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Data · dataset · 2026

Replication data for: “Applications of joint species distribution models in community ecology: a systematic literature review”

Listed in DataSuds

Joint species distribution models (JSDMs) have emerged over the past decade as a vital biogeographic tool for incorporating multispecies co-occurrence data into species distribution modeling.

Description

However, a comprehensive synthesis of their practical applications has been lacking. This dataset contains the literature survey matrices and analytical criteria used to systematically review JSDM applications in peer-reviewed literature up to April 2024 via the Web of Science database.

The provided data frames capture systematically extracted information across the following core dimensions: • General study metadata: Publication date, geographic region (at the Biodiversity Information Standards TDWG4 resolution), and environmental context (latitude, insularity, and realm); • Taxonomic representation: Classifications across major groups (amphibians, arthropods, birds, fishes, fungi, mammals, molluscs, plants, and reptiles); • Data characteristics: Manual extractions of input dataset attributes, including occurrence type (presence-absence, abundance, or both), temporal depth (longitudinal vs. snapshot), and data origin (primary vs. secondary); • Plant-specific sub-analyses: Species lists crossed with the Global Naturalized Alien Flora (GloNAF) database to evaluate the prevalence of alien species in plant-focused JSDMs; • Biotic interaction and terminology text mining: Full-text keyword frequency analyses tracking instances of specific interaction terms (commensal*, compet*, facilit*, etc.); • Interaction Focus Index (IFI): Calculated metrics evaluating how the type of input datasets influences the authors' interpretation of JSDM residuals.

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The IFI measures the ratio of the string interact* against more neutral terms like associat* and co-occur* to gauge interpretation preferences.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Longitudinal study 65% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/63UVSJ4 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3103mapping · dataverse ird frvocabulary-mapper@1.0.0keywords['Ecology']
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[method].local:method:longitudinal-studyenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
descriptionsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/description
publication_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
titlesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/name
updated_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
version_labelsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0