Conde Dalia A.

No Thumbnail Available
Last Name
Conde
First Name
Dalia A.
ORCID
0000-0002-7923-8163

Filters

2014 - 2019 1 2020 - 2022 1
2
2
Reset filters

Settings

Search Results

Now showing 1 - 2 of 2
  • Article
    The Earth BioGenome Project 2020: starting the clock
    (National Academy of Sciences, 2022-01-18) Lewin, Harris A. ; Richards, Stephen ; Miguel L. Allende ; Lieberman Aiden, Erez ; Archibald, John M. ; Bálint, Miklós ; Barker, Katharine B. ; Baumgartner, Bridget ; Belov, Katherine ; Bertorelle, Giorgio ; Blaxter, Mark ; Cai, Jing ; Caperello, Nicolette D. ; Carlson, Keith ; Castilla-Rubio, Juan Carlos ; Chaw, Shu-Miaw ; Chen, Lei ; Childers, Anna K. ; Coddington, Jonathan ; Conde, Dalia A. ; Corominas, Montserrat ; Crandall, Keith A. ; Crawford, Andrew J. ; DiPalma, Federica ; Durbin, Richard ; Ebenezer, ThankGod E. ; Edwards, Scott V. ; Fedrigo, Olivier ; Flicek, Paul ; Formenti, Giulio ; Gibbs, Richard A. ; Gilbert, M. Thomas P. ; Goldstein, Melissa M. ; Graves, Jennifer Marshall ; Greely, Henry T. ; Grigoriev, Igor V. ; Hackett, Kevin J. ; Hall, Neil ; Haussler, David ; Helgen, Kristofer M. ; Hogg, Carolyn J. ; Isobe, Sachiko ; Jakobsen, Kjetill S. ; Janke, Axel ; Jarvis, Erich ; Johnson, Warren E. ; Jones, Steven J. M. ; Karlsson, Elinor K. ; Kersey, Paul J. ; Kim, Jin-Hyoung ; Kress, W. John ; Kuraku, Shigehiro ; Lawniczak, Mara K. N. ; Leebens-Mack, James H. ; Li, Xueyan ; Lindblad-Toh, Kerstin ; Liu, Xin ; Lopez, Jose V. ; Marques-Bonet, Tomas ; Mazard, Sophie ; Mazet, Jonna A. K. ; Mazzoni, Camila J. ; Myers, Eugene ; O’Neill, Rachel J. ; Paez, Sadye ; Park, Hyun ; Robinson, Gene E. ; Roquet, Cristina ; Ryder, Oliver A. ; Sabir, Jamal S. M. ; Shaffer, H. Bradley ; Shank, Timothy M. ; Sherkow, Jacob S. ; Soltis, Pamela S. ; Tang, Boping ; Tedersoo, Leho ; Uliano-Silva, Marcela ; Wang, Kun ; Wei, Xiaofeng ; Wetzer, Regina ; Wilson, Julia L. ; Xu, Xun ; Yang, Huanming ; Yoder, Anne D. ; Zhang, Guojie
    November 2020 marked 2 y since the launch of the Earth BioGenome Project (EBP), which aims to sequence all known eukaryotic species in a 10-y timeframe. Since then, significant progress has been made across all aspects of the EBP roadmap, as outlined in the 2018 article describing the project’s goals, strategies, and challenges (1). The launch phase has ended and the clock has started on reaching the EBP’s major milestones. This Special Feature explores the many facets of the EBP, including a review of progress, a description of major scientific goals, exemplar projects, ethical legal and social issues, and applications of biodiversity genomics. In this Introduction, we summarize the current status of the EBP, held virtually October 5 to 9, 2020, including recent updates through February 2021. References to the nine Perspective articles included in this Special Feature are cited to guide the reader toward deeper understanding of the goals and challenges facing the EBP.
  • Article
    The COMPADRE Plant Matrix Database : an open online repository for plant demography
    (John Wiley & Sons, 2014-11-09) Salguero-Gomez, Roberto ; Jones, Owen R. ; Archer, C. Ruth ; Buckley, Yvonne M. ; Che-Castaldo, Judy ; Caswell, Hal ; Hodgson, David ; Scheuerlein, Alexander ; Conde, Dalia A. ; Brinks, Erik ; de Buhr, Hendrik ; Farack, Claudia ; Gottschalk, France ; Hartmann, Alexander ; Henning, Anne ; Hoppe, Gabriel ; Romer, Gesa ; Runge, Jens ; Ruoff, Tara ; Wille, Julia ; Zeh, Stefan ; Davison, Raziel ; Vieregg, Dirk ; Baudisch, Annette ; Altwegg, Res ; Colchero, Fernando ; Dong, Ming ; de Kroon, Hans ; Lebreton, Jean-Dominique ; Metcalf, Charlotte J. E. ; Neel, Maile M. ; Parker, Ingrid M. ; Takada, Takenori ; Valverde, Teresa ; Velez-Espino, Luis A. ; Wardle, Glenda M. ; Franco, Miguel ; Vaupel, James W.
    Schedules of survival, growth and reproduction are key life-history traits. Data on how these traits vary among species and populations are fundamental to our understanding of the ecological conditions that have shaped plant evolution. Because these demographic schedules determine population growth or decline, such data help us understand how different biomes shape plant ecology, how plant populations and communities respond to global change and how to develop successful management tools for endangered or invasive species. Matrix population models summarize the life cycle components of survival, growth and reproduction, while explicitly acknowledging heterogeneity among classes of individuals in the population. Matrix models have comparable structures, and their emergent measures of population dynamics, such as population growth rate or mean life expectancy, have direct biological interpretations, facilitating comparisons among populations and species. Thousands of plant matrix population models have been parameterized from empirical data, but they are largely dispersed through peer-reviewed and grey literature, and thus remain inaccessible for synthetic analysis. Here, we introduce the compadre Plant Matrix Database version 3.0, an open-source online repository containing 468 studies from 598 species world-wide (672 species hits, when accounting for species studied in more than one source), with a total of 5621 matrices. compadre also contains relevant ancillary information (e.g. ecoregion, growth form, taxonomy, phylogeny) that facilitates interpretation of the numerous demographic metrics that can be derived from the matrices. Large collections of data allow broad questions to be addressed at the global scale, for example, in genetics (genbank), functional plant ecology (try, bien, d3) and grassland community ecology (nutnet). Here, we present compadre, a similarly data-rich and ecologically relevant resource for plant demography. Open access to this information, its frequent updates and its integration with other online resources will allow researchers to address timely and important ecological and evolutionary questions.