowski, JL, Krystufek, B, Lavery, T, Lee, TE, Leite, YLR, Novaes, RLM, Lim, BK, Lissovsky, A, Lopez-Antonanzas, R, Lopez-Baucells, A, MacLeod, CD, Maisels, FG, Mares, MA, Marsh, H, Mattioli, S, Meijaard, E, Monadjem, A, Morton, FB, Musser, G, Nadler, T, Norris, RW, Ojeda, A, Ordonez-Garza, N, Pardinas, UFJ, Patterson, BD, Pavan, A, Pennay, M, Pereira, C, Prado, J, Queiroz, HL, Richardson, M, Riley, EP, Rossiter, SJ, Rubenstein, DI, Ruelas, D, Salazar-Bravo, J, Schai-Braun, S, Schank, CJ, Schwitzer, C, Sheeran, LK, Shekelle, M, Shenbrot, G, Soisook, P, Solari, S, Southgate, R, Superina, M, Taber, AB, Talebi, M, Taylor, P, Vu Dinh, T, Ting, N, Tirira, DG, Tsang, S, Turvey, ST, Valdez, R, Van Cakenberghe, V, Veron, G, Wallis, J, Wells, R, Whittaker, D, Williamson, EA, Wittemyer, G, Woinarski, J, Zinner, D, Upham, NS, Jetz, W, Marsh, CJ, Sica, YV, Burgin, CJ, Dorman, WA, Anderson, RC, del Toro Mijares, I, Vigneron, JG, Barve, V, Dombrowik, VL, Duong, M, Guralnick, R, Hart, JA, Maypole, JK, McCall, K, Ranipeta, A, Schuerkmann, A, Torselli, MA, Lacher, T, Mittermeier, RA, Rylands, AB, Sechrest, W, Wilson, DE, Abba, AM, Aguirre, LF, Arroyo-Cabrales, J, Astua, D, Baker, AM, Braulik, G, Braun, JK, Brito, J, Busher, PE, Burneo, SF, Camacho, MA, Cavallini, P, de Almeida Chiquito, E, Cook, JA, Cserkesz, T, Csorba, G, Cuellar Soto, E, da Cunha Tavares, V, Davenport, TRB, Demere, T, Denys, C, Dickman, CR, Eldridge, MDB, Fernandez-Duque, E, Francis, CM, Frankham, G, Franklin, WL, Freitas, T, Friend, JA, Gadsby, EL, Garbino, GST, Gaubert, P, Giannini, N, Giarla, T, Gilchrist, JS, Gongora, J, Goodman, SM, Gursky-Doyen, S, Hacklander, K, Hafner, MS, Hawkins, M, Helgen, KM, Heritage, S, Hinckley, A, Hintsche, S, Holden, M, Holekamp, KE, Honeycutt, RL, Huffman, BA, Humle, T, Hutterer, R, Ibanez Ulargui, C, Jackson, SM, Janecka, J, Janecka, M, Jenkins, P, Juskaitis, R, Juste, J, Kays, R, Kilpatrick, CW, Kingston, T, Koprowski, JL, Krystufek, B, Lavery, T, Lee, TE, Leite, YLR, Novaes, RLM, Lim, BK, Lissovsky, A, Lopez-Antonanzas, R, Lopez-Baucells, A, MacLeod, CD, Maisels, FG, Mares, MA, Marsh, H, Mattioli, S, Meijaard, E, Monadjem, A, Morton, FB, Musser, G, Nadler, T, Norris, RW, Ojeda, A, Ordonez-Garza, N, Pardinas, UFJ, Patterson, BD, Pavan, A, Pennay, M, Pereira, C, Prado, J, Queiroz, HL, Richardson, M, Riley, EP, Rossiter, SJ, Rubenstein, DI, Ruelas, D, Salazar-Bravo, J, Schai-Braun, S, Schank, CJ, Schwitzer, C, Sheeran, LK, Shekelle, M, Shenbrot, G, Soisook, P, Solari, S, Southgate, R, Superina, M, Taber, AB, Talebi, M, Taylor, P, Vu Dinh, T, Ting, N, Tirira, DG, Tsang, S, Turvey, ST, Valdez, R, Van Cakenberghe, V, Veron, G, Wallis, J, Wells, R, Whittaker, D, Williamson, EA, Wittemyer, G, Woinarski, J, Zinner, D, Upham, NS, and Jetz, W

Abstract

AIM: Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the Handbook of the Mammals of the World (HMW) and the Illustrated Checklist of the Mammals of the World (CMW). LOCATION: Global. TAXON: All extant mammal species. METHODS: Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species). RESULTS: Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use. MAIN CONCLUSION: Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.

Published
2022

3. Comparative Phylogenetics of Papilio Butterfly Wing Shape and Size Demonstrates Independent Hindwing and Forewing Evolution

Author

Owens, H. L., Lewis, D. S., Condamine, F. L., Kawahara, A. Y., Guralnick, R. P., Owens, H. L., Lewis, D. S., Condamine, F. L., Kawahara, A. Y., and Guralnick, R. P.

Abstract

The complex forces that shape butterfly wings have long been a subject of experimental and comparative research. Butterflies use their wings for flight, camouflage, mate recognition, warning, and mimicry. However, general patterns and correlations among wing shape and size evolution are still poorly understood. We collected geometric morphometric measurements from over 1400 digitized museum specimens of Papilio swallowtails and combined them with phylogenetic data to test two hypotheses: 1) forewing shape and size evolve independently of hindwing shape and size and 2) wing size evolves more quickly than wing shape. We also determined the major axes of wing shape variation and discovered that most shape variability occurs in hindwing tails and adjacent areas. We conclude that forewing shape and size are functionally and biomechanically constrained, whereas hindwings are more labile, perhaps in response to disruptive selective pressure for Batesian mimicry or against predation. The development of a significant, re-usable, digitized data resource will enable further investigation on tradeoffs between flight performance and ecological selective pressures, along with the degree to which intraspecific, local-scale selection may explain macroevolutionary patterns. [Batesian mimicry; Lepidoptera; geometric morphometrics; museum specimens.].

Published
2020

4. Using semistructured surveys to improve citizen science data for monitoring biodiversity

Author

Kelling, S., Johnston, A., Bonn, Aletta, Fink, D., Ruiz-Gutierrez, V., Bonney, R., Fernandez, M., Hochachka, W.M., Julliard, R., Kraemer, Roland, Guralnick, R., Kelling, S., Johnston, A., Bonn, Aletta, Fink, D., Ruiz-Gutierrez, V., Bonney, R., Fernandez, M., Hochachka, W.M., Julliard, R., Kraemer, Roland, and Guralnick, R.

Abstract

Biodiversity is being lost at an unprecedented rate, and monitoring is crucial for understanding the causal drivers and assessing solutions. Most biodiversity monitoring data are collected by volunteers throughcitizen science projects, and often crucial information is lacking to account for the inevitable biases that observers introduce during data collection. We contend that citizen science projects intended to supportbiodiversity monitoring must gather information about the observationprocess as well as species occurrence. We illustrate this using eBird, a global citizen science project that collects information on bird occurrences as well as vital contextual information on the observation process while maintaining broad participation. Our fundamental argument is that regardless of what species are being monitored, when citizen science projects collect a small set of basic information about how participants make their observations, the scientific value of the data collected will be dramatically improved.

Published
2019

5. Essential biodiversity variables for mapping and monitoring species populations

Author

Jetz, W., McGeoch, M.A., Guralnick, R., Ferrier, S., Beck, J., Costello, M.J., Fernandez, M., Geller, G.N., Keil, P., Merow, C., Meyer, C., Muller-Karger, F.E., Pereira, H.M., Regan, E.C., Schmeller, Dirk Sven, Turak, E., Jetz, W., McGeoch, M.A., Guralnick, R., Ferrier, S., Beck, J., Costello, M.J., Fernandez, M., Geller, G.N., Keil, P., Merow, C., Meyer, C., Muller-Karger, F.E., Pereira, H.M., Regan, E.C., Schmeller, Dirk Sven, and Turak, E.

Abstract

Species distributions and abundances are undergoing rapid changes worldwide. This highlights the significance of reliable, integrated information for guiding and assessing actions and policies aimed at managing and sustaining the many functions and benefits of species. Here we synthesize the types of data and approaches that are required to achieve such an integration and conceptualize ‘essential biodiversity variables’ (EBVs) for a unified global capture of species populations in space and time. The inherent heterogeneity and sparseness of raw biodiversity data are overcome by the use of models and remotely sensed covariates to inform predictions that are contiguous in space and time and global in extent. We define the species population EBVs as a space–time–species–gram (cube) that simultaneously addresses the distribution or abundance of multiple species, with its resolution adjusted to represent available evidence and acceptable levels of uncertainty. This essential information enables the monitoring of single or aggregate spatial or taxonomic units at scales relevant to research and decision-making. When combined with ancillary environmental or species data, this fundamental species population information directly underpins a range of biodiversity and ecosystem function indicators. The unified concept we present links disparate data to downstream uses and informs a vision for species population monitoring in which data collection is closely integrated with models and infrastructure to support effective biodiversity assessment.

Published
2019

6. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Author

Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., Appeltans, W., Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., and Appeltans, W.

Abstract

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined s

Published
2018

7. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Author

Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., Appeltans, W., Muller-Karger, F. E., Hestir, E., Ade, C., Turpie, K., Roberts, D., Siegel, D., Miller, R., Humm, D., Izenberg, N., Keller, M., Morgan, F., Frouin R., R., Dekker, A., Gardner, R., Goodman, J., Schaeffer, B., Franz, B., Pahlevan, N., Mannino, A. G., Concha, J. A., Ackleson, S. G., Najjar, R., Cavanaugh, K., Romanou, A., Tzortziou, M., Boss, E., Pavlick, R., Schimel, D., Freeman, A., Rousseaux, R. S., Dunne, J., Long, M., Klein, E., McKinley, G., Letelier, R., Roffer, M., Goes, J., Bracher, Astrid, Arrigo, K. R., Dierssen, H., Zhang, X., Davis, F., Best, B., Guralnick, R., Moisan, J., Sosik, H. M., Kavanaugh, M., Kudela, R., Mouw, C. B., Barnard, A., Palacios, S., Roessler, C., Drakou, E., and Appeltans, W.

Abstract

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined s

Published
2018

8. On the maximal number of coprime subdegrees in finite primitive permutation groups

Author

Dolfi, S, Guralnick, R, Praeger, C, Spiga, P, Praeger, CE, SPIGA, PABLO, Dolfi, S, Guralnick, R, Praeger, C, Spiga, P, Praeger, CE, and SPIGA, PABLO

Abstract

The subdegrees of a transitive permutation group are the orbit lengths of a point stabilizer. For a finite primitive permutation group which is not cyclic of prime order, the largest subdegree shares a non-trivial common factor with each non-trivial subdegree. On the other hand, it is possible for non-trivial subdegrees of primitive groups to be coprime, a famous example being the rank 5 action of the small Janko group J1 on 266 points which has subdegrees of lengths 11 and 12. We prove that, for every finite primitive group, the maximal size of a set of pairwise coprime non-trivial subdegrees is at most 2.

Published
2016

9. Dealing with Trade-Offs in Destructive Sampling Designs for Occupancy Surveys

Author

Guralnick, R, Canessa, S, Heard, GW, Robertson, P, Sluiter, IRK, Guralnick, R, Canessa, S, Heard, GW, Robertson, P, and Sluiter, IRK

Abstract

Occupancy surveys should be designed to minimise false absences. This is commonly achieved by increasing replication or increasing the efficiency of surveys. In the case of destructive sampling designs, in which searches of individual microhabitats represent the repeat surveys, minimising false absences leads to an inherent trade-off. Surveyors can sample more low quality microhabitats, bearing the resultant financial costs and producing wider-spread impacts, or they can target high quality microhabitats were the focal species is more likely to be found and risk more severe impacts on local habitat quality. We show how this trade-off can be solved with a decision-theoretic approach, using the Millewa Skink Hemiergis millewae from southern Australia as a case study. Hemiergis millewae is an endangered reptile that is best detected using destructive sampling of grass hummocks. Within sites that were known to be occupied by H. millewae, logistic regression modelling revealed that lizards were more frequently detected in large hummocks. If this model is an accurate representation of the detection process, searching large hummocks is more efficient and requires less replication, but this strategy also entails destruction of the best microhabitats for the species. We developed an optimisation tool to calculate the minimum combination of the number and size of hummocks to search to achieve a given cumulative probability of detecting the species at a site, incorporating weights to reflect the sensitivity of the results to a surveyor's priorities. The optimisation showed that placing high weight on minimising volume necessitates impractical replication, whereas placing high weight on minimising replication requires searching very large hummocks which are less common and may be vital for H. millewae. While destructive sampling methods are sometimes necessary, surveyors must be conscious of the ecological impacts of these methods. This study provides a simple tool for identify

Published
2015

12. Specimen collection: An essential tool

Author

Rocha, L, Aleixo, A, Allen, G, Almeda, F, Baldwin, C, Barclay, M, Bates, J, Bauer, A, Benzoni, F, Berns, C, Berumen, M, Blackburn, D, Blum, S, Bolaños, F, Bowie, R, Britz, R, Brown, R, Cadena, C, Carpenter, K, Ceríaco, L, Chakrabarty, P, Chaves, G, Choat, J, Clements, K, Collette, B, Collins, A, Coyne, J, Cracraft, J, Daniel, T, de Carvalho, M, de Queiroz, K, Di Dario, F, Drewes, R, Dumbacher, J, Engilis Jr., A, Erdmann, M, Eschmeyer, W, Feldman, C, Fisher, B, Fjeldså, J, Fritsch, P, Fuchs, J, Getahun, A, Gill, A, Gomon, M, Gosliner, T, Graves, G, Griswold, C, Guralnick, R, Hartel, K, Helgen, K, Ho, H, Iskandar, D, Iwamoto, T, Jaafar, Z, James, H, Johnson, D, Kavanaugh, D, Knowlton, N, Lacey, E, Larson, H, Last, P, Leis, J, Lessios, H, Liebherr, J, Lowman, M, Mahler, D, Mamonekene, V, Matsuura, K, Mayer, G, Mays Jr., H, Mccosker, J, Mcdiarmid, R, Mcguire, J, Miller, M, Mooi, R, Moritz, C, Myers, P, Nachman, M, Nussbaum, R, Ó Foighil, D, Parenti, L, Parham, J, Paul, E, Paulay, G, Pérez-Emán, J, Pérez-Matus, A, Poe, S, Pogonoski, J, Rabosky, D, Randall, J, Reimer, J, Robertson, D, Rödel, M, Rodrigues, M, Roopnarine, P, Rüber, L, Ryan, M, Sheldon, F, Shinohara, G, Short, A, Simison, W, Smith-Vaniz, W, Springer, V, Stiassny, M, Tello, J, Thompson, C, Trnski, T, Tucker, P, Valqui, T, Vecchione, M, Verheyen, E, Wainwright, P, Wheeler, T, White, W, Will, K, Williams, J, Williams, G, Wilson, E, Winker, K, Winterbottom, R, Witt, C, Rocha, LA, Baldwin, CC, Barclay, MVL, Bates, JM, Bauer, AM, Berns, CM, Berumen, ML, Blackburn, DC, Bowie, RCK, Brown, RM, Cadena, CD, Ceríaco, LM, Choat, JH, Clements, KD, Collette, BB, de Carvalho, MR, Dumbacher, JP, Engilis Jr. , A, Erdmann, MV, Feldman, CR, Fisher, BL, Fritsch, PW, Graves, GR, Griswold, CE, Helgen, KM, Iskandar, DT, James, HF, Larson, HK, Leis, JM, Mahler, DL, Mayer, GC, Mays Jr. , H, McCosker, J, McDiarmid, RW, McGuire, J, Miller, MJ, Mooi, RD, Nachman, MW, Nussbaum, RA, Parenti, LR, Parham, JF, Rabosky, DL, Randall, JE, Reimer, JD, Robertson, DR, Rödel, M-O, Rodrigues, MT, Ryan, MJ, Simison, WB, Smith-Vaniz, WF, Springer, VG, Tello, JG, Thompson, CW, Wainwright, PC, Wheeler, TA, White, WT, Williams, JT, Wilson, EO, Witt, CC, Rocha, L, Aleixo, A, Allen, G, Almeda, F, Baldwin, C, Barclay, M, Bates, J, Bauer, A, Benzoni, F, Berns, C, Berumen, M, Blackburn, D, Blum, S, Bolaños, F, Bowie, R, Britz, R, Brown, R, Cadena, C, Carpenter, K, Ceríaco, L, Chakrabarty, P, Chaves, G, Choat, J, Clements, K, Collette, B, Collins, A, Coyne, J, Cracraft, J, Daniel, T, de Carvalho, M, de Queiroz, K, Di Dario, F, Drewes, R, Dumbacher, J, Engilis Jr., A, Erdmann, M, Eschmeyer, W, Feldman, C, Fisher, B, Fjeldså, J, Fritsch, P, Fuchs, J, Getahun, A, Gill, A, Gomon, M, Gosliner, T, Graves, G, Griswold, C, Guralnick, R, Hartel, K, Helgen, K, Ho, H, Iskandar, D, Iwamoto, T, Jaafar, Z, James, H, Johnson, D, Kavanaugh, D, Knowlton, N, Lacey, E, Larson, H, Last, P, Leis, J, Lessios, H, Liebherr, J, Lowman, M, Mahler, D, Mamonekene, V, Matsuura, K, Mayer, G, Mays Jr., H, Mccosker, J, Mcdiarmid, R, Mcguire, J, Miller, M, Mooi, R, Moritz, C, Myers, P, Nachman, M, Nussbaum, R, Ó Foighil, D, Parenti, L, Parham, J, Paul, E, Paulay, G, Pérez-Emán, J, Pérez-Matus, A, Poe, S, Pogonoski, J, Rabosky, D, Randall, J, Reimer, J, Robertson, D, Rödel, M, Rodrigues, M, Roopnarine, P, Rüber, L, Ryan, M, Sheldon, F, Shinohara, G, Short, A, Simison, W, Smith-Vaniz, W, Springer, V, Stiassny, M, Tello, J, Thompson, C, Trnski, T, Tucker, P, Valqui, T, Vecchione, M, Verheyen, E, Wainwright, P, Wheeler, T, White, W, Will, K, Williams, J, Williams, G, Wilson, E, Winker, K, Winterbottom, R, Witt, C, Rocha, LA, Baldwin, CC, Barclay, MVL, Bates, JM, Bauer, AM, Berns, CM, Berumen, ML, Blackburn, DC, Bowie, RCK, Brown, RM, Cadena, CD, Ceríaco, LM, Choat, JH, Clements, KD, Collette, BB, de Carvalho, MR, Dumbacher, JP, Engilis Jr. , A, Erdmann, MV, Feldman, CR, Fisher, BL, Fritsch, PW, Graves, GR, Griswold, CE, Helgen, KM, Iskandar, DT, James, HF, Larson, HK, Leis, JM, Mahler, DL, Mayer, GC, Mays Jr. , H, McCosker, J, McDiarmid, RW, McGuire, J, Miller, MJ, Mooi, RD, Nachman, MW, Nussbaum, RA, Parenti, LR, Parham, JF, Rabosky, DL, Randall, JE, Reimer, JD, Robertson, DR, Rödel, M-O, Rodrigues, MT, Ryan, MJ, Simison, WB, Smith-Vaniz, WF, Springer, VG, Tello, JG, Thompson, CW, Wainwright, PC, Wheeler, TA, White, WT, Williams, JT, Wilson, EO, and Witt, CC

Published
2014

13. Coprime subdegrees for primitive permutation groups and completely reducible linear groups

Author

Dolfi, S, Guralnick, R, Praeger, C, Spiga, P, SPIGA, PABLO, Dolfi, S, Guralnick, R, Praeger, C, Spiga, P, and SPIGA, PABLO

Abstract

In this paper we answer a question of Gabriel Navarro about orbit sizes of a finite linear group H aS dagger GL(V) acting completely reducibly on a vector space V: if the H-orbits containing the vectors a and b have coprime lengths m and n, we prove that the H-orbit containing a + b has length mn. Such groups H are always reducible if n,m > 1. In fact, if H is an irreducible linear group, we show that, for every pair of non-zero vectors, their orbit lengths have a non-trivial common factor. In the more general context of finite primitive permutation groups G, we show that coprime non-identity subdegrees are possible if and only if G is of O'Nan-Scott type AS, PA or TW. In a forthcoming paper we will show that, for a finite primitive permutation group, a set of pairwise coprime subdegrees has size at most 2. Finally, as an application of our results, we prove that a field has at most 2 finite extensions of pairwise coprime indices with the same normal closure

Published
2013

14. The minimum information about a genome sequence (MIGS) specification

Author

Field, D., Garrity, G., Gray, T., Morrison, N., Selengut, J., Sterk, P., Tatusova, T., Thomson, N., Allen, M.J., Angiuoli, S.V., Ashburner, M., Axelrod, N., Baldauf, S., Ballard, S., Boore, J., Cochrane, G., Cole, J., Dawyndt, P., De Vos, P., dePamphilis, C., Edwards, R., Faruque, N., Feldman, R., Gilbert, J., Gilna, P., Glöckner, F.O., Goldstein, P., Guralnick, R., Haft, D., Hancock, D., Hermjakob, H., Hertz-Fowler, C., Hugenholtz, P., Joint, I., Kagan, L., Kane, M., Kennedy, J., Kowalchuk, G.A., Kottmann, R., Kolker, E., Kravitz, S., Kyrpides, N., Leebens-Mack, J., Lewis, S.E., Li, K.W., Lister, A.L., Lord, P., Maltsev, N., Markowitz, V., Martiny, J., Methe, B., Mizrachi, I., Moxon, R., Nelson, K.E., Parkhill, J., Proctor, L., White, O., Sansone, S-A., Spiers, A., Stevens, R., Swift, P., Taylor, C., Tateno, Y., Tett, A., Turner, S., Ussery, D., Vaughan, B., Ward, N., Whetzel, T., GIil, I.S., Wilson, G., Wipat, A., Field, D., Garrity, G., Gray, T., Morrison, N., Selengut, J., Sterk, P., Tatusova, T., Thomson, N., Allen, M.J., Angiuoli, S.V., Ashburner, M., Axelrod, N., Baldauf, S., Ballard, S., Boore, J., Cochrane, G., Cole, J., Dawyndt, P., De Vos, P., dePamphilis, C., Edwards, R., Faruque, N., Feldman, R., Gilbert, J., Gilna, P., Glöckner, F.O., Goldstein, P., Guralnick, R., Haft, D., Hancock, D., Hermjakob, H., Hertz-Fowler, C., Hugenholtz, P., Joint, I., Kagan, L., Kane, M., Kennedy, J., Kowalchuk, G.A., Kottmann, R., Kolker, E., Kravitz, S., Kyrpides, N., Leebens-Mack, J., Lewis, S.E., Li, K.W., Lister, A.L., Lord, P., Maltsev, N., Markowitz, V., Martiny, J., Methe, B., Mizrachi, I., Moxon, R., Nelson, K.E., Parkhill, J., Proctor, L., White, O., Sansone, S-A., Spiers, A., Stevens, R., Swift, P., Taylor, C., Tateno, Y., Tett, A., Turner, S., Ussery, D., Vaughan, B., Ward, N., Whetzel, T., GIil, I.S., Wilson, G., and Wipat, A.

Published
2008

15. The minimum information about a genome sequence (MIGS) specification

Author

Field, D., Garrity, G., Gray, T., Morrison, N., Selengut, J., Sterk, P., Tatusova, T., Thomson, N., Allen, M.J., Angiuoli, S.V., Ashburner, M., Axelrod, N., Baldauf, S., Ballard, S., Boore, J., Cochrane, G., Cole, J., Dawyndt, P., De Vos, P., dePamphilis, C., Edwards, R., Faruque, N., Feldman, R., Gilbert, J., Gilna, P., Glöckner, F.O., Goldstein, P., Guralnick, R., Haft, D., Hancock, D., Hermjakob, H., Hertz-Fowler, C., Hugenholtz, P., Joint, I., Kagan, L., Kane, M., Kennedy, J., Kowalchuk, G.A., Kottmann, R., Kolker, E., Kravitz, S., Kyrpides, N., Leebens-Mack, J., Lewis, S.E., Li, K.W., Lister, A.L., Lord, P., Maltsev, N., Markowitz, V., Martiny, J., Methe, B., Mizrachi, I., Moxon, R., Nelson, K.E., Parkhill, J., Proctor, L., White, O., Sansone, S-A., Spiers, A., Stevens, R., Swift, P., Taylor, C., Tateno, Y., Tett, A., Turner, S., Ussery, D., Vaughan, B., Ward, N., Whetzel, T., GIil, I.S., Wilson, G., Wipat, A., Field, D., Garrity, G., Gray, T., Morrison, N., Selengut, J., Sterk, P., Tatusova, T., Thomson, N., Allen, M.J., Angiuoli, S.V., Ashburner, M., Axelrod, N., Baldauf, S., Ballard, S., Boore, J., Cochrane, G., Cole, J., Dawyndt, P., De Vos, P., dePamphilis, C., Edwards, R., Faruque, N., Feldman, R., Gilbert, J., Gilna, P., Glöckner, F.O., Goldstein, P., Guralnick, R., Haft, D., Hancock, D., Hermjakob, H., Hertz-Fowler, C., Hugenholtz, P., Joint, I., Kagan, L., Kane, M., Kennedy, J., Kowalchuk, G.A., Kottmann, R., Kolker, E., Kravitz, S., Kyrpides, N., Leebens-Mack, J., Lewis, S.E., Li, K.W., Lister, A.L., Lord, P., Maltsev, N., Markowitz, V., Martiny, J., Methe, B., Mizrachi, I., Moxon, R., Nelson, K.E., Parkhill, J., Proctor, L., White, O., Sansone, S-A., Spiers, A., Stevens, R., Swift, P., Taylor, C., Tateno, Y., Tett, A., Turner, S., Ussery, D., Vaughan, B., Ward, N., Whetzel, T., GIil, I.S., Wilson, G., and Wipat, A.

Published
2008

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