Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/147032
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | A theory for species co-occurrence in interaction networks |
Autor: | Cazelles, Kévin; Araújo, Miguel B. CSIC ORCID; Mouquet, Nicolas; Gravel, Dominique | Palabras clave: | Biogeography Co-occurrence Ecological networks Indirect interactions Null models |
Fecha de publicación: | 2016 | Editor: | Springer Nature | Citación: | Theoretical Ecology 9: 39-48 (2016) | Resumen: | The study of species co-occurrences has been central in community ecology since the foundation of the discipline. Co-occurrence data are, nevertheless, a neglected source of information to model species distributions and biogeographers are still debating about the impact of biotic interactions on species distributions across geographical scales. We argue that a theory of species co-occurrence in ecological networks is needed to better inform interpretation of co-occurrence data, to formulate hypotheses for different community assembly mechanisms, and to extend the analysis of species distributions currently focused on the relationship between occurrences and abiotic factors. The main objective of this paper is to provide the first building blocks of a general theory for species co-occurrences. We formalize the problem with definitions of the different probabilities that are studied in the context of co-occurrence analyses. We analyze three species interactions modules and conduct multi-species simulations in order to document five principles influencing the associations between species within an ecological network: (i) direct interactions impact pairwise co-occurrence, (ii) indirect interactions impact pairwise co-occurrence, (iii) pairwise co-occurrence rarely are symmetric, (iv) the strength of an association decreases with the length of the shortest path between two species, and (v) the strength of an association decreases with the number of interactions a species is experiencing. Our analyses reveal the difficulty of the interpretation of species interactions from co-occurrence data. We discuss whether the inference of the structure of interaction networks is feasible from co-occurrence data. We also argue that species distributions models could benefit from incorporating conditional probabilities of interactions within the models as an attempt to take into account the contribution of biotic interactions to shaping individual distributions of species. | URI: | http://hdl.handle.net/10261/147032 | DOI: | 10.1007/s12080-015-0281-9 | Identificadores: | doi: 10.1007/s12080-015-0281-9 issn: 1874-1746 |
Aparece en las colecciones: | (MNCN) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
87
checked on 18-abr-2024
WEB OF SCIENCETM
Citations
82
checked on 24-feb-2024
Page view(s)
385
checked on 19-abr-2024
Download(s)
128
checked on 19-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.