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Towards establishment of a centralized spider traits database
- Source :
- Journal of Arachnology, Journal of Arachnology, American Arachnological Society, 2020, 48 (2), pp.103-109. ⟨10.1636/0161-8202-48.2.103⟩, Journal of Arachnology, 2020, 48 (2), pp.103-109. ⟨10.1636/0161-8202-48.2.103⟩, The Journal of arachnology 48 (2020): 103–109. doi:10.1636/0161-8202-48.2.103, info:cnr-pdr/source/autori:Lowe, Elizabeth C.; Wolff, Jonas O.; Aceves-Aparicio, Alfonso; Birkhofer, Klaus; Branco, Vasco Veiga; Cardoso, Pedro; Chichorro, Filipe; Fukushima, Caroline Sayuri; Gonçalves-Souza, Thiago; Haddad, Charles R.; Isaia, Marco; Krehenwinkel, Henrik; Audisio, Tracy Lynn; MacÍas-Hernández, Nuria; Malumbres-Olarte, Jagoba; Mammola, Stefano; McLean, Donald James; Michalko, Radek; Nentwig, Wolfgang; Pekár, Stano; Pétillon, Julien; Privet, Kaïna; Scott, Catherine; Uhl, Gabriele; Urbano-Tenorio, Fernando; Wong, Boon Hui; Herberstein, Marie E./titolo:Towards establishment of a centralized spider traits database/doi:10.1636%2F0161-8202-48.2.103/rivista:The Journal of arachnology/anno:2020/pagina_da:103/pagina_a:109/intervallo_pagine:103–109/volume:48, Digital.CSIC. Repositorio Institucional del CSIC, instname
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- A main goal of ecological and evolutionary biology is understanding and predicting interactions between populations and both abiotic and biotic environments, the spatial and temporal variation of these interactions, and the effects on population dynamics and performance. Trait-based approaches can help to model these interactions and generate a comprehensive understanding of ecosystem functioning. A central tool is the collation of databases that include species trait information. Such centralized databases have been set up for a number of organismal groups but is lacking for one of the most important groups of predators in terrestrial ecosystems – spiders. Here we promote the collation of an open spider traits database, integrated into the global Open Traits Network. We explore the current collation of spider data and cover the logistics of setting up a global database, including which traits to include, the source of data, how to input data, database governance, geographic cover, accessibility, quality control and how to make the database sustainable long-term. Finally, we explore the scope of research questions that could be investigated using a global spider traits database.<br />This paper was written as a result of a workshop at the International Congress of Arachnology in Christchurch, New Zealand 2019. We would like to thank the ICA organizing committee and the International Society of Arachnology for their support, the Macquarie University Species Spectrum Research Center and a Pentti Tuomikoski Grant from the Finnish Museum of Natural History for financial support. JOW was supported by a Discovery Early Career Researcher Award of the Australian Research Council (DE190101338).
- Subjects :
- 0106 biological sciences
comparative analysis
Ecology (disciplines)
Population
010607 zoology
Functional diversity
Biology
functional ecology
Evolutionary ecology
ECOLOGY
computer.software_genre
010603 evolutionary biology
01 natural sciences
DISPERSAL
DRIVERS
BETA-DIVERSITY
education
Phenotypic traits, functional diversity, functional ecology, ecosystem functioning, evolutionary ecology, comparative analysis
Spider
Functional ecology
education.field_of_study
Database
Phenotypic traits
Comparative analysis
Phenotypic trait
15. Life on land
functional diversity
EVOLUTION
CLIMATE
SIZE
Insect Science
ecosystem functioning
1181 Ecology, evolutionary biology
evolutionary ecology
Ecosystem functioning
Trait
Biological dispersal
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
computer
Subjects
Details
- Language :
- English
- ISSN :
- 19010133 and 01618202
- Database :
- OpenAIRE
- Journal :
- Journal of Arachnology, Journal of Arachnology, American Arachnological Society, 2020, 48 (2), pp.103-109. ⟨10.1636/0161-8202-48.2.103⟩, Journal of Arachnology, 2020, 48 (2), pp.103-109. ⟨10.1636/0161-8202-48.2.103⟩, The Journal of arachnology 48 (2020): 103–109. doi:10.1636/0161-8202-48.2.103, info:cnr-pdr/source/autori:Lowe, Elizabeth C.; Wolff, Jonas O.; Aceves-Aparicio, Alfonso; Birkhofer, Klaus; Branco, Vasco Veiga; Cardoso, Pedro; Chichorro, Filipe; Fukushima, Caroline Sayuri; Gonçalves-Souza, Thiago; Haddad, Charles R.; Isaia, Marco; Krehenwinkel, Henrik; Audisio, Tracy Lynn; MacÍas-Hernández, Nuria; Malumbres-Olarte, Jagoba; Mammola, Stefano; McLean, Donald James; Michalko, Radek; Nentwig, Wolfgang; Pekár, Stano; Pétillon, Julien; Privet, Kaïna; Scott, Catherine; Uhl, Gabriele; Urbano-Tenorio, Fernando; Wong, Boon Hui; Herberstein, Marie E./titolo:Towards establishment of a centralized spider traits database/doi:10.1636%2F0161-8202-48.2.103/rivista:The Journal of arachnology/anno:2020/pagina_da:103/pagina_a:109/intervallo_pagine:103–109/volume:48, Digital.CSIC. Repositorio Institucional del CSIC, instname
- Accession number :
- edsair.doi.dedup.....49e5be1529d8a0740a0c7242693cb755
- Full Text :
- https://doi.org/10.1636/0161-8202-48.2.103⟩