Ecological networks: delving into the architecture of biodiversity

Author

Rúben Heleno, Cristina García, Pedro Jordano et al.

Published

January 1, 2014

Doi

10.1098/rsbl.2013.1000

Rúben Heleno, Cristina García, Pedro Jordano et al 2014. Ecological networks: delving into the architecture of biodiversity. Biology Letters 10: 20131000. https://doi.org/10.1098/rsbl.2013.1000

Publication Details

Published in: Biology Letters  Open Access: Yes

BibTeX

@article{RN57491,
   author = {Heleno, Ruben and Garcia, Cristina and Jordano, Pedro and Traveset, Anna and Gómez, José Maria and Blüthgen, Nico and Memmott, Jane and Moora, Mari and Cerdeira, Jorge and Rodríguez-Echeverría, Susana and Freitas, Helena and Olesen, Jens M},
   title = {Ecological networks: delving into the architecture of biodiversity.},
   journal = {Biology letters},
   volume = {10},
   pages = {20131000},
   abstract = {In recent years, the analysis of interaction networks has grown popular as a framework to explore ecological processes and the relationships between community structure and its functioning. The field has rapidly grown from its infancy to a vibrant youth, as reflected in the variety and quality of the discussions held at the first international symposium on Ecological Networks in Coimbra-Portugal (23-25 October 2013). The meeting gathered 170 scientists from 22 countries, who presented data from a broad geographical range, and covering all stages of network analyses, from sampling strategies to effective ways of communicating results, presenting new analytical tools, incorporation of temporal and spatial dynamics, new applications and visualization tools.(1) During the meeting it became evident that while many of the caveats diagnosed in early network studies are successfully being tackled, new challenges arise, attesting to the health of the discipline.},
   keywords = {bioinformatics
ecology
environmental science
plant science
systems biology},
   ISSN = {1744-957X (Electronic)\r1744-9561 (Linking)},
   DOI = {10.1098/rsbl.2013.1000},
   url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3917341/pdf/rsbl20131000.pdf},
   year = {2014},
   type = {Journal Article}
}