CAN ECOLOGICAL INTERACTIONS BE INFERRED FROM SPATIAL DATA?

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dc.contributor.authorStephens, Christopher R.
dc.contributor.authorGonzalez-Salazar, Constantino
dc.contributor.authordel Carmen Villalobos-Segura, Maria
dc.contributor.authorMarquet, Pablo A.
dc.date.accessioned2025-01-23T19:52:33Z
dc.date.available2025-01-23T19:52:33Z
dc.date.issued2020
dc.description.abstractThe characterisation and quantification of ecological interactions, and the construction of species distributions and their associated ecological niches, is of fundamental theoretical and practical importance. In this paper we give an overview of a Bayesian inference framework, developed over the last 10 years, which, using spatial data, offers a general formalism within which ecological interactions may be characterised and quantified. Interactions are identified through deviations of the spatial distribution of co-occurrences of spatial variables relative to a benchmark for the non-interacting system and based on a statistical ensemble of spatial cells. The formalism allows for the integration of both biotic and abiotic factors of arbitrary resolution. We concentrate on the conceptual and mathematical underpinnings of the formalism, showing how, using the Naive Bayes approximation, it can be used to not only compare and contrast the relative contribution from each variable, but also to construct species distributions and niches based on arbitrary variable type. We show how the formalism can be used to quantify confounding and therefore help disentangle the complex causal chains that are present in ecosystems. We also show species distributions and their associated niches can be used to infer standard "micro" ecological interactions, such as predation and parasitism. We present several representative use cases that validate our framework, both in terms of being consistent with present knowledge of a set of known interactions, as well as making and validating predictions about new, previously unknown interactions in the case of zoonoses.
dc.description.funderDGAPA-PAPIIT (CONICYT-Chile)
dc.fuente.origenWOS
dc.identifier.eissn1546-9735
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/100634
dc.identifier.wosidWOS:000524111900002
dc.issue.numero1
dc.language.isoen
dc.pagina.final54
dc.pagina.inicio11
dc.revistaBiodiversity informatics
dc.rightsacceso restringido
dc.subjectEcology
dc.subjectNaive Bayes
dc.subjectSpatial data mining
dc.subjectInference
dc.subjectInteraction
dc.subjectBiotic interactions
dc.subjectDistribution modelling
dc.subject.ods14 Life Below Water
dc.subject.ods15 Life on Land
dc.subject.ods13 Climate Action
dc.subject.odspa14 Vida submarina
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.subject.odspa13 Acción por el clima
dc.titleCAN ECOLOGICAL INTERACTIONS BE INFERRED FROM SPATIAL DATA?
dc.typeartículo
dc.volumen15
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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